Learn Docker for ML from Scratch
Data Science & AI MLOps Hyrespot Match

Learn Docker for ML from Scratch

Everything you need to use Docker for ML with confidence

By Kavitha Raman 0.0 (0 ratings) 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

This course is a hands-on, project-driven introduction to Docker for ML, part of our Data Science & AI track. Designed for learners in India and beyond, every concept is taught with practical examples and exercises you can add to your portfolio. Taught by Kavitha Raman, it starts from the fundamentals and builds toward real-world, job-ready skills in MLOps. By the end you'll have the confidence to apply Docker for ML at work, in interviews, and on Hyrespot-matched roles.

Curriculum

Getting Started

  • Welcome and what you'll build video · 15:00 ▶ Free preview
  • Docker for ML in 10 minutes video · 16:00 ▶ Free preview
  • Your first Docker for ML walkthrough video · 17:00

Core Concepts

  • Your first Docker for ML walkthrough video · 10:00
  • Hands-on exercise video · 11:00
  • Building the project — part 2 video · 12:00
  • Best practices from industry video · 13:00

Hands-On Practice

  • Debugging and troubleshooting video · 17:00
  • Performance and optimisation video · 06:00
  • Testing your work video · 07:00
  • Welcome and what you'll build video · 08:00
  • Docker for ML in 10 minutes video · 09:00

Building Real Projects

  • Welcome and what you'll build video · 12:00
  • Docker for ML in 10 minutes video · 13:00
  • Your first Docker for ML walkthrough video · 14:00