AI Engineering for RAG and LLM Framework & Agents

About this course

Agentic AI and LLM Engineering for Beginners is a practical introduction to the rapidly growing world of Large Language Models and intelligent AI agents. This course is designed for beginners who want to understand how modern AI systems work and learn how to build applications that can reason, interact with tools, process information, and complete tasks with greater autonomy.

You will start by learning the fundamentals of Generative AI, Large Language Models, prompts, tokens, embeddings, and AI application architecture. The course then introduces the core concepts behind Agentic AI, including AI agents, autonomous workflows, tool calling, memory, planning, reasoning, and multi-step task execution.

You will learn how LLMs can be integrated into real-world applications using programming and modern AI development techniques. The course also introduces important concepts such as Retrieval-Augmented Generation, vector databases, context management, function calling, and connecting AI models with external tools and APIs.

Throughout the learning journey, you will explore how to design and develop practical AI-powered applications and agent workflows. The course focuses on concepts in a simple and structured manner so that learners can gradually progress from fundamental ideas to building more capable LLM-based applications.

This course is suitable for beginners, students, software developers, Python programmers, data professionals, and anyone interested in learning how Agentic AI and LLM technologies are transforming modern software development.

By the end of the course, you will have a strong foundation in LLM Engineering and Agentic AI and will understand how to approach the design, development, and integration of intelligent AI applications.

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