Fundamentals of AI Engineering: Principles and Practical Applications

Fundamentals of AI Engineering: Principles and Practical Applications

About Course

Transform your software engineering skills into AI engineering capabilities with this in-depth, hands-on course. Learn how to build production-ready AI systems, from embedding generation to model deployment. Master practical implementations of vector stores, RAG systems, and hybrid search while gaining expertise in operational aspects like monitoring and CI/CD. Plus, learn to use GitHub Codespaces to build real-world applications that showcase modern AI engineering practices.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace.

Course content

videoIntroduction Buy Now
videoWhat you should know Buy Now
videoCourse structure Buy Now
videoWhat is AI engineering? Buy Now
videoFrom deterministic to probabilistic systems Buy Now
videoRunning inference locally Buy Now
videoDeconstructing the LLM Buy Now
videoPutting the LLM pipeline together Buy Now
videoText extraction overview Buy Now
videoText extraction fundamentals Buy Now
videoDocument parsing and structure recognition Buy Now
videoMetadata enrichment and indexing Buy Now
videoChunking strategies Buy Now
videoIntroduction to embeddings Buy Now
videoThe embedding ecosystem Buy Now
videoComparing embedding models Buy Now
videoEfficient embedding generation Buy Now
videoChallenge Buy Now
videoSolution Buy Now
videoIntroduction to vector databases Buy Now
videoBasic operations Buy Now
videoPersistence and performance Buy Now
videoScaling strategies (approximate nearest neighbor, or ANN) Buy Now
videoScaling strategies (caching) Buy Now
videoIntroduction to retrieval engineering Buy Now
videoImplementing BM25 and vector search Buy Now
videoBuilding a hybrid retriever Buy Now
videoEnhancing retrieval with reranking Buy Now
videoBuilding a complete retrieval pipeline Buy Now
videoObservability Buy Now
videoNext steps and resources Buy Now

Munich Ventures Academy

Erna Stepanyan

Erna Stepanyan

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L&D Onboarding: Quality Assurance

This bundle includes։

Courses։ 10

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