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AI Engineer — Artificial Intelligence Engineer

See the course in action

🎬 Intro video coming soon.
$15

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  • All content hours, with no expiry
  • CodeLab in the browser, nothing to install
  • AI tutor available at any hour
  • AI-graded exercises
  • Final exam and verifiable certificate + an optional field challenge for the Field Practice Validated distinction

Final exam: 2 attempts, 70% pass threshold. After a second failed attempt, a deferral period applies before retrying, with a $10.99 retake fee — see the Terms of Service.

Try lesson 1 for free, no account needed

Lifetime access. No deadline: finish in 14 weeks or in ten months.

AI Engineer — Artificial Intelligence Engineer

Build, train and deploy an AI system from end to end

Level
Intermediate to advanced
Duration
14 weeks
Total hours
80 h(estimated personal workload)
Price
$15

The program, module by module

  1. Module 1

    Python for AI (Refresher)

    Isolate a project in a virtual environment, clean a dataset with Python and Pandas, and write readable, reproducible code.

  2. Module 2

    Applied Maths and Statistics for AI

    Use vectors, matrices, probability, statistics and gradients to read and explain what a model does.

  3. Module 3

    Machine Learning Fundamentals

    Train and evaluate a regression, a classifier and a clustering with Scikit-learn, without being fooled by a single number.

  4. Module 4

    Deep Learning and Neural Networks

    Explain the mechanics of a neural network, then build and tune a PyTorch training loop that exceeds 90 percent accuracy.

  5. Module 5

    LLM APIs and Integration

    Call a language model API, stream its answer, extract schema-validated structured data from it and keep its cost under control.

  6. Module 6

    Applied Computer Vision

    Adapt a pre-trained network to classify images, evaluate an object detector and frame the limits of a real use.

  7. Module 7

    NLP and Text Processing

    Tokenise and vectorise text, search a FAQ by meaning, classify reviews and design an assistant that answers from documents.

  8. Module 8

    FastAPI — Serving a Model

    Expose a classification model behind a FastAPI API that is validated, protected by a key and covered by automated tests.

  9. Module 9

    Docker and Deployment

    Put an AI API in a reproducible container, run it locally, then diagnose and fix its deployment behind a public address.

  10. Module 10

    Monitoring and Continuous Improvement

    Track the speed, data and quality of a model in production, write useful alerts and decide when and how to retrain it.

  11. Module 11

    Final Project and Certification

    Frame and link in a single application a model, an API, a database, a monitoring and a deployment, then review code like a peer.

  12. Module 12

    Career Entry and Certification

    Certification

    Present your AI projects with quantified results in a CV, a GitHub portfolio and a technical interview, without overstating your skills.

How long will it take me?

Duration: 80 h (estimated personal workload)

3 h/wk ≈ 27 wks

6 h/wk ≈ 14 wks

12 h/wk ≈ 7 wks

20 h/wk ≈ 4 wks

Estimates, not deadlines. Pause for a month and pick up where you left off.

CERTIFICATE VERIFIABLE ONLINE

What you deliver at the end

Present your AI projects with quantified results in a CV, a GitHub portfolio and a technical interview, without overstating your skills.

See a sample certificate

How certification works

Three levels, from simplest to most demanding. Each one only claims what it actually verifies.

Attendance certificate

Earned by: Modules followed

Proves: You followed the track — no graded assessment.

Certificate of achievement

Earned by: Full track completed on the platform, final project included, and final exam passed

Proves: Your knowledge and your final project, evaluated by the platform.

Field Practice Validated distinction

Earned by: A field challenge completed after the exam, in a real situation, with evidence

Proves: A CoursTech mentor reviewed and validated a genuine real-world application.

The distinction is added to your certificate of achievement — it never replaces it: nothing off-platform ever blocks the certificate itself.

Mentor support and validation: handled on request, within 72 business hours. If no mentor is active, the distinction stays open for 12 months as planned: no learner is penalized.

Mentor sessions: limited spots, on request. Reply within 48 h.

See a sample certificate with the distinction →What your certificate proves →

$15

+ payment provider fees (~4%)

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