This course is part of the IBM Applied AI Professional Certificate

Yi Leng Yao +1 more instructor

Offered By

IBM Applied AI Professional CertificateIBM

About this Course

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Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies. In this beginner-friendly course you will understand about computer vision, and will learn about its various applications across many industries.
As part of this course you will utilize Python, Watson AI, and OpenCV to process images and interact with image classification models. You will also build, train, and test your own custom image classifiers. 

This is a hands-on course and involves several labs and exercises. All the labs will be performed on the Cloud and you will be provided access to a Cloud environment completely free of charge. At the end of the course, you will create your own computer vision web app and deploy it to the Cloud.

This course does not require any prior Machine Learning or Computer Vision experience, however some knowledge of Python programming language is necessary.

Shareable Certificate

Earn a Certificate upon completion

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Course 6 of 6 in the

IBM Applied AI

Flexible deadlines

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Beginner Level

Approx. 16 hours to complete

English

Subtitles: French, Portuguese (Brazilian), Russian, English, Spanish

Skills you will gain

Artificial Intelligence (AI)OpencvComputer Visionwatson

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 6 of 6 in the

IBM Applied AI

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 16 hours to complete

English

Subtitles: French, Portuguese (Brazilian), Russian, English, Spanish

Instructors

Instructor rating

4.56/5 (53 Ratings)

Yi Leng Yao

MSc., Data Scientist, Software Engineer

14,640 Learners

2 Courses

Sacchit Chadha

Software Engineer @ IBM | Rising Computer Science Senior @ UWaterloo

14,640 Learners

2 Courses

Offered by

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.

Syllabus - What you will learn from this course

Content Rating93%(1,381 ratings)

Week

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.

1 hour to complete

5 videos (Total 18 min), 2 readings, 2 quizzes

5 videos

Welcome to Introduction to Computer Vision2m

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

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 instance of Watson Visual Recognition and will use it to upload images and perform image classification. Let's get started!

1 hour to complete

6 videos (Total 23 min)

6 videos

Image Classification with IBM Watson6m

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

2 practice exercises

Practice Assessment8m

Graded - (10%) Classifiers with IBM Watson VR - Part 120m

1 hour to complete

Custom Classifiers with Watson Visual Recognition

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.

1 hour to complete

3 videos (Total 8 min), 1 reading, 1 quiz

3 videos

Create, Train and Test a Visual Recognition Model2m

Classifying with Negative Examples2m

Retrain a Visual Recognition Model with Negative Images2m

1 reading

Industry Case Studies with Custom Image Classifiers10m

1 practice exercise

Graded - (10%) Classifiers with IBM Watson VR - Part 225m

Week

Week 2

3 hours to complete

Image Processing using IBM Watson and Python

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

3 hours to complete

3 videos (Total 15 min), 3 readings, 4 quizzes

3 videos

Introduction on Using the Watson APIs1m

Using Watson Visual Recognition7m

Applications of Watson Visual Recognition6m

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

Week 3

5 hours to complete

Image Processing using OpenCV and Python

This week, you will learn how to use the Haar Cascade classifiers for object 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

5 hours to complete

3 videos (Total 14 min), 2 readings, 6 quizzes

3 videos

Getting Started with OpenCV in Python6m

Object Detection with Haar Classifiers3m

Object Detection with OpenCV3m

2 readings

[Important Reminder]: Completion of Labs2m

Instruction for Obtaining your API Key2m

2 practice exercises

Practice Assessment20m

Graded - (20%) Image Processing using OpenCV40m

Week

Week 4

5 hours to complete

Project: Building a Web-Based Computer Vision App using IBM Cloud

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!

5 hours to complete

1 practice exercise

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About the IBM Applied AI Professional Certificate

Artificial intelligence (AI) is transforming our world. Whether you’re a student, a 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 developer.

This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions. Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions. In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
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.
What will I be able to do after completing this course?
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
Are there any software or hardware pre-requistes for this course?
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).
Are there any pre-requisties or prior experience necssary for this course?
Some programming knowledge, especially with Python is needed to complete this course. The following course equips you with the necessary Python background:
- Python for Data Science
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Introduction to Computer Vision with Watson and OpenCV