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AI-201 · Expert program

AI Workflow Builder

Turn a promising AI task into a tested workflow with grounding, structure, evaluation, and human control.

Recommended pace8–10 weeksWeekly study8–10 hrs/weekTuition$229 USDFormatSelf-paced
A professional using an AI workspace on a laptop
EMPLOYER NETWORKPractical work designed for conversations with hiring teams.
US EMPLOYERSAGENCIESSMALL BUSINESSESNONPROFITSPartnership approach

Program overview

01

What this course is really about.

A 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

This course is likely right for you if…

  • 01

    You already use generative AI confidently for individual tasks.

  • 02

    You need to design a workflow other people can operate consistently.

  • 03

    You want portfolio evidence for AI operations, automation, product, or innovation work.

What you’ll learn

02

What you should be able to do by the end.

Each outcome is practiced inside the weekly assignments and brought together in the final project.

01

Specify the workflow

Define actors, inputs, outputs, constraints, tools, failure modes, and measurable value before building.

02

Ground outputs in knowledge

Choose source material, retrieval patterns, citation requirements, and freshness rules.

03

Create structured and connected steps

Use schemas, validation, branching, and tool calls to make outputs usable downstream.

04

Evaluate reliability

Build representative test sets, scoring rubrics, error taxonomies, and release thresholds.

05

Design human control

Place review, escalation, logging, monitoring, and shutdown points where risk requires them.

What the work looks like

Three outputs you will learn to build and explain.

These are working documents, not decorative portfolio screens. Each one connects to a weekly assignment and becomes part of the final project.

OUTPUT 01AI-201

Workflow specification

Define the job, required context, acceptable output, and the points where a person must review the work.

01Input contract02Output format03Human owner
OUTPUT 02AI-201

Evaluation set

Test useful examples, edge cases, and failure conditions before calling a workflow dependable.

01Test case02Pass condition03Failure action
OUTPUT 03AI-201

Operating guide

Document when the workflow should be used, what it cannot decide, and how exceptions are escalated.

01Use case02Known limit03Escalation path

Week by week

Your complete study plan.

The suggested schedule creates momentum without pretending life is predictable. Lessons remain available if you need more time.

Week 1

From prompt to system

Specify the job, not just the instruction.

+
LESSONS COVER
  • Workflow requirements
  • Actors and steps
  • Failure modes
  • Value measures
  • Prototype boundaries
WEEKLY WORK

Deliverable: Workflow specification

Assessment: System framing exam

Week 2

Grounding and retrieval

Give the workflow an explicit relationship to trusted knowledge.

+
LESSONS COVER
  • Source preparation
  • Retrieval patterns
  • Chunking concepts
  • Citations
  • Freshness and access
WEEKLY WORK

Deliverable: Grounding design

Assessment: Retrieval exam

Week 3

Structured outputs and tools

Make each step predictable enough for the next step to use.

+
LESSONS COVER
  • Schemas
  • Validation
  • Tool selection
  • Branching
  • Fallback behavior
WEEKLY WORK

Deliverable: Connected prototype

Assessment: Workflow mechanics exam

Week 4

Evaluation

Test the workflow against representative work, not one impressive example.

+
LESSONS COVER
  • Test-set design
  • Rubrics
  • Automated checks
  • Human scoring
  • Error analysis
WEEKLY WORK

Deliverable: Evaluation suite

Assessment: Evaluation exam

Week 5

Human control and governance

Decide what must be reviewed, logged, escalated, and stopped.

+
LESSONS COVER
  • Review thresholds
  • Escalation
  • Privacy
  • Monitoring
  • Change control
WEEKLY WORK

Deliverable: Operating controls

Assessment: Governance exam

Week 6

Business case and launch

Present a bounded, measurable deployment recommendation.

+
LESSONS COVER
  • Cost and value
  • Adoption
  • Pilot design
  • Documentation
  • Launch decision
WEEKLY WORK

Deliverable: AI workflow capstone

Assessment: Final workflow defense

Final practical project

A tested internal knowledge workflow

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.

What you will submit

  • Requirements and risk brief
  • Source and retrieval plan
  • Structured output schema
  • Working prototype
  • 25-case evaluation set
  • Error analysis
  • Human-control policy
  • Pilot recommendation
FINAL SUBMISSION
AI-201

A tested internal knowledge workflow

Prepared by
Your name
01Requirements and risk brief
02Source and retrieval plan
03Structured output schema
04Working prototype
0525-case evaluation set

This preview shows the structure—not a fabricated student result.

How you’re assessed

You have to do the work—not just play the videos.

Your certificate records completed study and demonstrated understanding. It does not claim accreditation, licensure, or guaranteed employment.

1

Learn and practice

Read the lessons, study the examples, and complete the guided weekly deliverable.

2

Pass each section

Score at least 80% on every weekly exam. Explanations and retakes support mastery.

3

Finish the project

Use the capstone checklist and rubric to produce one connected body of work.

4

Receive the record

Unlock a numbered, verifiable certificate of completion after all requirements are met.

How the learning can be used

Where these skills show up.

These are realistic applications—not promises of a title, salary, client, or job offer.

At work

AI operations specialistAutomation analystAI product associateInnovation analystSolutions consultant

In a business

Prototype internal AI safelyEvaluate vendor demosCreate a bounded pilotMeasure output qualityDocument governance for a team

Tuition

Straightforward pricing.

No subscription is proposed for launch. You will see the complete price before payment and the refund policy before enrollment.

EXPERT PROGRAM · AI-201

AI Workflow Builder

$229USD
  • 8–10 weeks recommended pace
  • All written lessons and resources
  • Weekly section exams and retakes
  • Practical capstone project
  • Certificate of completion
Enroll nowPreview the classroom before enrollment →

Questions before you decide

Course FAQs

Is this course live or instructor-led?+

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.

How do the exams work?+

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.

What does the certificate represent?+

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.

How long will I have access?+

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.

Is the expert level right for me?+

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.