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Rav Ahuja
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.
This course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.
Register for this course and see more details by visiting:
OpenCourser.com/course/dl279d/getting
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by experts at IBM, who developed and maintain Watson, the leading AI technology
Provides real-life client examples to demonstrate the applications and impact of AI in various industries
Develops practical skills in using multiple Watson AI services, empowering learners to build smart apps
Accessible to all, regardless of prior technical or programming experience, making it ideal for beginners
Provides hands-on labs and interactive materials to reinforce learning and demonstrate AI in action
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Reviews summary
Hands-on ibm watson ai
This course provides hands-on experience with IBM Watson's AI capabilities, enabling learners to understand and apply AI concepts. It covers a range of topics from natural language processing to machine learning, making it a valuable starting point for beginners and a source of insights into the power of AI with IBM Watson.
The course is designed for beginners and provides a comprehensive introduction to IBM Watson and its capabilities.
"Excellent intro to get familiar with IBM Watson AI services."
The course highlights the use of Watson services in specific industries, such as healthcare, finance, and retail.
"Provides adequate understanding for business leaders to set objectives and realistic, achievable goals for their organisations."
The course emphasizes practical use cases, demonstrating how AI is impacting various industries and businesses.
"There are enough exercises to keep you engaged but more concept/vision focused."
"This part of the Course is for learning the business applications and variety of services available within Watson - ideal for understanding what sort of impact AI can have on your organisation."
The course includes hands-on labs that allow learners to experiment with Watson's tools and services.
"When running into the multitude of services offered by IBM it can be discouraging and hard to understand what each service is all about."
"This course clarifies everything and shows three important things: what each service is/does, how it connects with other services to create a more complex application, and real-life, practical examples."
The course has been criticized for being too simplistic and not providing enough in-depth knowledge for experienced learners.
"It's a course focusing on IBM Watson's various services and their use cases."
"While it's good to know leading AI capabilities / possibilities through Watson, at certain points it was dull and dry for me to continue the course due to too sales pitchy"
The course has been criticized for being too focused on IBM Watson and not providing a broader perspective on AI.
"This course seems more like an advertisement for IBM Watson than an actual instruction course for it."
The course materials may not be up-to-date with the latest advancements in AI and IBM Watson.
"Course material is out of date and not consistent with what IBM Watson is currently offering."
Some reviewers have found the course to be too promotional and lacking in substance.
"The least they could do is provide access to an account more advanced than the "Lite" version available to the general public (seeing as how users pay $50 for this course) and allow the user to do more advanced tests using Watson rather than learning useless information about the companies using Watson and how it is used to operate elevators."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Getting Started with AI using IBM Watson with these
activities:
Review 'AI for Everyone' by Marr
Show steps
Prepare your mind for the foundational concepts of AI with this introductory book covering basic principles and use cases.
View
Generative AI in Practice
on Amazon
Show steps
-
Read the book chapters in order.
-
Take notes during your reading.
-
Complete the review questions at the end of each chapter.
Review basic programming concepts
Show steps
Strengthen your programming foundation to enhance your understanding and application of AI concepts.
Browse courses on
Programming
Show steps
-
Review online tutorials or books covering basic programming concepts.
-
Complete coding exercises and practice problems.
Connect with AI professionals on LinkedIn
Show steps
Expand your network and gain valuable insights by reaching out to professionals in the AI field.
Show steps
-
Search for AI professionals on LinkedIn.
-
Send personalized connection requests, introducing yourself and expressing interest in AI.
-
Follow up with your connections and ask for advice or guidance.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete Watson AI Fundamentals Tutorial Series
Show steps
Deepen your understanding of key concepts and functionalities of Watson AI through hands-on tutorials.
Browse courses on
Watson AI
Show steps
-
Create an IBM Cloud account, if you don't already have one.
-
Follow the step-by-step instructions in the tutorial series.
-
Run the code examples provided in the tutorials.
Join a study group for the course
Show steps
Enhance your learning experience by collaborating with peers, discussing course topics, and solving problems together.
Show steps
-
Find or create a study group with other students enrolled in the course.
-
Meet regularly to discuss course materials and work on assignments together.
Solve AI-related coding challenges
Show steps
Strengthen your coding skills and apply AI concepts through practical problem-solving.
Browse courses on
Artificial Intelligence
Show steps
-
Find a platform or website that offers AI-related coding challenges.
-
Select a challenge that aligns with your skill level.
-
Work through the challenge, referring to course materials and external resources as needed.
Write a blog post on an AI use case
Show steps
Reinforce your understanding by explaining an AI use case to others in a blog post, fostering clarity and retention.
Browse courses on
Artificial Intelligence
Show steps
-
Choose an AI use case that interests you.
-
Research the topic thoroughly.
-
Write the blog post, explaining the use case clearly and concisely.
-
Publish your blog post and share it with others.
Develop a prototype AI solution for a real-world problem
Show steps
Put your AI knowledge into practice by creating a tangible solution that addresses a real-world problem.
Browse courses on
Artificial Intelligence
Show steps
-
Identify a problem that can be solved using AI.
-
Design and develop an AI solution for the problem.
-
Test and evaluate the solution to ensure it meets requirements.
-
Deploy the solution and monitor its performance.
Review 'AI for Everyone' by Marr
Show steps
Prepare your mind for the foundational concepts of AI with this introductory book covering basic principles and use cases.
View
Generative AI in Practice
on Amazon
Show steps
Show steps
Show steps
- Read the book chapters in order.
- Take notes during your reading.
- Complete the review questions at the end of each chapter.
Review basic programming concepts
Show steps
Strengthen your programming foundation to enhance your understanding and application of AI concepts.
Browse courses on
Programming
Show steps
Show steps
Show steps
- Review online tutorials or books covering basic programming concepts.
- Complete coding exercises and practice problems.
Connect with AI professionals on LinkedIn
Show steps
Expand your network and gain valuable insights by reaching out to professionals in the AI field.
Show steps
Show steps
Show steps
- Search for AI professionals on LinkedIn.
- Send personalized connection requests, introducing yourself and expressing interest in AI.
- Follow up with your connections and ask for advice or guidance.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete Watson AI Fundamentals Tutorial Series
Show steps
Deepen your understanding of key concepts and functionalities of Watson AI through hands-on tutorials.
Browse courses on
Watson AI
Show steps
Show steps
Show steps
- Create an IBM Cloud account, if you don't already have one.
- Follow the step-by-step instructions in the tutorial series.
- Run the code examples provided in the tutorials.
Join a study group for the course
Show steps
Enhance your learning experience by collaborating with peers, discussing course topics, and solving problems together.
Show steps
Show steps
Show steps
- Find or create a study group with other students enrolled in the course.
- Meet regularly to discuss course materials and work on assignments together.
Solve AI-related coding challenges
Show steps
Strengthen your coding skills and apply AI concepts through practical problem-solving.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Find a platform or website that offers AI-related coding challenges.
- Select a challenge that aligns with your skill level.
- Work through the challenge, referring to course materials and external resources as needed.
Write a blog post on an AI use case
Show steps
Reinforce your understanding by explaining an AI use case to others in a blog post, fostering clarity and retention.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Choose an AI use case that interests you.
- Research the topic thoroughly.
- Write the blog post, explaining the use case clearly and concisely.
- Publish your blog post and share it with others.
Develop a prototype AI solution for a real-world problem
Show steps
Put your AI knowledge into practice by creating a tangible solution that addresses a real-world problem.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Identify a problem that can be solved using AI.
- Design and develop an AI solution for the problem.
- Test and evaluate the solution to ensure it meets requirements.
- Deploy the solution and monitor its performance.
Career center
Learners who complete Getting Started with AI using IBM Watson will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses large datasets to create advanced analytical models. This course introduces IBM Watson - a platform for building AI models. Data Scientists can use this platform to build models that predict future trends and optimize business operations.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. This course provides an introduction to IBM Watson, a platform for building and deploying AI models. Machine Learning Engineers can use this platform to build models that can be used to automate tasks, improve decision-making, and gain insights from data.
AI Engineer
AI Engineer
An AI Engineer designs, develops, and deploys AI solutions. This course provides an introduction to IBM Watson, a platform for building and deploying AI models. AI Engineers can use this platform to build and deploy AI solutions that can be used to automate tasks, improve decision-making, and gain insights from data.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to extract insights. This course provides an introduction to IBM Watson, a platform for building AI models. Data Analysts can use this platform to build models that can be used to analyze data, identify trends, and make predictions.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes to identify inefficiencies and opportunities for improvement. This course provides an introduction to IBM Watson, a platform for building AI models. Business Analysts can use this platform to build models that can be used to analyze business processes, identify inefficiencies, and make recommendations for improvement.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. This course provides an introduction to IBM Watson, a platform for building AI models. Project Managers can use this platform to build models that can be used to plan projects, track progress, and identify risks.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course provides an introduction to IBM Watson, a platform for building AI models. Software Engineers can use this platform to build models that can be used to automate tasks, improve decision-making, and gain insights from data.
Product Manager
Product Manager
A Product Manager plans, develops, and launches products. This course provides an introduction to IBM Watson, a platform for building AI models. Product Managers can use this platform to build models that can be used to identify customer needs, develop product features, and track product performance.
Marketing Manager
Marketing Manager
A Marketing Manager plans and executes marketing campaigns. This course provides an introduction to IBM Watson, a platform for building AI models. Marketing Managers can use this platform to build models that can be used to identify target audiences, develop marketing messages, and track campaign performance.
Sales Manager
Sales Manager
A Sales Manager plans and executes sales strategies. This course provides an introduction to IBM Watson, a platform for building AI models. Sales Managers can use this platform to build models that can be used to identify sales leads, develop sales pitches, and track sales performance.
Customer Success Manager
Customer Success Manager
A Customer Success Manager builds relationships with customers to ensure their satisfaction. This course provides an introduction to IBM Watson, a platform for building AI models. Customer Success Managers can use this platform to build models that can be used to identify customer needs, develop customer solutions, and track customer satisfaction.
Technical Writer
Technical Writer
A Technical Writer creates and maintains technical documentation. This course provides an introduction to IBM Watson, a platform for building AI models. Technical Writers can use this platform to build models that can be used to generate technical documentation, create training materials, and provide product support.
UX Designer
UX Designer
A UX Designer designs user interfaces for websites and applications. This course provides an introduction to IBM Watson, a platform for building AI models. UX Designers can use this platform to build models that can be used to improve the user experience of websites and applications.
Data Architect
Data Architect
A Data Architect designs and maintains data systems. This course provides an introduction to IBM Watson, a platform for building AI models. Data Architects can use this platform to build models that can be used to design and maintain data systems, ensure data quality, and improve data performance.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course provides an introduction to IBM Watson, a platform for building AI models. Database Administrators can use this platform to build models that can be used to manage and maintain databases, ensure data integrity, and improve database performance.
For more career information including salaries, visit:
OpenCourser.com/course/dl279d/getting
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Getting Started with AI using IBM Watson.
Classic textbook on artificial intelligence. It provides a comprehensive overview of the field, from its history to its current state-of-the-art. It great resource for students and researchers who want to learn more about AI.
Save
Classic textbook on deep learning. It provides a comprehensive overview of the field, from its history to its current state-of-the-art. It great resource for students and researchers who want to learn more about deep learning.
Provides a comprehensive overview of deep learning for good. It covers a wide range of topics, from the history of deep learning to its current state-of-the-art. It great resource for business leaders and decision-makers who want to learn more about how deep learning can help them make the world a better place.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It great resource for students and researchers who want to learn more about the theoretical foundations of machine learning.
Provides a comprehensive overview of deep learning in practice. It covers a wide range of topics, from the history of deep learning to its current state-of-the-art. It great resource for business leaders and decision-makers who want to learn more about how deep learning can help them achieve their goals.
Provides a comprehensive overview of machine learning for good. It covers a wide range of topics, from the history of machine learning to its current state-of-the-art. It great resource for business leaders and decision-makers who want to learn more about how machine learning can help them make the world a better place.
Provides a comprehensive overview of AI in practice. It covers a wide range of topics, from the history of AI to its current state-of-the-art. It great resource for business leaders and decision-makers who want to learn more about how AI can help them achieve their goals.
Provides a comprehensive overview of machine learning in practice. It covers a wide range of topics, from the history of machine learning to its current state-of-the-art. It great resource for business leaders and decision-makers who want to learn more about how machine learning can help them achieve their goals.
Provides a comprehensive overview of machine learning, its different types, and its applications. It great resource for beginners who want to learn more about the field.
Provides a comprehensive overview of AI, its different types, and its applications. It great resource for beginners who want to learn more about the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dl279d/getting
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Time
15 hours
Via
Coursera
Institutions
IBM
IBM Skills Network
Instructor
Rav Ahuja
This course belongs to a
collection
called
AI Foundations for Everyone. It's comprised of three courses:
- Introduction to Artificial Intelligence (AI)
- Building AI Powered Chatbots Without Programming
- Getting Started with AI using IBM Watson (viewing)
Good to know
Taught by experts at IBM, who developed and maintain Watson, the leading AI technology
Provides real-life client examples to demonstrate the applications and impact of AI in various industries
Develops practical skills in using multiple Watson AI services, empowering learners to build smart apps
Accessible to all, regardless of prior technical or programming experience, making it ideal for beginners
Provides hands-on labs and interactive materials to reinforce learning and demonstrate AI in action
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