AI LEARNING hub!
Your complete guide to mastering AI, RAG, and model fine-tuning through expert courses and resources
Your complete guide to mastering AI, RAG, and model fine-tuning through expert courses and resources
AI-Driven Development: Systems, Workflows & Real-
World Practices
The "AI-Driven Development: Systems, Workflows & Real-World
Practices"
delivers hands-on tutorials
on leveraging AI for faster coding, testing,
deployment, and enterprise-scale projects.
Key topics include AI-generated PRDs, production-grade ML data
systems
for chatbots/summarizers, evaluation-driven
workflows with MLflow, and
cloud pipelines
on Azure/Google Cloud.
In this video, Andrew Ng explains the basics of generative AI—what it is, how it works, and why it’s becoming a transformative technology across industries. He breaks down complex concepts with simple examples to help anyone understand the foundation of modern AI.
In this course, Isa Fulford and Andrew Ng explain how to write
effective
prompts for building real-world
AI applications. You’ll learn practical
techniques for guiding LLMs, explore new ways to use ChatGPT in
development, and get hands-on experience creating and refining prompts
with the OpenAI API.
In this video, Don Woodlock explains how Retrieval-Augmented Generation works and why it’s used to build AI systems that answer questions using your own internal data. He breaks down the RAG architecture with simple examples to show how it improves accuracy and makes AI responses more reliable.
In this course, Nikita Namjoshi explains how RLHF is used to align
language models with human preferences. You’ll learn the core
concepts
behind the RLHF process, fine-tune a model using Google
Cloud tools, and
evaluate how human feedback improves model
behavior.