About this course
Develop a clear vocabulary for artificial intelligence, machine learning and generative AI. This free IBM video course combines introductory explainers, use cases and discussions of limitations. It helps beginners compare approaches and understand where human judgment remains important, without requiring coding or advanced mathematics.
What you can learn
- AI fundamentals
- Machine-learning concepts
- Deep learning
- Generative and predictive AI
- AI use-case recognition
- AI limitations
Course at a glance
| Provider | IBM |
|---|---|
| Platform | YouTube · IBM Technology |
| Access | Free Video |
| Level | Beginner — WikiFree audience assessment |
| Language | English |
| Selected lessons | 69 |
| Video duration | 11h 45m · allow extra time for reflection and practice |
| Details checked | 9 October 2026 |
Inside the course
Start with a map of modern AI concepts and their history. Compare machine learning, deep learning and foundation models, then examine everyday uses, common myths and the distinction between automation and augmentation.
Try this learning exercise
Choose five everyday tasks and classify them as possible prediction, generation, fixed-rule automation or human decision tasks. Explain the data and evaluation questions you would need before applying AI to each.
How to follow the course
Choose a lesson from the list or search for a specific topic. Use Previous and Next to continue, and mark lessons complete as you go. Progress is saved in this browser without a WikiFree account.
Each course retains its relevant lessons, including videos also used in another course. Numbered series follow their original lesson or part order. Only reviewed advertisements, unrelated items and identical repeated playlist entries are excluded. Source recordings may have been made at different times.
Unavailable recordings are listed in Course content. Known lesson titles are retained; when the source hides a title or position, this is stated explicitly. Unavailable videos are not included in the video duration.
Free access, requirements and certificates
The selected public YouTube videos are free to watch. No paid subscription, payment card or examination is required for this video learning path. WikiFree independently organizes IBM Technology explainers and tutorials for self-paced study. This listing is not an official IBM qualification and does not include an IBM certificate, graded assignment or instructor feedback.
Suitable for beginners. No software installation, AI subscription or programming experience is required.
Official IBM Technology playlist source ↗
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Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free AI Fundamentals Course: Machine Learning and Generative AI | Beginner | AI fundamentals · Machine-learning concepts · Deep learning | 11h 45m of video; practice time is additional |
| Free Machine Learning Models Course: Training and Evaluation | Intermediate | Supervised and unsupervised learning · Gradient descent · Overfitting and underfitting | 6h 28m of video; practice time is additional |
| Introduction to AI and Machine Learning on Google Cloud | Beginner | AI project planning · Machine learning fundamentals · Generative AI | 8 hours; provider full-course estimate, including practical activities. |
| Free AI Fundamentals Course: Machine Learning Concepts | Beginner | Understand the purpose of machine learning · Explore how a model learns from examples · Recognize a classification problem | 34m of video; practice time is additional |
Provider: IBM. Videos play from the IBM Technology channel on YouTube.
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