This course provides a hands-on introduction to the domain of artificial intelligence from multiple perspectives. The hybrid learning approach allows the participants to complete certain sections of the course in a self-paced manner, while other cohort-based sections allow participants to get hands-on experiences in the form of exercises, activities, and discussions with leading AI experts.
Who should attend
This training is aimed for a diverse group of participants who are interested in exploring various aspects of AI such as technical details, risks and regulations, and applications of AI in various industries.
What you will learn
Upon completing the training, we expect participants to have gained a holistic perspective on AI and its impact on the current business landscape, economy, and society. In particular, upon completion, participants should be able to…
- Describe AI concepts and terms such as machine learning, deep learning, and neural networks
- Compare machine learning algorithms such as supervised, unsupervised, and reinforcement learning
- Discuss some of the recent AI use cases in various business functions
- Identify the risks, ethics, and regulations associated with AI
What’s included
- Module 1: What is AI
- Module 2: How do we make machines learn
- Module 3: How do algorithms work
- Module 4: What can ML do
- Module 5: AI at the workplace
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