The "Retrieval Augmented Generation (RAG) and Vector Databases for Developers (Video Course)" certification empowers developers to harness the combined potential of RAG techniques and vector databases in generative AI solutions. By mastering these cutting-edge tools, you’ll gain increased productivity, competitive advantage, and adaptability in building smarter applications that deliver accurate, current responses tailored to unique data sources. Enroll today to future-proof your career and unlock new opportunities in AI-driven development.

This certification covers the following topics:

• Understanding the Limitations of Large Language Models (LLMs)
• Retrieval Augmented Generation (RAG) as a Solution to LLM Limitations
• Core Components of a RAG Application
• Role of Vector Databases in Knowledge Retrieval
• Data Preparation: Chunking, Embeddings, and Similarity Search
• End-to-End Workflow for Building RAG Applications
• Evaluating RAG Systems: Quality and Reliability Metrics
• Scaling and Enhancing RAG Applications
• Practical Real-World Applications of RAG
• Key Terminology in RAG and Vector Databases