Description
Agentic AI Bootcamp: Build AI Agents with LangGraph is a course on building intelligent, stateful, and reliable AI agents using LangGraph and modern large language model technologies published by Udemy Online Academy. Designed for AI engineers, Python developers, software engineers, and developers transitioning to agentic AI, this bootcamp covers the complete process of designing agent workflows, connecting tools, managing state and memory, managing multi-stage tasks, and coordinating multiple agents. Participants will explore LangGraph principles, graph-based agent architectures, tool invocation, structured outputs, human-in-the-loop workflows, persistence, recovery-augmented generation (RAG), agent evaluation, and production deployment.
In this course, you’ll start with the basics of AI, machine learning, deep learning, transformers, and large language models, and then move on to advanced Agentic AI architectures used by leading AI companies today. Each core 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 will build intelligent AI systems using modern frameworks including OpenAI APIs, LangChain, LangGraph, MCP (Model Context Protocol), LangSmith, vector databases, Retrieval Augmented Generation (RAG), and multi-agent systems.
What you will learn in Agentic AI Bootcamp: Build AI Agents with LangGraph:
- 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.
- and …
Course specifications
Publisher: Udemy
Instructors: Ahmed Mahi
Language: English
Level: Introductory to Advanced
Number of Lessons: 34
Duration: 6h 21m
Course topics
Agentic AI Bootcamp: Build AI Agents with LangGraph Prerequisites
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.
Pictures
Agentic AI Bootcamp: Build AI Agents with LangGraph introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
2.9 GB