Course Structure

The course includes 16 recorded lectures of around 50-60 minutes each. Lecture 1, “Introduction to applied AI,” defines the applied AI process and clarifies the broad set of requirements needed to solve real-world problems. Lecture 2, “Competitive advantages of applied AI,” describes the technical and business competitive advantages that AI delivers to the business. Lectures 3, “Key issues in applying AI,” gives details on potential problems that need to be resolved in applying AI. Lectures 4 – 7 demonstrate AI’s applicability in different areas in image analysis, natural language processing, industry, and business. Lecture 8, “Applied AI solutions to real-world problems,” is focused on the critical types of deliverables from AI, such as prediction, forecasting, classification, clustering, etc. Lecture 9, “Selecting and defining real-world problems appropriate for AI,” clarifies the key issue of how to identify and define problems appropriate for AI. A comprehensive methodology for the development of AI-based applications is presented in Lecture 10; the method’s key steps are discussed in detail with many examples from real-world applications in Lectures 11-15. Lecture 11, “Real-world problem knowledge acquisition,” covers the critical step of extracting the problem’s available knowledge. Lecture 12, “Data preparation steps,” gives the details for data collection and preprocessing, while Lecture 13, “Data analysis steps,” describes various methods to extract insight from the data. Lecture 14, “Model development steps,” presents the critical process of developing and validating the models that solve the business problem. Lecture 15, “Model deployment and maintenance steps,” describes the most vital process of extracting value by putting our solutions into production. The final Lecture 16, “Organizing AI applications,” gives some ideas on building the appropriate infrastructure for scaling-up business applications.

Instructor

Arthur Kordon, Ph.D.
CEO of Kordon Consulting LLC
Fort Lauderdale, Florida, USA

Dr. Kordon is an internationally recognized expert in the application of Artificial Intelligence (AI) to the industry. His clients include large and small businesses and consulting companies in the United States, Japan, South Korea, Germany, France, and Belgium. His current projects solve business problems in developing cognitive models of the enterprise, predictive maintenance, smart energy cost reduction analysis, commodity price forecasting, and office space optimization. He also advises his clients on how to integrate AI into their organizations and trains their specialists.

In his previous position as Scientific and Analytics Leader of the Artificial Intelligence Group at Dow Chemical ­– America’s largest chemical company, Dr. Kordon introduced several new AI-based solutions. They have improved and optimized manufacturing processes with enormous economic effect. He has US and worldwide patent and over 70 publications in the most prestigious journals and conferences in applied AI systems. He is the author of the book “Applying Computational Intelligence,” published by Springer, and co-author of the book “Applying Data Mining for Business Forecasting,” published by the SAS Institute.

He knows how to explain AI in plain English to an audience with no knowledge of the topic and inspire future business applications.