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Forward AI Academy · FA-501

Building with AI: No-Code Apps and Automations

Ship a working internal tool: forms, data, logic, notifications, and the automations that remove a weekly chore.

Course facts

Track
Building with AI
Level
Intermediate
Length
8 weeks
Commitment
7 hours
Format
Single course
Delivery
Online, live sessions plus self-paced work
Fee
Fee confirmed before the first cohort
You earn
Verified micro-credential: Building with AI
More Building with AI courses

The Course Handbook is a PDF you can keep: course facts, learning outcomes, the full week by week syllabus, assessment weightings and the spoken defence. Or print this page straight from your browser for the same layout.

Why this course exists

Ship a working internal tool: forms, data, logic, notifications, and the automations that remove a weekly chore. At Forward this is taught from inside an institution that runs on these systems every day, so the course teaches the working practice rather than the marketing. It sits in Building with AI, aimed at makers, founders, operations people. You are expected to be comfortable with the tools of your own trade. We move at working pace.

Who it is for

  • · Makers, founders, operations people
  • · People already doing this work who want it done properly
  • · Anyone who needs evidence of capability, not a certificate of attendance
  • · Forward University and Forward College applicants building a case for recognition of prior learning

Not for you if

  • · You want a certificate without building anything.
  • · You cannot commit 7 hours a week for 8 weeks.
  • · You are looking for an NCHE-accredited award. This is a professional micro-credential, and we say so in public.
  • · You already do this professionally and want a research-level treatment.

Entry: No formal entry requirements, but you will get far more out of this if you have already used AI tools for real work, or completed an Introductory Academy course.

What you will be able to do

  1. 01Explain, in your own words and to a sceptical colleague, what this course covers and where it stops.
  2. 02Work confidently with scoping something small enough to finish.
  3. 03Work confidently with data and logic.
  4. 04Work confidently with interface and flow.
  5. 05Work confidently with adding intelligence.
  6. 06Work confidently with automation and agents.
  7. 07Produce the course project: A deployed app in use by at least one real user, with a short handover note.
  8. 08Judge when to use these methods, when to refuse, and who remains accountable for the output.
  9. 09Carry the work forward into building with ai at Forward, or into a longer path.

The full syllabus, week by week

Every week has one live session, self-paced material, and a build task that becomes part of your final project. Nothing here is a reading list.

  1. Week 1

    Scoping something small enough to finish

    One user, one job, one screen. The scope discipline that makes shipping possible.

    You do
    Write the one-sentence scope and the list of things you will not build.
    Checkpoint
    A short build task, marked against the published rubric before the next live session.
  2. Week 2

    Scoping something small enough to finish

    One user, one job, one screen. The scope discipline that makes shipping possible.

    You do
    Write the one-sentence scope and the list of things you will not build.
    Checkpoint
    A short build task, marked against the published rubric before the next live session.
  3. Week 3

    Data and logic

    Modelling the data, the states it moves through and the rules that govern it.

    You do
    Model the data and the happy path end to end.
    Checkpoint
    A short build task, marked against the published rubric before the next live session.
  4. Week 4

    Interface and flow

    Forms, lists, feedback and the errors a real user will hit first.

    You do
    Build the interface and watch one person use it without help.
    Checkpoint
    A short build task, marked against the published rubric before the next live session.
  5. Week 5

    Adding intelligence

    Where a model earns its place in the product and where it is decoration.

    You do
    Add one AI feature and measure whether it improved anything.
    Checkpoint
    A short build task, marked against the published rubric before the next live session.
  6. Week 6

    Adding intelligence

    Where a model earns its place in the product and where it is decoration.

    You do
    Add one AI feature and measure whether it improved anything.
    Checkpoint
    A short build task, marked against the published rubric before the next live session.
  7. Week 7

    Automation and agents

    Triggers, retries, guardrails and monitoring so the thing can be trusted alone.

    You do
    Wire the automation and log a deliberate failure.
    Checkpoint
    A short build task, marked against the published rubric before the next live session.
  8. Week 8

    Shipping and handover

    Deploying, documenting and handing the tool to someone who did not build it.

    You do
    Deploy for a real user and write the handover note.
    Checkpoint
    Project submitted, then the spoken defence with a human assessor.
Save the whole syllabus and the learning outcomes as a PDF, or print this page.

The project, and how it is marked

You build: A deployed app in use by at least one real user, with a short handover note.

30%

Weekly build tasks

Small pieces of the project, submitted each week and marked against a published rubric. Late is fine; missing is not.

50%

The course project

A deployed app in use by at least one real user, with a short handover note.

20%

Spoken defence

About fifteen minutes with a human assessor, who asks you why you made the choices you made. Mastery, not averaging: you may re-sit the defence.

The spoken defence

  • · Fifteen minutes, online, with a human assessor.
  • · You show the thing you built and answer why, not what.
  • · Mastery standard: if you do not meet it, you re-sit rather than average out.
  • · The result and the assessor are recorded on your verified credential.

How Musomesa helps

  • · Available every hour of the week, and it has read the same course material you have.
  • · It will not hand you the answer to a graded task. It will ask you what you have tried.
  • · It flags when your reasoning is confident and wrong, which is the whole point of the course.
  • · Your instructor sees the same progress signals, so the live session starts where you actually are.

What you need

  • A no-code builder
  • An automation tool
  • A general-purpose AI assistant
  • Musomesa, your Forward AI tutor

Who teaches FA-501, and how to get help

FA-501 is taught by a small team rather than one overloaded lecturer. This is an intermediate course, so your lead instructor teaches from current practice rather than slides. Your named team is confirmed by email before the cohort opens; the roles and the hours below are fixed.

Lead Instructor

A working practitioner in building with ai, teaching this course alongside their own practice.

  • · Runs the weekly live session and answers questions in it
  • · Sets and reviews the weekly build task
  • · Holds one evening office hour every week of the course

Promise: Reads and responds to every question raised in the live session or the cohort channel.

Studio Coach

A Forward coach attached to your cohort for the whole course, not per session.

  • · One-to-one help when a build task stalls
  • · Weekend office hour for learners in other timezones or on shift work
  • · Keeping your project on track for the 8-week deadline

Promise: If you are stuck for more than 48 hours, the coach reaches out to you first.

Assessment Examiner

An examiner who did not teach you, so marking is independent of teaching.

  • · Marks the project against the published weightings
  • · Runs your short spoken defence
  • · Issues the verified micro-credential to your Achievement Wallet

Promise: Written feedback with every mark, and a stated route to a second opinion.

Musomesa, your AI tutor

Available on this course at any hour, on top of the human team above, never instead of it.

  • · Answers course questions between sessions, in context of this syllabus
  • · Walks you through worked examples at your pace
  • · Flags to your Studio Coach when you are repeatedly stuck

Promise: Musomesa never marks your work and never issues your credential. People do that.

Office hours

WhenTimeWhoFormat
Every Tuesday18:00 – 19:30 EATLead InstructorOpen video room. Bring your build task, no agenda needed, drop in and out.
Every Thursday10:00 – 11:30 EATStudio CoachBookable 20-minute one-to-one slots for anything you would rather not ask in a group.
Any day24 hoursMusomesaChat tutor inside the course, grounded in this syllabus and your own submitted work.
Defence weekBooked with youAssessment ExaminerA short spoken defence of your project, scheduled around your timezone in week 8.

All times are East Africa Time (UTC+3). If you are outside East Africa, tell your Studio Coach at enrolment and the weekend slot is moved into your working day, not ours.

How to get help

Cohort channel
Course questions, tool problems, sharing progress with the rest of the cohort.
Response: Same day on weekdays, from an instructor or coach.
Musomesa, in-course tutor
Explanations, worked examples, unblocking a build task at 2am.
Response: Immediate, any hour.
Office hours
Anything that needs a person looking at your actual work with you.
Response: Twice a week, every week of the course.
Academy support email
Enrolment, fees, cohort dates, access problems, credentials, deferrals.
Response: Two working days, with the reference from your enrolment.

If you get stuck, in order

  1. 01Ask Musomesa first. Most blockers are explained in under a minute.
  2. 02Still stuck after a day? Post in the cohort channel so the instructor and your peers both see it.
  3. 03Still stuck at the next office hour? Bring the work itself, not a summary of it.
  4. 04Unhappy with a mark or the course? Email Academy support and ask for the Assessment Examiner's second-opinion route. It is a published process, not a favour.

Named instructors, their biographies and cohort-specific hours are published with each cohort as it opens. We do not list staff on a course page before they are contracted to teach it.

Questions people ask about FA-501

Are there any prerequisites for FA-501?
No formal qualifications are required for Academy courses. No formal entry requirements, but you will get far more out of this if you have already used AI tools for real work, or completed an Introductory Academy course.
How much time does the course take each week?
Building with AI: No-Code Apps and Automations runs for 8 weeks at 7 hours a week. Each week has one live session, self-paced material, and a build task that becomes part of your final project.
How is the course assessed?
There are no exams. You are assessed on weekly build tasks (30%), the course project (50%), spoken defence (20%), including a short spoken defence of the project you build.
How does Musomesa support me on the course?
Musomesa, Forward's AI tutor, works alongside your human instructor. Available every hour of the week, and it has read the same course material you have.
What does FA-501 cost?
Fee confirmed before the first cohort. No payment is taken when you enrol; the Academy team confirms the fee and your cohort start date by email.

Learning paths that include FA-501

A path is three courses taken in order with one combined Statement of Capability at the end. These are the paths recommended for a intermediate course in this track.

20 weeks · includes this course

The Builder Path

For: Founders, operations leads and people who fix things

FA-501 is one of the three courses on this path.

Sequence: FA-101 → FA-501 → FA-505

See this pathEnrol on the path

18 weeks · next step

The Analyst Path

For: Officers, coordinators and managers who live in spreadsheets

Stacks this intermediate work into a full path with a combined Statement of Capability.

Sequence: FA-101 → FA-401 → FA-405

See this pathEnrol on the path

Next-step courses after FA-501

Chosen for the same track at the next level up, so nothing you learn here is repeated.

FA-505Advanced

Agents That Do the Boring Part

Designing, constraining and monitoring agentic workflows, including the guardrails that keep them from acting on a bad assumption.

Length
8 weeks
Commitment
7 to 8 hours

You build: One monitored agent workflow running against a real process, with a failure log.

You earn: Verified micro-credential: Agentic Automation

View full courseEnrol