Capstone Projects: Applying Your AI Knowledge
·Generative AI

Capstone Projects: Applying Your AI Knowledge

From Chatbot to RAG. Three hands-on projects to prove your mastery of Generative AI fundamentals.

Capstone Projects: The Builder's Challenge

You have the theory. You have the tools. Now, it's time to build. These three projects are designed to simulate real-world tasks that AI Engineers and Product Managers handle every day.


Project 1: The Expert Specialist (Persona & Constraint)

Goal: Build a chatbot that is a world-class expert on one specific topic (e.g., Chess, Vegan Cooking, or 1990s Hip Hop).

Requirements:

  1. System Prompt: Define a strong, unique persona (tone, background, knowledge).
  2. Constraints: The bot must refuse to talk about anything else. If you ask about "Politics," it should say: "I only care about [Your Topic], let's get back to it!"
  3. Output: It must return its final answer inside a Markdown container for better presentation.

Project 2: Talk to Your Data (RAG Simulation)

Goal: Use an AI to answer questions based on a large piece of text that wasn't in its training data (e.g., a the latest company news or a scientific paper).

Requirements:

  1. The Source: Copy a long article (at least 2,000 words) into the chat.
  2. The Prompt: "Analyze the provided text. Answer the user's question ONLY using the facts in the text. If the answer is not there, say you don't know."
  3. The Verification: Ask a question that isn't in the text but is general knowledge. If the AI answers it, you have FAILED (it's called "Bleed"). Refine the prompt until it refuses.

Project 3: The Autonomous Workflow (Agentic)

Goal: Design a 3-step automation where the AI handles the handoff.

Scenario: You are a content marketer.

  1. Step 1: Tell the AI to research a specific niche (e.g., "Eco-friendly furniture").
  2. Step 2: Tell it to take that research and write 3 variations of an Instagram caption.
  3. Step 3: Tell it to format those 3 variations into a JSON object for easy posting.

Architectural Blueprint for your Projects

graph TD
    Project[Your Project Idea] --> P[Prompt Engineering: System & Context]
    P --> M[Model Execution]
    M --> O[Output: JSON / Table / Text]
    O --> V[Human Verification: Is it correct?]

Final Congratulations! 🚀

You have completed the Introduction to Generative AI. You now possess the literacy and the hands-on skills to navigate the most significant technological shift of our time.

What's Next?

  • For Coders: Move on to Course 4: LangChain (Python) – Complete Step-by-Step.
  • For Business Leaders: Move on to Course 3: Agentic AI Development (Advanced).

The future doesn't belong to the AI; it belongs to the humans who know what to ask of it.

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