Generative AI & LLMs
Go beyond chatting with models. Learn how generative AI systems are built: API integration, embeddings, retrieval-augmented generation, safety guardrails, and light fine-tuning concepts. Weekly milestones culminate in a mentor-reviewed capstone app that retrieves, generates, and explains its answers.
Integrate LLM APIs into a small application with error handling
Chunk documents, embed text, and run retrieval-augmented queries
Apply safety, moderation, and observability basics
Deliver a capstone GenAI feature with documented evaluation results
Overview
What you'll learn
- Integrate LLM APIs into a small application with error handling
- Chunk documents, embed text, and run retrieval-augmented queries
- Apply safety, moderation, and observability basics
- Deliver a capstone GenAI feature with documented evaluation results
Curriculum outline
Weekly milestones
Week 1
View topicsGenAI landscapeAPI setupMessage patterns
Week 1
View topicsWeek 2
View topicsEmbeddingsSimilarity searchVector stores intro
Week 2
View topicsWeek 3
View topicsRAG pipelineChunking strategiesSource attribution
Week 3
View topicsWeek 4
View topicsTool use overviewFunction callingAgent preview
Week 4
View topicsWeek 5
View topicsGuardrailsPII & policyHuman-in-the-loop
Week 5
View topicsWeek 6
View topicsFine-tuning conceptsWhen not to fine-tuneCost controls
Week 6
View topicsWeek 7
View topicsCapstone buildMentor code reviewIteration
Week 7
View topicsWeek 8
View topicsEval reportDemo dayProduction checklist
Week 8
View topicsWho this is for
A best-fit for Intermediate
This track is built for learners who want build with apis, embeddings, rag, and fine-tuning basics—mentor-reviewed capstone included.. You'll learn with structured milestones and mentor feedback so you always know how to progress.
Mentor support
You'll receive regular touchpoints with mentors for review, guidance, and decision-making coaching. The goal is not just completion—it's building proof.