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所在平台: Udemy |
课程主页: https://www.udemy.com/course/bootcamp-generative-artificial-intelligence-and-llm-app-development/
课程评论：没有评论
课程名称：2025训练营：生成性人工智能、LLM应用、AI代理、Cursor AI 课程概述：本在线训练营是我们400小时面对面硕士项目的紧凑加速版。课程分为四个部分： 第一部分：了解人工智能及新兴的生成性人工智能，以及其在商业、初创公司和就业领域的革命潜力。 第二部分：学习构建专业级的LLM应用，这是生成性人工智能最具潜力的应用。课程内容包括高级RAG LLM应用、多模态LLM应用、AI代理以及多代理LLM应用的构建和管理LLMOps。 第三部分：通过Cursor AI和新的AI编程助手，无需编写代码即可构建传统和生成性AI应用。学习Cursor AI、Claude AI等AI编程助手的功能，并通过与Replit平台等工具结合来提升其性能。 第四部分：学习如何使用Cursor AI无代码创建SaaS应用。通过两个高级实际案例，了解生成性人工智能如何改变SaaS（软件即服务）模型。 课程结束时，您将掌握以下技能： - 了解AI对行业的影响，识别AI带来的新商机，制定AI引入公司计划，选定适合的试点项目，组建AI团队，并准备公司的AI战略。 - 识别100个AI初创公司的机会，了解AI对职业的影响，以及新职业的出现。 - 了解LLM应用的主要案例，包括RAG应用、多模态应用、AI代理及其多代理应用。 您将学习专业LLM应用的架构，掌握Python和JavaScript编程语言，使用计算机终端和Jupyter笔记本、代码编辑器（如Visual Studio Code）、虚拟环境等工具。学习使用各类LLM模型（如OpenAI、DeepSeek等）、RAG技术、创建原型并构建完整的全栈CRUD应用。 此外，将学习如何利用Cursor AI和新AI编程助手进行无代码开发，包括从简单的待办事项应用程序到社交网络、聊天机器人等六个项目的构建。还将探讨生成性人工智能如何颠覆SaaS业务，并预测未来的SaaS模型。 训练营包括超过650节课程、视频和演示，提供320个实际笔记本和50个代码仓库。课程材料涵盖400小时的学习和实践，并赠送价值50美元的两本电子书：“人工智能的关键”和“100个在第一年内赚取超过50万美元的AI初创公司”。 课程主题包括：人工智能、生成性人工智能、LLM应用、多模态LLM应用、全栈应用程序、LangChain、RAG技术以及SaaS等。
This Online Bootcamp is a compact and accelerated version of our 400-hour in-person master's program.It has four parts:- In Part 1, you will learn the keys to Artificial Intelligence and the new Generative AI, as well as its potential to revolutionize businesses, startups, and employment.- In Part 2, you will learn to build professional-level LLM Applications, the most potential applications of Generative AI. You will also learn how to build Advanced RAG LLM Apps, Multimodal LLM Apps, AI Agents, Multi-Agent LLM Apps, and how to manage LLMOps.- In Part 3, you will learn how to build traditional and Gen AI apps without coding using Cursor AI and the new AI Coding Assistants. You will learn what are AI Coding Assistants like Cursor AI, Claude AI, v0, o1, Replit Agent, etc, and how to increase their performance by combining them with tools like the Replit platform, simplified backends like Firebase, Replicate AI, Stable Fusion, or Deepgram.- In Part 4, you will learn how to create SaaS applications without coding using Cursor AI. You'll also see, through two high-level real-world examples, how Generative AI is transforming the SaaS (Software as a Service) model.By the end of this program, you will know how to do the following:AI AND BUSINESSKnow the businesses that AI puts at risk of disappearing.Know the new opportunities created by AI for businesses.Design a plan to introduce AI into your company.Select an appropriate pilot project to introduce AI into your company.Form the first AI team in your company.Prepare your company's AI strategy.AI AND STARTUPIdentify 100 opportunities to create AI startups.AI AND EMPLOYMENTKnow the professions that AI puts at risk of disappearing.Know the new professions created by AI.LLM APPLICATIONS, THE APPLICATIONS WITH THE GREATEST POTENTIAL OF GENERATIVE AI.Know the main use cases of LLM Applications in businesses and startups.RAG LLM Applications.Multimodal LLM Applications.AI Agents.Multi-Agent LLM Applications.CREATION OF PROFESSIONAL LLM APPLICATIONS.You will learn the Architecture of an LLM Application.You will learn how to learn programming languages like Python and Javascript.You will learn to work with your computer's terminal.You will learn to work with Jupyter notebooks.You will learn to work with code editors like Visual Studio Code.You will learn to work with virtual environments.You will learn to work with hidden files to save credentials.You will learn how to use different LLM models (OpenAI, DeepSeek, Meta, Mistral, Anthropic, Groq, etc).You will learn the RAG (Retrieval Augmented Generation) technique.You will learn to use LangChain.You will learn to use the LangChain Expression Language (LCEL).You will learn LCEL in depth.You will learn to use the new versions v010 and v020 of LangChain.You will learn to use LlamaIndex.You will learn to use the OpenAI API.You will learn to use OpenAI's functions.You will learn to use LangSmith.You will learn to use LangServe.You will learn to use templates of LangChain and LlamaIndex.You will learn what AI Agents are and how to create them.You will learn to create prototypes (demos) of LLM applications with LangChain and Streamlit.You will learn to create full-stack CRUD applications with Nextjs, FastAPI, and Postgres.You will learn to create professional full-stack LLM applications with LangChain, LlamaIndex, Nextjs, Tailwind CSS, FastAPI, Flask, and Postgres.You will learn to use vector and traditional databases.You will learn to deploy applications on Vercel and Render.You will learn to use AWS S3 as a remote storage platform.You will learn to use ChatGPT as a programming assistant.You will learn to use GPT4-Vision and GPT4o.You will learn to work with Github and Github Codespaces.You will learn what LLMOps is and how to use it in your LLM Applications.You will learn the principles of Responsible AI and how to use them in your LLM Applications.You will learn how to build advanced RAG LLM Applications.You will learn how to build the new Multimodal LLM Applications.You will learn how to build the new AI Agents.You will learn how to build the new Multi-Agent LLM Applications.You will learn to use LangGraph.You will learn to use CrewAI.APP DEVELOPMENT WITHOUT CODING USING CURSOR AI AND THE NEW AI CODING ASSISTANTSCursor AI, the new AI Coding Assistants and the future of software development.Analysis of Cursor AI and the top AI Coding Assistants.Top strategies and techniques to get the most from Cursor AI.The best Cursor AI combo for beginners: custom starter template, Replit, v0, and Firebase.How to build 6 complete projects without coding using Cursor AI: from a simple to-do list app, to a social network, a chatbot, a tex-to-image app, a voice-to-text app, and a basic full-stack SaaS app with authentication and payment systems.HOW GENERATIVE AI IS DISRUPTING THE SAAS BUSINESSESHow Generative AI is replacing major SaaS apps like Salesforce and Workday.How AI Agents are killing SaaS apps.The future of SaaS and Micro SaaS.The Bootcamp consists of:More than 650 lessons divided into sections.More than 650 videos.More than 320 attached presentations.More than 220 practical notebooks.50 practical code repositories on Github.45 LLM applications of different difficulty levels: basic, intermediate, and advanced.Material for more than 400 hours of study and practice for the student.2 downloadable books valued at $50: "Keys to Artificial Intelligence" and "100 AI Startups that made more than $500,000 before the first year".Topics included in this Bootcamp: AI, Generative AI, AI Applications, LLM Applications, Multimodal LLM Applications, chatGPT, Llama2, GPT-4 Vision, GPT4o, Full-Stack Applications, LangChain, LangChain Expression Language (LCEL), LangChain v010, LangChain v020, LlamaIndex, OpenAI, OpenAI API, RAG, RAG Technique, Vector databases, Postgres, Pinecone, Chroma, DeepLake, Streamlit, Nextjs, Tailwind CSS, Vercel, FastAPI, Flask, Render, AWS S3, LangSmith, LangServe, LangChain Templates, LlamaIndex Templates, LLMOps, Responsible AI, LangGraph, CrewAI, Multi-Agent LLM Apps, AI Agents, Groq, Llama3, Mixtral, Cursor AI, Cursor, Composer, v0, Claude AI, Claude 3.5 Sonnet, o1, o1-preview, o1-mini, Replit Agent, Replit, Firebase, Supabase, Replicate AI, Stable Fusion, Deepgram, SaaS, Micro SaaS, DeepSeek.
