I had to get #GoogleCloudCertified

Google Cloud Tech · Intermediate ·📰 AI News & Updates ·3y ago

Key Takeaways

The video features women in tech sharing their experiences of getting Google Cloud certified, specifically the Professional Architect and Machine Learning certifications, to enhance their skills and knowledge in Google Cloud Platform (GCP) and machine learning tools.

Full Transcript

I had to get certified like I I knew there is no other option for myself there was no pressure from my workplace to get certified but it was just personal accomplishment so my certificate was the professional architect however I'm mostly working with machine learning tools but I wanted to start with having the big picture like I want to understand everything in gcp even if it's not in depth I want to know what's out there what what we have now in our gcp in Scotiabank might be different from what we're gonna have in two years we might include other tools it add more services on the roadmap so I need to to understand what's how those Services communicate connect and and what are the challenges use cases currently I'm studying for my second one the machine learning one because it fits right in my role

Original Description

Women In tech share their Google Cloud certified story.
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The video showcases the importance of getting Google Cloud certified for professional growth and understanding of GCP services, particularly in machine learning. It highlights the benefits of having a broad knowledge of GCP and its services. Viewers can learn from the experiences of women in tech who have undergone the certification process.

Key Takeaways
  1. Identify the Google Cloud certification that aligns with your role and interests
  2. Prepare for the certification exam by studying GCP services and use cases
  3. Understand the big picture of GCP and its services
  4. Apply knowledge of machine learning tools and services in GCP
  5. Stay updated on new services and tools in GCP
💡 Having a broad knowledge of GCP services and understanding how they communicate and connect is essential for professional growth and success in cloud computing and machine learning.

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