LLM Application Development & RAG
About Course
Build secure AI applications with language-model APIs, retrieval-augmented generation, vector search, evaluation and deployment workflows.
Course overview
Move beyond prompting and learn to build useful applications powered by large language models. The course covers API integration, retrieval-augmented generation, evaluation and production design.
What you will learn
- Integrate language-model APIs into Python applications
- Design embeddings, vector search and RAG pipelines
- Work with documents, chunking, retrieval and structured outputs
- Evaluate quality, reduce hallucinations and apply guardrails
- Deploy a practical domain-focused AI assistant
Who should attend
Python developers, data professionals, automation engineers and technical graduates building AI-enabled software.
Format and duration
8 weeks of live online classes, coding labs and a deployable RAG capstone project.
Prerequisites
Working knowledge of Python and APIs is recommended.
Course Curriculum
About the instructor
25 Courses
0 students