Data Science & AI
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MLOps
Master CI/CD for ML in 2026
Learn CI/CD for ML by building real things, step by step
By Arjun Mehta
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English
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What you'll learn
- Understand the core concepts of CI/CD for ML and how they fit together
- Build hands-on projects using CI/CD for ML that you can add to your portfolio
- Apply CI/CD for ML to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common CI/CD for ML mistakes
- Gain the confidence to use CI/CD for ML at work and in interviews
Skills you'll gain
CI/CD for ML
Practical Projects
Debugging
Best Practices
Problem Solving
MLOps
About this course
Want to get genuinely good at CI/CD for ML? This practical course in our Data Science & AI track takes you from the essentials to applied, real-world skills. You'll learn by building — not just watching — with downloadable resources and exercises throughout. Arjun Mehta guides you step by step through MLOps, focusing on the skills employers actually look for. Finish ready to put CI/CD for ML on your resume and use it with confidence.
Curriculum
Getting Started
- Welcome and what you'll build video · 14:00 ▶ Free preview
- CI/CD for ML in 10 minutes video · 15:00 ▶ Free preview
- Your first CI/CD for ML walkthrough video · 16:00
- Hands-on exercise video · 17:00
- Building the project — part 2 video · 06:00
Core Concepts
- Hands-on exercise video · 09:00
- Building the project — part 2 video · 10:00
- Best practices from industry video · 11:00
Hands-On Practice
- Best practices from industry video · 16:00
- A real-world case study video · 17:00
- Recap and where to go next video · 06:00
- Setting up your environment video · 07:00
Building Real Projects
- Welcome and what you'll build video · 11:00
- CI/CD for ML in 10 minutes video · 12:00
- Your first CI/CD for ML walkthrough video · 13:00
- Hands-on exercise video · 14:00
- Building the project — part 2 video · 15:00
Going Deeper
- Hands-on exercise video · 06:00
- Building the project — part 2 video · 07:00
- Best practices from industry video · 08:00
Best Practices
- Best practices from industry video · 13:00
- A real-world case study video · 14:00
- Recap and where to go next video · 15:00
- Setting up your environment video · 16:00