Artificial Intelligence

OVERVIEW

What do self-driving cars, face recognition, web search, industrial robots, and tumor detection have in common? They are all complex real world problems being solved with artificial intelligence. You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.

This course provides a broad understanding of basic technologies used to build intelligent computing systems and how to employ AI to solve real problems. It follows a practical approach with real-life examples and exercises and trains participants on practical AI tools that can be applied to business problems.

OBJECTIVES

Participants will be familiar with AI history and evolution, understand how to implement AI and build intelligent agents; understand machine learning algorithms and natural language processing; and be familiar with the vision for robotics.

• Introduction to Artificial Intelligence and its history, what are the intelligent agents
• Heuristic search, algorithm and their use in social media
• Learn basic Python programming and logic implementation
• Create AI algorithm to filter incoming email and identify spam
• Create AI algorithm to personalize experience & recommend products
• Fraud detection case study: Banks use AI to determine unusual account activity
• Advantages of AI and how it can improve organizational performance
• Real-life examples of companies & countries using AI to achieve radical breakthroughs in services
• How to apply AI to solve problems and address challenges; limitations of current AI technologies
• Classic technologies: search & minimax algorithms, neural networks, tracking, robot localization
• Create AI algorithm to detect phone theft or unusual activity