Lesson Overview
After understanding how AI works in Lessons 1 and 2, it is time to get your hands dirty. This lesson transitions from theory to practice. You will create accounts on the major AI platforms, explore their interfaces, understand their different capabilities, and discover which tools work best for different tasks.
The goal is not to become an expert user of any single platform. Instead, you are building practical intuition about how AI tools actually work in real-world use. You will see why the same prompt produces different results on different platforms. You will discover which platforms have the best interfaces, which ones protect your privacy best, and which ones are free versus paid. Most importantly, you will develop the judgment to choose the right tool for the right task.
This is an experiential lesson. Reading about ChatGPT is useful. Actually opening ChatGPT and having a conversation with it is transformative. Seeing how Claude handles a complex prompt differently than Copilot teaches you more about capabilities and limitations than any lecture could. Your brain learns by doing, and this lesson is designed around that principle.
Learning Objectives
By the end of this lesson, you will be able to:
- Set up accounts and navigate the major AI platforms (ChatGPT, Claude, Copilot, Gemini)
- Understand the differences between free and paid tiers and decide which is right for you
- Navigate privacy settings and understand each platform's data usage policies
- Explain core concepts like context windows, temperature, and system prompts
- Identify how different platforms handle the same task differently
- Use AI tools effectively for common practical tasks: writing, summarizing, analyzing, brainstorming, researching
- Recognize the capabilities and limitations of current AI tools through direct experience
- Choose the most appropriate tool for a specific task based on your needs
The Three Chapters of This Lesson
Chapter 3.1: AI Tool Orientation 45 minutes
A guided walkthrough of ChatGPT, Claude, Copilot, and Gemini. You will learn the account setup process for each platform, how their interfaces differ, what privacy and data policies mean, how free and paid tiers compare, and which tool is best to start with. This chapter answers the practical questions that prevent people from getting started.
Chapter 3.2: Understanding How AI Tools Work 45 minutes
Dive deeper into the mechanics that make AI tools behave the way they do. Learn what context windows are and why they matter. Understand temperature settings and why they change how creative or conservative an AI is. Discover how conversation history impacts results, what system prompts do, how to branch conversations, and how to upload and work with files. This chapter explains the "why" behind the behavior you observe.
Chapter 3.3: Hands-On Tool Exploration 40 minutes
Get to work with guided exercises that reveal AI capabilities and limitations through direct experience. You will draft professional emails, summarize complex documents, perform data analysis, brainstorm creative solutions, and conduct research. Each exercise comes with specific prompts to try, observations to document, and patterns to notice. By the end, you will have hands-on experience with the capabilities that matter most in professional settings.
How to Get the Most From This Lesson
This lesson is designed for active learning. Passively reading is not enough. Here is the approach that will serve you best:
- Have accounts ready. Before starting Chapter 3.1, create accounts on at least two AI platforms. You do not need paid subscriptions yet. Free accounts will give you everything you need for this lesson.
- Follow along in real time. As you read each chapter, open the platform being discussed. Navigate to where the chapter tells you to look. See the interface yourself rather than just reading about it. Your brain learns through direct observation.
- Try every exercise. In Chapter 3.3, you will see specific prompts to test. Paste them into your AI tools exactly as written. See what each tool produces. Then try variations and watch how the outputs change. This experimentation is where the real learning happens.
- Document observations. Keep notes of surprising results, differences between platforms, or moments where you thought "I did not know it could do that." These observations become valuable reference material later.
- Take your time. This lesson is paced at 2.5 hours, but you may want to spend longer. The exercises are designed to be explored, not rushed. If you get interested in a particular capability, spend extra time with it. This is not a test-taking situation where speed matters.
- Return to exercises later. After finishing this lesson, come back to Chapter 3.3 in a week or two and repeat the exercises. You will notice new details and develop deeper understanding through repeated exposure.
Do not just read about AI platforms. Interact with them. Ask questions. Try experiments. The goal is to develop an intuitive feel for what AI can and cannot do. This intuition comes from direct experience, not from reading alone. Plan to spend at least an hour with actual AI tools while working through this lesson.
Prerequisites
You should have completed Lessons 1 and 2 before starting this lesson, as this lesson builds on concepts introduced there. Specifically, you should understand:
- What AI is and is not (from Lesson 1.1)
- How machine learning works (from Lesson 1.2)
- The basics of generative AI and language models (from Lesson 1.3)
- The capabilities and limitations of current AI systems (from Lesson 1.4)
- The fundamentals of prompt engineering (from Lesson 2.1)
Time Required
This lesson is designed to take approximately 2.5 hours to complete, broken down as follows:
- Chapter 3.1 (AI Tool Orientation): 45 minutes
- Chapter 3.2 (Understanding How Tools Work): 45 minutes
- Chapter 3.3 (Hands-On Exploration): 40 minutes
However, if you plan to thoroughly explore platforms and complete exercises, budget 3-4 hours. The time is well spent. Understanding which AI tool works best for which task is one of the most practical skills you can develop at this stage of your AI journey.
Key Takeaway
Lesson 3 bridges the gap between understanding AI in theory and using it in practice. You will gain hands-on experience with the major platforms, learn what differentiates them, and develop the intuition that comes from direct interaction. By the end, you will not just understand how AI works; you will have experienced it working on real tasks. This practical experience is invaluable and cannot be replicated by reading alone.