Artificial intelligence
AI & Machine Learning
Learn the language and building blocks behind modern AI and machine learning. Explore where these tools can help, what data they depend on, and how to assess their limitations and responsible use.
What you’ll explore
Learn the language and building blocks behind modern AI and machine learning. Explore where these tools can help, what data they depend on, and how to assess their limitations and responsible use.
- Understand AI and machine-learning concepts
- Recognize common business applications
- Evaluate data, risk, and responsible-use considerations
Course contents
Open a topic to explore the concepts covered in this learning path.
AI and machine-learning foundations
Build familiarity with key terms and how AI systems are developed.
- AI, machine learning, and generative AI
- Training data, models, and inference
- Common model types and use cases
Use cases and evaluation
Explore how AI opportunities are identified and assessed.
- Business problems suited to AI
- Quality, accuracy, and evaluation
- Human review and workflow integration
Responsible AI
Consider the risks and safeguards involved in using AI systems.
- Privacy, security, and data governance
- Bias, transparency, and limitations
- Responsible adoption and ongoing monitoring
Interested in this course?
Contact our team to discuss the course topics and find out more.