Advanced
16 weeks PythonAI / ML Engineering
A practitioner-focused AI/ML course covering the full stack from classical ML to production LLM systems, RAG pipelines, and autonomous agents.
₹14,999
Enroll now Curriculum
01
ML Foundations
- Linear & logistic regression
- Decision trees & random forests
- Cross-validation & regularisation
- scikit-learn workflows
02
Neural Networks
- Forward/back propagation
- Activation functions
- Optimisers (Adam, SGD)
- PyTorch from scratch
03
Computer Vision
- CNNs & transfer learning
- Object detection (YOLO)
- Image segmentation
- OpenCV basics
04
NLP & Transformers
- Tokenisation & embeddings
- Attention mechanism
- BERT / GPT architecture
- Fine-tuning with HuggingFace
05
LLM Engineering
- Prompt engineering
- OpenAI / Anthropic APIs
- Function calling / tool use
- Structured output parsing
06
RAG Systems
- Vector databases (Pinecone, pgvector)
- Chunking strategies
- Retrieval pipelines
- Eval frameworks
07
Agents & Orchestration
- LangChain / LangGraph
- Tool-use agents
- Multi-agent systems
- Memory architectures
08
MLOps & Production
- Model serving (FastAPI + Docker)
- MLflow experiment tracking
- Monitoring model drift
- Cost-efficient inference
What you'll build
Build a RAG-powered codebase Q&A agent over a private GitHub repo
Build a production image classification API with monitoring dashboard