AIFLX

Library / Artificial Intelligence

Ultimate LLM Engineering from beginner to Pro

On Udemy

About this course

The Ultimate LLM Engineering from Beginner to Pro online course is a comprehensive, hands-on learning journey designed for anyone who wants to understand, build, deploy, and optimize applications powered by Large Language Models. Whether you are a complete beginner, programmer, data professional, or AI enthusiast, this course takes you step by step from the fundamentals of LLMs to advanced real-world engineering techniques.

You will begin by understanding the foundations of Artificial Intelligence, Machine Learning, Natural Language Processing, Transformers, and Large Language Models. You will learn how modern LLMs work, including tokenization, embeddings, attention mechanisms, context windows, inference, and model architectures.

As you progress, you will learn how to work with popular LLM APIs and open-source models and build practical applications using Python. The course covers prompt engineering, structured outputs, function calling, tool use, embeddings, vector databases, semantic search, and Retrieval-Augmented Generation (RAG).

You will also explore advanced LLM engineering concepts such as fine-tuning, QLoRA, parameter-efficient fine-tuning, model evaluation, hallucination reduction, LLM security, and performance optimization. You will learn how to design production-ready AI systems and integrate LLMs with databases, APIs, external tools, and applications.

The course emphasizes practical projects so that you can transform theoretical knowledge into real-world LLM applications. By the end of the course, you will have the skills to design and develop intelligent LLM-powered applications and confidently progress toward professional-level LLM engineering.

This course is ideal for beginners who want to enter the Generative AI field as well as developers and AI professionals who want to strengthen their LLM engineering skills.

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