Training & Placement
Engineer real-world AI products with Python
From Python fundamentals to production AI agents — build LLM apps, RAG systems, and ML pipelines that ship.
Enroll nowDuration
16 weeks
Format
Live online + recorded sessions
Placement
100% placement assistance
Curriculum
What you'll learn
Project-based modules taught by working engineers.
01
Python Foundations
- Core syntax & idioms
- Data structures and OOP
02
Data & Numerical Stack
- NumPy, Pandas, visualization
- Cleaning and feature engineering
03
Machine Learning
- Supervised & unsupervised models
- Evaluation and tuning
04
Deep Learning
- Neural nets with PyTorch
- Transfer learning basics
05
LLMs & Agents
- Prompting, RAG, function calling
- Building agentic workflows
06
Production AI Engineering
- FastAPI services & vector DBs
- Observability and cost control
07
Capstone Project
- Ship an AI product end-to-end
- Demo day with industry mentors
Outcomes
What you'll be able to do
Write clean, production-grade Python
Train, evaluate, and deploy ML models
Build LLM-powered apps with RAG and tools
Ship AI services on FastAPI with vector storage
Land roles as AI Engineer or ML Engineer
Stack
Tools & technologies
PythonPyTorchFastAPILangChainPineconeDocker
Every cohort includes 1:1 mentorship, code reviews on capstone projects, and a portfolio review with our placement team.
Your seat is waiting.
Cohorts are intentionally small. Reach out to confirm the next batch start date and reserve your spot.
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