Generative AI Masterclass: From Fundamentals to Building Real AI Apps
For developers, students, and working professionals who already know basic Python. About 35 to 40 hours, including the projects.
Launch price
₹499₹1,499 regular
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- DURATION
- 8 weeks
- LEVEL
- Basic Python
- COMMITMENT
- 35–40 hours
What you will learn
Six or more projects
A prompt library, a chatbot, a document chat app, an agent, a local or fine-tuned model, and the capstone.
A portfolio capstone
A full-stack RAG or agent product with a frontend, a backend, and a deployed URL.
RAG, agents, and deployment
The same shape of work teams are shipping now: retrieval, tool use, evaluation, and a live URL.
A certificate
Issued after you finish the capstone.
Course chapters
- Foundations of Generative AIWeek 1
- What generative AI isWeek 1
- How LLMs workWeek 1
- The model landscapeWeek 1
- Environment setupWeek 1
- First API call and a simple chatbotWeek 1
- Practicals indexWeek 1
Timeline
WEEK 1
Foundations
What generative AI is, how LLMs work, the model landscape, and a first API chatbot.
WEEK 2
Prompt engineering
Zero-shot, few-shot, chain-of-thought, structured output, and a prompt library project.
WEEK 3
Chat applications
Streaming, history, cost, retries, and a multi-turn chatbot with a custom persona.
WEEKS 4–5
RAG
Embeddings, chunking, a vector database, and a chat over PDFs or a website.
WEEK 6
Agents
Tool calling, the ReAct pattern, and an agent that searches, calls an API, and summarizes.
WEEK 7
Open-source models
When to fine-tune, LoRA and QLoRA, and a local model with Ollama or a small fine-tune.
WEEK 8
Capstone
Deploy, evaluate, and ship a RAG or agent product. The certificate follows the capstone.
Launch price
₹499₹1,499
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