本课程是一门针对全栈 AI 开发者的高清视频实战指南，旨在帮助学员利用 Python 彻底掌握生成式 AI 与智能体 AI（Agentic AI） 从基础到企业级应用的全套技术。在不到一小时的精炼时长内，课程通过高密度的项目驱动教学，深度打通了大语言模型（LLMs）、检索增强生成（RAG）、模型上下文协议（MCP）、向量数据库以及多智能体协同（如 LangGraph, CrewAI）等前沿核心概念；同时，它还无缝衔接了主流的开发生态（如 OpenAI, Hugging Face, Ollama）与全栈部署工具（FastAPI, Streamlit, Docker）。学员不仅能掌握从零构建具有推理、记忆和工具调用能力的自主智能体系统，还能独立开发并部署具备响应式前端、可扩展后端的生产级企业 AI 应用，快速丰富个人高含金量的项目作品集。
Published 7/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 59m | Size: 453.74 MB
Master Agentic AI and Generative AI with Python from beginner to Advanced | Hands-on Agentic and Generative AI Projects
What you’ll learn
Master Agentic AI and Generative AI from Fundamentals to Advanced
Develop Production-Ready AI Agents and Full-Stack Applications
Work with Leading AI Frameworks and Cloud Technologies
Create Real-World AI Projects for Your Portfolio
Requirements
You must be curious to learn generative AI with Python
Description
Unlock the future of Artificial Intelligence by mastering both Agentic AI and Generative AI with Python in this comprehensive, hands-on course. Designed for beginners, software developers, data professionals, and AI enthusiasts, this course takes you from the fundamentals of Python programming to building production-ready AI-powered applications using the latest AI technologies and frameworks.
You will learn how Large Language Models (LLMs) work, master prompt engineering, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), vector databases, embeddings, AI agents, multi-agent systems, tool calling, memory, planning, reasoning, and workflow automation. Through practical projects, you’ll gain the skills to create intelligent AI assistants, autonomous agents, document analysis systems, AI chatbots, coding assistants, and enterprise-grade AI applications.
The course also covers modern AI development frameworks such as LangChain, LangGraph, CrewAI, AutoGen, OpenAI APIs, Hugging Face, Ollama, FastAPI, Streamlit, and Docker. You’ll learn how to build full-stack AI applications with responsive user interfaces, scalable backend services, secure API integrations, and cloud deployment techniques.
With numerous real-world projects, coding exercises, and best practices, you’ll develop the confidence to design, build, deploy, and maintain modern AI solutions for business and production environments. By the end of this course, you will possess the practical skills required to build advanced AI-powered applications and be well-prepared for careers in AI engineering, Generative AI, Agentic AI, and intelligent software development.
Who this course is for
It is for anyone who wish to learn Generative AI with Python
Password/解压密码www.tbtos.com转载请注明：0daytown » Ultimate Full stack Agentic AI and Generative AI with Python