About this Course
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Beginner Level

Approx. 14 hours to complete

Suggested: 4 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)...

English

Subtitles: English

Skills you will gain

Artificial Intelligence (AI)OpencvComputer Visionwatson

Course 6 of 6 in the

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 14 hours to complete

Suggested: 4 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Introduction to Computer Vision

5 videos (Total 19 min), 2 readings, 2 quizzes
5 videos
Introduction to Computer Vision4m
Applications of Computer Vision3m
Recent Research in Computer Vision4m
Brainstorming Your Own Applications3m
2 readings
Welcome2m
Articles10m
2 practice exercises
Practice Assessment8m
Graded - (10%) Overview of Computer Vision and its Applications20m
1 hour to complete

Image Classification with IBM Watson

6 videos (Total 24 min), 1 reading, 2 quizzes
6 videos
Watson Visual Recognition in Action2m
Getting Started with Watson Visual Recognition2m
Classification with Watson Visual Recognition2m
Working with Custom Classifiers5m
Custom Image Classifiers with IBM Watson4m
1 reading
LAB: Classifying Images with IBM Watson30m
2 practice exercises
Practice Assessment8m
Graded - (10%) Classifiers with IBM Watson VR - Part 120m
1 hour to complete

Custom Classifiers with Watson Visual Recognition

3 videos (Total 8 min), 2 readings, 1 quiz
3 videos
Classifying with Negative Examples2m
Retrain a Visual Recognition Model with Negative Images2m
2 readings
Industry Case Studies with Custom Image Classifiers10m
LAB: Testing and Training a Custom Classifier30m
1 practice exercise
Graded - (10%) Classifiers with IBM Watson VR - Part 225m
Week
2
4 hours to complete

Image Processing using IBM Watson and Python

4 videos (Total 23 min), 3 readings, 4 quizzes
4 videos
Using Watson Visual Recognition10m
Applications of Watson Visual Recognition6m
Using the Watson VR API with Python4m
3 readings
[Important Reminder] : Completion of Labs2m
Instruction for Obtaining your API Key2m
Articles10m
2 practice exercises
Practice Assessment20m
Graded - (20%) Image Processing using IBM Watson40m
Week
3
4 hours to complete

Face Detection and Image Processing using OpenCV and Python

3 videos (Total 22 min), 2 readings, 5 quizzes
3 videos
Detecting Faces with Cascade Filters9m
Detecting Eyes with Cascade Filters6m
2 readings
[Important Reminder]: Completion of Labs2m
Instruction for Obtaining your API Key2m
2 practice exercises
Practice Assessment20m
Graded - (20%) Face Detection and Image Processing using OpenCV40m
Week
4
3 hours to complete

Project: Building a Web-Based Computer Vision App

2 readings, 3 quizzes
2 readings
Project: How to deploy your VR Classifier10m
Instruction for Obtaining your API Key2m
1 practice exercise
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4.5
20 ReviewsChevron Right

Top reviews from Introduction to Computer Vision with Watson and OpenCV

By MONov 13th 2019

Thoroughly enjoyed this course. Learned about OpenCV a bit and added to my small knowledge of Python. The ability to know how to train Watson to do optical recognizition will be invaluable.

By SSAug 20th 2019

This is one of the best course by IBM. I specifically enjoyed Computer Vision modelling and its related project and also enjoyed the way team put in effort for designing this course.

Instructors

Avatar

Yi Leng Yao

MSc., Data Scientist, Software Engineer
IBM Skills Network
Avatar

Sacchit Chadha

Software Engineer @ IBM | Rising Computer Science Senior @ UWaterloo

About IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

About the IBM Applied AI Professional Certificate

Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer. It will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web. Rather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions....
IBM Applied AI

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • After completing this course you will be able to:

    ●      explain what computer vision is and its applications

    ●      understand the roles of Python, OpenCV and IBM Watson in computer vision

    ●      classify images utilizing IBM Watson, Python, and OpenCV

    ●      build and train custom image classifiers using Watson Visual Recognition API

    ●      process images in Python using OpenCV

    ●      create an interactive computer vision web application and deploy it to the cloud

  • No specialized hardware or software is required to complete this course. You will perform all labs and projects in a cloud environment and work with Python in Jupyter Notebooks, OpenCV, and IBM Watson Visual Recognition. Instructions for no-charge access to IBM Cloud is provided. You will require a modern web browser (i.e. recent versions of Chrome or Firefox).

More questions? Visit the Learner Help Center.