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Generative AI Engineering: LLMs, RAG, and Agentic Systems · Program
About this program
Generative AI Engineering: LLMs, RAG, and Agentic Systems
Online Course
Learning format
Generative AI
Subcategory
English
Course language
$59.99 (list $9.99)
Price
Price may change · updated within 1–2 weeks
Official program page
What you'll learn in Generative AI Engineering: LLMs, RAG, and Agentic Systems
- Master Generative AI foundations, how LLMs work, and how modern AI systems are designed and applied in real-world products.
- Design and build end-to-end Generative AI systems using LLMs, retrieval pipelines, tools, and agentic workflows.
- Implement Retrieval-Augmented Generation (RAG), embeddings, vector search, reranking, and advanced retrieval patterns.
- Build AI agents, multi-step reasoning systems, and multi-agent workflows using LangChain and LangGraph.
- Develop production-style applications with structured outputs, validation, memory, and human-in-the-loop workflows.
- Create MCP servers and clients to connect LLMs to real tools, services, and enterprise systems.
- Fine-tune and optimize models using Hugging Face workflows, dataset preparation, and quantization techniques.
- Apply system-level best practices for cost, reliability, scalability, and responsible deployment of GenAI applications.
What's Included in Generative AI Engineering: LLMs, RAG, and Agentic Systems
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