About this Course

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Course 6 of 6 in the
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Beginner Level
Approx. 16 hours to complete
English
Subtitles: English

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
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 16 hours to complete
English
Subtitles: English

Offered by

IBM logo

IBM

Syllabus - What you will learn from this course

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Week
1

Week 1

1 hour to complete

Introduction to Computer Vision

1 hour to complete
5 videos (Total 18 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

1 hour to complete
6 videos (Total 23 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

1 hour to complete
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

Week 2

3 hours to complete

Image Processing using IBM Watson and Python

3 hours to complete
3 videos (Total 15 min), 3 readings, 4 quizzes
3 videos
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
3

Week 3

4 hours to complete

Image Processing using OpenCV and Python

4 hours to complete
1 video (Total 6 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%) Image Processing using OpenCV40m
Week
4

Week 4

5 hours to complete

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

5 hours to complete
6 readings
6 readings
Project Overview30m
Task 1: Collect Images for Training and Testing your Model10m
Task 2: Training your Classifier30m
Task 3: Part A - Overview30m
Task 3: Part C - Instructions for Obtaining your API Key2m
Task 4: Testing your Classifier 10m
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....
IBM Applied AI

Frequently Asked Questions

  • 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.
  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • 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).

  • 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

  • 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.