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AI Application Hub: Project-Based Learning

Focuses on solving real-world problems with AI while enhancing critical thinking and analytical skills.

Overview

The AI Application Hub immerses learners in project-based experiences that mirror real-world challenges. Courses at this campus are designed to go beyond theory by helping learners apply AI tools and methods to domain-specific problems in fields such as business, healthcare, fraud, finance, and more.

Key Features

  • Hands-on, scenario-based projects using real-world datasets
  • Emphasis on framing the right questions and applying AI strategically
  • Integration of domain knowledge with AI workflows
  • Development of communication and storytelling skills to explain results
  • Opportunities to work independently or in teams to simulate workplace environments

Ideal For

  • Learners with foundational knowledge ready to apply AI practically
  • Professionals seeking to bridge the gap between theory and real-world implementation
  • Students in non-technical fields aiming to build cross-disciplinary data and AI portfolios
  • Anyone preparing for domain-specific careers that rely on analytical decision-making

Certificates

The certificates offered in the AI Application Hub are as follows:

• Business Intelligence: Tools and Techniques

Learn how to use modern BI tools like Power BI, Tableau, and Excel to gather, organize, and visualize data for informed business decision-making.

• Data Analytics: From Insights to Actions

Develop skills to explore, interpret, and act on data insights. Focus includes exploratory data analysis, data storytelling, and actionable business recommendations.

• Machine Learning: Models, Metrics, Impact

Gain hands-on experience with common ML models, learn how to evaluate them using key metrics, and understand their impact on decision-making across business domains.

• Generative and Agentic AI Systems

Explore the architecture and capabilities of generative and agentic AI, including large language models, tool use, contextual frameworks, and autonomous AI behavior.

• Applied Generative AI for Business Transformation

Apply GenAI tools to real business functions—sales, marketing, customer service, software development, and R&D—while learning how to drive workflow automation and innovation.

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