2017 icatt course catalogicatt.net/website/wp-content/uploads/2017/07/icatt... · icatt trending...

Trending and Emerging Technologies

2017

ICATT Course Catalog

Your people are great; we make them better!

ICATT Trending and Emerging Technologies Course Catalog – Proprietary Information Page | 1

Table of Contents

This table of contents is hyperlinked.

Table of Contents ....................................................................................................................... 1

ICATT Trending and Emerging Technologies Courses .............................................................. 2

Introduction ............................................................................................................................ 2

Trending and Emerging Technologies .................................................................................... 3

Artificial Intelligence ................................................................................................................ 4

Business Intelligence .............................................................................................................. 5

Digital Mesh............................................................................................................................ 7

Neural Networks ..................................................................................................................... 9

Agile Development ................................................................................................................11

Mindfulness ...........................................................................................................................13

Quantum Computing .............................................................................................................14

Cloud Computing ...................................................................................................................15

The Internet of Things (IoT) ...................................................................................................17

Big Data Analytics .................................................................................................................18

Text Analytics ........................................................................................................................20

Machine Learning ..................................................................................................................22

Soft Skills for Technical Professionals ...................................................................................23

Hi Tech Hi Touch ...................................................................................................................25

Fundamentals of Statistics for Trending and Emerging Technology ......................................27

ICATT Windows 10 Courses .....................................................................................................29

Installing & Configuring Windows 10 .....................................................................................29

Supporting & Troubleshooting Windows 10 ...........................................................................33


ICATT Trending and Emerging Technologies

Courses

Introduction

Private and public organizations are facing profound challenges and changes in the way they

serve and engage consumers. The changes include explosion of channels of communication

beyond conventional media, which completely transform interactions of and with consumers. It

resulted in massive amount of data that would provide further insights into operational

efficiency. The process of decision-making has also shifted from conventional to being

evidence-based and data-drive. The implications of these changes is that many operating

models have been disrupted. Organizations have to continuously adapt new technology and

respond to this consumer-driven world.

As the data complexity grows in terms of volume, velocity, veracity and variety, it becomes more

challenging to flesh out insights from it. This is the power of advanced analytics and big data

technologies come handy. Private and public organizations that have implemented and adopted

digital transformation have become very successful. Those lagging are either struggling to enjoy

sustained growth or achieve desired efficiency and performance.

Series of Training Courses in Trending and Emerging Technologies

ICATT (www.icatt.net) is pleased to present training course series on Trending and Emerging

Technologies. The expected outcome of these courses is to raise the level of awareness and to

develop a working knowledge of Trending and emerging technologies for the purpose of

incorporating these technologies into operational functions.

Each course is designed to be presented in two formats: Overview and expanded versions. The

overview version is a one day presentation; while the expanded version is presented in 5 days.

The courses are available in live face to face format, live remote format and delayed remote

format. All training sessions fully engage the training participants using Thiagi Four Door Training

Model (http://www.thiagi.com/games/2015/7/31/the-4door-elearning-approach). Thiagi’s

approach to learning allows learners to truly take hold of the material and embark on self-led

learning. This course will present the four concept or “doors” that enable learners to go about the

process in the manner that works best for them. Interactive activities and assignments will

engage learner to use 1) The Library, 2) The Playground, 3) The Café, and 4) The Evaluation

Center to take control and build the learning environment that works best for them.

Extended courses will include pre and post assessments, lecture, demonstration and discussion

of essential concepts combined with activities designed to integrate and provide greater

understanding to the course material and its application.

http://www.icatt.net/

http://www.thiagi.com/games/2015/7/31/the-4door-elearning-approach


Trending and Emerging Technologies

This course is offered in a one-day overview version or a five-day in-depth exploration.

Overview

Technology is rapid and ever changing. Public and private organizations need to adapt at

remarkable pace in order to digitize and transform their operations. The changing landscape

comes with its own challenges and opportunities, which necessitate improved and continuous

understanding of trending and emerging technologies. This course will present research, proven

methodologies, tools, and frameworks that will help you separate the signal from the noise on

emerging technologies and trends.

Who is this course for? This course is for students who are interested in technology and how it

is rapidly changing and evolving in the world today.

Learning Objectives

1. Recognize the role rapidly changing technologies play in transforming the way we work,

interact, make decisions and manage systems.

2. Describe and evaluate the impact of the implementation of new software, hardware,

networking and computational technologies.

3. Investigate, test, and consider the use and cost effectiveness of software and/or

hardware in the business environment.

Course Outline

• Enterprise computing (database management, relationship management, etc.)

• Telecommunications convergence (Wi-Fi, Bluetooth, Voice Over Internet Protocol

[VOIP], etc.)

• Collaboration technologies

• Virtualization (artificial Intelligence programs, server virtualization, virtual and augmented

reality, etc.)

• Web technologies (Cloud computing, etc.)

• IT Infrastructure

• Big data storage and analytics, machine learning and data science platforms

• IOT Architecture and Platforms

Key Activities

● Preparation:

○ Learners rate their knowledge level of experience on a long wall chart

○ Partners introduce each other using memory devices

● Presentation:

○ Facilitator walks around the room while presenting information from peripherals

on wall and tabletops.


○ Learners are given pieces of course information and mingle around the room,

sharing the information they have. At the end everyone takes a written quiz.

● Practice:

○ Large group open-ended discussions that allow for a free exchange of ideas

based on questions posed by the instructor.

○ Floor diagramming - have learners create a system or process on the floor and

then use it as a learning tool.

○ Restaurant game - have learners pick terms from a ‘menu’ and ‘serve’ each other

the correct definition.

● Performance:

○ Partners test each other orally - partners orally test each other using prepared

test questions.

Artificial Intelligence


Overview

Artificial Intelligence (AI) is a technology that emulates and enhances human performance. AI

based applications are already at the forefront of algorithmic decision-making and are

transforming operations, processes and interactions. In this course, you will become familiar with

the basic concepts of modern AI as well as some of its representative applications.

Who is this course for? This course is designed for leaders, managers, and other key personnel

who want to be introduced to the basic knowledge representation, problem solving, and learning

methods of AI.

Learning Objectives

1. Develop intelligent systems by assembling solutions to concrete computational problems

2. Identify the role of knowledge representation, problem solving, and learning in intelligent-

system engineering

3. Apply AI to the role of problem solving, vision, and language in understanding human

intelligence from a computational perspective

4. Explain the limitations of current Artificial Intelligence techniques.

Course Outline

• Reasoning: goal trees, problem solving and rule-based expert systems

• Search: depth-first, hill climbing, beam, optimal, branch and bound, A*, games, minimax,

and alpha-beta

• Constraints: interpreting line drawings, search, domain reduction, visual object recognition


• Learning: identification trees, disorder, neural nets, back propagation, genetic algorithms,

sparse spaces, phonology, near misses, felicity conditions, support vector machines, and

boosting

• Representations: classes, trajectories, transitions

• Architectures: GPS, SOAR, Subsumption, Society of Mind

• The AI business

• Model merging, cross-modal coupling, course summary

Key Activities

● Preparation:

○ Experience sharing - learners share stories of their experiences with the course

topic.

○ Learners gauge current feelings on a large peripheral of a thermometer.

● Presentation:

○ With music playing in the background, learners relax and visualize themselves

performing skills and job-related tasks.

○ In-class scavenger hunt - send learners on a search throughout the classroom to

find answers to a list of topic questions.

● Practice:

○ Small group discussions for brainstorming ideas and evaluating job-related

scenarios. Group notes will be written on flip charts and followed by large group

discussions.

○ Learning stations - learners walk through various learning stations in the room to

answer questions. Complete a process, or practice a skill.

○ Q&A Musical Chairs - learners play musical chairs as they answer review

questions.

● Performance:

○ Collaborative Post-test - learners are given a written post-test and are allowed to

work together to complete it.

Business Intelligence


Overview

Business intelligence (BI) is an umbrella term that includes the applications, infrastructure, tools,

and best practices that enable access to and analysis of information to improve and optimize

decisions and performance. This course will present the basic concepts of Business Intelligence

along with current status and future emergence as a tool for business enhancement.

Who is this course for? This course is designed for leaders, managers, and other key

personnel involved in advanced or future technologies.


Learning Objectives

1. Define Business Intelligence and Business Intelligence Architecture

2. Describe the purpose of Business Intelligence in a business.

3. Identify the components (Business Intelligence Architecture) used to build Business

Intelligence Systems.

4. Define Online Analytical Processing (OLAP) as used for Business Intelligence.

5. Identify Business Intelligence tools/software currently in the market.

Course Outline

Module 1 – Decision Making and Decision Support Systems

• The role of computerized support for decision making and its importance.

• The role of Decision Support Systems (DSS)

• How DSS have changed over time

• The evolution of DSS applications and how DSS support each phase decision making

Module 2 – Business Intelligence Concepts and Platform Capabilities

• Terms – Business intelligence (BI), BI architecture, and their components

• Main components of BI platforms and their capabilities

• Competitive landscape of BI platforms

• Building blocks of business reports: types, components, and structure

• Components and structure of business reporting systems

Module 3 – Data Visualization and Dashboard Design

• Job responsibilities of BI analysts

• Importance of data visualization

• Types of data that can be visually represented

• Types of basic and composite charts

• Best practices for designing data visualizations

• Designing dashboards – guidelines and common pitfalls

Module 4 – Business Performance Management Systems

• Purpose of Business Performance Management (BPM) Systems and components

• Four phases of BPM cycle and how organizations typically deploy BPM

• Dashboards versus scorecards


• Benefits of using a balanced scorecard versus a Six Sigma in a BPM system

• The role of visual and business analytics (BA) in BI

Module 5 – BI Maturity, Strategy, and Summative Project

• Levels and factors that impact BI maturity within an organization

• Challenges and potential solutions for BI maturity within an organization

• Critical success factors for implementing a BI strategy and framework

• BI implementation targets

• Project: Use Micro Strategy visual analytics capabilities to analyze KPIs for a fast food

company to find the causes of problems

Key Activities

● Preparation:

○ Learners put together a floor model of system/process and have them arrange it

on the floor as they get acquainted.

○ Learners pick an item and use it to introduce themselves, explaining how the

object relates to them

● Presentation:

○ What-if Scenarios - present hypothetical situations and ask learners how to deal

with them successfully.

○ Group mural creation - assign learners topics to research and then ask them to

summarize the topics with a drawing on a large class mural.

● Practice:

○ Team activities requiring participants to work together to solve problems related

to the course objectives, followed by large group discussions.

○ Equipment labeling - learners label pieces of equipment or system components

with their proper names and functions.

○ Casino game - learners individually answer review questions and let other

learners bet if they think the answer is correct.

● Performance:

○ Puzzle Test - learners complete a crossword puzzle with information from the

course.

Digital Mesh


Overview

Today, devices like phones, cars, camera and appliances are being used as connection points

that people use to access applications and information, or to interact with people, social

communities, governments and businesses. Digital mesh refers to a cooperative local network of


these devices, where they can automatically speak to each other and interoperate seamlessly.

This course will demonstrate the extent and depth of the mesh and look ahead to future

developments and expectations.

Who is this course for? This course is designed for anyone with an interest in Digital Mesh and

how it has changed the landscape of business. Specific roles that would benefit are:

• Management Positions (IT, Procurement, Finance, etc.).

• IT Professionals (Administrators, Service Managers).

Learning Objectives

1. Describe the digital mesh architecture of business systems.

2. Discuss the digital mesh architecture related to digital mesh devices

3. Identify the underlying features provided by a typical device mesh system.

4. List security and management issues that affect device mesh systems.

Course Outline

• The evolution of the digital mesh and device mesh

• Key elements of the digital mesh and device mesh

• Opportunities for the digital mesh and business

• Challenges of the digital mesh

• Applications of digital mesh

• Identify existing device meshes

• Impact of future digital mesh systems

Key Activities

● Preparation:

○ Learners mingle and discuss questions related to course topic.

○ Learners are given colored-objects to represent their level of expertise and asked

to form balanced teams by mixing the colors equally.

● Presentation:

○ Learners view and handle equipment - display pieces of equipment, explain each

one in order, and encourage learners to handle the equipment and ask

questions.

○ Teams research and present topics - give each team a topic to research and

then have them present their findings to the class.

● Practice:

○ Learning journal exercises designed for participants to compare their knowledge

of course topics and their views on course topics before and after instruction is

delivered.


○ Teams research and present a topic - teams research a topic and give a

presentation to the class.

○ Tic-Tac-Toe Review - learners play tic-tac-toe as they answer review questions.

● Performance:

○ Matching Cards - learners test their knowledge and understanding by matching

answer cards with question cards.

Neural Networks


Overview

A neural network is an advanced machine learning technique based on how neurons and

synapses work in the human brain with the goal of solving problems in the same way that a

human would. This course will examine the background and the present and future application of

Neural Networks.

Who is this course for? This course is for students who have an interest in how neural networks

and complex natural human intelligence work together to solve problems.

Learning Objectives

1. Define a neural network

2. Design and implement various neural network architecture

3. Describe simple models of recurrent neural networks

4. Construct a simple neural program

5. Discuss strategies to make neural networks generalize better

Course Outline

Module 1: Introduction to the course - machine learning and neural nets

Module 2: The Perceptron learning procedure – An overview of the main types of neural network

architecture

• The backpropagation learning procedure – Learning the weights of a linear neuron

• Learning feature vectors for words – Learning to predict the next word

Module 3: Object recognition with neural nets (In this module we look at why object recognition

is difficult.)

• Optimization: How to make the learning go faster

Module 4: Recurrent neural networks –This module explores training recurrent neural networks

• More recurrent neural networks – We continue our look at recurrent neural networks

• Ways to make neural networks generalize better – We discuss strategies to make neural

networks generalize better


Module 5: Combining multiple neural networks to improve generalization

• In this module we look at why it helps to combine multiple neural networks to improve

generalization

• Hopfield nets and Boltzmann machines

Module 6: Restricted Boltzmann machines (RBMs) – This module deals with Boltzmann machine

learning

• Stacking RBMs to make Deep Belief Nets

• Deep neural nets with generative pre-training

• Modeling hierarchical structure with neural nets

• Recent and future applications of deep neural nets

Key Activities

● Preparation:

○ Learners research a course topic and build a 3D model out of their findings and

then describe their creations to the class.

○ Learners present objects from their geographical location to present to the class

during introductions.

● Presentation:

○ Video clip - play a brief videotaped scene that illustrates course content.

○ Teams research and present topics - give each team a topic to research and

then have them present their findings to the class.

● Practice:

○ Individual assessments that allow participants to compare their knowledge of

course topics and their views on course topics before and after instruction is

delivered.

○ Learners walk through ‘steps’ of a process - write each step of a process on

paper footprints and spread them out on the floor. Partners walk through steps

as they describe each step’s significance.

○ Q&A Hangman - partners play hangman game with review questions.

● Performance:

○ Learners Re-create the Course from Memory - the class works together to

recreate the main points of the course on a flipchart or wall mural.


Agile Development


Overview

Agile development is an iterative approach to software delivery that builds software incrementally

from the start of the project, instead of trying to deliver it all at once near the end. This course will

present the approach, execution, and effectiveness of Agile development.

Who is this course for? This course is designed for anyone who is considering the use of Agile

Methods for software development, including project, program, and product managers.

Learning Objectives

1. Describe the history of Agile and how the collection of principles and practices came

together to enable customer success

2. Examine Agile methods, including: Scrum, Extreme Programming, Lean Software

Development and Kanban

3. Illustrate best practices from the various methodologies that will contribute to team

success

4. Define the Agile terminology, roles and forums with context

5. Describe the processes that support Agile principles to enable the delivery of great

products

Course Outline

Module 1: Why Agile – What are the problems that Agile is addressing?

• Software Development has historically been plagued by many problems including

inadequate requirements that lead to products that customers aren’t happy with and

sometimes can’t use. We will start the class by making the case for a shift to an Agile

approach to solve the problems inherent in software development.

Module 2: The Agile Paradigm Shift – Software Development is Complex

• The problems of software development are frequently the result of treating it like it is a

manufacturing process designed to replicate the same outcomes on each pass through

the process. We will learn how software development is a complex endeavor more like

driving on a freeway with high variation of experience each time we do it. We will discuss

the importance of building feedback loops into the process to accommodate variation.

Module 3: Agile Methodologies – What’s trending?

• In this section we will review the Agile methodologies that are trending. We will visit first

Lean which is foundational and influences all other Agile methodologies. Then we will do

an overview of Scrum. Scrum is the most popular Agile methodology and is great for

projects. Scrum or Scrum variants are being used by about 75% of those doing Agile, but

Scrum is not the only Agile approach. We’ll then see how Kanban might be a better


answer for operations and sustainment work. We will then review the Extreme

Programming practices that can be used mixed into other Agile approaches to help us

rapidly accommodate change.

Module 4: Building the Agile Team

• Traditional software development focuses on results needed from a project. Agile focuses

on creating a team that can deliver results over and over. In this section we will discuss

what makes a high-performing team and how to build that team. The section will also

cover the team roles associated with an Agile approach.

Module 5: Inspect and Adapt – Continuous Improvement

• The power of Agile comes from the fact that continuous improvement is built into the Agile

system. In this section we will review how People, Product and Process improve

themselves through a frequent inspect and adapt process. We will discuss the main Agile

ceremonies that help us accomplish this: Iteration Review/Demo and the Retrospective.

Key Activities

● Preparation:

○ Display course-related questions and ask learners to place a green dot by ones

they know and red dots by ones they don’t know.

○ Learners design their own logos on name cards and explain their significance to

the class.

● Presentation:

○ Model creation - using various materials, build a replica of what is being taught.

○ Learners read and review - have learners read assigned material, sum up the

main points with a partner, then join in class discussion about it.

● Practice:

○ Participant worksheet exercises developed for brainstorming ideas and

evaluating work-related scenarios and case studies.

○ Learners arrange components on a large wall display and piece together jumbled

components of a process or system on a wall peripheral.

○ Q&A Dice Game - Teams roll a dice and answer numbered question cards that

correspond to the number they rolled.

● Performance:

○ Learners Write a Course Summary - learners create a list, from memory, of

everything they’ve learned during a course session. They then share their lists to

create one big summary.


Mindfulness


Overview

Mindfulness is the psychological process of bringing one's attention to the internal and external

experiences occurring in the present moment which can be developed through the practice of

meditation and other training. This course will present the concepts and demonstrate some basic

methodologies to effectively use Mindfulness.

Who is this course for? This course is for anyone wishing to improve their focus capacity and

become a mindful leader.

Learning Objectives

1. Define mindfulness

2. Compare mindfulness and meditation

3. Describe benefits of mindfulness

4. Identify different mindfulness techniques to minimize distractions and improve focus

5. Apply mindfulness in real-time

Course Outline

• Defining mindfulness – underlying principles, usefulness, and practical applications

• Mindfulness vs. Meditation

• Benefits of mindfulness

• Mindfulness techniques to improve focus and clarity

• Thought-leaders on mindfulness

• Practicing mindfulness, applying various mindfulness techniques

• Mindfulness in work and home life

Key Activities

● Preparation:

○ Learners construct a wall display of system/process on large pieces of poster

board and have them assemble the pieces into a giant wall peripheral.

○ Teams invent team names and create a team logo on flipchart paper and post it

on the wall.

● Presentation:

○ Props to illustrate concepts - facilitator presents a concept, idea, or process using

three-dimensional objects.

○ Partners teach each other - ask learners to research a topic and teach it to their

partners.

● Practice:


○ Open-ended worksheet exercises designed for participants to reflect on what

they have learned in the course.

○ Puzzle assembling - learners put together puzzles of processes, technical

equipment or systems.

○ High card answer game - members from two teams pick playing cards and get to

answer a question for points.

● Performance:

○ Mastery Demonstration - learners perform a skill or act out a scenario that

demonstrates their mastery of the training material.

Quantum Computing


Overview

Quantum computing takes advantage of the strange ability of subatomic particles to exist in more

than one state at any time so that computing operations can be done much more quickly and use

less energy than classical computers. This course will present the basic concepts of Quantum

Computer and contrast them against traditional computing while demonstrating the advantages of

this radical new approach.


interested in quantum computing and its comparison to conventional computing. Specific roles

that would benefit are Management Positions (IT, Procurement, Finance, etc.), IT Professionals

(Administrators, Service Managers), Staff of Service Providers.

Learning Objectives

1. Effectively compare and contrast quantum computing and conventional computing

2. Investigate the basic concepts and techniques of quantum computing and conventional

computing

3. Explain the implications of quantum computing for the theory of computation

4. Identify the techniques and procedures involved in the possible replacement of

conventional computing to quantum computing

Course Outline

• Introduction to computing (quantum and conventional)

• Quantum vs. conventional binary systems (qubit vs. binary)

• Quantum vs. conventional computation algorithms and how they work

• Advantages of quantum computers versus conventional computers

• The future of quantum computing


Key Activities

● Preparation:

○ Learners take visually-based notes that capture more information than traditional

word-based notes around a concept.

○ Learners are given cards with terms, concepts, and topics on them and then

mingle and gather each other’s existing knowledge of the item on their card.

● Presentation:

○ Storytelling to illustrate course content - facilitator tells a story that dramatically

illustrates a specific learning point.

○ Carousel brainstorm - have learners face each other in two circles, one inside the

other. Everyone asks the facing partner a question, gets a response, then outer

circle shifts clockwise to repeat the process.

● Practice:

○ Large group open-ended discussions that allow for a free exchange of ideas

based on questions posed by the instructor.

○ Learners add missing pieces to a peripheral - learners add missing pieces to a

wall or tabletop model of a system, process, or piece of equipment.

○ Pictionary game - learners draw pictures of key terms or concepts and ask

teammates to guess what the drawings represent.

● Performance:

○ Horse Race Test - Have teams race paper horses to a finish line by correctly

answering review questions.

Cloud Computing


Overview

Cloud computing is about storing, accessing and processing data and programs over the Internet.

The cloud is just a metaphor for the Internet. One of the major advantages of using cloud services

is that we don't have to have an on premise big data infrastructure and we don't have to worry

about scalability. Cloud computing models offer the promise of massive cost savings combined

with increased IT agility. It is considered critical that government and industry begin adoption of

this technology in response to difficult economic constraints.

Who is this course for? This course is designed for technology professionals with no knowledge

of cloud computing; however, a knowledge of Internet technologies, Microsoft Windows, and Web

applications is beneficial.

Learning Objectives

1. Describing cloud computing

2. Identifying cloud computing infrastructures

3. Analyzing the benefits and risks of cloud computing


4. Evaluate and assess business and technical benefits of cloud computing

5. Comparing and contrasting cloud computing services

6. Evaluating cloud storage solutions

Course Outline

• Introduction to cloud computing

• Cloud computing components

o Clients

o Servers

• Cloud computing platforms

o Amazon Web Services (AWS)

o Google Cloud

o Microsoft Azure

• Cloud computing services

o Platform as a Service (PaaS)

o Software as a Service (SaaS)

• Cloud storage solutions

o Dropbox

o Google Drive

o Microsoft One Drive

• Benefits and risks of cloud computing

• Implementing cloud computing security solutions

Key Activities

● Preparation:

○ Learners introduce themselves using animal metaphors.

● Presentation:

○ Mnemonics for course terms and concepts - use memory devices to help

learners remember course terms, concepts, and processes.

○ Model building - ask learners in teams to build physical models representing

various aspects of the course material and then describe their creations to the

class.

● Practice:

○ Small group discussions for brainstorming ideas and evaluating job-related


discussions.


○ Partners create and correct errors - partners create errors or problems in a

process or system for each other to correct or solve.

○ Q&A Faceoff - two teams line up, face each other, and answer questions for

points.

● Performance:

○ Question Card Collaborative Post-test - give each learner an index card with

three questions on it and have them collaborate to find the answers.

The Internet of Things (IoT)


Overview

The future is “The Internet of Things” - everyday devices equipped with sensors and connectivity

to work together, understand what we’re doing, and operate automatically to make our lives

easier. And, of course, we’ll be able to control and configure it all, likely with our tablets and

smartphones, or by speaking. After all, Siri and Google Now have taken voice recognition

mainstream. The Internet of Things is fast becoming a fixture in some industries, and the

technologies for transformative business applications are at hand. It is also the backbone of digital

mesh. This course explores the many business opportunities IoT presents, details its associated

implementation challenges and describes how organizations can accelerate their progress so they

don’t fall behind.

Who is this course for? This course is designed for anyone with an interest in the Internet of

Things and how it can change the landscape of business. Specific roles that would benefit are:

• Management Positions (IT, Procurement, Finance, etc.).

• IT Professionals (Administrators, Service Managers).

• Staff of Service Providers

Learning Objectives

1. Describe IoT and business ecosystems

2. Compare and contrast opportunities and challenges presented when using company IoTs

3. Explain how IoTs may be used to improve organizational growth

Course Outline

• Key Trends and Terms - IoT ecosystem

• Key Trends and Terms - Business ecosystems

• Changing the IoT landscape to reflect in business ecosystems

• Implementing the IoT in the business ecosystem

• Opportunities for IoT in businesses and organizations

• Five challenges of IoT in businesses and organizations


o Lack of Shared Infrastructure

o Lack of Common Standards

o Powering Devices

o Data Control and Security

o Data Sharing

• The future of the IoT in the workplace

Key Activities

● Preparation:

○ Learners find the same person who holds the same animal card as they,

introducing themselves to everyone they meet.

● Presentation:

○ Metaphors and analogies help explain new information.

○ Learners assemble definitions - give each learner part of a definition for a term or

concept in the course. Then ask them to piece their parts together into a

meaningful definition.

● Practice:

○ Team activities requiring participants to work together to solve problems related

to the course objectives, followed by large group discussions.

○ Problem solving circle- learners form a circle, toss a ball to each other, and pose

problems for the group to solve.

○ Q&A Checkers - teams play a game of checkers, and for each square they land

on, they have to answer a question.

● Performance:

○ Flash Card Post-Test - have partners quiz each other with questions on flash

cards.

Big Data Analytics


Overview

Analyzing big data allows analysts, researchers, and business users to make better and faster

decisions using data that was previously inaccessible or unusable. This course will present the

basic concepts of Big Data Analytics to enable learners to understand the approach, value and

methodologies of using Big Data Analytics for more efficient, effective business practices.

Who is this course for? The course is intended for a general audience including business

people, managers, system architects/engineers, business/systems analysts, and software

developers.

Learning Objectives


1. Explain the history of data and big data analytics

2. Define key terms and understanding the jargon of data analytics

3. Describe basic phases of a data analytics project

4. Explore the different types of data

5. Discuss the overview of different mathematical approaches for data analytics

6. Examine the role of analytic reasoning and logic to guide and validate efforts

Course Outline

• Introduce Data Analysis and provide Big Data Definition

• Introduce the techniques and challenges in Big Data

• Interpret, report, and visualize the results of data analytics

• Verification and validation of data analytics projects and systems

• Transitions from project concept to deployed data analytic system

• Engineer computational and data storage considerations for data analytics

• Discover Data Analytics at Scale: Big Data

• Use Big Data tools and techniques (Apache Spark)

• Discuss current trends in data analytics

• Success and failures in big data analytics

• Key drivers for data analytics (data, math, computation and analysis)

• Introduce the techniques and challenges in Distributed Computing

• Show how the functional programming approach is particularly useful in tackling these

challenges

• Short overview of previous solutions: Google’s MapReduce and Apache Hadoop

• Introduce Apache Spark

Key Activities

• Preparation:

o Learners write their expectations on Post-Its and stick them on a wall. During the

course, learners remove these expectations as they are met.

• Presentation:

o Training video - learners find answers to prepared questions while watching a

related training video.

o Learners collaborate to define key terms - have learners work together to define

key terms and concepts.


• Practice:

o Learning journal exercises designed for participants to consider how they would

apply what they have learned to their own organization/job position.

o Detectives Exchange Clues - teams collect clues from each other and solve

problems and answer questions.

o Question Stations Relay - learners ‘harvest’ questions from stations around the

room and answer them with their teams.

• Performance:

o Learners Categorize Question Cards - learners are given a deck of question

cards that they must separate according to which ones they can answer and

which ones they cannot.

Text Analytics


Overview

Data is becoming increasingly important as organizations look to make evidenced-based

decisions that enhance operations, improve efficiency, reduce risk, increase return on investment

and so on. Conventional methods of processing and analyzing data do not work with unstructured

data, which makes up more than 80% of all data being generated across the board. Such data is

often available in huge chunks of texts, tweets, posts, comments, none of which are stored in

traditional relational database framework and hence cannot easily be accessed, transformed and

analyzed. This where text analytics comes into play. It essentially reflects the process of

converting a highly unstructured data into valuable insights. This course will address the basics of

text analytics, natural language processing and text data mining in general.

Who is this course for? IT professionals with little to no experience to very experienced,

especially professionals in data analysis, data warehouse, data mining, business intelligence,

reporting, data science.

Learning Objectives

1. Perform text mining applications using structured & unstructured data;

2. Identify document term matrix, term frequency, term frequency inverse document, term

frequency for normalizing

3. Differentiate between size of word which indicates the frequency of the said word in a

word cloud, clustering based on related use for better insights and how to read the results

in context to make sense of the word

4. Identify from a practical case study the various steps of text mining in R and the use of

Positive and negative word banks

5. Familiarize yourself with Learn Web and Social media extraction using R, Risk sensing -

sentiment analysis, Twitter application management for extracting tweets


6. Explore the clustering concept, that is an integral part of text mining

7. Apply text analysis techniques to solve problems faced by governments and companies

Course Outline

• Introduction, Importance and Bag Of Words Representation

o Introduction to Text mining and this course

o Why text mining and sources of textual data, Bag of Words

• Terminology and Preprocessing Of Data

o Document and corpus

o Stemming of words

o Positive and negative features of a review

• DTM and TDM Format

o Document term matrix

o Term Frequency

o Term Frequency Inverse document

o Term frequency for normalizing

• Corpus Level Word Cloud

o Size of word indicates the frequency of the word

o Clustering based on related users for better insights

• Case Study on Real Project Part- 1

o Brief case study on Clinical Trials project

o Recognize the Business objective and description

o Unigram, Word cloud, cluster dendrogram

o Bigram Word cloud & semantic network

• Case Study on Real Project Part- 2

o Practical case study using R

o The various steps of Text mining in R

o Positive and negative words

Key Activities

• Preparation:

o Learners post their goals on paper sun rays and any obstacles on clouds. Then

they brainstorm ways of removing obstacles.


• Presentation:

o Big picture information - give learners a large pictogram overview of the course

or topic and encourage them to color it during presentation.

• Practice:

o Participant worksheet exercises developed for brainstorming ideas and

evaluating work-related scenarios and case studies.

o Procedure Cards Sort - partners get a deck of cards containing steps to a

procedure or process. They must shuffle the deck and lay the cards out in the

correct order.

o Question Dice Roll - learners answer review questions on cards and then roll

dice for points.

• Performance:

o Learners Write and Post What They Learned - learners write one or more

important things they learned in the program on a piece of paper and post it on

the wall for others to review.

Machine Learning


Overview

Machine learning (ML) is a method of data analysis that automates analytical model building.

Using algorithms that iteratively learn from data, machine learning allows computers to find hidden

insights without being explicitly programmed where to look. This course will explain how to build

systems that learn and adapt using real-world applications.


interested in the concept of machine learning and how it may have applications to their

organizations.

Learning Objectives

1. Identify supervised learning techniques for regression and classification.

2. Identify unsupervised learning techniques for data modeling and analysis.

3. Compare and contrast probabilistic versus non-probabilistic viewpoints.

4. Apply optimization and inference algorithms for model learning.

Course Outline

• Introduction

• Maximum Likelihood Estimation, Linear regression, Least Squares

• Ridge Regression, Bias-Variance, maximum a posteriori inference

• Ridge Regression, Bias-Variance, and Naïve Bayes algorithm


• Bayesian Linear Regression, subset selection for linear regression

• Nearest neighbor classification, Bayes classifiers, Linear classifiers

• Logistic regression, Laplace approximation, kernel methods, Gaussian processes

• Maximum Margin, Support Vector Machines, Trees, Random Forests, Boosting

• Clustering, k-means, Expectation–Maximization algorithm

• Markov models, hidden Markov models

• Model Selection and Selection criteria

Key Activities

• Preparation:

o Experience sharing - learners share stories of their experiences with machine

learning.

o Learners gauge current feelings on a large peripheral of a thermometer.

• Presentation:

o With music playing in the background, learners relax and visualize themselves


o In-class scavenger hunt - send learners on a search throughout the classroom to

find answers to a list of topic questions.

• Practice:

o Small group discussions for brainstorming ideas and evaluating job-related


discussions.

o Learning stations - learners walk through various learning stations in the room to


o Q&A Musical Chairs - learners play musical chairs as they answer review

questions.

• Performance:

o Collaborative Post-test - learners are given a written post-test and are allowed to

work together to complete it.

Soft Skills for Technical Professionals


Overview

Recent research reveals that “85% of job success comes from having well-developed soft and

people skills, and only 15% of job success comes from technical skills and knowledge (hard

skills). Unfortunately, many professionals, especially those in technical fields such as Scientists,

Engineers, and IT professionals over depend on their technical skills.


The course contains great insights, tools, and processes that empower your people to develop the

12 soft skills that make or break their individual and collective success. The course will be divided

in three parts: Mastering Self, Getting Along, and Leading Others. There will be four soft skills

under each part.

Who is this course for? This course is designed to empower supervisors and managers who

wish to master self, get along with and lead others successfully to achieve extraordinary results,

meet the bottom line of their team, and contribute their share toward meeting the organization’s

mission.

Learning Objectives

1. Explain the vital role soft skills play in mastering self, getting along with and leading others

2. Discover the soft skills necessary to succeed in managerial positions

3. Identify tools, processes, and approaches that enable them improve their soft skills

4. Develop action plans to practice what they learned right away when they return to the

workplace.

Course Outline

• Part I: Mastering Self

o Soft Skill 1: Increasing self-awareness

o Soft Skill 2: Regulating Emotions Wittingly

o Soft Skill 3: Managing Time and Energy Wisely

o Soft Skill 4: Solving Problems & Making Right Decisions

• Part II: Getting Along with Others

o Soft Skill 5: Playing Teamwork

o Soft Skill 6: Communicating Effectively

o Soft Skill 7: Promoting Diversity & Embracing Inclusiveness

o Soft Skill 8: Turning Conflicts into Opportunities

• Part III: Leading Others

o Soft Skill 9: Motivating Others to Aim High

o Soft Skill 10: Coaching & Mentoring to Empower Others

o Soft Skill 11: Negotiating With Others for Win-Win Deals

o Soft Skill 12: Leading Others through Change Smoothly


Key Activities

• Preparation:

o Assessment: Learners gauge their current competency for each soft skill.

o Story sharing: Learners share their stories.

• Presentation:

o Video clips: Some video clips are played to reinforce learning.

o Study and present: Learners are given assignments to study their strength and

limitations against each soft skill, and present their findings.

o Group discussion: Learners are assigned topics to discuss in small groups and then

report back to the class.

• Practice:

o Experience sharing: Large group discussion based on some selected open-ended

questions to solicit some practical experiences of learners.

o Action items: Learners pick a few action items they intend to implement right away

when they return back to their workplace

• Performance:

o Using latest tools: Learners will be given tools they can use to improve their individual

and team performance.

o Lesson sharing: At the end of each soft skill session, learners pick one thing they

learned and explain how that could bring positive change, and ultimately performance

improvement in the workplace.

Hi Tech Hi Touch


Overview

A multinational, publicly-traded organization providing a popular search engine ranks job

candidates on four factors, the most important of which is humility. A recent research study

suggests that we face an empathy deficit in the workforce. Related research suggests that our

“mirror neurons” help us empathize with others. In the late 90’s, author Daniel Goleman wrote that

emotional intelligence (the ability to process, use, and manage emotions in social settings) can

matter more than IQ to workplace success.

There are two parts to successful customer service and customer relationship building in a high-

tech environment – solutions and social sensibilities – or technology and touch. Building enduring

customer relationships requires attention to both parts.

This course will present concepts and demonstrate strategies to strengthen the competencies

associated with the “high touch” part of customer service and customer relationship building in a

high-tech environment.

Who is this course for? Individual and team-based client-facing information (IT) professionals.


Learning Objectives

1. Examine and discuss hi touch skills required to build and maintain enduring customer

relationships in a hi-tech environment

2. Identify impact of language and behavior on establishing and maintaining enduring

customer relationships in a hi-tech environment

3. Apply hi touch skills (in language and behavior) to relevant hi-tech customer scenarios

4. Differentiate specific hi touch skills required for the individual, team member, and

organization contributor roles

5. Create an action plan to enhance and establish enduring existing and future customer

relationships

Course Outline

• Hi Touch and Customer Relationship Building

• Hi Touch and Emotional Intelligence

• Hi Touch Skills for the IT Professional (EI Personal Competencies)

o Humility

o Listening

o Self-management

o Communication

o Practice

• Hi Touch Skills for the IT Team Member (EI Social Competencies)

o Empathy

o Patience

o Flexibility

o Practice

o Collaboration

o Customer Service

o Delegation

o Mentoring

o Practice

• Hi Touch Skills for the IT Organization Contributor (EI Social Competencies)

o Influencing

o Negotiation


o Vendor Management

o Hi Touch and Customer Relationship Maintenance

o Practice

Key Activities:

• Preparation:

o Learners are asked to generate a list of hi touch skills for a hi-tech environment.

o Small groups read assigned articles and present their learning to the larger class

group.

o Learners are asked to write and refer to, throughout the course, a significantly

challenging customer interaction they have experienced.

• Presentation:

o Learners view a humorous commercial video clip of an IT professional-customer

interaction.

• Practice:

o Large group open-ended discussions that allow for a free exchange of ideas based

on questions posed by the instructor.

o Group brain problem solving during which the entire class acts as ‘one brain’ and

works together to solve problems.

o Small groups respond to relevant scenarios.

• Performance:

o Learners “role play” a ‘hi touch’ response to their most challenging customer

interactions.

o Learners journal about everything they have learned in the program, the progress they

have made, and how they will apply the learning in the individual, team member, and

contributor roles.

Fundamentals of Statistics for Trending and Emerging Technologies


Overview

Statistics is the science that turns data into information and then into knowledge. Based on the

collection, display, and analysis of data; statistics could help us in making wise decisions in the

face of uncertainty. This course covers applied statistical methodology from data analysis

viewpoint. In this course, you will become familiar with the basic concepts of modern statistic, as

well as some of the representative applications of statistics.



who want to be introduced to the basic knowledge representation, problem solving, and learning

methods of statistics.

Learning Objectives

1. Recognize the extent to which Statistical is anticipated to fuel the next IT transformation

2. Explain the main features of traditional and modern statistics.

3. Identify the role of formal statistical theory and informal data analytic methods.

4. Distinguish statistical methods relevant to upper division interdisciplinary courses.

5. Analyze statistical data properly to enhance students’ critical thinking in domains involving

judgments based on data.

Course Outline

• Introduction

• Statistical Learning

• Exploratory data analysis

• Linear Methods for Regression

• Linear Methods for Classification

• Variance and Cross-Validation

• Resampling Methods: Cross-Validation and Bootstrap

• Tree-Based Methods

• Support Vector Machines and Flexible Discriminants

Key Activities

• Preparation:

o Experience sharing - learners share stories of their experiences with the course

topic.

o Learners gauge current feelings on a large peripheral of a thermometer.

• Presentation:

o With music playing in the background, learners relax and visualize themselves


o In-class scavenger hunt - send learners on a search throughout the classroom to find

answers to a list of topic questions.

• Practice:

o Small group discussions for brainstorming ideas and evaluating job-related


discussions.


o Learning stations - learners walk through various learning stations in the room to


o Q&A Musical Chairs - learners play musical chairs as they answer review questions.

• Performance:

o Collaborative Post-test - learners are given a written post-test and are allowed to work

together to complete it.

ICATT Windows 10 Courses

Installing & Configuring Windows 10

Course Length: Five Days

Overview

For organizations and their employees, Windows 10 may very well be Microsoft's greatest

platform ever. Windows 10 is not only more familiar from a user standpoint, but it also includes

so much of what businesses need—including enterprise-grade security, identity and information

protection features, which reduces complexity and proves a better experience for the modern

needs of business.

Who is the course for? This five-day course is for Information Technology professionals who

administer and support Windows 10 desktops, users, and network and security resources in a

Windows Server domain environment. This course may also provide some of the skills needed to

take the Microsoft Certified Solutions Associate (MCSA) 70-698 exam: Installing and Configuring

Windows 10.

Prerequisites: Students should have previous experience with installing and configuring

Windows based operating systems.

Learning Objectives

1. Plan, install, configure, and upgrade to Windows 10

2. Perform post-installation configuration

3. Install and manage apps

4. Implement networking

5. Implement network security

6. Manage Windows 10 with Group Policy

7. Implement remote management

8. Manage local storage.

9. Manage files and resources

10. Secure Windows 10

11. Implement remote connectivity

12. Maintain and update Windows 10

13. Recover and troubleshoot Windows 10


Topics Covered and Detailed Outline

Installing Windows 10

1. Overview of Windows 10

2. Planning your Windows 10 deployment

3. Installing and deploying Windows 10

4. Upgrading to Windows 10

5. Windows 10 installation maintenance

6. Managing volume activation

7. Lab: Upgrading to Windows 10

8. Migrating user settings

9. Upgrading from Windows 8.1 to Windows 10 (optional)

10. Lab: Maintaining a Windows 10 installation with Windows ICD

11. Create and configure a Windows Imaging and Configuration Designer (Windows ICD)

provisioning package

Performing Post-Installation Configuration (Overview of Management Tools)

1. Customizing the user interface

2. Managing devices, device drivers, and services

3. Configuring features, mobility, and power options

4. Overview of Client Hyper-V

5. Lab: Managing devices

6. Install a device driver

7. Resolving the device driver problem

8. Lab: Configuring features and power options

9. Turning on Windows features with Control Panel

10. Managing installed Windows features

11. Configuring power options

Implementing Networking (Home Groups, Workgroups, and Domains)

1. Configuring IPv4 network connectivity

2. Configuring IPv6 network connectivity

3. Implementing name resolution

4. Troubleshooting network connectivity

5. Implementing wireless network connectivity

6. Lab : Implementing network connections

7. Verifying and testing network connectivity

8. Configuring automatic IPv4 addressing

9. Configuring and testing name resolution

10. Lab : Troubleshooting network connections

11. Resolving a network problem

Implementing network security (Implementing Windows Firewall)


1. Connection security rules

2. Implementing Windows Defender

3. Lab: Implementing network security

4. Creating and testing inbound rules

5. Creating and testing outbound rules

6. Creating and testing connection security rules

7. Configuring Windows Defender

Managing Windows 10 with Group Policy (Overview of Group Policy)

1. Configuring Windows 10 devices with GPOs

2. Lab: Describe Windows Firewall.

3. Managing Windows 10 by using Group Policy

Implementing remote management (Using Remote Desktop)

1. Using Remote Assistance

2. Remoting with Windows PowerShell

3. Lab: Implementing remote management

4. Using Remote Desktop



Managing storage (Overview of Storage Options)

1. Managing disks, partitions, and volumes

2. Maintaining disks and volumes

3. Implementing Storage Spaces

4. Implementing and managing OneDrive

5. Working with virtual hard disks

6. Lab: Managing storage

7. Adding a disk

8. Creating a simple volume

9. Creating a storage space

Managing files and resources (Overview of File Systems)

1. Configuring and managing file access

2. Managing shared folders

3. Implementing Work Folders

4. Managing printers

5. Lab: Creating, securing, and sharing a folder

6. Creating, securing, and sharing a folder

7. Lab: Implementing Work Folders

8. Configuring Work Folders

9. Lab: Managing printers

10. Installing and sharing a printer


Deploying and managing apps (Overview of Apps in Windows 10)

1. The Windows Store and Windows Store for Business

2. Automating app deployment

3. Configure web browsers

4. Lab: Deploying and managing Windows Store apps

5. Side loading an app

6. Lab: Deploying apps with Windows ICD

7. Creating a provisioning package

8. Deploying the package

9. Verifying deployment

10. Lab: Configuring Microsoft Edge

11. Configuring and using Microsoft Edge

Securing Windows 10 (Managing user accounts)

1. Configuring UAC

2. Implementing and Managing BitLocker

3. Lab: Configuring user accounts

4. Managing user accounts

5. Configuring UAC

6. Lab : Managing data security

7. Using BitLocker

Implementing remote connectivity (Overview of remote connectivity options)

1. Implementing VPNs

2. Implementing DirectAccess

3. Lab: Implementing a VPN

4. Deploying a virtual private network (VPN) server

5. Creating a VPN connection

Maintaining Windows 10 (Updating Windows 10)

1. Monitoring Windows 10

2. Lab: Maintaining Windows

3. Configuring updates for a single device

4. Configuring updates with GPOs

5. Monitoring reliability and performance

Recovering Windows 10 (Recovering files)

1. Performing system recovery

2. Lab: Troubleshooting and recovery

3. Using File History to recover files

4. Using Previous Versions to recover files

5. Recovering a device with a restore point

6. Using the advanced startup options to recover a device


Learning Activities Based on Thiagi 4 Door Model

1. Library

A module for each segment created with various links and supplemental materials for installing

and configuring Windows 10 resources.

a. Books

▪ Exam Ref 70-698: Installing and Configuring Windows 10 with Practice Test- First Edition

https://www.microsoftpressstore.com/store/exam-ref-70-698-installing-and-configuring-windows-

9781509305049 - Andrew Bettany, Andrew Warren ISBN: 978-1-5093-0295-6

b. Streaming Videos

c. PowerPoint Slides Created with Camtasia Studio

2. Playground

▪ Digital learning labs, scenarios, and activities created with Articulate Storyline/Adobe

Captivate or any other game/scenario-based eLearning platform

▪ Digital learning labs, scenarios, and activities provided by Microsoft Learning Labs

▪ Microsoft Windows 10 70-698: Installing and Configuring Windows 10 - CBT Nuggets

provides students with hands-on virtual labs. In turn, labs can be used in Cafe for

discussions.

https://www.cbtnuggets.com/it-training/microsoft-windows-10-70-698-installing-and-configuring-

windows-devices.

3. Cafe

Discussion boards, blogs, and wikis for students to collaborate, reflect, and share ideas based on

lessons and scenarios.

4. Evaluation Center

Knowledge checks, Formative, Summative, and work-integrated assessments given throughout

course modules to test students’ knowledge of existing course content.

Supporting & Troubleshooting Windows 10

Course Length: Five Days

Overview

This course is designed to provide students with the knowledge and skills required to support

and troubleshoot Windows 10 PCs and devices in a Windows Server domain environment.

These skills include understanding of Windows 10 features, how they can be used in an Active

Directory environment and how to troubleshoot them.

Who is the course for? This five-day course is for Desktop Support technicians (Tier 2 support)

who support Windows 10 desktops, devices, users, and network and security resources in a

Windows domain environment. This course may also provide some of the skills needed to take

the Microsoft Certified Solutions Associate (MCSA) 70-697 exam: Windows 10 Configuring

Windows Devices.

https://www.microsoftpressstore.com/store/exam-ref-70-698-installing-and-configuring-windows-9781509305049

https://www.microsoftpressstore.com/store/exam-ref-70-698-installing-and-configuring-windows-9781509305049

https://www.cbtnuggets.com/it-training/microsoft-windows-10-70-698-installing-and-configuring-windows-devices

https://www.cbtnuggets.com/it-training/microsoft-windows-10-70-698-installing-and-configuring-windows-devices


Prerequisites: Students should have previous experience with installing and configuring

Windows based operating systems.

Learning Objectives

1. Describe the processes involved in planning and using a troubleshooting methodology

for Windows 10.

2. Troubleshoot startup issues and operating system services on a Windows 10 PC.

3. Resolve issues related to hardware devices and device drivers.

4. Troubleshoot Windows 10 PCs remotely.

5. Troubleshoot issues related to network connectivity.

6. Troubleshoot client configuration failures and Group Policy Object (GPO) application

issues.

7. Troubleshoot issues related to user settings.

8. Troubleshoot remote connectivity issues.

9. Resolve issues related to accessing resources from computers that are domain-joined.

10. Resolve issues related to accessing resources from computers that are not domain-joined.

11. Troubleshoot issues related to application installation and operation.

12. Recover a PC running Windows 10.

Topics Covered and Detailed Outline

Implementing a Troubleshooting Methodology

1. Overview of the Troubleshooting Steps

2. Troubleshooting Tools

3. Lab: Implementing a Troubleshooting Methodology

4. Implementing a Troubleshooting Methodology

5. Lab: Using Troubleshooting Tools

6. Using Troubleshooting Tools

Troubleshooting Startup Issues

1. Overview of the Windows 10 Startup Recovery Environment

2. Troubleshooting Startup Settings

3. Troubleshooting Operating System Services Issues

4. Recovering BitLocker-Protected Drives

5. Lab : Troubleshooting Startup Issues

6. Resolving a Startup Issue

7. Lab: Recovering BitLocker-Encrypted Drives

8. Recovering a BitLocker-Encrypted Drive

9. Creating a New BitLocker Password

Troubleshooting Hardware and Device Drivers

1. Troubleshooting Device Driver Failures

2. Overview of Hardware Troubleshooting

3. Troubleshooting Physical Failures

4. Monitoring Reliability


5. Configuring the Registry

6. Lab: Troubleshooting Device Driver Issues

7. Troubleshooting a Missing Device Driver

8. Resolving Hardware Problems

9. Resolving Device Driver Problem

10. Configuring Group Policy Settings to Control Device Installation

11. Lab: Troubleshooting Hardware Issues

12. Diagnosing Memory and Troubleshooting Failed Disk Redundancy

13. Accessing a Volume from a Failed Computer

Troubleshooting Remote Computers




4. Lab: Troubleshooting Remote Computer by using Remote Desktop and Remote

Assistance



7. Lab : Troubleshooting Remote Computer by Using Windows PowerShell

8. Using Windows PowerShell Remoting

Resolving Issues with Network Connectivity Issues

1. Determining Network Settings

2. Troubleshooting Network Connectivity

3. Troubleshooting Name Resolution

4. Lab: Resolving Network Connectivity Issues

5. Resolving a Network Problem

6. Troubleshooting a Wireless Network

Troubleshooting Group Policy

1. Overview of Group Policy Application

2. Resolving Client-Configuration Failures and GPO Application Issues

3. Lab: Troubleshooting Issues with Group Policy Application

4. Resolving Group Policy Application

5. Lab: Resolving Issues with Group Policy

6. Resolving Group Policy Application

Troubleshooting User Settings

1. Troubleshooting Login Issues

2. Troubleshooting the Application of User Settings

3. Lab: Troubleshooting Login Problems

4. Resolving Login Issue

5. Lab: Troubleshooting the Application of User Settings

6. Resolving Folder Redirection Issue


Troubleshooting Remote Connectivity

1. Troubleshooting VPN Connectivity Issues

2. Troubleshooting DirectAccess

3. Lab: Troubleshooting VPN Connectivity

4. Troubleshoot VPN Connectivity Issue

5. Lab: Configuring and Troubleshooting DirectAccess

6. Prepare the DirectAccess Implementation

7. Configuring and Verifying Client-Side Settings for DirectAccess

Troubleshooting Resource Access within a Domain

1. Troubleshooting File Permissions Issues

2. Recovering Files Encrypted by EFS

3. Troubleshooting Printer Access Issues

4. Lab: Troubleshooting File Access Issues

5. Resolving a File Access Issue

6. Lab: Troubleshooting Access to Encrypted Files

7. Encrypting and Recovering Access to Encrypted Files

8. Lab: Troubleshooting Printer Issues

9. Resolving a Printer Access Issue

Troubleshooting Resource Access for Clients That Are Not Domain Members

1. Configuring and Troubleshooting Device Registration

2. Configuring and Troubleshooting Work Folders

3. Configuring and Troubleshooting OneDrive Access

4. Lab: Troubleshooting Resource Access for Clients That Are Not Domain Members

5. Troubleshooting Device Registration

6. Troubleshooting Work Folders

7. Troubleshooting OneDrive for Business

Troubleshooting Applications

1. Troubleshooting Desktop App Installation Issues

2. Troubleshooting Desktop Apps

3. Managing Windows Store Apps

4. Troubleshooting Access to Company Web Applications

5. Lab: Troubleshooting Desktop Apps

6. Troubleshooting AppLocker Policy Application

7. Troubleshooting Application Compatibility Issues

8. Lab Troubleshooting Access to Company Web Applications

9. Troubleshooting Internet Explorer Issues

10. Troubleshooting Microsoft Edge Issues

Maintaining Windows 10

1. Managing and Troubleshooting Windows Activation

2. Monitoring and Troubleshooting Computer Performance

3. Applying Applications and Windows Updates


4. Lab: Monitoring and Troubleshooting Performance

5. Resolve a Performance-Related Issue

6. Resolve a CPU-Related Performance Issue

7. Resolve a Disk-Related Performance Issue

Recovering Data and Operating System

1. File Recovery in Windows 10

2. Recovering an Operating System

3. Lab : Recovering Data

4. Resolving Issues with Previous Versions

5. Lab : Provisioning Computer to Comply with Company Standards

6. Provision Computer to Comply with Company Standards

Learning Activities Based on Thiagi 4 Door Model

1. Library

A module for each segment created with various links and supplemental materials for supporting

and troubleshooting Windows 10 resources.

a. Books

o Bundle: Microsoft Specialist Guide to Microsoft Windows 10 (Exam 70-697,

Configuring Windows Devices) + MindTap® Networking, 1 term (6 months) Printed

Access Card for Wright/Plesniarski's Microsoft Specialist Guide to Microsoft Windows

10 (Exam 70-697, Configuring Windows Devices) - ISBN: 978-1-337-36665-6

a. Streaming Videos

b. PowerPoint Slides Created with Camtasia Studio

2. Playground

• Digital learning labs, scenarios, and activities created with Articulate Storyline/Adobe

Captivate or any other game/scenario-based elearning platform

• Digital learning labs, scenarios, and activities provided by Microsoft Learning Labs

• Microsoft Windows 10 70-697: Configuring Windows Devices - CBT Nuggets provides

students with hands-on virtual labs. In turn, labs can be used in Cafe for discussions.

https://www.cbtnuggets.com/it-training/microsoft-windows-10-70-697-configuring-windows-

devices1

3. Cafe

Discussion boards, blogs, and wikis for students to collaborate, reflect, and share ideas based on

lessons and scenarios. Students will use discussion boards to discuss CBT Nuggets exercises

with peers and instructor.

4. Evaluation Center

https://www.cbtnuggets.com/it-training/microsoft-windows-10-70-697-configuring-windows-devices1

https://www.cbtnuggets.com/it-training/microsoft-windows-10-70-697-configuring-windows-devices1


Formative, Summative, and work-integrated assessments given throughout course modules to

test students’ knowledge of existing course content.

Resources

• 70-697 - Supporting and Troubleshooting Windows 10 (M10982)

http://www.netcomlearning.com/courses/10982/10982-Supporting-and-Troubleshooting-Windows-

10-training.html

• 70-698 - Implementing and Managing Windows 10 (M206971-1)

http://www.netcomlearning.com/courses/20698/20698-Installing-and-Configuring-Windows-10-

training.html

http://www.netcomlearning.com/courses/10982/10982-Supporting-and-Troubleshooting-Windows-10-training.html

http://www.netcomlearning.com/courses/10982/10982-Supporting-and-Troubleshooting-Windows-10-training.html

http://www.netcomlearning.com/courses/20698/20698-Installing-and-Configuring-Windows-10-training.html

http://www.netcomlearning.com/courses/20698/20698-Installing-and-Configuring-Windows-10-training.html

2017 icatt course catalogicatt.net/website/wp-content/uploads/2017/07/icatt... · icatt trending...

Documents