Data Science & AI
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Deep Learning
Bestseller
Modern Computer Vision: Real-World Skills
Everything you need to use Computer Vision with confidence
By Meera Iyer
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Intermediate
English
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What you'll learn
- Understand the core concepts of Computer Vision and how they fit together
- Build hands-on projects using Computer Vision that you can add to your portfolio
- Apply Computer Vision to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Computer Vision mistakes
- Gain the confidence to use Computer Vision at work and in interviews
Skills you'll gain
Computer Vision
Practical Projects
Debugging
Best Practices
Problem Solving
Deep Learning
About this course
Computer Vision is one of the most useful skills in Data Science & AI today, and this course makes it approachable and practical. Through guided projects in Deep Learning, you'll build real understanding rather than memorising steps. Created by Meera Iyer, the course pairs clear explanations with hands-on practice so the ideas stick. You'll come away able to apply Computer Vision to your own work and on job-relevant, Hyrespot-matched roles.
Curriculum
Getting Started
- Welcome and what you'll build video · 13:00 ▶ Free preview
- Computer Vision in 10 minutes video · 14:00 ▶ Free preview
- Your first Computer Vision walkthrough video · 15:00
- Hands-on exercise video · 16:00
Core Concepts
- Common patterns in practice video · 08:00
- Building the project — part 1 video · 09:00
- Debugging and troubleshooting video · 10:00
- Performance and optimisation video · 11:00
- Testing your work video · 12:00
Hands-On Practice
- Performance and optimisation video · 15:00
- Testing your work video · 16:00
- Welcome and what you'll build video · 17:00
Building Real Projects
- Welcome and what you'll build video · 10:00
- Computer Vision in 10 minutes video · 11:00
- Your first Computer Vision walkthrough video · 12:00
- Hands-on exercise video · 13:00
Going Deeper
- Common patterns in practice video · 17:00
- Building the project — part 1 video · 06:00
- Debugging and troubleshooting video · 07:00
- Performance and optimisation video · 08:00
- Testing your work video · 09:00