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Design agent workflows with explicit state, bounded tool access, evaluation and human review instead of unrestricted autonomous actions.

Explore tool schemas, MCP client/server boundaries and reliable agent integration with local services and least-privilege access.

Build retrieval-augmented assistants with permitted documents, transparent citations, uncertainty handling and reproducible retrieval evaluation.

Design repeatable LLM evaluations, failure-aware application behavior and privacy-conscious observability with clear quality and resource tradeoffs.

Explore clear task instructions, structured outputs and evidence checks for generative AI using non-sensitive examples and explicit human review.
Browse the available collection by learning area and starting level.

Design agent workflows with explicit state, bounded tool access, evaluation and human review instead of unrestricted autonomous actions.

Explore tool schemas, MCP client/server boundaries and reliable agent integration with local services and least-privilege access.

Build retrieval-augmented assistants with permitted documents, transparent citations, uncertainty handling and reproducible retrieval evaluation.

Design repeatable LLM evaluations, failure-aware application behavior and privacy-conscious observability with clear quality and resource tradeoffs.

Explore clear task instructions, structured outputs and evidence checks for generative AI using non-sensitive examples and explicit human review.
Illustrative learner goals — not testimonials or verified learner outcomes.
“I want to build an AI workflow with clear tool boundaries and an evaluation plan.”

Illustrative learner persona
AI learner
Agent workflows & evaluation
“I want to turn an app idea into accessible screens and a reliable data flow.”

Illustrative learner persona
Software learner
Accessible apps & reliable APIs
“I want to understand defensive controls through an owned or explicitly authorized lab.”

Illustrative learner persona
Cybersecurity learner
Authorized labs & network defense
“I want to automate a repeatable task with validation, safe retries and human review.”

Illustrative learner persona
Automation learner
Safe workflows & human review
Suggested illustrative pathways, not accredited qualifications or employment guarantees.

Plan bounded assistants, evidence-grounded retrieval and repeatable model evaluation.
Explore AI & Agents coursesExplore AI & Vision coursesConnect accessible interfaces, application state and tested APIs in a practical development pathway.
Explore Software & Mobile coursesExplore authorized defensive labs, secure application boundaries and reproducible deployment planning.
Explore Cybersecurity coursesExplore Cloud & Data coursesFEATURED AI LEARNING COLLECTION
Explore generative AI, retrieval-grounded assistants, bounded agents and reliability evaluation in a practical learning plan.
Illustrative course pathway — not a scheduled program or certificate.
Explore AI courses
Design agent workflows with explicit state, bounded tool access, evaluation and human review instead of unrestricted autonomous actions.

Explore tool schemas, MCP client/server boundaries and reliable agent integration with local services and least-privilege access.

Build retrieval-augmented assistants with permitted documents, transparent citations, uncertainty handling and reproducible retrieval evaluation.

Design repeatable LLM evaluations, failure-aware application behavior and privacy-conscious observability with clear quality and resource tradeoffs.

Explore clear task instructions, structured outputs and evidence checks for generative AI using non-sensitive examples and explicit human review.