Udemy - AI LLM Engineering Mastery GenAI RAG Complete Guide Free Download

Udemy – AI LLM Engineering Mastery GenAI RAG Complete Guide – Paulo Dichone (Feb 2025)
English | Tutorial | Size: 16.21 GB

From Fundamentals to Advanced AI Engineering – Fine-Tuning, RAG, AI Agents, Vector Databases & Real-World Projects

Become an AI Engineer and master Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, and vector databases in this comprehensive hands-on course.

Whether a beginner or an experienced developer, this course will take you from zero to hero in building real-world AI-powered applications.

This course combines deep theoretical insights with hands-on projects, ensuring you understand AI model architectures, development and optimization strategies, and practical applications.

What You’ll Learn:

Deep Learning & Machine Learning Foundations

Understand neural networks, activation functions, transformers, and the evolution of AI.

Learn how modern AI models are trained, optimized, and deployed in real-world applications.

Master Large Language Models (LLMs) & Transformer-Based AI

Deep dive into OpenAI models, and open-source AI frameworks.

Build and deploy custom LLM-powered applications from scratch.

Retrieval-Augmented Generation (RAG) & AI-Powered Search

Learn how AI retrieves knowledge using vector embeddings, FAISS, and ChromaDB.

Implement scalable RAG systems for AI-powered document search and retrieval.

LangChain & AI Agent Workflows

Build AI agents that autonomously retrieve, process, and generate information.

Fine-Tuning LLMs & Open-Source AI Models

Fine-tune OpenAI, and LoRA models for custom applications.

Learn how to optimize LLMs for better accuracy, efficiency, and scalability.

Vector Databases & AI-Driven Knowledge Retrieval

Work with FAISS, ChromaDB, and vector-based AI search workflows.

Develop AI systems that retrieve and process structured & unstructured data.

Hands-on with AI Deployment & Real-World Applications

Build AI-powered chatbots, multimodal RAG applications, and AI automation tools.

Who Should Take This Course?

Aspiring AI Engineers & Data Scientists – Looking to master LLMs, AI retrieval, and search systems.

Developers & Software Engineers – Who want to integrate AI into their applications.

Machine Learning Enthusiasts – Seeking a deep dive into AI, GenAI, and AI-powered search.

Tech Entrepreneurs & Product Managers – Wanting to build AI-driven SaaS products.

Students & AI Beginners – Who need a structured, step-by-step path from beginner to expert.

Course Requirements

No prior AI experience required – the course takes you from beginner to expert.

Basic Python knowledge (recommended but not required – Python Fundamentals Included in the course).

Familiarity with APIs & JSON is helpful but not mandatory.

A computer with internet access for hands-on development.

Why Take This Course?

Comprehensive AI Training: Covers LLMs, RAG, AI Agents, Vector Databases, Fine-Tuning.

Hands-On Projects: Every concept is reinforced with real-world AI applications.

Up-to-Date & Practical: Learn cutting-edge AI techniques & tools used in top tech companies.

Zero to Hero Approach: Designed for absolute beginners & experienced developers alike.

Master AI Engineering and become an expert in GenAI, LLMs, and RAG today.

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