AI Engineering

A 2.5-month hands-on AI Engineering course that teaches you how to build intelligent AI agents and automate tasks efficiently, while also strengthening your core AI fundamentals. You’ll learn modern agent automation techniques such as RAG (Retrieval-Augmented Generation), ReAct agent frameworks, designing multi-step workflows, integrating tools/APIs, and building agentic systems that can retrieve information, reason, make decisions, and execute tasks. Along with this, you will also learn core AI engineering essentials including the basics of neural networks, embeddings and vector representations, transformer architecture fundamentals (self-attention, encoder/decoder concepts), and LLM essentials like tokenization, inference, prompting, and finetuning concepts. By the end, you’ll be capable of engineering real-world AI automation solutions and production-ready agent systems, with both a practical implementation skillset and a strong conceptual foundation of how modern LLMs work internally.