Udemy - Modern Agentic AI - MCP, RAG, AI Agents, LangGraph and Wo...

Modern Agentic AI: MCP, RAG, AI Agents, LangGraph & Workflow

https://WebToolTip.com

Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 50m | Size: 1.53 GB

From AI Tutorials to Production AI Systems: Build Agents, RAG, MCP, LangGraph & Sovereign Platforms

What you'll learn
Architect complete Agentic AI platforms using modern production-grade design patterns.
Build AI agents that reason, plan, call tools, collaborate, and execute multi-step workflows.
Master Retrieval-Augmented Generation (RAG) systems using vector databases, hybrid search, and enterprise knowledge architectures.
Design and implement Model Context Protocol (MCP) clients, servers, gateways, and tool ecosystems.
Develop advanced LangGraph workflows with state management, human approval loops, and failure recovery.
Deploy local and cloud-native LLM infrastructure using Docker, Kubernetes, Ollama, and GitOps practices.
Implement enterprise security controls including RBAC, OAuth2, audit logging, governance, and compliance frameworks.
Create observability and evaluation pipelines using OpenTelemetry, tracing, monitoring, and AI quality assessment techniques.
Engineer multi-agent systems capable of autonomous research, documentation, compliance, and operational decision support.
Design, build, secure, and deploy a Sovereign Multi-Agent Intelligence Platform as a portfolio-grade capstone project.

Requirements
Technical Requirements
A computer running Windows, Linux, or macOS
Minimum 16 GB RAM recommended
Internet connection for downloading software and models
Python 3.12 or newer
Docker Desktop or Docker Engine
Visual Studio Code (recommended)
Git and GitHub account
Basic terminal/command-line usage