Introduction to Data and Information Security
Key Security Concepts and Threat Landscape
Securing Data and Systems
Recognizing and Responding to Security Threats
Policies, Compliance, and Ethics
Introduction to Cybersecurity in the AI Era
Cybersecurity Frameworks and Governance
Risk Management, Compliance, and Future Trends
Introduction to AI, its history, key concepts, and types (narrow vs. general AI)
Machine learning, neural networks, and deep learning fundamentals
Natural language processing (NLP), computer vision, and AI in automation
AI tools, algorithms, and applications across industries (healthcare, finance, etc.)
Ethical considerations, AI challenges, future trends, and hands-on AI project
Introduction to digital transformation, AI fundamentals, and business impact
AI technologies and tools, machine learning, and data analytics in business
Implementing AI in operations, customer experience, and process automation
Change management in digital transformation, culture shift, and leadership role
AI ethics, future trends, scaling AI solutions, and Q&A session
