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.


https://rapidgator.net/file/39d461b17279ed0961124cbccfd4e525/Agentic_AI_Bootcamp_Build_AI_Agents_with_LangGraph.part4.rar.html
https://rapidgator.net/file/72d32ec2c5a9979b5f10e4c555208e54/Agentic_AI_Bootcamp_Build_AI_Agents_with_LangGraph.part3.rar.html
https://rapidgator.net/file/9612f5fa19fc8a66a03007039a898b59/Agentic_AI_Bootcamp_Build_AI_Agents_with_LangGraph.part2.rar.html
https://rapidgator.net/file/e63c46f0d12246b6d7122f89c2d6e4ef/Agentic_AI_Bootcamp_Build_AI_Agents_with_LangGraph.part1.rar.html