Python for AI Engineers – Advanced Practical Course

What you will learn

• ✓Understand Python architecture for building production-ready AI applications.
• ✓Create modular and maintainable AI project structures.
• ✓Use environment variables and configuration management securely.
• ✓Perform numerical computing using NumPy.
• ✓Understand PyTorch tensors, shapes, data types and GPU devices.
• ✓Integrate trained deep learning models for inference.
• ✓Understand model evaluation mode and inference optimization.
• ✓Connect Python applications with Large Language Model APIs.
• ✓Work with prompts, tokens, context windows and structured outputs.
• ✓Build data ingestion and document processing pipelines.
• ✓Extract, clean, normalize and chunk documents for AI applications.
• ✓Generate embeddings and integrate vector databases.
• ✓Implement semantic search and similarity-based retrieval.
• ✓Build Retrieval-Augmented Generation (RAG) pipelines using Python.
• ✓Understand AI agents, tool calling and workflow orchestration.
• ✓Develop Python applications using asynchronous programming and AsyncIO.
• ✓Build AI model APIs using FastAPI and Pydantic.
• ✓Implement unit testing, integration testing and end-to-end testing.
• ✓Evaluate ML models and LLM applications using appropriate metrics.
• ✓Implement logging, caching and performance monitoring.