What is AI

• Grasp the concepts of AI and machine learning (ML)
• Explore various AI applications, including visual, linguistic, and predictive tasks
• Discuss factors to consider when developing an AI strategy
• Milestone: Create a two-minute explanation of AI and share it with your peers

Applying AI

• Familiarize yourself with AI-powered technologies and their industry use cases
• Examine the dynamic between humans and AI
• Recognize the advantages and business opportunities associated with AI
• Milestone: Identify a focus area where implementation of AI may benefit in your team or business

Finding AI and Machine Learning Opportunities for your Business

• Analyze an AI case study: Amazon
• Generate innovative AI opportunities and concepts tailored to your business
• Milestone: Summarise your AI solution with expected benefits and lessons

An AI solution for your problem

• Evaluate the ethical considerations surrounding AI, along with potential remedies for ethical challenges
• Understand the barriers hindering AI adoption, such as sensitivity, quantity, and labeling issues
• Explore the capabilities of cloud-based AI and machine learning services, including their applications and platforms
• Milestone: Consider core skills, ethical considerations, and key hurdles to your AI solution

Select a Business Opportunity

• Select a business opportunity as the basis for creating an AI proof of concept
• Develop a comprehensive process and roadmap for your solution
• Milestone: Refine your proof of concept including relevant KPIs

What's next

• Gain insights into the future of AI in the business landscape
• Conclude your journey with the final project
• Milestone: Submit your final project