Description
AI ENGINEERING & LLM MASTERCLASS is a course on the skills needed to build, deploy, and scale modern AI applications based on Large Language Models (LLM) published by Udemy Online Academy. The course covers the full AI engineering cycle, from understanding basic models and rapid engineering to developing production-ready AI systems that integrate with external data sources, APIs, and enterprise applications. AI tools were used to help draft scripts, structure slides, and voice narration. Each lesson was reviewed, edited, and validated by the instructor based on real-world production experience in enterprise AI and data engineering systems.
Students will learn how to implement Retrieval Augmentative Generation (RAG), fine-tune model behavior, build AI agents, manage vector databases, optimize performance, and deploy scalable solutions in real-world environments. You will learn agile engineering properly – not just zero-shot and multi-shot, but also structured output, injection defense, versioning, and testing. You will build RAG pipelines from scratch, implement vector databases, and deploy AI agents that can reason, use tools, and recover from failures. You will understand fine-tuning well enough to know when the decision is right and when it is not.
What you will learn in AI ENGINEERING & LLM MASTERCLASS:
- Each section has a real deployable project
- Goes beyond ChatGPT coverage to real engineering
- Covering what companies actually hire for – RAG, Agents, Fine-tuning, LLMOps
- Evaluation, Cost Optimization and Responsible AI
- And…
Course specifications
Publisher: Udemy
Instructors: Ganesh Ravikumar
Language: English
Level: Intermediate
Number of Lessons: 73
Duration: 3 hours and 56 minutes
Course topics
AI ENGINEERING & LLM MASTERCLASS Prerequisites
No AI/ML background needed — we build from the ground up
Pictures
AI ENGINEERING & LLM MASTERCLASS 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
901 MB
