AI Engineer: Agents AI, Design Pattern, LLM Engineering, RAG

About this course

Artificial Intelligence is transforming the way modern applications are developed, automated, and deployed. This course, AI Engineer: Agentic AI and Design Patterns, LLM Engineering, and RAG, is designed to help learners understand and build intelligent AI applications using modern AI engineering techniques, large language models, agentic AI systems, and retrieval-augmented generation.

Throughout this course, you will explore the fundamentals of Agentic AI and learn how AI agents can reason, plan, make decisions, use tools, and execute tasks with minimal human intervention. You will understand essential AI agent design patterns and discover how to structure reliable, scalable, and maintainable AI systems for real-world applications. These patterns will help you design intelligent workflows, coordinate multiple agents, and build applications that can handle complex tasks efficiently.

The course also introduces Large Language Model (LLM) engineering, covering the principles of working with modern language models and integrating them into practical applications. You will learn about prompt engineering, model integration, structured outputs, tool calling, and techniques for improving the reliability and performance of LLM-powered systems. You will also explore how to design AI applications that combine language models with external tools, data sources, and application logic.

Another major focus of this course is Retrieval-Augmented Generation (RAG). You will understand how RAG connects large language models with external knowledge sources to produce more relevant, context-aware, and informative responses. You will explore the key components of RAG pipelines, including document processing, text chunking, embeddings, vector databases, semantic search, retrieval strategies, and context-based response generation. These techniques are useful for building intelligent chatbots, document assistants, knowledge management systems, and enterprise AI applications.

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