Microsoft에서 최고의 생성 AI 강좌

 

Microsoft에서 최고의 생성 AI 강좌를 출시했습니다!

 

GitHub에서 무료로 제공되는 21개 강좌를 통해 생성 AI 애플리케이션 구축에 필요한 모든 것을 배울 수 있습니다.🧵👇🏻 

 

 

🗃️ Lessons

#Lesson LinkDescriptionVideoExtra Learning

00	Course Setup	Learn: How to Setup Your Development Environment	Video Coming Soon	Learn More
01	Introduction to Generative AI and LLMs	Learn: Understanding what Generative AI is and how Large Language Models (LLMs) work.	Video	Learn More
02	Exploring and comparing different LLMs	Learn: How to select the right model for your use case	Video	Learn More
03	Using Generative AI Responsibly	Learn: How to build Generative AI Applications responsibly	Video	Learn More
04	Understanding Prompt Engineering Fundamentals	Learn: Hands-on Prompt Engineering Best Practices	Video	Learn More
05	Creating Advanced Prompts	Learn: How to apply prompt engineering techniques that improve the outcome of your prompts.	Video	Learn More
06	Building Text Generation Applications	Build: A text generation app using Azure OpenAI / OpenAI API	Video	Learn More
07	Building Chat Applications	Build: Techniques for efficiently building and integrating chat applications.	Video	Learn More
08	Building Search Apps Vector Databases	Build: A search application that uses Embeddings to search for data.	Video	Learn More
09	Building Image Generation Applications	Build: An image generation application	Video	Learn More
10	Building Low Code AI Applications	Build: A Generative AI application using Low Code tools	Video	Learn More
11	Integrating External Applications with Function Calling	Build: What is function calling and its use cases for applications	Video	Learn More
12	Designing UX for AI Applications	Learn: How to apply UX design principles when developing Generative AI Applications	Video	Learn More
13	Securing Your Generative AI Applications	Learn: The threats and risks to AI systems and methods to secure these systems.	Video	Learn More
14	The Generative AI Application Lifecycle	Learn: The tools and metrics to manage the LLM Lifecycle and LLMOps	Video	Learn More
15	Retrieval Augmented Generation (RAG) and Vector Databases	Build: An application using a RAG Framework to retrieve embeddings from a Vector Databases	Video	Learn More
16	Open Source Models and Hugging Face	Build: An application using open source models available on Hugging Face	Video	Learn More
17	AI Agents	Build: An application using an AI Agent Framework	Video	Learn More
18	Fine-Tuning LLMs	Learn: The what, why and how of fine-tuning LLMs	Video	Learn More
19	Building with SLMs	Learn: The benefits of building with Small Language Models	Video Coming Soon	Learn More
20	Building with Mistral Models	Learn: The features and differences of the Mistral Family Models	Video Coming Soon	Learn More
21	Building with Meta Models	Learn: The features and differences of the Meta Family Models	Video Coming Soon	Learn More

 

🌟 Special thanks

Special thanks to John Aziz for creating all of the GitHub Actions and workflows

Bernhard Merkle for making key contributions to each lesson to improve the learner and code experience.

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