AI & LLM Engineering Mastery: GenAI, RAG Complete Guide | Udemy

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.