Build your engineering foundation, then master how to design, develop, and deliver software products where AI is a core component of the system.
You will gain the practical skills required to build, integrate, and deploy AI capabilities within real applications, developing the technical understanding needed to engineer intelligent products end-to-end.
- Product and system design fundamentals for agentic and AI-enabled solutions.
- Generative AI, APIs, and integration design patterns.
- Vector databases and embeddings: data design, querying, and scaling.
- Retrieval-Augmented Generation (RAG): concepts, architecture, and implementation.
- Local LM deployment: tuning, security, and efficient delivery.
- Agentic AI: design, orchestration, and building functional AI agents.
- Collaboration with AI tools: best practices and workflows for effective teamwork.
- Product engineering process and cost management for scalability.
Before you can build AI products, you must know how to work effectively inside the teams that build them. This is the phase where you learn to work like an AI Product Engineer before you start building like one.
Micro-credential
Course contents
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