Morning
9:00 am – 12:00 pm
Monday to Thursday
10 weeks
Apply for morningsEngineeringAdvanced10 weeks
MLOps & AI Engineering
Ship models to production and keep them healthy.
Next intake starts 3 November 2026
Overview
Everything between a trained model and a reliable product: APIs, containers, CI/CD, monitoring and retraining. You build a full production ML system end to end.
Who it is for
ML practitioners and software engineers moving into AI engineering.
Prerequisites
Machine Learning plus basic command line. Deep Learning helpful.
What you will be able to do
- Serve models as APIs with FastAPI and Docker
- Version data and models and automate pipelines
- Set up CI/CD and testing for ML code
- Monitor drift, performance and cost
- Deploy on AWS, GCP or Azure
Curriculum
7 modules · 10 weeks- Production ML system design
- Packaging and serving with FastAPI and Docker
- Experiment and model registries (MLflow)
- Pipelines and orchestration
- CI/CD and testing for ML
- Monitoring, drift and retraining
- Cloud deployment and cost control
Tools you will use
DockerFastAPIMLflowGitHub ActionsAWSTerraform
Final project
What you will build
A production-grade ML service with automated pipeline, monitoring and documentation.
Your project is your assessment and the start of your portfolio. Complete it to earn your certificate.
Choose your class time
Every class covers the same lessons with the same tutors. Take it on campus, live online with recordings, or mix both week by week at no extra cost.
Evening
4:00 pm – 7:00 pm
Monday to Thursday
10 weeks
Apply for eveningsWeekend
10:00 am – 2:00 pm
Saturday and Sunday
15 weeks
Apply for weekendsWeekend classes have fewer hours each week, so they run longer to cover the same course. Public holidays are made up on the following Friday. Next intake starts 3 November 2026. See all class times and intakes.
Fees and payment
Course fee₦180,000
Pay in two parts
-
1
Reserve your seatPay a 50% deposit once admissions confirms your place.₦90,000
-
2
Pay the balanceDue by the middle of the course.₦90,000
Fees shown are indicative and include course materials and certificate. Installment plans are available. Confirm current fees with admissions.
Also part of a programme
Take this course inside a programme for a personal mentor, help finding work and a lower price than taking the courses one by one.
Questions about this course
Is the online class the same as the campus class?
Yes. Same tutor, same lessons, same project and the same certificate. Online classes are live, and every class is recorded within 24 hours.
Why does the weekend class take 15 weeks?
Weekend classes run 8 hours a week instead of 12, so they take a little longer to cover the same course. Morning and evening classes take 10 weeks.
What if I miss a class?
Watch the recording, then bring your questions to mentor office hours after class. If you need a longer break, you can move to the next intake.
Can I switch between campus and online?
Yes. Choose hybrid and switch week by week. There is no extra fee.
Join the 3 November 2026 class
Apply for MLOps & AI Engineering in about five minutes. Pay ₦90,000 only after admissions confirms your seat.