About this Professional Certificate

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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.
Learner Career Outcomes
41%
Started a new career after completing this specialization.
14%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 7 months to complete
Suggested 3 hours/week
English
Subtitles: English, Korean, Vietnamese, German
Learner Career Outcomes
41%
Started a new career after completing this specialization.
14%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 7 months to complete
Suggested 3 hours/week
English
Subtitles: English, Korean, Vietnamese, German

There are 6 Courses in this Professional Certificate

Course1

Course 1

Introduction to Artificial Intelligence (AI)

4.7
stars
4,570 ratings
1,026 reviews
Course2

Course 2

Getting Started with AI using IBM Watson

4.5
stars
1,625 ratings
312 reviews
Course3

Course 3

Building AI Powered Chatbots Without Programming

4.8
stars
1,621 ratings
349 reviews
Course4

Course 4

Python for Data Science and AI

4.6
stars
18,030 ratings
2,785 reviews

Offered by

IBM logo

IBM

Frequently Asked Questions

  • 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.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • Upon completion of the program, you will receive an email from Acclaim with your IBM Badge recognizing your expertise in the field. Some badges are issued almost immediately after completion of the badge activities, while others may take 1-2 weeks before they are issued. Once issued, you will receive a notification email from admin@youracclaim.com with instructions for claiming the badge. Learn more about IBM Badges 

  • A​n understanding of artificial intelligence can be used to support many careers, but some careers specifically require a background in AI. Some examples of careers in AI include:

    -​ AI Developer

    -​ Data Analyst

    -​ Data Engineer

    -​ Data Scientist

    -​ Machine Learning Engineer

    -​ Marketing Analyst

    -​ Operations Analyst

    -​ Quantitative Analyst

    -​ Software Analyst

    -​ Software Developer

    -​ Software Engineer

    -​ User Experience Engineer

  • The Professional Certificate consists of 6 self-paced courses. Each course takes 4-5 weeks to complete if you spend 2-4 hours working through the course per week. At this rate, the entire Professional Certificate can be completed in 3-6 months. However, you are welcome to complete the program more quickly or more slowly, depending on your preference.

  • This Professional Certificate is suitable for learners with both technical and non-technical backgrounds. The first 3 courses in the program do not require any programming. The final two courses require some knowledge of Python to build and deploy AI applications. For learners without any programming background, an introductory Python course is included.

  • It is highly recommended to complete the courses in the suggested order.

  • At this time there is no university credit for completing courses in this Professional Certificate.

  • Upon completing this specialization you will be able to:

    • Understand what is AI, its applications & use cases, and how it is transforming our lives
    • Explain terms like machine learning, deep learning, and neural networks
    • Identify various Watson AI services from IBM and their uses
    • Narrate several applications and real life case studies involving IBM Watson
    • Describe how AI-powered chatbot technology works and its applications
    • Create a customer support chatbot and deploy it to a website
    • Practice basics of Python programming language using Jupyter notebooks
    • Apply Python programming concepts for data science and AI
    • Utilize multiple Watson AI services and APIs together to build smart applications
    • Deploy speech enabled virtual assistants with domain intelligence to Facebook, etc.
    • Explain what computer vision is and its applications
    • Build and train custom image classifiers using Watson, Python and OpenCV
    • Create an interactive computer vision web application and deploy it to the Cloud

More questions? Visit the Learner Help Center.