CoursTech

Certified training

Master
MLOps & Déploiement des Modèles IA

Deploy and run at scale

Practical skills for the AI era

Cloud • DevOps • Scalability

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165 000 FCFA

PAYMENT METHOD

Price shown and payment processed in CFA francs. FedaPay transaction fees are added to the displayed amount, shown before you confirm payment.

See the course in action

165 000 FCFA

Payment provider fees (Mobile Money, about 4%) are added at checkout.

By purchasing, you agree to our Terms of Sale.

PAYMENT METHOD

Price shown and payment processed in CFA francs. FedaPay transaction fees are added to the displayed amount, shown before you confirm payment.

  • 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 retake fee — see the Terms of Service.

Open module 1 for free

Lifetime access. No deadline: finish in 7 weeks or in ten months.

MLOps & AI Model Deployment

Industrialize the lifecycle of artificial intelligence models

Level
Intermediate
Duration
7 weeks
Total hours
35 h
Price
165 000 FCFA

The program, module by module

  1. Module 1 — MLOps Fundamentals and Model Lifecycle

    Understand a model's stages, from prototype to production retirement, and why MLOps exists.

  2. Module 2 — Containerization with Docker for AI

    Package a model and its dependencies into a reproducible, lightweight Docker image.

  3. Module 3 — Orchestration with Kubernetes

    Deploy a containerized model at scale, with automatic scaling based on load.

  4. Module 4 — Experiment Tracking with MLflow

    Track, compare, and register model training runs to objectively pick the best one.

  5. Module 5 — Data and Model Versioning with DVC

    Version large datasets and training pipelines to stay reproducible.

  6. Module 6 — Serving a Model via a Production API

    Expose, protect, and make reliable a model via a robust REST API with FastAPI.

  7. Module 7 — Continuous Integration and Deployment (CI/CD) for AI

    Automate a model's tests and deployment, on every new version.

  8. Module 8 — Final Project and Certification

    Certification

    Detect data/performance drift, monitor in production, and deploy a complete model graded by a mentor.

How long will it take me?

3 h/wk ≈ 12 wks

6 h/wk ≈ 6 wks

12 h/wk ≈ 3 wks

20 h/wk ≈ 2 wks

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

CERTIFICATE VERIFIABLE ONLINE

What you deliver at the end

Detect data/performance drift, monitor in production, and deploy a complete model graded by a mentor.

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.

See a sample certificate with the distinction →