Long before ChatGPT blasted onto the scene and sucked all the air out of the room, there was IBM Watson. Watson itself rose to fame when, in 2011, it beat reigning champion Ken Jennings on the TV game show Jeopardy.
Fun fact: ZDNET’s own Steven J. Vaughn-Nichols was once a clue on Jeopardy.
Also: The most popular AI tools of 2024 (and what that even means)
Anyway, back to our story. My point is that IBM has a long history with AI and has not been sitting still. Its generative AI solution, Watsonx, focuses on enabling businesses to deploy and manage both traditional machine learning and generative AI, tailored to their unique needs.
I’m telling you this because if any company has the credibility to offer a credential on AI fundamentals, it’s IBM.
IBM’s AI Fundamentals program is available on its SkillsBuild learning portal. The credential takes about 10 hours to complete, across six courses.
Because I have long had an interest in AI ethics (I did a thesis on AI ethics way back in the day), I took the AI ethics class. It was good.
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It discussed the challenge of balancing technology with ethical responsibility. Key topics included the five pillars of AI ethics, the importance of fairness and avoiding bias, and the need for AI systems to be transparent, explainable, and robust against attacks. The session also emphasized governance, the protection of personal data, and the significance of privacy through data minimization and differential privacy.
I subsequently took all the courses in the credential program.
Note: To get started, create a free account on IBM’s SkillsBuild learning portal. All the following links to IBM’s free AI courses require you to have created an account and be logged in before you can use them.
IBM’s free AI courses
Artificial Intelligence Fundamentals Learning Plan: You’ll explore AI’s history, and then see how it can change the world. Along the way, you’ll dive deep into ways that AI makes predictions, understands language and images, and learns using circuits inspired by the human brain. After a hands-on simulation in which you build and test a machine learning model, you’ll finish with tips on how to find your career in AI.
Introduction to Artificial Intelligence (1 hour and 15 minutes): Less than a century old, AI has already undergone three waves of transformative development. Today it gives humanity the most powerful tools for analyzing complex data, not only to find meaning but also to learn without human intervention. In this course, you’ll survey AI’s history and explore ways it can shed light on unstructured data.
Natural Language Processing and Computer Vision (1 hour and 30 minutes): You might already know that some AI systems can understand human language, identify visual images, and even create original art. But do you know how these systems do it? In this course, you’ll explore the theory of natural language and vision processing and learn how these technologies drive real-world mechanisms such as chatbots and photo analysis.
Machine Learning and Deep Learning (2 hours): In this course, you’ll see how machines can learn and make amazing, evidence-based predictions. Explore the logic behind computers’ ability to learn, then investigate new ways AI systems inspired by neurons in the human brain can solve difficult problems.
Run AI Models with IBM Watson Studio (1 hour and 45 minutes): In this course, you’ll practice creating a machine learning model in a series of simulations, using IBM Watson Studio. This is hands-on time that can help you do actual work with AI.
AI Ethics (1 hour and 45 minutes): You might have heard about problems that arise when AI systems misinterpret data or propose solutions that reflect human prejudice. This is the course I talked about above. Through real-world examples, you’ll learn about AI ethics, how they are implemented, and why AI ethics are so important in building trustworthy AI systems.
Your Future in AI: The Job Landscape (1 hour): Are you considering a career in AI? In this course, learn about the AI job market’s rapid growth and the skills needed for success in this exciting field. You’ll hear how real professionals got their start and find resources and learning opportunities that could help you work alongside them.
My experience taking IBM’s AI courses
Most sessions are a combination of reading, with a few spotlight videos thrown in. They end with a quiz. Since you can retake the quiz over and over again until you get it right, there’s no need to fear test-taking. I got most of the quizzes correct on the first try, but when my little dog distracted me, I wound up retaking one — with no negative impact on my coursework.
Also: If you want a career in AI, start with these 5 steps
Each course dives into an aspect of AI and helps explain it. Without a doubt, I have a better feel for some of the generative AI processes than I did before taking it. More to the point, the courses were interesting and the video lectures engaging. There were also some interactive experiences in the course that I found compelling.
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Most of the courses are vendor-agnostic, but there was a Watson course that was specific to IBM’s offerings. It didn’t take more than an hour or so, and while I’m not in IBM’s target market for their offering, it wasn’t a waste of time to learn what IBM has for AI-related solutions.
As I said earlier, I liked the ethics section. If you’re interested in a job in AI, you’ll like the last session, which is a full dive into what to expect if you want to work in this field. It’s worth the price of admission (even if the admission wasn’t free) for that session alone.
Also: 25 AI tips to boost your programming productivity with ChatGPT
I wound up with an official certificate, which I put on my LinkedIn profile. Overall, the course was a great experience, and I got a lot out of it.
Also: I changed 5 ChatGPT settings and instantly became more productive
A few of you asked about signing up for the course. There was some confusion because you can’t get to the course directly. Be sure to go to the main IBM SkillBuild entry portal and create an account. Once you have a verified account (it’s free), you can access the courses IBM offers.
In fact, if you visit this page (you need to be logged in), you’ll see a bunch of short, less-than-an-hour e-learning opportunities. They include:
- What is artificial intelligence?
- Introduction to Generative AI
- Mastering the Art of Prompting
- Improve Your Resume Writing with Generative AI
- Artificial Intelligence in Practice
Finally, the IBM folks asked me to tell you they also offer a free Fundamentals of Sustainability and Technology course. You can find it on SkillBuild as well. That course also offers a verifiable credential.
More resources
This is the third article in our series of free learning resources for those interested in exploring AI or building a career around this amazing technology. Be sure to check out The best free AI courses (and whether AI ‘micro-degrees’ and certificates are worth it) for the other free courses we’ve explored.
Also: The best AI chatbots of 2024: ChatGPT, Copilot, and notable alternatives
So, there you go. Sign up now and use your spare time to earn a new credential. If you take any of these courses, please report back in the comments below and let us know what you think.
You can follow my day-to-day project updates on social media. Be sure to subscribe to my weekly update newsletter on Substack, and follow me on Twitter at @DavidGewirtz, on Facebook at Facebook.com/DavidGewirtz, on Instagram at Instagram.com/DavidGewirtz, and on YouTube at YouTube.com/DavidGewirtzTV.
Artificial Intelligence
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