Agentic AI & Python Engineering
Python engineering plus the LLM stack that companies are actually hiring for: retrieval, tool use, evaluation and deployment. Every module ends with a working agent you can demo in an interview or sell to a client.
- 18
- Batch size cap
- 4
- Agents shipped
- ₹850/hr
- Avg freelance rate
What you will actually build
5 modules, in this order. Each one ends with something working that you keep.
- 01
Python for engineers
- Types, functions, modules
- Async and concurrency
- FastAPI services
- Testing with pytest
- 02
Working with LLMs
- Prompting and structured output
- Tool/function calling
- Context windows and cost control
- Streaming responses
- 03
Retrieval
- Embeddings and vector stores
- Chunking strategies
- Hybrid search and reranking
- Grounding and citations
- 04
Agents in production
- Planning loops and guardrails
- Evaluation harnesses
- Observability and tracing
- Deploying on a serverless platform
- 05
Capstone
- Pick a real business workflow
- Ship an agent end to end
- Cost and latency review
- Demo day
Students from this course
“The agent I built for the capstone reads GST invoices and files them. My employer hired me because of that project, not my marks.”
Aishwarya Deshmukh
Nextbit AI · ₹7.2 LPA
Next step
Sit in on a Agentic AI & Python Engineering class first.
Demo classes are free and you attend a real session, not a sales pitch. Tell us your branch and we will slot you into the next one.
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