
Google Machine Learning and Generative AI for Solutions Architects
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Persons
Kieran Kavanagh is a Principal Architect at Google Cloud, working with Google's largest retail customers and driving some of the industry's most challenging digital transformation and generative AI initiatives. Before joining Google, he was a Principal AI/ML Solutions Architect in Strategic Accounts at Amazon Web Services (AWS), building some of the most complex AI/ML systems in the world. He was also a Principal Architect at AT&T, leading their Mobile Internet infrastructure design, and he is a public speaker on the topics of AI/ML, MLOps, and large-scale cloud transformation. Originally from Cork, Ireland, he now lives in Atlanta, GA, with his wife, Katelyn.
Content
AI/ML Concepts, Real-World Applications, and Challenges
Understanding the ML Model Development Lifecycle
AI/ML Tooling and the Google Cloud AI/ML Landscape
Utilizing Google Cloud's High-Level AI Services
Building Custom ML Models on Google Cloud
Diving Deeper-Preparing and Processing Data for AI/ML Workloads on Google Cloud
Feature Engineering and Dimensionality Reduction
Hyperparameters and Optimization
Neural Networks and Deep Learning
Deploying, Monitoring, and Scaling in Production
Machine Learning Engineering and MLOps with GCP
Bias, Explainability, Fairness, and Lineage
ML Governance and the Google Cloud Architecture Framework
Advanced Use Cases and Technologies
An Introduction to Generative AI
Generative AI on Google Cloud
Advanced Generative AI Concepts and Use Cases
Bringing It All Together-Building ML Solutions with GCP and Vertex
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- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePUB works well for novels and non-fiction books – i.e., 'flowing' text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook does not use copy protection or Digital Rights Management
For more information, see our eBook Help page.