Free
Course

Prompt Engineering: Mobile Platform Security in the GenAI Era

Fortify mobile platform security using generative AI. Learn AI-driven attack methods, fix app vulnerabilities, and understand AI’s role in mobile hacking.

  • Skill level

    Intermediate
  • Time to complete

    Approx. 1 hour
  • Certificate of completion

    Yes

About this course

Mobile devices are involved in vast facets of our daily lives, and as these devices and AI evolve, they become powerful tools and vulnerable gateways. With AI-driven functionalities at the forefront of mobile technology innovation, understanding the security implications and nuances is paramount. In this course, explore common mobile platform vulnerabilities and utilize generative AI to bolster mobile security measures. Next, learn how to execute mobile attacks with generative AI, evaluate mobile security measures, and use generative AI to identify and patch app vulnerabilities. Finally, examine the impact of AI-enhanced mobile hacking, the importance of regular updates and patches, and real-world mobile hacking case studies. Upon completion, you'll be able to outline the intricate landscape of mobile security and the implications of integrating generative AI.

Learning objectives

  • Discover the key concepts covered in this course
  • Identify common vulnerabilities in mobile platforms
  • Outline how mobile platform hacking techniques can be enhanced using generative ai

How it works

Expert-led videos

In this course, you'll watch videos created by industry-leading experts for some of the biggest tech companies in the world. They'll cover key concepts, go through sample applications, prepare you for industry certifications, and more. Watch on any device — whenever and wherever you want — to learn at your own pace.

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The Relationship Between the Cloud & AI Explained

Cory Stieg
May 1, 2024

As AI finds its way into so many aspects of our lives, it’s even more important to understand the infrastructure that powers this valuable tool. That includes the cloud, which is a big part of how AI apps are deployed and scaled.  

Cloud computing basically refers to internet-delivered services like servers, storage, databases, networks, software, and analytics. The cloud provides computational power and ample data storage that’s needed to train, develop, and deploy cutting-edge AI models.  

If you’re looking for a way to get started with cloud technology, we recently launched a collection of free cloud courses. These courses provide you with foundational knowledge in core cloud providers including Microsoft Azure, Amazon Web Services, Google Cloud, and CompTIA Cloud Essentials+. With these cloud courses, you have the option to dive in and explore for free before committing to a cloud certification program. They’re also an excellent way to complement the in-demand AI and coding skills that you’re already learning. 

Ahead, we’ll break down the relationship between cloud computing and AI with insight from Michael Shannon, a Senior Analyst in Tech and Dev at Skillsoft, who developed the curriculum for many of our cloud courses.  

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