Google Machine Learning and Generative AI for Solutions Architects: Build efficient and scalable AI/ML solutions on Google Cloud


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(as of Dec 03,2024 10:54:49 UTC – Details)


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Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.

We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.

Publisher ‏ : ‎ Packt Publishing (June 28, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 552 pages
ISBN-10 ‏ : ‎ 1803245271
ISBN-13 ‏ : ‎ 978-1803245270
Item Weight ‏ : ‎ 2.09 pounds
Dimensions ‏ : ‎ 1.2 x 7.5 x 9.25 inches


As a solutions architect, staying ahead of the curve in the rapidly evolving field of artificial intelligence and machine learning is essential. Google Cloud offers a powerful platform for building efficient and scalable AI/ML solutions, making it a top choice for architects looking to leverage the latest advancements in technology.

One of the key tools offered by Google Cloud is its machine learning and generative AI capabilities. These tools allow architects to create innovative solutions that can analyze vast amounts of data, make predictions, and generate new content.

By harnessing the power of Google’s machine learning and generative AI tools, solutions architects can build cutting-edge applications that automate tasks, optimize processes, and drive business growth.

Whether you are looking to enhance customer experiences, improve operational efficiency, or uncover new business opportunities, Google Cloud’s machine learning and generative AI capabilities provide the tools you need to succeed.

In this post, we will explore how solutions architects can leverage Google Cloud’s machine learning and generative AI tools to build efficient and scalable AI/ML solutions that drive value for their organizations. Stay tuned for insights, best practices, and real-world examples of how Google Cloud is revolutionizing the way architects approach AI and ML.
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