Microsoft에서 제너레이티브 AI에 관한 최고의 강좌

 

Microsoft에서 제너레이티브 AI에 관한 최고의 강좌를 출시했습니다!

 

21개의 강의로 구성된 이 무료 강좌는 Github에서 제공되며, 제너레이티브 AI 애플리케이션을 구축하는 데 필요한 모든 것을 알려줍니다. 

 

문서 출처는 이곳을 참고하세요.

 

 

 

 

🗃️ Lessons

#	Lesson Link	Description	Video	Extra 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

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