Kickstart your career in artificial intelligence. Learn Python, build a chatbot, explore machine learning and computer vision, and leverage IBM Watson.

Rav Ahuja +6 more instructors

Offered By

IBM Applied AI Professional CertificateIBM

What you will learn

Understand the definition of AI, its applications and use cases, and explain terms like machine learning, deep learning, and neural networks

Create AI chatbots and virtual assistants without any programming and deploy them on a website

Build AI-powered solutions using IBM Watson AI services, APIs, and Python with minimal coding

Apply computer vision techniques using Python, OpenCV, & Watson and develop custom image classification models and deploy them to the Cloud

Skills you will gain

Data ScienceDeep LearningArtificial Intelligence (AI)JobsMachine LearningApplication Programming Interfaces (API)watsonPython ProgrammingData AnalysisPandasNumpyApplication development

About this 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.

Applied Learning Project

This Professional Certificate contains a number of hands-on learning projects that will help develop your understanding of AI concepts and tools. Projects include building your own AI chatbot; practicing Python for data science; building, training, and testing your own custom image classifiers; and creating your own computer vision web application and deploying it to the Cloud.

Learner Career Outcomes

26%

Started a new career after completing this specialization.

15%

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

No prior experience required.

Approximately 7 months to complete

Suggested pace of 3 hours/week

English

Subtitles: English, Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, Spanish

Learner Career Outcomes

26%

Started a new career after completing this specialization.

15%

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

No prior experience required.

Approximately 7 months to complete

Suggested pace of 3 hours/week

English

Subtitles: English, Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, Spanish

There are 7 Courses in this Professional Certificate

Course1

Course 1

Introduction to Artificial Intelligence (AI)

4.7

stars

7,025 ratings

•

1,550 reviews

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.

Course2

Course 2

Getting Started with AI using IBM Watson

4.5

stars

2,003 ratings

•

392 reviews

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.

Course3

Course 3

Building AI Powered Chatbots Without Programming

4.8

stars

1,842 ratings

•

412 reviews

This course will teach you how to create useful chatbots without the need to write any code.

Leveraging IBM Watson's Natural Language Processing capabilities, you'll learn how to plan, implement, test, and deploy chatbots that delight your users, rather than frustrate them. True to our promise of not requiring any code, you'll learn how to visually create chatbots with Watson Assistant (formerly Watson Conversation) and how to deploy them on your own website through a handy WordPress plugin. Don't have a website? No worries, one will be provided to you. Chatbots are a hot topic in our industry and are about to go big. New jobs requiring this specific skill are being added every day, consultants demand premium rates, and the interest in chatbots is quickly exploding. Gartner predicts that by 2020, 85% of customer interactions with the enterprise will be through automated means (that's chatbots and related technologies). Here is your chance to learn this highly in demand set of skills with a gentle introduction to the topic that leaves no stone unturned.

Course4

Course 4

Python for Data Science, AI & Development

4.6

stars

20,204 ratings

•

3,207 reviews

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.

This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career. This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs: IBM Applied AI Professional Certificate Applied Data Science Specialization IBM Data Science Professional Certificate Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field.

Instructors

Offered by

IBM

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

Frequently Asked Questions

What is the refund policy?
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.
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 can I earn my IBM Badge?
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
What are some examples of careers in artificial intelligence?
An 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
How long does it take to complete this Professional Certificate?
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.
What background knowledge is necessary?
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.
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 this Professional Certificate?
At this time there is no university credit for completing courses in this Professional Certificate.
What will I be able to do upon completing 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.

IBM Applied AI Professional Certificate

What you will learn

Skills you will gain

About this Professional Certificate

Applied Learning Project

There are 7 Courses in this Professional Certificate

Course 1

Introduction to Artificial Intelligence (AI)

Course 2

Getting Started with AI using IBM Watson

Course 3

Building AI Powered Chatbots Without Programming

Course 4

Python for Data Science, AI & Development

Instructors

Rav Ahuja

Antonio Cangiano

Joseph Santarcangelo

Ramesh Sannareddy

Tanmay Bakshi

Yi Leng Yao

Sacchit Chadha

Offered by

IBM

Frequently Asked Questions

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IBM Applied AI Professional Certificate

What you will learn

Skills you will gain

About this Professional Certificate

Applied Learning Project

There are 7 Courses in this Professional Certificate

Course 1

Introduction to Artificial Intelligence (AI)

Course 2

Getting Started with AI using IBM Watson

Course 3

Building AI Powered Chatbots Without Programming

Course 4

Python for Data Science, AI & Development

Instructors

Rav Ahuja

Antonio Cangiano

Joseph Santarcangelo

Ramesh Sannareddy

Tanmay Bakshi

Yi Leng Yao

Sacchit Chadha

Offered by

IBM

Frequently Asked Questions

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Top Online Courses

Top Online Specializations

Online Certificates

Online Degree Programs

Coursera

Community

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