AI & LLM Engineering Mastery - GenAI, RAG Complete Guide
Master Generative AI, Transformers, LangChain & RAG from Scratch to Deployment
Created by Paulo Dichone
Explore the world of Generative AI and large language models from the ground up. You'll move from foundational concepts to building and deploying real-world AI applications using tools like Transformers, LangChain, and OpenAI. No prior experience with AI is required, making it accessible for anyone ready to dive in.
Packt | Jun 2025 | 1096 min
What You Will Learn
You will start with clear explanations of core AI concepts and immediately apply them through hands-on coding exercises. As you progress, you'll build practical projects like chatbots and summarizers, gradually advancing to complex tasks such as fine-tuning models and deploying APIs. Each step reinforces your skills with real-world scenarios.
Key Features
- Develop and deploy LLM-powered apps using LangChain, Transformers, and OpenAI
- Master prompt engineering, memory management, and context handling in AI systems
- Design and implement RAG pipelines with PDF and UI integration for real projects
Target Audience
Perfect for software developers, ML engineers, data scientists, and tech enthusiasts looking to break into Generative AI and LLM development. If you have some programming experience or are willing to learn Python basics, you'll find the material approachable and rewarding as you work toward building advanced AI solutions.
