Specify the workflow
Define actors, inputs, outputs, constraints, tools, failure modes, and measurable value before building.
AI-201 · Expert program
Turn a promising AI task into a tested workflow with grounding, structure, evaluation, and human control.
Program overview
01A good demo is not the same as a dependable workflow. Expert AI work begins when you define the input, output, knowledge source, failure modes, review rules, and evidence that the system is useful.
This course stays focused on workflow architecture rather than a single vendor. You will prototype with accessible tools and express the important logic in diagrams, schemas, test cases, and operating guidance.
The capstone is assessed on reliability and business usefulness—not how many AI features you can add.
A good fit
You already use generative AI confidently for individual tasks.
You need to design a workflow other people can operate consistently.
You want portfolio evidence for AI operations, automation, product, or innovation work.
What you’ll learn
02Each outcome is practiced inside the weekly assignments and brought together in the final project.
Define actors, inputs, outputs, constraints, tools, failure modes, and measurable value before building.
Choose source material, retrieval patterns, citation requirements, and freshness rules.
Use schemas, validation, branching, and tool calls to make outputs usable downstream.
Build representative test sets, scoring rubrics, error taxonomies, and release thresholds.
Place review, escalation, logging, monitoring, and shutdown points where risk requires them.
What the work looks like
These are working documents, not decorative portfolio screens. Each one connects to a weekly assignment and becomes part of the final project.
Define the job, required context, acceptable output, and the points where a person must review the work.
Test useful examples, edge cases, and failure conditions before calling a workflow dependable.
Document when the workflow should be used, what it cannot decide, and how exceptions are escalated.
Week by week
The suggested schedule creates momentum without pretending life is predictable. Lessons remain available if you need more time.
Specify the job, not just the instruction.
Deliverable: Workflow specification
Assessment: System framing exam
Give the workflow an explicit relationship to trusted knowledge.
Deliverable: Grounding design
Assessment: Retrieval exam
Make each step predictable enough for the next step to use.
Deliverable: Connected prototype
Assessment: Workflow mechanics exam
Test the workflow against representative work, not one impressive example.
Deliverable: Evaluation suite
Assessment: Evaluation exam
Decide what must be reviewed, logged, escalated, and stopped.
Deliverable: Operating controls
Assessment: Governance exam
Present a bounded, measurable deployment recommendation.
Deliverable: AI workflow capstone
Assessment: Final workflow defense
Final practical project
A small customer-support team needs consistent draft answers based on approved policies. The workflow must cite the source, flag uncertainty, and avoid sending anything without human approval.
This preview shows the structure—not a fabricated student result.
How you’re assessed
Your certificate records completed study and demonstrated understanding. It does not claim accreditation, licensure, or guaranteed employment.
Read the lessons, study the examples, and complete the guided weekly deliverable.
Score at least 80% on every weekly exam. Explanations and retakes support mastery.
Use the capstone checklist and rubric to produce one connected body of work.
Unlock a numbered, verifiable certificate of completion after all requirements are met.
How the learning can be used
These are realistic applications—not promises of a title, salary, client, or job offer.
Tuition
No subscription is proposed for launch. You will see the complete price before payment and the refund policy before enrollment.
Questions before you decide
No. AI Workflow Builder is fully self-paced. The recommended schedule runs for 6 weeks, but you can slow down or move ahead as your time allows.
Every week ends with a scored section exam. You need 80% to pass. After submitting, you can review explanations, return to the relevant lesson, and try again.
It records that you completed the lessons, passed all section exams, and submitted the final practical project. It is a non-credit certificate of completion, not an academic degree or professional license.
The proposed purchase includes ongoing access to the course materials and future corrections to the version you enrolled in. Final customer terms will confirm the exact access policy before paid enrollment opens.
Choose Expert if you already understand the core vocabulary and can complete routine tasks without step-by-step support. This pathway spends more time on judgment, systems, edge cases, and portfolio-quality work.