CRIBI Academy Course
AI Deployment & MLOps
A practical CRIBI Academy course on deploying AI systems, APIs, machine learning workflows, cloud infrastructure, and production-ready AI applications.
Audience
Developers, computer science students, startups, innovators, engineers, and technical teams
Duration
4–6 weeks depending on delivery format
Mode
In-person, hybrid, or online
Certification
Certificate of Participation issued by CRIBI, Kenya Methodist University
Course Overview
Building AI models is only one part of the modern AI ecosystem. Real-world value comes from deploying, managing, scaling, monitoring, and maintaining AI systems in production environments. This practical CRIBI Academy course introduces participants to AI deployment pipelines, APIs, cloud infrastructure, model serving, and modern MLOps workflows. Participants will gain hands-on exposure to deploying AI applications using Flask, FastAPI, Docker, cloud platforms, APIs, and production-oriented workflows. The course bridges the gap between AI experimentation and real-world operational systems, helping participants understand how modern AI products are built, deployed, monitored, and maintained. The training also introduces practical concepts in scalable AI architecture, deployment automation, inference systems, monitoring, infrastructure thinking, and production readiness. By the end of the course, participants will understand how to transition AI systems from development environments into usable products and operational services.
Course Preview
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Who Should Attend
Learning Outcomes
Tools & Skills Covered
Course Outline
Module 1
Introduction to AI Deployment and MLOps
Module 2
Building APIs for AI Applications
Module 3
Flask and FastAPI for Production Systems
Module 4
Docker and Containerized AI Workflows
Module 5
Cloud Infrastructure and Deployment Fundamentals
Module 6
Model Serving, Inference Pipelines, and AI Architecture
Module 7
Monitoring, Scaling, and Operational AI Systems
Module 8
Capstone Practical: Deploy a Functional AI Application
Practice
Labs And Applied Work
Available in the learner area
Lab 1
Introduction to AI Deployment and MLOps
Lab 2
Building APIs for AI Applications
Lab 3
Flask and FastAPI for Production Systems
Lab 4
Docker and Containerized AI Workflows
Lab 5
Cloud Infrastructure and Deployment Fundamentals
Delivery Assets
Notes, Slides And Downloads
Each CRIBI Academy course is designed to ship with learner notes, instructor slides, lab workbooks, assessment rubrics, handouts, and video scripts. Public visitors see the asset list; approved learners receive the files inside the course area.
Learner notes
Structured reading notes and key concepts for each module
Unlocks after enrollment
Slide deck
Instructor-ready presentation slides for classroom delivery
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Lab workbook
Step-by-step practical exercises and submission tasks
Unlocks after enrollment
Assessment rubric
Criteria for quizzes, assignments, labs, and capstone review
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Instructor handouts
Teaching prompts, facilitation notes, and discussion guides
Unlocks after enrollment
Video scripts
Lecture scripts prepared for AI voice or recorded delivery
Unlocks after enrollment
Ready to Join?
Register your interest in this CRIBI Academy short course. The programme can be delivered to students, staff, faculty, industry teams, partner institutions, startups, and professional groups.