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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practical-genai-part-1-genai-basics/
课程评论：没有评论
课程名称：实用生成AI基础 课程概述：这是实用生成AI系列的第一部分，旨在培养专业生成AI工程师/开发者。从基础开始，深入了解大型语言模型（LLMs）和生成AI，逐步构建可用于生产的应用程序。该课程强调“动手实践”，所有示例都基于代码，最终项目将通过Python、Google Colab逐步构建，并在Streamlit上部署。课程结束时，学员将能够构建一个类似ChatGPT的应用程序。内容将包括提示工程方法，并应用这些方法构建超越ChatGPT知识的自定义应用。我们将使用OpenAI API、LangChain等多种工具，通过Streamlit作为用户界面和云部署框架，共同构建不同的应用程序。Streamlit以其易用性和简单的Python编程而闻名。 适合对象：有良好开发背景的企业家可以借此课程验证概念（PoC）；具有良好AI背景的开发者可以丰富其将生成AI集成到应用程序中的能力；以及生成AI工程师，能够理论和实践上覆盖生成AI的各个方面，并解决构建生成AI应用过程中可能遇到的各种需求和问题。 课程内容将引导学员深入理解“什么是生成AI工程师”。
This is part 1 of the Practical GenAI Sequel. The objective of the sequel is to prepare you to be a professional GenAI engineer/developer. I will take you from the ground-up in the realm of LLMs and GenAI, starting from the very basics to building working and production level apps. The spirit of the sequel is to be "hands-on". All examples are code-based, with final projects, built step-by-step either in python, Google Colab, and deployed in streamlit. By the end of the courses sequel, you will have built chatgpt clone. We will cover prompt engineering approaches, and use them to build custom apps, that go beyond what ChatGPT knows. We will use OpenAI APIs, LangChain and many other tools. We will build together different applications using streamlit as our UI and cloud deployment framework. Streamlit is known of its ease of use, and easy python coding.This course is for:An entrepreneur with good developer background can benefit from the course in proofing his concept (PoC)A developer, with good AI background, can enrich his capabilities to integrate GenAI in his apps.And finally the GenAI engineer, which should be able to cover all the aspect of GenAI; either theoritically or practically, and navigate through the different requirements and issues that might be encountered while building GenAI apps.This leads us to talk a bit about "What is a GenAI engineer?"
