Hands-On Labs in Google Cloud for Security Engineers

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Hands-On Labs in Google Cloud for Security Engineers

Coursera · Intermediate ·📰 AI News & Updates ·1mo ago
Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this course you will get added hands-on practice understanding and securing resources with multiple Google Cloud services including Google Kubernetes Engine (GKE). This course is unlike other courses, in that it consists of one module of background videos, followed by a series of hands-on practice exercises on Google Cloud via Qwiklabs. The practice modules include no videos, lectures, or quizzes - just more practice on real Google Cloud. If you enjoyed this course, you can check out the full quest including a challenge lab that requires a solution to be built with minimal guidance. You will have an opportunity to earn a Google Cloud digital Skill Badge on completion as well! Visit - google.qwiklabs.com and look for ‘Secure Workloads in Google Kubernetes Engine’ and ‘Ensure Access & Identity in Google Cloud’.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
Big Tech firms are investing heavily in AI, driving growth and transformation, while prioritizing safety and responsible adoption
Dev.to AI
The AI Gold Rush Looks Weirdly Familiar
The AI gold rush is compared to previous technological booms, with warnings of inflated expectations and unfulfilled promises
Medium · AI
AI and the moment the phone stopped being just a phone
Discover how AI transformed phones beyond their primary function, and why this matters for the future of technology
Medium · Programming
AI Has Already Solved “Impossible” Problems. You Just Missed It.
AI has solved complex problems, but the focus on new challenges overlooks past successes, and it's essential to acknowledge and learn from them
Medium · Programming
Up next
NEET Paper Leak Explained
Full Disclosure
Watch →