AI-FUNDACTA.AE1

Artificial Intelligence Fundamentals: Concepts, Technologies, and Applications

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

41 Interactive Lessons and 203 topics mapped to the official exam objectives

Self-paced · 1 year access

41Interactive Lessons

203Topics

01 / Skills you'll get

What you will be able to do

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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.

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.

Course Highlights

41 Structured Lessons Comprehensive coverage of core course objectives
1 Year Full Access Self-paced learning accessible anytime on all devices

02 / Lessons & labs

See exactly what you will learn and practice

Download outline (PDF)

Lessons

41 Interactive Lessons · 203 topics

01 Introduction 3 topics

About This Course
False Assumptions
Icons Used in This Course

02 Delving into What AI Means 5 topics

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

03 Defining Data’s Role in AI 6 topics

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

04 Considering the Use of Algorithms 2 topics

Understanding the Role of Algorithms
Discovering the Learning Machine

05 Pioneering Specialized Hardware 8 topics

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

06 Parsing Machine Learning and Deep Learning 5 topics

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

07 Upholding Responsible AI Standards in GenAI Use 3 topics

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

08 Finding Job Security in an AI World 5 topics

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

09 Mapping the Lay of the Generative AI Land 7 topics

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 6 topics

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 3 topics

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 6 topics

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 3 topics

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

14 Learning Advanced Prompting 5 topics

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 3 topics

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

16 Crunching the Numbers with Copilot 7 topics

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 6 topics

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 2 topics

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

19 Working with AI in a Roundup of Business Disciplines 8 topics

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 3 topics

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 4 topics

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 6 topics

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 5 topics

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 6 topics

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 5 topics

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 3 topics

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 4 topics

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

28 Using AI to Address Medical Needs 9 topics

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 8 topics

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 5 topics

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 3 topics

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

32 Retirement and Estate Planning 2 topics

Digging into Retirement Planning
Thinking about Estate Planning

33 How Coding Benefits from AI 5 topics

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

34 AI Coding Tools 3 topics

Navigating GitHub Copilot
Exploring Tabnine
Reviewing Replit

35 Coding with Chatbots 5 topics

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 4 topics

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 8 topics

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 6 topics

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 9 topics

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 3 topics

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

41 Expanding Copilot’s Capabilities with Plugins 4 topics

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

03 / FAQs

Questions before you start

What are the core differences between Machine Learning, Deep Learning, and Generative AI covered in this course?

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.

How does this course address the practical application of AI tools like ChatGPT and Microsoft Copilot?

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.

What are the limitations and ethical considerations of AI, particularly Generative AI, that I should be aware of?

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.

Will this course help me understand how AI impacts job security and career development?

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.

Is prior coding experience required to take this Artificial Intelligence Fundamentals course?

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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1 year of full access
Certificate of completion

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