Billed in CFA francs: 52 500 FCFA (≈ $87.99).
PAYMENT METHOD
Payment is processed in CFA francs. Payment provider transaction fees are added to the displayed amount, shown before you confirm payment.
See the course in action
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Billed in CFA francs: 52 500 FCFA (≈ $87.99).
PAYMENT METHOD
Payment is processed in CFA francs. Payment provider 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 $10.99 retake fee — see the Terms of Service.
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(estimated personal workload)
- Price
- $87.99
The program, module by module
Module 1 — MLOps Fundamentals and Model Lifecycle
Understand a model's stages, from prototype to production retirement, and why MLOps exists.
Module 2 — Containerization with Docker for AI
Package a model and its dependencies into a reproducible, lightweight Docker image.
Module 3 — Orchestration with Kubernetes
Deploy a containerized model at scale, with automatic scaling based on load.
Module 4 — Experiment Tracking with MLflow
Track, compare, and register model training runs to objectively pick the best one.
Module 5 — Data and Model Versioning with DVC
Version large datasets and training pipelines to stay reproducible.
Module 6 — Serving a Model via a Production API
Expose, protect, and make reliable a model via a robust REST API with FastAPI.
Module 7 — Continuous Integration and Deployment (CI/CD) for AI
Automate a model's tests and deployment, on every new version.
Module 8 — Final Project and Certification
CertificationDetect data/performance drift, monitor in production, and deploy a complete model graded by a mentor.
How long will it take me?
Duration: 35 h (estimated personal workload)
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 certificateHow 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 →