Next-Gen Cybersecurity in the AI Era for Product Teams

As artificial intelligence reshapes software development and digital products, securing systems against emerging risks has become an essential discipline for modern builders and product teams. This course delivers a clear, foundational pathway to understanding how cybersecurity intersects with AI-driven technology. You will read through practical frameworks that clarify how threat vectors evolve when AI is integrated into modern workflows, and how to design resilient architectures from the ground up. What you'll learn: - Understand core cybersecurity terminology, fundamental defense principles, and zero-trust concepts - Identify emerging threats specific to AI systems, including prompt injection and data privacy concerns - Apply secure product development lifecycles and modern threat modeling frameworks - Evaluate data governance, model security, and compliance requirements for AI-enabled applications - Practice assessing vulnerability risks through structured written scenarios and case analyses Starting with essential security definitions and risk principles, the curriculum moves step by step into modern defense patterns and proactive mitigation strategies for digital products. This course is designed for aspiring product managers, developers, and tech professionals looking to grasp cybersecurity fundamentals in the era of AI without prior security expertise. Start reading today to build a solid foundation in modern product security.