Learn how to supercharge LLMs with real-time, domain-specific knowledge using vector search and embeddings. You’ll build scalable RAG pipelines with LangChain, Weaviate, and OpenAI — and understand how to tune them for latency, relevance, and cost.

Go beyond chatbots. You’ll architect multi-step agents that reason, plan, and act — using frameworks like LangGraph and CrewAI. Learn how to design toolchains, memory, and recursive workflows that mimic human-like decision-making.

Master the art and science of prompt design, from few-shot templates to structured function calls. You’ll learn how to invoke tools, parse responses, and orchestrate multi-modal workflows with precision.

Discover how to persist and evolve context across sessions, tasks, and personas. You’ll implement short-term and long-term memory strategies using vector stores, Redis, and custom memory graphs — unlocking continuity and personalization.

Get hands-on with scalable deployment patterns using serverless functions, streaming APIs, and GPU-backed inference. You’ll explore OpenAI, Anthropic, Hugging Face, and local models — with cost-aware, latency-optimized setups.

Explore the critical aspects of security, ethics, and governance in AI deployment. Understand the implications of AI technologies and how to navigate the challenges they present.

Why re-create the wheel. Master the different AI Services available from Azure, Google and AWS to accelerate your development process and leverage existing solutions.

We will be working in Python but you won't finish the bootcamp until we've recreated all projects in your language of choice. You'll also have the opportunity to see it being done in other popular languages like Typescript, Javascript, C# / Dot Net and Java