About this Course
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Beginner Level

Approx. 13 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

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 13 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

This short module will introduce you to the field of computer vision. We will cover the course expectations and highlight how computer vision is making an impact across various industries. You will also be introduced to the tools used in computer vision.

...
4 videos (Total 16 min), 2 readings, 2 quizzes
2 readings
Welcome2m
Articles10m
2 practice exercises
Practice Assessment8m
Graded - (10%) Overview of Computer Vision and its Applications20m
1 hour to complete

Classifiers with IBM Watson Visual Recognition (VR) - Part 1

In this module, we start by introducing the topic of image classification. We will then talk about Watson Visual Recognition, an industry-leading service provided by IBM that is used for image classification. Finally, you will create your own instance of Watson Visual Recognition and will use it to upload images and perform image classification. Let's get started!

...
6 videos (Total 24 min), 1 reading, 2 quizzes
6 videos
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

Classifiers with IBM Watson Visual Recognition (VR) - Part 2

This module delves deeper into IBM Watson's image classifiers. You will learn to create a custom classifier in your Visual Recognition Instance and will train and test your custom classifier to classify dog images into different breeds.

...
3 videos (Total 8 min), 2 readings, 1 quiz
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

Face Detection and Image Processing using IBM Watson and Python

This week, you will learn about image processing and face detection. You will then use Python and the Watson Visual Recognition API to perform image classification.

...
4 videos (Total 23 min), 3 readings, 4 quizzes
3 readings
[Important Reminder] : Completion of Labs2m
Instruction for Obtaining your API Key2m
Articles10m
2 practice exercises
Practice Assessment20m
Graded - (20%) Face Detection and Image Processing using IBM Watson40m
Week
3
4 hours to complete

Face Detection and Image Processing using OpenCV and Python

This week, you will learn how to use the Haar Cascade classifiers for detecting eyes and faces in images. You will then do a variety of hands-on labs that will teach you how to perform license plate recognition using the Tesseract OCR, colour quantization, image compression, and image processing. While completing these labs, you will also learn how to use the OpenCV package in Python

...
3 videos (Total 22 min), 2 readings, 5 quizzes
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

In the final week of this course, you will build a computer vision app that you will deploy on the web. For the project, you will create a custom classifier, train it and connect it to your app. You will then deploy your app to the cloud for making it accessible to anyone around the globe!

...
2 readings, 2 quizzes
2 readings
Project: How to deploy your VR Classifier10m
Instruction for Obtaining your API Key2m

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....

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 OpenC

    ●      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. Instrcutions for no-charge access to IBM Cloud is provided. You will require a modern web browser (i.e. recent versions of Chrome or Firefox).

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