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Hyrespot Match
Docker for ML for Developers
Master Docker for ML with hands-on projects and real-world examples
By Swati Rao
★
0.0
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Basic
English
0 learners
What you'll learn
- Understand the core concepts of Docker for ML and how they fit together
- Build hands-on projects using Docker for ML that you can add to your portfolio
- Apply Docker for ML to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Docker for ML mistakes
- Gain the confidence to use Docker for ML at work and in interviews
Skills you'll gain
Docker for ML
Practical Projects
Debugging
Best Practices
Problem Solving
MLOps
About this course
Want to get genuinely good at Docker 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. Swati Rao guides you step by step through MLOps, focusing on the skills employers actually look for. Finish ready to put Docker for ML on your resume and use it with confidence.
Curriculum
Getting Started
- Welcome and what you'll build video · 06:00 ▶ Free preview
- Docker for ML in 10 minutes video · 07:00 ▶ Free preview
- Your first Docker for ML walkthrough video · 08:00
Core Concepts
- Your first Docker for ML walkthrough video · 13:00
- Hands-on exercise video · 14:00
- Building the project — part 2 video · 15:00
- Best practices from industry video · 16:00
Hands-On Practice
- Debugging and troubleshooting video · 08:00
- Performance and optimisation video · 09:00
- Testing your work video · 10:00
- Welcome and what you'll build video · 11:00
- Docker for ML in 10 minutes video · 12:00
Building Real Projects
- Welcome and what you'll build video · 15:00
- Docker for ML in 10 minutes video · 16:00
- Your first Docker for ML walkthrough video · 17:00