AI Agents in Practice
347 pages | 5 parts | 16 chapters
Develop the conceptual and practical foundation for agent roles, tools, behavior, testing, and operation.
Explore the Book
AI Agents
Design AI agents with clear goals, tools, boundaries, and oversight
Move beyond the idea of an autonomous digital worker and learn to create goal-directed AI components that operate responsibly inside a visible system.
Your professional outcome
Build capability around a clear goal
A practical agent needs more than a role name. It needs a defined objective, relevant context, appropriate tools, permissions, completion criteria, checkpoints, failure behavior, and a surrounding workflow.
Why this Path matters
Give your next move a stronger foundation
An agent can take multiple actions and therefore magnify both useful work and mistakes. Autonomy without boundaries can create operational, data, or trust problems. Purposeful design keeps agency connected to accountability.
You are building the ability to specify, test, and integrate a bounded AI agent into real work.
What you learn
Turn understanding into action
Define the agent’s goal, role, inputs, outputs, and limits.
Choose appropriate tools and information.
Reason about context, memory, and state.
Break complex goals into inspectable actions.
Place approval and escalation points according to consequences.
Evaluate behavior across success, ambiguity, and failure.
Integrate agents into larger automation systems.
The Books in this Path
Connected foundations. One professional outcome
Build depth in each subject, then connect what you learn through AI Agents.
AI Automation Systems
381 pages | 5 parts | 16 chapters
Place the agent inside triggers, integrations, data movement, monitoring, and operational controls.
Explore the BookHow the Books connect
Stronger together
One Book focuses on the intelligent actor. The other focuses on the system around it. Together they turn an agent from a demonstration into an accountable part of real work.
Who this Path is for
Bring your context to the learning
Builders, automation specialists, consultants, operations and product professionals, and learners ready to move beyond single-turn AI use.
Professional applications
Put it to work
- Create a research agent with reviewed output.
- Design support triage with escalation.
- Coordinate specialized agents.
- Build an internal operations agent with restricted tools.
- Decide that a simpler automation is the better choice.
Career connection
Part of a larger professional capability
This Path develops the agent capability of AUTOMATE and connects architecture from BUILD with implementation and adoption concerns in LAUNCH.
Explore the CareerYour transformation
Design agency without abandoning accountability
You should be able to define what an agent should do, what it may access, how it should be evaluated, where people remain involved, and how it fits the larger workflow.
Our Methodology
A clear progression from learning individual skills (books) to building complex abilities (learning paths and academies) and an entire career around them.
A group of books builds learning paths; a group of learning paths builds Academies; and a group of Academies builds the AI Strategist & Builder Career.
- Books
Learn a specific skill or topic
- Learning Paths
Achieve a specific goal
- Academies
Master a specialty
- Career
Become an AI Strategist & Builder
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