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Artificial intelligence: An overview of AI and machine learning

Alex Castrounis

Advanced analytics such as artificial intelligence and machine learning are becoming increasingly critical to developing innovative, differentiated, competitive, and successful businesses and products. AI in particular has the potential to unlock the value of data and ultimately transform businesses, industries, and human experiences.

Join Alex Castrounis for an overview of AI and machine learning fundamental concepts and processes, including common definitions, types, algorithms, processes, trade-offs, and considerations.

What you'll learn-and how you can apply it

  • Definitions of AI and machine learning, along with related concepts
  • Some of the different AI and machine learning types and algorithms
  • Common processes applied to AI and machine learning projects
  • Common tradeoffs and considerations associated with AI and machine learning

At a high-level, you will be able to:

  • Understand what AI and machine learning means
  • Understand the different types of AI and machine learning techniques and algorithms
  • Understand some of the common tradeoffs and considerations associated with AI and machine learning

This training course is for you because...

  • You're a business executive or technical practitioner interested in learning more about artificial intelligence.

About your instructor

  • Alex Castrounis is the author of AI for People and Business: A Framework for Better Human Experiences and Business Success and founder, CEO, and principal consultant of InnoArchiTech.

    An expert in business, analytics, and product management, Alex has nearly 20 years of innovation experience. His primary areas of expertise are data science, advanced analytics, and product management.

    Alex has helped companies in many industries and of all sizes to benefit from technological innovation and digital transformation, and to build great data products. Alex is also an experienced speaker and teacher who has helped thousands of people grasp the details and benefits of data science and advanced analytics.


The timeframes are only estimates and may vary according to how the class is progressing

This course is taught continuously for an hour and will consist of the topics listed below. Questions will be answered throughout the course, where possible, and time frame will be allotted at the end for Q&A.


  • AI definitions and related concepts
  • Machine learning definition
  • Machine learning types and algorithms
  • AI types and algorithms
  • AI and machine learning processes
  • Trade-offs and considerations