Master generative AI development from foundational concepts to production systems. Learn LLMs, transformer architectures, advanced RAG implementations, vector databases, and enterprise deployment strategies. This path is perfect for developers building intelligent applications, chatbots, content generation tools, and AI-powered solutions that generate and retrieve contextual information at scale for business innovation.
-
Build RAG applications with vector databases and embeddings.
-
Deploy generative AI systems in production environments.
-
Optimize LLM performance through advanced fine-tuning.
-
Compare different LLM architectures for specific use cases.
Courses
-
1
Generative AI vs. Traditional AI1h 17mGenerative AI vs. Traditional AI
By: Doug Rose
See the key differences between generative and traditional AI.
-
2
Introduction to Large Language Models1h 17mIntroduction to Large Language Models
By: Jonathan Fernandes
Learn about large language models—what they are, what they can do, and how they work.
-
3
Generative AI: Working with Large Language Models1h 22mGenerative AI: Working with Large Language Models
By: Jonathan Fernandes
Explore a user-friendly approach to working with transformers and large language models for natural language processing.
-
4
LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG)1h 33mLLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG)
By: Kumaran Ponnambalam
Learn about the basics of vector databases and how to use them in LLM caching and retrieval-augmented generation.
-
5
Advanced RAG Applications with Vector Databases1h 18mAdvanced RAG Applications with Vector Databases
By: Yujian Tang
Discover cutting-edge methods to perform retrieval-augmented generation (RAG) with a vector database.
-
6
RAG Fine-Tuning: Advanced Techniques for Accuracy and Model Performance54mRAG Fine-Tuning: Advanced Techniques for Accuracy and Model Performance
By: Harshit Tyagi
Fine-tune LLMs in Azure AI Studio using retrieval augmentation to create domain-specific AI systems using state-of-the-art RAFT technique.
-
7
GenAIOps Foundations1h 19mGenAIOps Foundations
By: Kumaran Ponnambalam
Leverage GenAIOps in your enterprises for effective development, deployment, and management of GenAI applications.
Instructors
Doug Rose
Author | Artificial Intelligence | Data Ethics | Agility
Jonathan Fernandes
AI/ML Engineer Building & Shipping Production-ready GenAI & Large Language Model Solutions Since Before ChatGPT.
Kumaran Ponnambalam
AI / ML Leader & Author
Yujian Tang
Guest Lecturer @ Stanford University | CEO @ OSS4AI
Harshit Tyagi
Building High Performing AI Automations & Internal Tools for Enterprises