Apply your knowledge to build something amazing!
Duration: 3-4 weeks Points: 150 (Capstone Project) Prerequisites: Complete ALL Lessons 1-18 Difficulty: Expert
This is your capstone project for AI-2.5 - a culmination of everything you've learned. You'll design and build a complete AI agent ecosystem that integrates reinforcement learning, generative AI, multi-modal understanding, RLHF alignment, and ethical safeguards. The project is largely student-designed, allowing you to pursue your interests while demonstrating mastery of all course concepts.
Why This Matters: Modern AI systems are not single models but complex ecosystems. This project demonstrates your ability to architect, implement, and deploy production-ready AI systems.
What You'll Build:
By completing this capstone, you will:
Your AI Agent Ecosystem must:
Integration: LLMs + RLHF + Multi-Modal + RL
Capabilities:
Tools: arXiv API, Google Scholar, PDF parsing, citation graphs
Integration: GANs + Diffusion + CLIP + Style Transfer
Capabilities:
Tools: Stable Diffusion, StyleGAN, image editing libraries
Integration: DQN/PPO + LLMs + Vision + Planning
Capabilities:
Tools: Game environments, planning algorithms, LLM for explanations
Integration: CLIP + LLMs + RLHF + Tool Use
Capabilities:
Tools: CLIP, Stable Diffusion, vector database, calendar/email APIs
Integration: VAE + Multi-Modal + Safety + RL
Capabilities:
Tools: Medical image datasets, knowledge graphs, safety validators
| Criterion | Points | Description |
|---|---|---|
| Integration Complexity | 30 | Quality of multi-technique integration |
| Innovation | 25 | Novelty and creativity of solution |
| Technical Implementation | 30 | Code quality, architecture, testing |
| Safety and Ethics | 20 | Safety mechanisms, ethical considerations |
| Documentation | 20 | Technical paper, README, demo video |
| Presentation | 25 | Clarity, completeness, engagement |
| Total | 150 |
Bonus Points (+15 each):
Day 1-3: Project Proposal
Day 4-5: Technical Design Document
Day 6-7: Setup and Prototyping
Deliverable: Technical design document + working prototype
Week 2: Core Features
Week 3: Safety and Polish
Deliverable: Feature-complete system
Day 22-24: Documentation
Day 25-27: Presentation Preparation
Day 28: Final Submission
Deliverable: Complete project package
Your system should include:
┌─────────────────────────────────────┐
│ User Interface │
│ (Gradio / Streamlit / Web) │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ Agent Orchestrator │
│ (ReAct Loop / Planning) │
└─────────────────────────────────────┘
↓ ↓ ↓
┌──────────┐ ┌──────────┐ ┌──────────┐
│ RL │ │ GenAI │ │Multi- │
│ Policy │ │ Models │ │Modal │
└──────────┘ └──────────┘ └──────────┘
↓ ↓ ↓
┌─────────────────────────────────────┐
│ Tool Integration Layer │
│ (APIs, Databases, External Tools) │
└─────────────────────────────────────┘
↓ ↓ ↓
┌──────────┐ ┌──────────┐ ┌──────────┐
│ Safety │ │ Logging │ │ Monitor │
│ Filters │ │ │ │ │
└──────────┘ └──────────┘ └──────────┘
Integration Depth (30 points)
Code Quality (20 points)
Safety and Ethics (20 points)
Performance (10 points)
Technical Paper (30 points)
Demo Video (20 points)
Presentation (20 points)
Code Repository (GitHub)
Technical Paper (10-15 pages)
Demo Video (10 minutes)
Presentation Slides (20-30 slides)
Personal Website Section:
LinkedIn Post Template:
"Completed my AI-2.5 capstone project: [Project Name]. Built a complete AI agent ecosystem integrating [Technique 1], [Technique 2], and [Technique 3] to solve [Problem]. Key innovations include [Innovation 1] and [Innovation 2]. [Metric] achieved. Check out the demo: [Link]"
This is your masterpiece - the culmination of 18 lessons and 6 projects. Take pride in your work. Build something you're excited to show employers, researchers, and the world.
You've mastered:
Now build the future.
Congratulations on completing AI-2.5 Modern Artificial Intelligence! 🎓🚀
Next Course: AI-3 - Application of Generative AI ->