$399
Online - self-paced
4 Hours to complete
Overview
Explore the full potential of artificial intelligence and machine learning to enhance strategic, data-informed decision-making. This course introduces a range of advanced topics, including probabilistic modeling, predictive analytics, neural networks and generative AI, with a focus on real-world business applications.
Designed for decision-makers, the course provides practical insights into how AI tools can be used to uncover patterns, forecast outcomes and drive smarter strategies. By the end of the course, learners will be equipped to apply machine learning techniques confidently and effectively in organizational settings.
Key Benefits:
- Understand machine learning algorithms and applications
- Recognize strengths and limitations of ML techniques
- Leverage generative AI for decision support
What's Included:
- Expert instruction from Biswajit Pal, director of data engineering and analytics
- Supervised and unsupervised learning fundamentals
- Time series analysis for forecasting and trend detection
- Practical prompt engineering applications for business
Prepare to make informed decisions about AI adoption and implementation.
Course Modules
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Certificate program
This course is a part of the following certificate program:
Who this course is designed for
- Business executives evaluating AI and ML investment decisions
- Leaders implementing data science initiatives in their organizations
- Managers collaborating with data science and analytics teams
- Professionals seeking to understand AI capabilities and limitations
- Strategic planners incorporating predictive analytics into operations
- Anyone needing to communicate effectively about machine learning applications
Outcomes
By the end of this course, you’ll be able to:
- Define the role and significance of machine learning in addressing complex decision-making challenges
- Recognize the fundamental principles of machine learning and machine learning algorithms in practical applications
- Demonstrate the practical applications, strengths and limitations of supervised and unsupervised learning techniques
- Understand time series analysis applications within various decision-making scenarios
- Recognize the creative potential of generative AI and applications of prompt engineering to support decision-makers
Program support
Have additional questions?
Have a question? Reach out to certificatehelp@thunderbird.asu.edu for help.
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