Udemy - Defending Agentic AI - Securing MCP and Pipelines Mastery torrent

Defending Agentic AI: Securing MCP & Pipelines Mastery
https://WebToolTip.com
Published 9/2026

Created by Bayt Al Hikmah

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Level: All Levels | Genre: eLearning | Language: English | Duration: 112 Lectures ( 26h 14m ) | Size: 1.2 GB
What you'll learn

⚡ Architect a hardened MCP gateway from scratch

⚡ Defend against the real MCP threat taxonomy

⚡ Enforce identity and least privilege

⚡ Build structured trust boundaries

⚡ Orchestrate autonomous pipelines safely

⚡ Instrument the system for real observability

⚡ Harden the supply chain and deployment

⚡ Govern data the way regulated AI systems must

⚡ Engineer for reliability

⚡ Deliver a capstone-grade Sovereign MCP Defense Platform
Requirements

❗ Knowledge: Basic Python (functions, running scripts) and basic terminal comfort. No prior MCP, agentic AI, or security experience required — Module 1 builds everything from a bare workstation up. No prior exposure to LangGraph, CrewAI, or agent orchestration frameworks needed — this course builds the state-machine, approval-gate, and policy patterns from first principles in plain Python, transferable to whatever framework you use in production. No prior Kubernetes or DevSecOps experience required — Module 7 builds those skills using manifests and a local-cluster-compatible design. Software (all free/open-source): Docker, Git, Python 3.12. Python packages installed via pip in Lab 3: FastAPI, Uvicorn, Pydantic, pytest,httpx — all free and open-source. kubectl (optional, for Module 7's Kubernetes manifests) — no cloud account required. No paid AI API required. The entire course builds MCP-style tool servers, gateways, and orchestration logic using deterministic Python — every attack, defense, and policy decision is fully reproducible without spending money on model calls. Hardware: 10GB+ free disk space, 4GB+ RAM sufficient for most modules (Docker containers for later labs). No cloud account, no production AI system, and no real sensitive data required — every lab uses synthetic tool manifests, synthetic documents, and self-contained attack fixtures you build yourself.
Description

This course contains the use of artificial intelligence.