AI and ML Basics for Executives Training

In this non-technical introduction to Artificial Intelligence (AI) and Machine Learning (ML) course, managers and leaders learn the fundamentals and basic techniques to successfully develop strategies for leveraging AI and ML to achieve business goals.

Course Details


1 day

Skills Gained

  • Understand the history and background of AI and ML
  • Compare AI vs. ML vs. DL
  • Learn about the different types of ML techniques
  • Understand the different applications of ML in industry and different domains
  • Apply the data science process to ML use cases
  • Identify the different roles needed for a successful ML project


  • Attendees should have basic programming knowledge.
Course Outline
  • Introduction
  • History and Background of AI and ML
  • Compare AI vs ML vs DL
  • Supervised and Unsupervised Learning Techniques and Usages
  • Machine Learning Patterns
    • Classification
    • Clustering
    • Regression
  • Gartner Hype Cycle for Emerging Technologies
  • Machine Learning Offerings in Industry
  • Machine Learning Use Cases in Different Domains
  • The Data Science Process to Apply to ML Use Cases
  • Identify the Different Roles Needed for a Successful ML Project
  • References and Next Steps
  • Structured Activity/Exercises/Case Studies:
    • Create an account for Microsoft Azure Machine Learning Studio
    • ML using Azure ML Studio
    • Demo of ML using Scikit-learn
  • Conclusion