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Level 3 · 30–40 hours

Build GenAI Systems

Master the engineering skills to build and deploy real GenAI systems: RAG pipelines, AI agents, multi-agent systems, and production ML infrastructure.

20 lessons

40 assessment questions

30–40 hours

0 of 20 lessons done0%

Lessons in This Level

1Embeddings And Vectors08-rag

2Retrieval Basics08-rag

3Vector Databases08-rag

4Rag Pipeline08-rag

5Chunking Strategies08-rag

6Hybrid Search08-rag

7Reranking08-rag

8Rag Evaluation08-rag

9Agent Fundamentals09-agents

10Function Calling Internals09-agents

11Agent Memory09-agents

12Multi Agent Systems09-agents

13Agent Frameworks09-agents

14Agent Safety09-agents

15Agent Observability09-agents

16Model Serving10-ml-engineering

17Ml Pipelines10-ml-engineering

18Monitoring And Observability10-ml-engineering

19Cost Optimization10-ml-engineering

20Fine Tuning Llms05-transformers

Certification Assessment

Questions40 questions

Pass score70% or higher

RetakesUnlimited

CertificatePDF + shareable link

Topics Covered

RAG & knowledge systems

Embeddings & vector databases

AI agents & tool use

Multi-agent orchestration

ML engineering & production deployment

See AI think. Learn by watching machines learn — interactive ML visualizations from linear algebra to agents.

16 learning paths368 lessons

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