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CI/CD for ML — Hands-On Projects
Everything you need to use CI/CD for ML with confidence
By Nikhil Jain
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Advanced
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
CI/CD for ML is one of the most useful skills in Data Science & AI today, and this course makes it approachable and practical. Through guided projects in MLOps, you'll build real understanding rather than memorising steps. Created by Nikhil Jain, the course pairs clear explanations with hands-on practice so the ideas stick. You'll come away able to apply CI/CD for ML to your own work and on job-relevant, Hyrespot-matched roles.
Curriculum
Getting Started
- Welcome and what you'll build video · 17:00 ▶ Free preview
- CI/CD for ML in 10 minutes video · 06:00 ▶ Free preview
- Your first CI/CD for ML walkthrough video · 07:00
- Hands-on exercise video · 08:00
- Building the project — part 2 video · 09:00
Core Concepts
- Hands-on exercise video · 12:00
- Building the project — part 2 video · 13:00
- Best practices from industry video · 14:00
Hands-On Practice
- Best practices from industry video · 07:00
- A real-world case study video · 08:00
- Recap and where to go next video · 09:00
- Setting up your environment video · 10:00
Building Real Projects
- Welcome and what you'll build video · 14:00
- CI/CD for ML in 10 minutes video · 15:00
- Your first CI/CD for ML walkthrough video · 16:00
- Hands-on exercise video · 17:00
- Building the project — part 2 video · 06:00
Going Deeper
- Hands-on exercise video · 09:00
- Building the project — part 2 video · 10:00
- Best practices from industry video · 11:00
Best Practices
- 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