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所在平台: Udemy |
课程主页: https://www.udemy.com/course/zero-to-generative-ai-application-development-mastery/
课程评论：没有评论
## 2025 生成式AI应用开发精通：从零到全栈 本课程旨在帮助学员从零基础成长为能够独立开发全栈生成式AI应用的专业人士。课程涵盖人工智能、机器学习、深度学习及大型语言模型（LLMs）的基本概念，包括监督学习、无监督学习和强化学习。 您将深入学习**提示工程（Prompt Engineering）**，理解结构化提示的组成部分，区分系统提示和用户提示，并学习如何避免AI“幻觉”。 课程核心内容包括**生成式AI和LLMs**的原理，解析ChatGPT、Claude、Gemini等模型的工作机制，如Token、上下文窗口、Embeddings、Chunks和模型参数。 在**环境搭建**部分，学员将学习Python的安装，并集成ChatGPT、DeepSeek、Grok等生成式AI工具，通过实战编码掌握与LLMs的交互。 随后，课程将指导您使用**OpenAI、Google Gemini、DeepSeek API**构建自定义应用，学习如何连接、查询LLMs并将其集成到您的应用程序中。 **部署与本地运行**章节将介绍云端部署选项、定价模型，以及如何利用云端模型实现文本转语音、OCR和计算机视觉应用。此外，课程还将教授如何在本地计算机上运行LLMs，实现无云依赖的应用开发。 最后，课程将通过**全栈应用开发项目**，演示如何整合多个LLMs来解决实际问题，帮助学员构建自信、强大的生成式AI开发能力。
Master Generative AI from Zero to Fullstack Generative AI Application Development - Your Ultimate Learning Path!Step into the world of artificial intelligence with our comprehensive course, "Zero to Generative AI Application Development Mastery." Whether you're a beginner or looking to elevate your skills, this program guides you through every critical stage of building real-world AI applications.We begin with the foundations of AI and Machine Learning-understanding what AI really is, how it connects with machine learning, deep learning, and large language models (LLMs). Learn about supervised, unsupervised, and reinforcement learning and how they form the basis for today's cutting-edge AI systems.You will learn about Prompt Enginneering, components of a well structured PromptDifference between System and User Prompt with real examplesAI Hallucinations and How to avoid it.Next, dive into the core concepts of Generative AI and LLMs. You'll explore what makes models like ChatGPT, Claude, and Gemini tick-from tokens, context windows, and embeddings to chunks and model parameters. Discover how these elements power applications that can generate text, answer questions, and much more.In the hands-on environment setup section, we guide you through installing Python and integrating with GenAI tools such as ChatGPT, DeepSeek, and Grok. Learn different methods to interact with LLMs and gain practical experience through live coding.Then, move on to building custom applications using OpenAI, Google Gemini, and DeepSeek APIs. Learn to connect, query, and retrieve responses from LLMs directly into your apps using powerful SDKs.Explore hosting options and pricing models to deploy your own LLMs in the cloud. You'll even use cloud-hosted models for text-to-speech, OCR, and computer vision applications.Ready to go local? We show you how to run LLMs on your own computer and call them from your code-no cloud dependency needed.Finally, cap it off with real-world fullstack app development projects that integrate multiple LLMs to solve practical problems.This is not just a course-it's your gateway to becoming a confident and capable Generative AI developer. Are you ready to master the future?
