Fundamentals of Generative AI
Build a strong foundation in Generative AI and understand how Large Language Models (LLMs) work behind the scenes. This beginner-friendly course covers core concepts including transformers, tokenization, embeddings, LLM training, model selection, and practical applications. You'll also gain hands-on experience with popular AI platforms such as Azure AI Foundry, Ollama, and Google AI Studio to run and experiment with LLMs. By the end of the course, you'll have the knowledge and practical skills needed to confidently begin building Generative AI applications.
Overview Of Generative AI
FREE PREVIEWLab 1
GenAI Apps & Introductions to LLMs
ENROLLMENT REQUIREDLab 2
What do LLMs Predict? & Transformer Architecture
ENROLLMENT REQUIREDLab 3
Tokenization
ENROLLMENT REQUIREDLab 4
Word Embeddings
ENROLLMENT REQUIREDLab 5
How LLMs are Trained
ENROLLMENT REQUIREDLab 6
Open and proprietary LLMs
ENROLLMENT REQUIREDLab 7
How do you choose LLMs
ENROLLMENT REQUIREDLab 8
How to Use LLMs as a Developer
ENROLLMENT REQUIREDLab 9
LLMs Strengths and Limitations
ENROLLMENT REQUIREDLab 10
Clone a GitHub Repository
ENROLLMENT REQUIREDLab 11
Demo - Azure AI Foundary
ENROLLMENT REQUIREDLab 12
Demo - Ollama
ENROLLMENT REQUIREDLab 13
Demo - Google AI Studio
ENROLLMENT REQUIREDLab 14
Notebooks and scripts
ENROLLMENT REQUIREDLab 15
Resources
ENROLLMENT REQUIREDLab 16
Quiz
ENROLLMENT REQUIREDQuiz 1