Company knowledge assistant
Built end to end, reviewed by a mentor and added to your portfolio.
Build with LLMs: prompting, retrieval-augmented generation, fine-tuning basics and AI agents that use tools.
Module by module.
Tokens, transformers, context windows and model choice.
Patterns, structured output and prompt evaluation.
Chunking, vector databases and semantic search.
Retrieval pipelines, citations and answer quality.
Tool use, planning and multi-step workflows.
APIs, cost control, safety and monitoring.
Built end to end, reviewed by a mentor and added to your portfolio.
Built end to end, reviewed by a mentor and added to your portfolio.
Built end to end, reviewed by a mentor and added to your portfolio.
Our flagship path: Python, machine learning, deep learning, LLMs and deployment, finished with a portfolio of real AI products.
Explore course →Go from data to deployed model: classic machine learning, then neural networks for vision and language.
Explore course →A friendly start for complete beginners: Python, data handling and your first machine learning model.
Explore course →Ask about the next batch, timings and fees. Our team will guide you.