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AI Agents: Architecting and Automating Autonomous Systems

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A premium, complete AI Agents and Automation course, updated for 2026. Covers the fundamentals of autonomous AI agents, reasoning architectures (ReAct, Plan-and-Execute, Reflexion, Chain-of-Thought, Tree-of-Thought), function calling and tool use, memory and state management, frameworks and SDKs (LangGraph, OpenAI Agents SDK, CrewAI, Claude Agent SDK, Google ADK), the Model Context Protocol (MCP) and building custom servers, workflow automation (n8n, Make.com, Zapier Central, custom Python engines), agentic design patterns (Router, Evaluator-Optimizer, Parallelization, Human-in-the-Loop, multi-model orchestration), advanced security (prompt injection, guardrails, sandboxing, EU AI Act and GDPR compliance), semantic observability (Langfuse, LangSmith, tracing, LLM-as-a-Judge), automated testing (eval sets, CI/CD), deployment strategies (Shadow Mode, Canary, Gradual Rollout), scaling and cost optimization, plus a complete hands-on multi-agent system project.

11 modules
30 lessons
~26h duration
v1.0 version
AI professor An AI agent built into every lesson — ask questions and get instant answers based on the course content
Hands-on exercises Real scenarios and practical exercises directly on the platform, with instant feedback
Progress & analytics A personal dashboard with statistics, streaks, scores and structured learning paths
Interactive AI quizzes Questions generated by AI and adapted to your level, with detailed explanations
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What you will learn

Practical skills you gain by completing this course

Fundamentals of Autonomous AI Agents
Memory, State and Advanced Reasoning
Frameworks and SDKs for AI Agents
Model Context Protocol (MCP) and Interoperability
Workflow Automation with AI
Agentic Design Patterns for Production
Security, Guardrails and Compliance
Observability, Evaluation and Testing
Deployment and Scaling in Production
Case Studies and Hands-On Project
Final Quiz — AI Agents and Automation

Who it is for

Developers Software engineers Solution architects CTOs / Tech Leads Data Scientists ML Engineers DevOps Engineers

Recommended level

Advanced

Assumes hands-on experience with AI and complex scenarios.

Updates

Regular

Content updated regularly with the latest practices from the industry.

Category

IT & Engineering

A technical course for IT professionals — available with individual course access or the IT Pro / All Access bundle.

Advanced level

Hands-on experience required

Assumes practical experience with AI. Covers complex scenarios and advanced strategies.

Always up to date

Up-to-date content

The course is updated regularly with the latest information, tools and practices from the industry.

Practical and applied

30 lessons with real examples

Each lesson includes practical scenarios, actionable checklists and quizzes to check your understanding.

Curriculum

11 modules, 30 lessons — structured to learn step by step.

11 modules
30 lessons
~26h of content
Interactive quizzes
Free preview available What Are AI Agents — From Copilot to Autonomous Systems in 2026
Read the preview
1 Free preview lesson What Are AI Agents — From Copilot to Autonomous Systems in 2026
Read the preview
2 The Architecture of Thinking: ReAct, Plan-and-Execute, and Reflexion
55 min
3 Perception and Action: Function Calling and the Tool Ecosystem
55 min
1 Memory Architecture: How Agents Think Long-Term
55 min
2 Advanced Reasoning: Chain-of-Thought, Tree-of-Thought, and Self-Consistency
55 min
3 Hierarchical Planning and Decomposing Complex Tasks
55 min
1 The LangChain Ecosystem and the Evolution Toward LangGraph
55 min
2 OpenAI Agents SDK: Native Multi-Agent Architecture
55 min
3 CrewAI and Multi-Agent Systems: Managing Digital Teams
55 min
4 Anthropic Claude Agent SDK and Google ADK: Enterprise Alternatives
55 min
1 Model Context Protocol (MCP): Standardizing AI Connections
55 min
2 Building Custom MCP Servers: A Complete Practical Guide
55 min
3 The MCP Ecosystem: Popular Servers and Enterprise Integrations
55 min
1 n8n — Self-Hosted AI Automation: Architecture and Implementation
55 min
2 Make.com and Zapier Central: No-Code Automation in the AI Era
55 min
3 Custom Workflow Engines with Python: Absolute Control
55 min
1 Agentic Design Patterns: Router, Evaluator, and Parallelization
55 min
2 Human-in-the-Loop and Enterprise Approval Workflows
55 min
3 Multi-Model Orchestration: Intelligent LLM Routing
55 min
1 AI Agent Security: Attack Vectors and Defence in Depth
55 min
2 Advanced Guardrails, Sandboxing, and AI Act Compliance
55 min
1 Semantic Observability: Tracing, Metrics, and Alerting
55 min
2 Automated Testing for AI Agents: Eval Sets and CI/CD
55 min
3 LLM-as-a-Judge and Continuous Evaluation in Production
55 min
1 Deployment Strategies: Shadow Mode, Canary, and Instant Rollback
55 min
2 Scaling, Cost Optimization, and Multi-Region Architectures
55 min
1 Hands-On Project: Build a Complete Multi-Agent System
55 min
2 AGENTS.md: The Open Standard for Guiding Coding Agents
16 min
3 Official Resources, 2026 Updates, and Learning Paths
22 min
1 Final Assessment — AI Agents and Automation 2026
30 min
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30 hands-on lessons Content updated regularly AI professor included in your subscription