AI and machine learning courses
Data science, AI and machine learning
Gain skills and practical project experience that are essential for everyone – yes, everyone. Whether you’re an AI consumer, business leader, programmer or statistician, AI and machine learning are becoming part of everyday life. Whatever your math or computer science background, we have a track for you.
Select a learning path below to get started.
AI Literacy for Everyone
Learn the fundamentals of AI in concise, beginner-friendly courses designed to introduce you to the basics.
Level: Novice
Price: Free
AI for Leaders
Empower yourself with strategic insights and leadership skills to drive AI innovation and transformation within your organization.
Level: Managers / Execs
Price: Paid
AI for Leaders Learning Path
Gain the knowledge you need to innovate with AI responsibly – all in one track. We'll help you understand what AI, machine learning and analytics mean for leaders so you can apply them in your organization.
Course topics include:
- Data literacy
- AI literacy
- Examples of AI and machine learning in business
- Analytics leadership
AI for Machine Learning Engineers
Unlock data-driven insights by mastering statistical modeling and machine learning techniques for data-driven decision making.
Level: Intermediate
Price: Paid
AI for Machine Learning Engineers Learning Path
Master machine learning in SAS Viya, including deploying and managing models across the modeling life cycle.
Course topics include:
- Statistical foundations of machine learning
- Machine learning fundamentals
- Supervised and unsupervised models
- Agentic AI
- Model deployment and automation
- Model monitoring and updating
- ModelOps
AI and Machine Learning Professional
Master advanced techniques in AI and machine learning with our expert-led masterclasses.
Level: Advanced
Price: Paid
AI and Machine Learning for Professionals Learning Path
Expand your skills and drive better insights using advanced machine learning techniques in SAS Viya, including in-depth data modeling and deep learning.
Course topics include:
- Machine learning fundamentals
- Tree-based modeling
- Regression-based modeling
- Computer vision
- Deep learning
- Natural language processing
- Text analytics
- Optimization
- Time series forecasting
40%
Demand for AI and machine learning specialists is expected to grow by 40% as AI and machine learning drive transformation.
World Economic Forum Future of Jobs Report, 2023
502k
Job postings in the past year requested machine learning or AI as a skill.
Lightcast
63%
Of organizations don’t have enough employees with AI and machine learning skills.
Coleman Parkes Research Report
Which subscription is right for you?
| AI Literacy for Everyone | AI for Leaders | AI for Machine Learning Engineers | AI and Machine Learning for Professionals | |
|---|---|---|---|---|
| Price | Free | Paid | Paid | Paid |
| Level | Novice | Managers / Executives | Intermediate | Advanced |
| On-Demand Courses | 4 | 6 | 8 | 13 |
| Certifications and Prep Materials | 3 included | 3 included | ||
| Digital Badges | ✓ | ✓ | ✓ | ✓ |
| Hands-On Labs | ✓ | ✓ | ||
| Total Instructional Hours | 20+ hours | 25+ hours | 57+ hours | 51+ hours |
| 7-Day Free Trial | 7-Day Free Trial | 7-Day Free Trial |
These educational experiences not only refined my technical abilities but also reinforced the value of staying intellectually agile. Alfredo Vazquez Fontela