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.
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About this Professional Certificate
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Learner Career Outcomes
41%
Started a new career after completing this specialization.
14%
Got a pay increase or promotion.
Skills you will gain
Data ScienceDeep LearningArtificial Intelligence (AI)Machine LearningWatson AI
Learner Career Outcomes
41%
Started a new career after completing this specialization.
14%
Got a pay increase or promotion.
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 2 months to complete
Suggested 13 hours/week
English
Subtitles: English, Korean, German
What is a Professional Certificate?
Build the Skills to Get Job Ready
Whether you’re looking to start a new career, or change your current one, Professional Certificates on Coursera help you become job ready. Learn at your own pace, whenever and wherever it’s most convenient for you. Enroll today and explore a new career path with a 7 day free trial. You can pause your learning or end your subscription at any time.
Hands-On Projects
Apply your skills with hands-on projects and build a portfolio that showcases your job readiness to potential employers. You'll need to successfully finish the project(s) to earn your Certificate.
Earn a Career Credential
When you complete all of the courses in the program, you'll earn a Certificate to share with your professional network as well as unlock access to career support resources to help you kickstart your new career. Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam. You can find more information on individual Professional Certificate pages where it applies.
There are 6 Courses in this Professional Certificate
Introduction to Artificial Intelligence (AI)
2,055 ratings
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
Getting Started with AI using IBM Watson
936 ratings
In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.
Building AI Powered Chatbots Without Programming
1,015 ratings
This course will teach you how to create useful chatbots without the need to write any code.
Python for Data Science and AI
12,965 ratings
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.
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.
Frequently Asked Questions
What is the refund policy?
Can I just enroll in a single course?
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.
Is this course really 100% online? Do I need to attend any classes in person?
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.
How long does it take to complete the Specialization?
The Professional Certificate consists of 6 self-paced courses. Effort required to complete each course is 4-5 weeks if spending 2-4 hours per week. At this rate the entire specialization can be completed in 3-6 months.
What background knowledge is necessary?
This Professional Certificate is suitable for learners with both tech and non-tech background alike. The first 3 courses in the specialization 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, and introductory Python course is included.
Do I need to take the courses in a specific order?
It is highly recommended to complete the courses in the suggested order.
Will I earn university credit for completing the Specialization?
At this time there is no university credit for completing courses in this Professional Certificate.
What will I be able to do upon completing the Specialization?
Upon completing this specialization you will be able to:
- Understand what is AI, its applications & use cases, and how its transforming our lives
- Explain terms like Machine Learning, Deep Learning and Neural Networks
- Identify various Watson AI services from IBM and what they can be used for
- Narrate several applications and real life case studies involving 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.