Foundations of AI and Big Data in Business

This foundational micro-course provides a high-level view of how modern organizations leverage massive datasets and machine learning to drive innovation. You will learn to navigate complex technical landscapes, identifying how these tools cut through operational noise to create measurable business value while maintaining a rigorous focus on ethical implementation.

No computer-science background needed!

🧠 You’ll gain a solid understanding of:

• Key concepts in AI, machine learning, and big data and how they are used in business contexts.
• How to explore AI tools and big data platforms to analyze large datasets and draw meaningful insights.
• Critical ethical concerns like bias, privacy, and accountability in AI applications and ways to prevent them.

⏱️ Length: self-paced, approximately 2 weeks

🏆 Competency

Demonstrate an understanding of key AI, machine learning, and big data concepts, using AI tools and big data platforms to analyze datasets and derive insights while addressing ethical considerations in AI applications.

🎯 Learning Objectives

• Explain key concepts in AI, machine learning, and big data and how they are used in business.
• Explore AI tools and big data platforms to analyze large datasets and draw meaningful insights.
• Describe ethical concerns like bias, privacy, and accountability in AI applications and ways to prevent them.

You also have an AI coach built into your course—learn while doing, build confidence, and lead with clarity as you apply these frameworks in real-time.

📘 Note for Newstate University Students

If you live in a state where Newstate University offers full credit-bearing certificates and degrees, this course can count toward your graduate certificate or MBAi in states where Newstate University confers degrees. Every learning experience moves you forward—all of your learning counts at Newstate U.

Career Alignment: This course prepares you for high-level roles such as AI Strategy Consultant, Business Intelligence Lead, or Operational Excellence Manager focused on designing the future of data-driven human capital.