Agent Workflow Architecture: Instructions, Tools, and Orchestration Design
Learn to architect how a multi-step AI agent workflow actually runs: decomposing a goal into steps, scoping instructions and tools per step and role, modeling workflow states and plans, choosing and justifying an orchestration pattern, designing retries and partial-completion recovery, architecting long-running workflows, and writing an engineering handoff specification an implementation team could build from.
By the end of this Course, you can decompose a multi-step agent workflow into steps, roles, and instruction scopes; specify callable-tool boundaries and workflow states; choose and justify an orchestration pattern; design retry, partial-completion, and long-running behavior; and assemble a complete engineering handoff specification an implementation team could build from.
Curriculum
3 Levels · 30 LessonsEach Lesson may include a Quiz
Each Level may include an Exam
Complete the available Lessons
Pass all configured Quizzes and Exams
Locked activities open only after their prerequisites are met
Completed Course progress automatically counts toward the Career Path when this Course belongs to a Mission.
- Builds one practiced workflow-architecture judgment across 30 bilingual Lessons
- Keeps every architectural decision tied to a real step boundary, tool scope, or failure mode, never a decorative diagram
- Separates what a workflow specification actually decides from what a clean diagram would prefer to imply, at every step
- Uses scenario-based assessments to rehearse the real judgment calls of a working Agentic Experience Designer's workflow-architecture practice
- UX/Product Designers moving from single-turn agentic UX into multi-step, multi-tool agent workflow architecture
- Designers preparing a workflow specification an engineering team will actually implement
- Product teams deciding how a workflow's steps should be sequenced, parallelized, or checkpointed
- Anyone responsible for what a multi-step agent does across tools, time, and failure conditions
- 3 progressive Levels and 30 substantive bilingual Lessons
- 30 Lesson Quizzes with 10 scenario-based questions each
- 3 Level Exams with 15 transfer questions each
- One structurally validated Practice Task specifying a complete multi-step agent workflow with orchestration, retry, and handoff design
Awarded after the Course's configured completion requirements are met.