Multimodal AI

Vision, audio and image generation in one product.

recorded hours: 7.5
modules, in order: 5
deployed projects: 3
graded checkpoints: 4

Who it is for, and what you receive.

Developers in Python who have made one LLM API call and want a product that sees and hears.

Before you start

Python; one LLM API call before.

Skills

vision models
speech
image generation
safety

1
The recorded sessions
Taught by an instructor who does the work, taken in order at your own pace, yours for twelve months.
2
Graded work after every module
Exercises and projects marked by Nova against a rubric you can read, with what you did well and what to fix.
3
The projects
Deployed and graded, each one on your record with its repository.
4
Your hiring plan
The same six-part plan the bootcamps use, run with the career agent.
5
The record and the certificate
Every grade at square1ai.com/u/{handle}; a credential ID that resolves at square1ai.com/verify.
6
Nova as your tutor
Help that is about your actual work, because it has read all of it.

The content plan, module by module.

7.5 recorded hours from an instructor, taken in order at your own pace. Nova grades the work at the end of each module.

1
Multimodal models today
- Vision, audio, generation
- Trade-offs
- Costs
Graded
Nothing to submit; watch and take notes
60 min
2
Vision input: documents and images
- Image input
- Document understanding
- Structured extraction
Graded
A document understanding feature
90 min
3
Audio: transcription and speech
- Transcription
- Speech synthesis
- Pipelines
Graded
A transcription pipeline
90 min
4
Image generation and editing
- Generation
- Editing
- Safety checks
Graded
A generation feature with a safety check
90 min
5
Project: a multimodal product
- Build
- Evaluate
- Deploy
Graded
The product, deployed
120 min

The projects.

Each is deployed and graded by Nova against a rubric you can read before you start.

1
A document understanding feature
Extract structured data from scanned documents.
You hand in
- Feature
- Eval
The rubric requires
Extraction accuracy measured.
2
An audio pipeline
Transcribe and summarise recordings.
You hand in
- Pipeline
- Quality check
The rubric requires
Word error rate reported.
3
A multimodal product
Ship a product that sees and hears.
You hand in
- Deployed product
- Safety check
The rubric requires
Deployed with a safety check on generation.

What you can do at the end.

A product that sees and hears, and three graded projects on your record.

1
Choose among multimodal models for a task.
2
Build document and image understanding features.
3
Build audio transcription and speech pipelines.
4
Generate and edit images with a safety check.
5
Ship a multimodal product.

Roles this prepares you for

AI engineer
Product engineer (AI)

No placement rate is shown, because there are no graduates to count yet. The roles above are what the projects are built for.

Your record at the end.

Every exercise and project is graded by Nova against a rubric you can read, and every grade is kept on one page an employer can open and run. This is what the programme writes to it.

Graded, line by line: Nova reads every submission against the brief and the rubric and returns a score, what you did well and what to fix.
Module by module: Each module ends in graded work; the next opens when you are ready, on your own schedule.
Nova remembers: Help is about your actual work, because the tutor has every submission and every failed exercise of yours.
One page an employer can run: Every grade and project at /verify. An employer opens it and runs the code.

Record, Multimodal AI

Example

Project
A document understanding feature
Extraction accuracy measured.
Graded
Project
An audio pipeline
Word error rate reported.
Graded
Project
A multimodal product
Deployed with a safety check on generation.
Graded
Every module
4 graded checkpoints
Each module ends in work Nova grades line by line against a rubric you can read.
Graded
After
Your hiring plan
Target roles, the gap map, the proof to send, weekly actions and an interview log.
Kept

The entries, not the grades: those are yours to earn. The page lives at /verify and an employer needs no account to open it.

5 entries, at your own pace. One email when this course opens.

How we help you find a job.

Proof, not a certificate: the projects you deployed are the thing you show, and the tools below are yours to use.

1
Your hiring plan
The same six-part plan the bootcamps use: target roles, the gap map, the proof to send, weekly actions, an interview log, the outcome. You run it with the career agent.
2
A record an employer can run
Your graded projects on /verify. An employer opens it and runs the code.
3
The career agent
Paste a real job posting at /career and it maps the role to your graded work and what to do next.
4
The roles directory
Every role we prepare people for, what it pays and what it asks, at /roles.
5
A path to the live cohort
If you want the instructor, the gates and the hiring sprint, the bootcamp on the same subject is one waitlist away.

One email when this course opens.

Recorded by an instructor who does this work, graded by Nova. The waitlist hears the date and the price first, and nothing is charged before it exists.