Learn the fundamentals of building Generative AI applications with our 18-lesson comprehensive course by Microsoft Cloud Advocates. Recommended resources Generative AI for Beginners GitHub repo

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Learn: Understanding what Generative AI is and how Large Language Models (LLMs) work. ... Learn: How to apply prompt engineering techniques that improve the outcome of your prompts.

This GitHub course will help you to learn the fundamentals of building Generative AI applications with 21-lesson comprehensive course by Microsoft Cloud Advocates. Generative AI for Beginners (Version 3) – A Course by Microsoft

This repository is all about real-world applications and live coding to empower .NET developers to take full advantage of Generative AI. This is hands-on, practical, and designed to be fun! Don't forget to star (🌟) this repo to find it easier later. ➡️Get your own copy by Forking this repo and find it next in your own repositories. We're constantly improving this course with the latest AI tools, models, and practical samples: ... Integrate Claude models from Microsoft Foundry with Microsoft Agent Framework!

In this module, you'll explore the fundamentals of generative AI, including large language models (LLMs), prompts, and AI agents.

Classic Machine Learning, which is well described in our Machine Learning for Beginners Curriculum. Practical AI applications built using Cognitive Services. For this, we recommend that you start with modules Microsoft Learn for vision, natural language processing, Generative AI with Azure OpenAI Service and others.

February 26, 2024 - Explore Generative AI for Beginners - a 12-lesson course by Microsoft Cloud Advocates. Learn the fundamentals of building Generative AI applications. Get...

Generative AI for Beginners is a 21-lesson course by Microsoft Cloud Advocates that teaches the fundamentals of building generative AI applications in a practical, project-oriented way.

In this module, you'll explore the fundamentals of generative AI, including large language models (LLMs), prompts, and AI agents.

If this is your first time building with Generative AI models, check out our Generative AI For Beginners course, which includes 21 lessons on building with GenAI. Don't forget to star (🌟) this repo and fork this repo to run the code. If you get stuck or have any questions about building AI Agents, join our dedicated Discord Channel in the Microsoft Foundry Discord.

Look no further! In this video, Carlotta Castelluccio takes us through the inner workings of Generative AI and how it is revolutionizing various industries, specifically education.

The index of Microsoft GitHub repositories that are open source has been relocated to https://opensource.microsoft.com

This module serves as a guide to understanding the basics of generative AI including its applications.

Welcome to Generative AI for .NET! This course is your gateway to building amazing real-world applications with Generative AI, whether you're a beginner or a seasoned .NET developer.

Calling all .NET developers! Dive headfirst into the future with our .NET Machine Learning and AI for Beginners Series. Discover the seamless integration of Artificial Intelligence (AI) and Machine Learning (ML) into your .NET applications, unlocking a world of possibilities.

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/ - Activity · microsoft/generative-ai-for-beginners

Learn the fundamentals of building Generative AI applications with our 18-lesson comprehensive course by Microsoft Cloud Advocates. Generative AI for Beginne...

This program is structured into 3 distinct modules, designed to provide an in-depth understanding of Azure OpenAI and Generative AI. It begins with Module 1, which introduces the fundamentals of AI, machine learning (ML), large language models ...

A: 3, an LLM is non-deterministic, the response varies, however, you can control its variance via a temperature setting. You also shouldn't expect it to do things perfectly, it's here to do the heavy-lifting for you which often means you get a good first attempt at something that you need to gradually improve. After completing this lesson, check out our Generative AI Learning collection to continue leveling up your Generative AI knowledge!