Artificial Intelligence

Course Overview

The Artificial Intelligence course offers a comprehensive overview of cutting-edge AI technologies and their applications across various industries. Beginning with an exploration of the competitive landscape among tech giants like Google, Apple, and Amazon, the course dives into key AI domains including Decision Trees, Natural Language Processing (NLP), and Sentiment Analysis, showcasing practical examples such as Twitter analysis and the use of advanced libraries like RoBERTa. It further explores the strategic application of AI in game theory, the nuances of understanding context in AI communications, and the development of Virtual Assistants and Chatbots.

The course also addresses the technological and legal challenges of Self-Driving Cars and delves into the dynamic field of Algorithmic Trading with a case study on Quantopian.

Designed for individuals seeking to navigate the rapidly evolving field of AI, this course balances theoretical knowledge with real-world applications, preparing participants to leverage AI technologies in innovative ways.

Learning Objectives

• Understand the competitive dynamics and strategic approaches of major technology companies like Google, Apple, and Amazon in developing and deploying AI technologies such as Siri, Google Assistant, and Alexa.
• Gain foundational knowledge in AI methodologies, including Decision Trees, and their applications in mapping customer paths, handling intents, and improving customer service strategies.
• Develop skills in Natural Language Processing (NLP) and Natural Language Understanding (NLU), learning to utilize key language analysis tools and platforms, and understand the current challenges faced in the field.
• Acquire the ability to implement Sentiment Analysis using modern libraries like RoBERTa, with practical applications in analyzing social media platforms such as Twitter and StockTwits for market sentiment.
• Explore the application of AI in games and strategy development, understanding the complexity of decision-making in various contexts including chess and jeopardy, and the difference between game complexity versus the opponent.
• Delve into advanced AI applications such as Virtual Assistants/Chatbots, Self-Driving Cars, and Algorithmic Trading, understanding the technological advancements, legal implications, and the balance between transaction speed and information speed.