Description
LLM Engineering Fundamentals: Generative AI, Agents & RAG is a course on building intelligent systems using large language models (LLMs) published by Udemy Online Academy. This is a comprehensive, hands-on course that teaches you the foundational skills needed to build intelligent systems using large language models (LLMs), agent-based workflows, and retrieval-augmented generation (RAG) techniques. You’ll learn how LLMs power modern AI applications, how to effectively engineer notifications, and how to structure agent logic that can make decisions, interact with external APIs, and automate multi-step tasks. The course also covers how to use RAG to combine LLM reasoning with relevant external data—enabling your systems to provide accurate, context-aware answers by retrieving information from knowledge sources or vector databases.
This course is designed to give you a clear, realistic, and forward-looking understanding of generative AI without focusing on tools, coding, or ad hoc frameworks. Rather than teaching you which buttons to click, this course explains what’s actually happening behind the scenes when an LLM generates text, makes mistakes, or appears intelligent. The course goes beyond theory to explain how LLMs are used in real-world systems, including Regenerative Augmentative Manufacturing (RAG) and AI agents, and why many agent systems fail in production. By the end, you’ll have the skills to design, build, and deploy LLM-based solutions that are both powerful and practical, with key topics including generative AI principles, agent architecture, RAG pipelines, workflow tuning, and real-world deployment covered in a seamless learning experience.
What you will learn in LLM Engineering Fundamentals : Generative AI, Agents & RAG:
- Understand how generative AI and large language models (LLMs) work, beyond tools and hype
- Explain why LLMs seem smart, where they fail, and why illusions and surefire mistakes occur.
- Understand core LLM concepts such as tokens, embeddings, context windows, converters, attention, training, fine-tuning, and guidance.
- Understand how LLMs are used in real-world systems, including Retrieval Augmented Generation (RAG) and AI agents.
- Identify the limitations, risks, and ethical considerations of using LLMs in business and organizational settings.
- Develop a realistic and forward-looking understanding of generative AI that enables better decision-making when working with or around AI systems.
- And…
Course specifications
Publisher: Udemy
Instructors: Akshay Desai
Language: English
Level: Intermediate
Number of Lessons: 5
Duration: 47 minutes
Course topics
LLM Engineering Fundamentals : Generative AI, Agents & RAG Prerequisites
No prior AI, machine learning, or programming experience is required
No technical background is needed
No coding, tools, or software installation is required
Pictures
LLM Engineering Fundamentals : Generative AI, Agents & RAG introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
1 GB
