A Generative AI course for beginners

Microsoft Cloud Advocates have created a new set of training materials to enable the learning of the fundamentals of building Generative AI applications with a 12-lesson comprehensive course. Each lesson covers a key aspect of Generative AI principles and application development. Throughout this course, you will be building your own Generative AI start up so you can get an understanding of what it takes to launch your ideas. The agenda is below.

	Lesson Link Course Introduction - How to Take This Course	Concepts Taught Tech setup and course structure	Learning Goal Setting you up for success while learning in this course
	Introduction to Generative AI and LLMs	Concept: Generative AI and the current technology landscape	Understanding what Generative AI is and how Large Language Models (LLMs) work.
	Exploring and comparing different LLMs	Concept: Testing, iterating, and comparing different Large Language Models	Select the right model for your use case
	Using Generative AI Responsibly	Concept: Understanding the limitations of foundation models and the risks behind AI	Learn how to build Generative AI Applications responsibly
	Understanding Prompt Engineering Fundamentals	Code/Concept: Hands-on application of Prompt Engineering Best Practices	Understand prompt structure & usage
	Creating Advanced Prompts	Code/Concept: Extend your knowledge of prompt engineering by applying different techniques to your prompts	Apply prompt engineering techniques that improve the outcome of your prompts.
	Building Text Generation Applications	Code: Build a text generation app using Azure OpenAI	Understand how to efficiently use tokens and temperature to vary the model's output
	Building Chat Applications	Code: Techniques for efficiently building and integrating chat applications.	Identify key metrics and considerations to effectively monitor and maintain the quality of AI-powered chat applications
	Building Search Apps Vector Databases	Code: Semantic vs Keyword search. Learn about text embeddings and how they apply to search	Create an application that uses Embeddings to search for data.
	Building Image Generation Applications	Code: Image generation and why it's useful in building applications	Build an image generation application
	Building Low Code AI Applications	Low Code: Introduction to Generative AI in Power Platform	Build a Student Assignment Tracker App for our education startup with Low Code
	Integrating External Applications with Function Calling	Code: What is function calling and its use cases for applications	Setup a function call to retrieve data from an external API
	Designing UX for AI Applications	Concept: Designing AI Applications for Trust and Transparency	Apply UX design principles when developing Generative AI Applications
	Continue Your Learning	Links to continue your learning from each lesson!	Mastering your Generative AI skills