Long before ChatGPT blasted onto the scene and sucked all the air out of the room, there was IBM Watson. Watson itself blasted 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.
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 is called Watsonx. It focuses on enabling businesses to deploy and handle both traditional machine learning and generative AI, tailored to their unique needs.
Also: AI in 2023: A year of breakthroughs that left no human thing unchanged
I’m telling you this because if any company has the cred to offer a credential on AI fundamentals, it’s IBM.
IBM’s AI Fundamentals program is built inside of its SkillsBuild learning portal. The credential takes about ten hours to complete, across six courses.
Because I have had a long 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.
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’ll probably take the rest of the courses over the holiday break.
To get started, create a free account on IBM’s SkillsBuild learning portal. All of the following links to IBM’s free AI courses necessitate you to have created that account and logged in before you’ll be able to use them.
Artificial Intelligence Fundamentals Learning scheme: In this learning scheme, you’ll explore AI’s history, and then see how it can change the world. Along the way, you’ll deep dive 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 evaluate a machine-learning model, you’ll finish with tips on how to find your career in AI.
Introduction to Artificial Intelligence (1 hour 15 mins): 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 that it can shed light on unstructured data.
Natural Language Processing and Computer Vision (1 hour 30 mins): You might already know that some AI systems can grasp human language, acknowledge 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 research new ways that AI systems inspired by neurons in the human brain can resolve difficult problems.
Run AI Models with IBM Watson Studio (1 hour and 45 mins): In this course, you’ll practice creating an AI 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 mins): You might have heard about problems that arise when AI systems misinterpret data or suggest solutions that ponder 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.
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. I also explored Amazon’s free AI courses and free AI courses from OpenAI and DeepLearning.
So there you go. Sign up now and use your holiday time to get a new credential. If you take any of these courses, please report back below in the comments and let us know what you think. And stay tuned. I expect to furnish more resources early in 2024 for you to continue your free AI learning journey.
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