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Mastering Large Language Models

Intensive deep-dive into transformers, fine-tuning, and RAG pipelines. Perfect for understanding modern AI systems and building cutting-edge applications.

40 hours
3 weeks
4.8 (1.8k reviews)
Enroll Now - $699

What You'll Master

  • Transformer architecture and attention mechanisms
  • Fine-tuning and training large language models
  • RAG (Retrieval-Augmented Generation) systems
  • Building production-ready AI applications
  • Advanced prompt engineering techniques

Course Curriculum

1Introduction to Generative AI
Understanding generative models and their applications
5 hours • 8 lessons
2Transformer Architecture Deep Dive
Attention mechanisms, encoder-decoder architecture, and implementation
8 hours • 12 lessons
3Large Language Models
GPT, BERT, T5, and other state-of-the-art models
7 hours • 10 lessons
4Fine-tuning and Training
Transfer learning, parameter-efficient fine-tuning, and training strategies
6 hours • 8 lessons
5RAG Systems & Vector Databases
Building retrieval-augmented generation systems for enhanced AI applications
4 hours • 6 lessons
Course Details
Duration3 weeks
Total Hours40 hours
Difficulty
Advanced
Certificate
Yes
Students1,800+
$699
Enroll Now

Meet Your Instructor

MS

Dr. Michael Smith

Principal Research Scientist at OpenAI

Dr. Smith is a leading expert in large language models and generative AI. He has contributed to several breakthrough papers in transformer architecture and has been instrumental in developing state-of-the-art language models. His research focuses on scaling laws and emergent capabilities.

PhD MIT
OpenAI
30+ Papers