专为Python开发者打造的智能体全栈课程，涵盖LLM原理、提示词工程、RAG技术及LangGraph构建单/多智能体系统。掌握MCP协议、FastAPI接口与AWS部署，通过企业级项目实践打通AI应用落地全链路。
原始标题：Agentic AI Bootcamp: Build AI Agents with LangGraph
本课程是一门面向 Python 开发者的智能体（Agentic AI）全栈实战训练营。课程从大语言模型（LLM）底层原理与提示词工程出发，逐步深入检索增强生成（RAG）技术，重点教授如何利用 LangChain 和 LangGraph 构建具备自主推理、长期记忆与工具调用能力的单/多智能体系统。同时，学员还将掌握最新的模型上下文协议（MCP），实现 AI 与外部服务的无缝对接。
在工程落地阶段，课程聚焦于高可用生产环境的搭建，涵盖使用 FastAPI 构建 REST API、利用 LangSmith 进行全流程追踪与评估，以及在 AWS（EC2 与 S3）上进行云端部署。通过对智能研报助手、工作流自动化和 MCP 服务器等企业级项目的亲手实践，学员能够打通从基础理论到商业级 AI 应用部署的全产业链条。
Published 7/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 20m | Size: 2.97 GB
Learn Agentic AI by building AI agents with OpenAI, LangChain, LangGraph, RAG, MCP & LangSmith.
What you’ll learn
Understand the fundamentals of AI, Machine Learning, Deep Learning, and Generative AI
Learn how Large Language Models (LLMs) work and how to interact with them effectively.
Master prompt engineering techniques to generate accurate and reliable AI responses.
Build Retrieval-Augmented Generation (RAG) applications using embeddings and vector search.
Develop AI applications with LangChain and create intelligent workflows.
Build AI Agents and multi-agent systems using LangGraph and external tools.
Understand the Model Context Protocol (MCP) and integrate AI with external services.
Create REST APIs for AI applications using FastAPI
Deploy AI applications on AWS using Amazon EC2 and Amazon S3.
Gain the confidence to build practical, end-to-end Agentic AI applications from scratch.
Requirements
Basic Python programming knowledge is recommended.
A computer (Windows, macOS, or Linux) with internet access.
No prior AI, Machine Learning, or Deep Learning experience is required.
Willingness to learn and build hands-on projects.
Google Colab or VS Code installed for coding along.
Description
Welcome toThe Complete Agentic AI Bootcamp 2026, one of the most comprehensive and project-based courses designed to help you master the next generation of Artificial Intelligence.
Traditional chatbots simply answer questions.Agentic AI goes far beyond that—it enables AI systems to reason, plan, use tools, retrieve knowledge, collaborate with other agents, remember context, and autonomously complete complex tasks.
In this course, you’ll start from the absolute fundamentals of AI, Machine Learning, Deep Learning, Transformers, and Large Language Models before progressing to advanced Agentic AI architectures used by leading AI companies today.
Unlike theory-heavy courses, this bootcamp focuses onlearning by building. Every major concept is accompanied by hands-on coding exercises, notebooks, and real-world projects that prepare you for industry-level AI development.
Throughout the course, you’ll build intelligent AI systems using modern frameworks includingOpenAI APIs, LangChain, LangGraph, MCP (Model Context Protocol), LangSmith, Vector Databases, Retrieval-Augmented Generation (RAG), and Multi-Agent Systems.
By the end of this course, you’ll be able to create AI assistants capable of
– Retrieving knowledge from documents
– Calling external tools and APIs
– Using long-term memory
– Collaborating with multiple AI agents
– Planning and executing complex workflows
– Building production-ready AI applications
– Deploying scalable Agentic AI systems
You’ll also gain practical experience with tracing, observability, evaluation, prompt engineering, embeddings, vector search, guardrails, deployment, and AI security.
Whether you’re a beginner entering the AI industry or an experienced developer looking to master the latest Agentic AI technologies, this course provides a structured roadmap from fundamentals to advanced production systems.
What You’ll Build
– Intelligent AI Chatbots
– Document Q&A Systems
– RAG Pipelines
– LangChain Applications
– LangGraph Agents
– Multi-Agent AI Systems
– AI Research Assistants
– AI Workflow Automation
– MCP Servers
– Production AI Applications
– AI Assistants with Memory
– Enterprise AI Solutions
Why Take This Course?
– Beginner-friendly with no prior AI experience required
– Hands-on coding in every section
– Real-world projects instead of toy examples
– Modern AI frameworks used in industry
– Covers the latest Agentic AI ecosystem
– Learn production-ready best practices
– Regular updates with the newest AI technologies
– Perfect for developers, students, AI engineers, and professionals
Who this course is for
Python developers looking to build AI-powered applications.
Beginners who want to start their journey in Generative AI and Agentic AI.
Software engineers interested in modern AI development.
Students exploring AI application development.
Working professionals looking to upskill in AI
Backend developers interested in integrating LLMs into applications.
AI enthusiasts who want practical, hands-on experience
Freelancers building AI solutions for clients.
Anyone curious about LangChain, LangGraph, RAG, MCP, FastAPI, and AI Agents.
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