Udemy
Generative AI : LLM, Fine-tuning, RAG & Prompt engineering
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
Become a job-ready AI Engineer by mastering the latest techniques in Generative AI, Retrieval-Augmented Generation, QLoRA fine-tuning, and AI Agents. The Ultimate AI Engineer with RAG, QLoRA, Agents course is designed to take you from foundational concepts to building advanced, production-ready AI applications using modern large language models.
You will learn how Large Language Models work and how to integrate them into real-world applications. The course covers prompt engineering, embeddings, vector databases, semantic search, document processing, and Retrieval-Augmented Generation. You will learn how to build intelligent systems that can retrieve relevant information from private documents and knowledge bases before generating accurate, context-aware responses.
The course also provides hands-on experience with QLoRA and parameter-efficient fine-tuning techniques. You will understand how to prepare datasets, select appropriate models, configure fine-tuning workflows, evaluate model performance, and adapt open-source language models for specialized business use cases.
A major focus of the course is AI Agents. You will learn how to design agents that can reason, plan tasks, use tools, access external information, maintain context, and interact with multiple systems. You will explore agent workflows, tool calling, memory, multi-agent architectures, and autonomous task execution.
Through practical projects, you will bring these concepts together to build intelligent applications such as document question-answering systems, enterprise knowledge assistants, research agents, automation agents, and AI-powered workflows.
By the end of this course, you will have the practical skills needed to design, develop, fine-tune, evaluate, and deploy modern AI applications using RAG, QLoRA, LLMs, and AI Agents.
This course is ideal for aspiring AI Engineers, Generative AI Developers, Machine Learning Engineers, Data Scientists, Python developers, software engineers, and professionals who want
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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