Agentic AI course
Agentic AI training: build systems that plan, act, and learn.
Learn the architecture behind reliable AI agents: tools, memory, planning, orchestration, MCP, evaluation, guardrails, and multi-agent systems built for production.
Quick answer
What is this page about?
Learn the architecture behind reliable AI agents: tools, memory, planning, orchestration, MCP, evaluation, guardrails, and multi-agent systems built for production. The pathway is intended for developers, product builders, and technical professionals and emphasizes practical application over passive theory.
What you will learn
From understanding to application.
Understand the difference between chatbots, workflows, and autonomous agents
Connect agents to tools, APIs, data, and secure actions
Design memory and context strategies for useful long-running tasks
Build planning, orchestration, evaluation, and guardrail loops
Prototype multi-agent systems with MCP and production architecture
The curriculum
A focused, useful sequence.
Learn the right concepts in the right order, then put them to work on a portfolio-ready project.
Agent fundamentals, task loops, and autonomy
Live instruction, guided practice, and feedback.
Tools, function calling, APIs, and action safety
Live instruction, guided practice, and feedback.
Memory, context engineering, and state
Live instruction, guided practice, and feedback.
Planning, orchestration, and workflow design
Live instruction, guided practice, and feedback.
MCP, evaluation, observability, and guardrails
Live instruction, guided practice, and feedback.
Capstone: build and test a production-minded AI agent
Live instruction, guided practice, and feedback.
Frequently asked
Start with clarity.
Agentic AI training: build systems that plan, act, and learn. focuses on practical skills, current AI workflows, responsible use, and outcomes learners can explain and apply.
Find your path
Which AI course is right for you?
Answer four quick questions and get a practical recommendation, learning roadmap, and next step.
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