The foundational course that introduces the principles of AI, intelligent systems, search algorithms, reasoning, and machine learning concepts. It provides the knowledge base upon which all advanced AI courses are built.

Covers the collection, preparation, analysis, and interpretation of data. Students learn statistical analysis, predictive modeling, and data visualization—the essential skills required for developing AI solutions.

Focuses on today's fastest-growing AI technologies, including Large Language Models (LLMs), AI assistants, prompt engineering, content generation, and responsible use of generative AI in business environments.

Teaches students how to build applications that integrate AI models into software solutions. Learners develop practical programming skills using AI tools to automate workflows and improve business processes.

Explores how AI powers robotics, smart cities, autonomous systems, IoT, healthcare innovations, blockchain, and other next-generation technologies that are shaping the future economy.

Introduces techniques for managing and analyzing massive datasets. Students learn how big data supports machine learning, business intelligence, predictive analytics, and organizational decision-making.

Demonstrates how AI transforms digital marketing through customer segmentation, predictive analytics, recommendation systems, marketing automation, personalization, and consumer behavior analysis.

Examines AI applications in banking, investment analysis, fraud detection, financial forecasting, credit scoring, and risk management, preparing students for careers in the rapidly evolving financial sector.

Shows how AI enhances talent acquisition, workforce planning, employee engagement, performance management, and HR analytics while addressing ethical and legal considerations.

Covers the ethical, legal, and social implications of artificial intelligence, including bias, fairness, privacy, transparency, governance, cybersecurity, and responsible AI development—an increasingly critical area for every AI professional.

Brings together the technical and business aspects of AI by teaching students how organizations use AI to improve operations, automate decision-making, increase productivity, and drive digital transformation.

Serves as the program's culminating practical experience before the internship and thesis. Students design and implement a comprehensive AI solution, demonstrating their ability to solve real-world business challenges while showcasing the technical and analytical skills employers seek.