Udemy
GenAI Engineer Interview Prep: RAG, Embeddings, LLM Agents
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
“This course contains the use of artificial intelligence”The demand for skilled AI Engineers is growing faster than ever as organizations race to integrate Artificial Intelligence, Large Language Models (LLMs), and AI-powered automation into their products and workflows. However, many professionals struggle to understand how modern AI systems are actually built and deployed in real-world applications. This intensive course, “Become an AI Engineer in Just 3 Days,” is designed to bridge that gap by teaching the practical skills required to design, build, and deploy modern AI applications.
In this hands-on program, you will learn the core foundations of AI Engineering, focusing on the technologies that power today’s most advanced systems. Instead of spending weeks studying theory, you will build real applications using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI agents. By the end of the course, you will understand how to architect intelligent systems that combine models, data, and tools into scalable applications.
The course begins with the fundamentals of LLM architecture, where you will learn how modern AI models work, how tokens and context windows influence model behavior, and how to design effective prompts that guide AI systems to produce reliable outputs. You will also learn how to interact with models using LLM APIs, allowing you to integrate AI capabilities directly into software applications.
Next, you will move into one of the most important techniques used in production AI systems: Retrieval Augmented Generation (RAG). You will learn how to build systems that connect language models with external knowledge sources using embeddings, vector databases, and document retrieva
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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