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Artificial Intelligence Fundamentals: Concepts, Technologies, and Applications

Master AI fundamentals, generative AI, and practical applications with Copilot and ChatGPT for real-world impact.

(AI-FUNDA.AE1) / ISBN : 979-8-90059-139-1
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About This Course

This Artificial Intelligence Fundamentals course training provides a brutally honest look at AI concepts, from defining data's role to understanding algorithms and specialized hardware. You'll decode machine learning, deep learning, and generative AI models, including their inherent limitations and ethical considerations. The curriculum dives deep into practical applications, mastering prompt engineering for ChatGPT and leveraging Microsoft Copilot across Excel, PowerPoint, and Teams. We'll explore AI's impact on business, coding, and daily life, preparing you to navigate an AI-driven world. Be warned: AI isn't a magic bullet; understanding its constraints is crucial for effective implementation.

Skills You’ll Get

  • Architecting AI Solutions with Foundational Understanding: Gain a solid grasp of AI's core concepts, including data's role, algorithmic principles, and hardware considerations, enabling you to identify appropriate AI applications and their inherent trade-offs in performance versus cost.
  • Implementing Generative AI and Prompt Engineering Strategies: Develop expertise in utilizing generative AI models like ChatGPT and Copilot, mastering advanced prompt engineering techniques to achieve precise outputs while recognizing the common failure points and "hallucinations" that require human oversight.
  • Integrating AI Tools for Business and Productivity: Learn to effectively deploy AI tools across various business functions, from automating data analysis in Excel with Copilot to enhancing marketing, HR, and content creation, understanding that integration complexity scales with organizational size.
  • Navigating Responsible AI and Ethical Deployment: Understand the critical importance of responsible AI standards, journalism ethics for GenAI content, and identifying tasks AI cannot replace, preparing you to lead AI adoption while mitigating risks and acknowledging the ongoing challenge of bias in AI systems.
Download Course Outline

1

Introduction

  • About This Course
  • Falsh Assumptions
  • Icons Used in This Course
2

Delving into What AI Means

  • Defining the Term AI
  • Understanding the History of AI
  • Considering AI Uses
  • Avoiding AI Hype and Overestimation
  • Connecting AI to the Underlying Computer
3

Defining Data’s Role in AI

  • Finding Data Ubiquitous in This Age
  • Using Data Successfully
  • Manicuring the Data
  • Considering the Five Mistruths in Data
  • Defining the Limits of Data Acquisition
  • Considering Data Security Issues
4

Considering the Use of Algorithms

  • Understanding the Role of Algorithms
  • Discovering the Learning Machine
5

Pioneering Specialized Hardware

  • Relying on Standard Hardware
  • Using GPUs
  • Working with Deep Learning Processors (DLPs)
  • Creating a Specialized Processing Environment
  • Increasing Hardware Capabilities
  • Adding Specialized Sensors
  • Integrating AI with Advanced Sensor Technology
  • Devising Methods to Interact with the Environment
6

Parsing Machine Learning and Deep Learning

  • Decoding Machine and Deep Learning
  • Demystifying Natural-Language Processing
  • Understanding Transformers
  • Illuminating Generative AI Models
  • Recognizing AI’s Limitations
7

Upholding Responsible AI Standards in GenAI Use

  • Achieving Originality and Excellence in GenAI-Generated Content
  • Applying Journalism Ethics to GenAI-Generated Content
  • Joining the Responsible AI Movement
8

Finding Job Security in an AI World

  • Identifying Tasks That AI Can’t Replace
  • Upskilling for AI-Proof Jobs
  • Translating Your Current Skills into AI-Proof Roles
  • Navigating Career Transitions
  • Becoming an Early Adopter
9

Mapping the Lay of the Generative AI Land

  • So, What Exactly Is Generative AI?
  • Unveiling the BIG Secret to Working Successfully with GenAI
  • Understanding the Infamous Finger Problem and Other GenAI Quirks
  • Figuring Out How to Work with GenAI — It’s All About Your Prompts
  • Discovering the Differences in GenAI Models and Options
  • Checking Out Practical Uses of GenAI
  • Separating Gen AI Fact from Fiction
10

Introducing the Art of Prompt Engineering

  • First Things First: What Is a Prompt?
  • Revealing the Secret Behind Successful Prompting
  • Crafting Effective Prompts for Diverse AI Applications
  • Tips and Tricks for Optimizing Your Prompts
  • Using Prompts to Provide Supplemental Data for the Model
  • Avoiding Common Prompting Pitfalls
11

Navigating the Evolving Landscape of GenAI

  • Identifying Key Players and Evaluating GenAI Providers
  • Getting GenAI that Plays Nice with Other Technologies
  • Keeping Up with the Pace of GenAI Advancements
12

Introducing ChatGPT

  • Comparing Different Account Versions of ChatGPT
  • Setting Up an Individual Account
  • Touring the User Interface
  • Selecting a GPT Model on the ChatGPT UI
  • Considering GPT Minis in the GPT Store on the ChatGPT UI
  • Rendering ChatGPT Outputs to Final Forms
13

Getting Started with Microsoft Copilot

  • Defining Copilot
  • Signing Up for Copilot
  • Taking Copilot for a Test Flight
14

Learning Advanced Prompting

  • Starting at the End: Defining Desired Outputs before Prompting
  • Managing Data for Targeted Impact on Outputs
  • Adding Data to Prompts
  • Changing the Model’s Temperature
  • Changing the Model’s Weights
15

Applying GenAI in Practical Scenarios

  • GenAI as Writing Assistant
  • Getting a Visual Assist from GenAI
  • Problem-Solving with AI in Creative Projects
16

Crunching the Numbers with Copilot

  • Launching Copilot in Excel
  • Working with Data
  • Preparing the Data
  • Automating Data Analysis
  • Creating Formulas with Copilot's Assistance
  • Visualizing Data with Copilot
  • Considering Copilot's Limitations in Excel
17

Presenting with Copilot

  • Interacting with Copilot in PowerPoint
  • Designing Slides with Designer
  • Redesigning Slides with Copilot
  • Sticking to the Built-in Prompts
  • Organizing a Presentation
  • Practicing Your Presentation with Copilot Feedback
18

Meeting and Collaborating with Copilot

  • Using Copilot in Microsoft Teams
  • Understanding the Limitations of Copilot in Teams
19

Working with AI in a Roundup of Business Disciplines

  • Using GenAI for Marketing
  • Retrieving Smart Answers for HR
  • Harnessing GenAI in Legal
  • Storytelling in Journalism
  • Consulting GenAI in Healthcare
  • Cashing In on GenAI in Finance
  • Using GenAI in IT Operations
  • Examining New Businesses Based on GenAI
20

Managing AI Adoption and Change in Your Organization

  • Leading AI Adoption and Change Management Efforts
  • Understanding Different Models for Change and Transition
  • Overcoming Resistance to AI Adoption
21

Using AI for Ideation and Planning

  • Engaging AI to Ideate on Behalf of Human Beings
  • Deciding Whether AI Hallucinations Are a Feature or a Bug
  • Following Practical Steps for Idea Generation with AI
  • Deciding on AI Ideation Tools to Use
22

Managing and Writing Emails with AI

  • Using AI as Your Assistant for Writing Emails
  • Generating Precise Prompts
  • Emailing with Copilot
  • Summarizing with Copilot
  • Composing Emails with Copilot
  • Using GenAI for Email with Discernment
23

Developing Creative Assets

  • Trying Out an AI-Generated Where’s Waldo? Illustration
  • Exploring an Approach for Creating Visual Assets with AI
  • Enhancing Existing Creative Assets
  • Fine-Tuning Creativity with AI Tools and Techniques
  • Choosing AI Tools for Creating Visual Assets
24

Producing Long-Form Content

  • Writing Academic Papers with GenAI Assistance
  • Developing White Papers and Reports Using Generative AI
  • Crafting Research Designs and Outlines with GenAI
  • Integrating Citations and References
  • Producing Long-Form Articles with GenAI
  • Writing Books with GenAI
25

Search Engine Optimization (SEO) in the AI Era

  • Describing Search Generative Experiences (SGEs)
  • Strategies for SEO Success in the AI Era
  • Enhancing the User Experience with AI
  • Maximizing Your SEO Efforts
  • Knowing the AI Tools to Use with SEO
26

Fine-Tuning Content with Localization and Translation

  • Exploiting AI for Localization and Translation
  • Adopting Core Strategies for Localization
  • Examining Real-Time Localization and Translation Solutions
27

Relying on AI to Improve Human Interaction

  • Developing New Ways to Communicate
  • Exchanging Ideas
  • Using Multimedia
  • Embellishing Human Sensory Perception
28

Using AI to Address Medical Needs

  • Implementing Portable Patient Monitoring
  • Making Humans More Capable
  • Addressing Special Needs
  • Completing Analysis in New Ways
  • Relying on Telepresence
  • Devising New Surgical Techniques
  • Performing Tasks Using Automation
  • Combining Robots and Medical Professionals
  • Considering Disruptions That AI Causes for Medical Professionals
29

Leveraging AI in Education

  • Using AI Is Here to Stay
  • Changing the Structure of Education
  • Flipping the Teaching Model
  • Leveraging GenAI to Aid Overworked Educators
  • Changing How Subjects Are Taught
  • Supporting Special Education Needs
  • Delivering Data-Driven Insights for Educators
  • Banning GenAI Stifles Education
30

Using GenAI in the Real World

  • Dying Keywords
  • Moving from Information Search to Knowledge Assistants
  • Living with Misinformation and Manipulation
  • Narrowing Options
  • Your Brain on GenAI
31

Financial Planning and Other Money Matters

  • Walking through the Stages of Financial Planning
  • Getting a Handle on Budgeting
  • Spotlighting College Expenses
32

Retirement and Estate Planning

  • Digging into Retirement Planning
  • Thinking about Estate Planning
33

How Coding Benefits from AI

  • Banishing Boring Tasks
  • Helping with Syntax
  • Linting with AI
  • Using AI as a Tutor
  • Pairing Up with AI
34

AI Coding Tools

  • Navigating GitHub Copilot
  • Exploring Tabnine
  • Reviewing Replit
35

Coding with Chatbots

  • Improving Your Prompts
  • Chatting with Github Copilot
  • Chatting with ChatGPT
  • Diving into the OpenAI Platform
  • Developing a Chatbot with OpenAI
36

Progressing from Plan to Prototype

  • Understanding Project Requirements
  • Generating Code from an SRS
  • Blending Manually Written and AI-Generated Code
  • Tips and Tricks for Code Generation
37

Personalizing the Customer Journey by Using AI

  • Discovering the Customer Journey
  • Introducing AI Personalization
  • Benefitting from AI Tools for the Customer Journey
  • Determining How Customers Feel
  • Providing What Customers Want
  • Predicting What Customers Will Do
  • Delivering Information Customers Need
  • Automating the Delivery of Content
38

Boosting Online Business Growth with AI

  • Outsmarting Your Competitors
  • Enhancing Brand Building
  • Maximizing Conversions
  • Scaling Paid Advertising ROI
  • Tracking Key Performance Indicators with AI
  • Innovating New Offers
39

Enhancing Customer Service with Conversational AI Chatbots

  • Finding Out about Conversational AI Chatbots
  • Benefitting from Conversational AI Chatbots for Customer Service
  • Constructing Conversational AI Chatbots
  • Measuring the Return on Investment of Conversational AI Chatbots
  • Integrating Conversational AI Chatbots into Existing Systems
  • Personalizing Customer Interactions
  • Using Chatbots with Human and AI Collaboration
  • Considering Best Practices
  • Reviewing Options for Creating Chatbots
40

Making Custom Copilots

  • Building Your Own Copilot Agent with Copilot Studio
  • Testing and Editing Your Agent
  • Publishing Your Agent
41

Expanding Copilot’s Capabilities with Plugins

  • Using Plugins Wisely
  • Creating a Copilot Plugin
  • Seeing Examples of Plugins
  • Considering the Future of Plugins

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This course meticulously decodes Machine Learning (ML) as a subset of AI focused on pattern recognition, Deep Learning (DL) as an advanced ML technique using neural networks, and Generative AI as a DL specialization for creating new content. We'll explore their distinct architectures, use cases, and inherent computational demands.

The course dedicates significant sections to hands-on application. You'll learn advanced prompt engineering for ChatGPT, integrate Copilot into Excel for data analysis, PowerPoint for presentations, and Teams for collaboration, understanding their operational nuances and current limitations.

We confront AI's limitations head-on, discussing "hallucinations," data bias, and the challenge of achieving true originality. The course emphasizes responsible AI standards, journalism ethics for GenAI content, and the ongoing movement to mitigate societal risks, acknowledging that AI is a tool, not a perfect solution.

Absolutely. A dedicated chapter focuses on identifying AI-proof tasks, upskilling for new roles, and translating existing skills into an AI-driven economy. We discuss navigating career transitions and becoming an early adopter, providing a realistic perspective on the evolving job market.

This training is structured around practical scenarios, from managing AI adoption in organizations to using GenAI for ideation, content creation, and enhancing customer service. We explore real-world constraints, failure points, and trade-offs, ensuring you grasp AI's utility and its operational complexities.

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