Prompt Engineering: Cloud Computing & IoT Hacking in the Era of GenAI
Explore cloud computing, IoT, and AI interplay. Learn about common cloud service and IoT vulnerabilities, conduct simulated hacks, and reinforce security using generative AI.
Skill level
IntermediateTime to complete
Approx. 2 hoursCertificate of completion
Yes
About this course
As the digital revolution marches forward, cloud computing and the Internet of Things (IoT) have taken center stage in transforming our world into a seamlessly interconnected ecosystem. This course dives deep into the interplay between Cloud computing, IoT, and generative artificial intelligence (AI), shedding light on their collective vulnerabilities and potential and demonstrating how generative AI can be both a formidable adversary and a powerful ally. You will begin by exploring common cloud service and IoT device vulnerabilities and how generative AI can help in either exploiting their respective vulnerabilities or protecting against such weaknesses. Then, you will then conduct a simulated hack against a cloud-based service with the assistance of generative AI. Next, you'll identify security best practices for cloud and IoT devices and evaluate security measures for cloud services and IoT devices. You'll employ generative AI to identify and mitigate IoT device vulnerabilities and you'll discover trends and advancements in cloud and IoT security and the role of generative AI. Finally, you will explore real-world case studies involving cloud and IoT hacking focusing on the potential impact of generative AI on these attacks.
Learning objectives
- Discover the key concepts covered in this course
- Identify vulnerabilities in cloud services
- Outline how generative artificial intelligence (ai) can contribute to cloud service exploitation or protection
How it works
Expert-led videos
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Our learners work at
The Relationship Between the Cloud & AI Explained
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.
Join over 50 million learners and start Prompt Engineering: Cloud Computing & IoT Hacking in the Era of GenAI today!
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