Generative AI Course with Real‑World Projects
Master prompt engineering, fine‑tune LLMs, build AI agents, and deploy solutions—with live sessions, projects, and certification prep.

Why Choose This Generative AI Course
Live training, hands-on AI projects, and mentor support—all designed for future-ready AI professionals.
Live, Interactive AI Labs
Coding sessions with LLMs, prompt tuning, and real-time feedback.
Hands-on AI Projects
Build and deploy AI agents, vector search, and fine-tuned models.
24×7 Mentor Support
Get guidance and review on your AI workflows anytime.
Career & Certification Prep
Mock tests, portfolio projects, and AI certification guidance.
Peer Forum
Collaborate and share progress with fellow learners and mentors.
Lifetime Recordings
Access to recordings, templates, and notes even after the course ends.
Build real-world generative AI solutions—from prompt engineering and model tuning to vector-driven AI agents and deployment.
What You’ll Learn
- Prompt Engineering: Design reliable prompts for different AI tasks.
- Model Fine-Tuning: Customize language models to domain-specific needs.
- AI Builder Tools: Use APIs like OpenAI, Hugging Face, and vector DBs.
- Deployment & Ethics: Create scalable AI agents responsibly.
- Basic programming skills (Python preferred).
- Helpful: familiarity with cloud platforms or ML concepts.
- No prior AI experience needed—course designed for beginners to advanced.
Week | Focus Area | Key Deliverables | Tools & Frameworks | Mini-Project / Assignment |
---|---|---|---|---|
Week 1 | Foundations of LLMs & Generative AI | Local dev setup, First OpenAI API call | Python, OpenAI API, GitHub | “Hello AI” – generate creative text responses |
Week 2 | AI Agents & Agentic Workflows | Simple LangChain chain | LangChain, OpenAI API | Decision-making agent answering domain queries |
Week 3 | Building Basic Chat Applications | Chatbot with short-term memory | LangChain, Qdrant Cloud / PGVector | Interactive FAQ chatbot |
Week 4 | Chat Over Large Documents | Chatbot over a single PDF | Qdrant DB, Pinecone, LangChain | “Ask my PDF” bot for eBook |
Week 5 | Retrieval-Augmented Generation (RAG) | Working RAG pipeline | LangChain, Vector Stores | RAG-powered news summariser |
Week 6 | Memory-Aware AI & Graph DB | AI with persistent long-term memory | Neo4j, LangChain | Entity extraction & graph visualisation |
Week 7 | Multi-Modal LLM Applications | Simple multi-modal app | OpenAI Vision API, LangChain | Image-based Q&A bot |
Week 8 | Security, Guardrails & MCP | Guardrails pipeline | Guardrails AI, LangChain, MCP Server | Sensitive data redaction tool |
Week 9 | LangGraph & Checkpointing | LangGraph workflow with retries | LangGraph, LangChain | Multi-agent research report generator |
Week 10 | Human-in-the-Loop & Tool Binding | AI with human approval steps | LangChain Tools, API integrations | Email drafting AI with confirmation |
Week 11 | Model Fine-Tuning & LLM-as-Judge | Fine-tuned small model | OpenAI fine-tuning, Perplexity API | Fine-tuned resume scoring model |
Week 12 | Deployment & Final Projects | Fully deployed AI app | AWS, Docker, Langfuse | Capstone project presentation |
- Self-Paced: Recorded sessions + lifetime access.
- Instructor-Led: Live classes & projects.
- 1:1 Mentorship: Personalized feedback and projects.
Goal: Prepare with mock tests, interview prep, and AI certification support.
- 24/7 Mentor Access
- Peer Community Forum
- Capstone AI Projects
- Lifetime Recording Access
What Learners Say
Real feedback from Generative AI course graduates.
“Building the AI agent project helped me land my first AI internship!”
“Prompt engineering labs gave me confidence to prototype quickly.”
“Mentor support was exceptional—I completed an AI assistant project step-by-step.”
Articles & Resources
Boost your AI skills with curated content.
Prompt Engineering Best Practices
Get better outputs with curated prompt patterns and techniques.
Start LearningReady to launch your Generative AI journey?
Enroll now in our next live cohort—limited seats available.
Enroll Now