This Specialization prepares learners to design, deploy, and secure generative AI systems with confidence and responsibility. As generative AI and large language models (LLMs) transform industries, securing these technologies is critical. Through three courses, you will build foundational knowledge of generative AI, learn to recognize and mitigate risks, and gain hands-on practice in applying defensive strategies to protect AI-powered systems.
You will be able to explain generative AI fundamentals, identify vulnerabilities in AI workflows, implement security measures to defend against adversarial attacks, and design responsible AI deployments aligned with best practices.
This program is ideal for students, developers, AI engineers, data scientists, and cybersecurity professionals, as well as business and IT leaders who need to ensure safe AI adoption.
Basic knowledge of Python and familiarity with AI or machine learning concepts are recommended. No prior cybersecurity expertise is required.
Courses Included:
Generative AI for Security Fundamentals – Understand core AI architectures and security basics.
Generative AI and LLM Security – Focus on securing LLMs, safe deployment, and responsible use.
Securing AI Systems – Learn about vulnerabilities, adversarial attacks, and defenses.
By the end of this Specialization, you will have the skills to build secure, ethical, and trustworthy generative AI applications for real-world impact.
Applied Learning Project
Learners will complete practical projects such as analyzing vulnerabilities in generative AI models, applying defensive strategies to secure AI systems, and building a mini end-to-end workflow that demonstrates safe AI deployment in real-world scenarios. These projects ensure you can apply the skills directly to professional contexts in AI and cybersecurity.
