AI & LLM Engineering Mastery: GenAI, RAG Complete Guide
Overview of AI & LLM Engineering Mastery: GenAI, RAG Complete Guide Course on Udemy
Unlock the power of Artificial Intelligence and Large Language Models with the AI & LLM Engineering Mastery: GenAI, RAG Complete Guide course on Udemy. This comprehensive 28-hour on-demand video course, led by experienced instructor Paolo Dichone, takes you from AI fundamentals to advanced engineering, covering Generative AI, Retrieval-Augmented Generation (RAG), AI Agents, and vector databases. Designed for beginners and seasoned developers alike, it includes hands-on projects like building AI-powered chatbots and multimodal RAG applications. With 6 articles and 1 downloadable resource, you’ll have everything needed to master real-world AI applications. Enroll today with coupon MAY-AI-LLM (valid until May 31, 2025—check the offer box below for the discount link!)
What to Expect from the AI & LLM Engineering Mastery: GenAI, RAG Complete Guide Course
This 28-hour course offers a structured, hands-on learning experience, blending theoretical insights with practical projects. Paolo Dichone, a software engineer and AWS Cloud Practitioner, delivers engaging lessons that cater to aspiring AI engineers, developers, and tech enthusiasts. No prior AI experience is required, as the course includes Python fundamentals, making it accessible to beginners while challenging for advanced learners.
You’ll build real-world applications, such as AI-driven chatbots and scalable RAG systems, using tools like LangChain, FAISS, and ChromaDB. The course emphasizes practical skills, with projects reinforcing every concept. Hosted on Udemy, it offers flexible, self-paced learning with lifetime access, allowing you to study at your convenience.
What You Will Learn in AI & LLM Engineering Mastery: GenAI, RAG Complete Guide
- Master the fundamentals of AI, machine learning, and deep learning, including neural networks and transformers.
- Build and deploy custom LLM-powered applications using OpenAI models and open-source frameworks.
- Implement RAG systems for AI-powered document search and retrieval with vector embeddings, FAISS, and ChromaDB.
- Develop AI agents that autonomously retrieve, process, and generate information using LangChain workflows.
- Fine-tune LLMs with techniques like LoRA and OpenAI for customized, efficient AI responses.
- Create multimodal RAG applications and AI automation tools for real-world use cases.
Why Choose This AI & LLM Engineering Mastery: GenAI, RAG Complete Guide Course on Udemy
Paolo Dichone’s expertise as an instructor, with over 280,000 students taught globally, ensures a high-quality learning experience. The course’s 28 hours of video, 6 articles, and 1 downloadable resource provide exceptional value, covering cutting-edge tools and techniques used by top tech companies. Its zero-to-hero approach makes it ideal for beginners and experienced developers alike, with no prior AI knowledge required.
The hands-on projects build a portfolio to showcase to employers, and Udemy’s lifetime access keeps you updated as AI evolves. Use MAY-AI-LLM to snag it at a discount (see offer box)!
Recommended Courses with AI and LLM Focus
Looking to expand your skills? Check out these related courses:
Test AI & LLM App with DeepEval, RAGAs & more using Ollama New
Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM Best seller
- LLM Engineering: Master AI, Large Language Models & Agents | Udemy – Build 8 LLM apps in 8 weeks with RAG, LoRA, and AI Agents.
- LangChain Mastery: Build GenAI Apps with LangChain & Pinecone | Udemy – Develop LLM-powered apps with LangChain and vector databases.
- Generative AI with LLMs Certification | NVIDIA – Gain foundational skills in LLMs and Generative AI with NVIDIA solutions.
Our Review of AI & LLM Engineering Mastery: GenAI, RAG Complete Guide Course
From an admin perspective, this course excels in its comprehensive structure and practical focus. Paolo Dichone’s clear teaching style makes complex topics like RAG and vector databases approachable, while the 28-hour runtime ensures depth. The hands-on projects, such as building AI chatbots and RAG systems, are well-designed, offering real-world applicability that’s perfect for job seekers or entrepreneurs.
The course is ideal for those with basic Python knowledge, though absolute beginners benefit from the included Python fundamentals. With MAY-AI-LLM, it’s a steal!
- Pros:
- Extensive hands-on projects build a strong AI portfolio.
- Paolo Dichone’s engaging, expert-led instruction.
- Beginner-friendly with Python fundamentals included.
- Cons:
- 28-hour duration may feel lengthy for some learners.
- Advanced projects may require familiarity with APIs for optimal experience.
Rating the AI & LLM Engineering Mastery: GenAI, RAG Complete Guide Course
Overall Rating: 9.6/10
- Content: 9.6/10 – Covers AI fundamentals to advanced RAG and LLM techniques with practical projects.
- Delivery: 9.0/10 – Paolo’s clear, enthusiastic teaching shines, though pacing may vary for beginners.
- Value: 9.6/10 – Affordable with MAY-AI-LLM.
Seize this opportunity to master AI and LLMs—enroll now with the discount and launch your AI engineering career
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