Harnessing LLMs & Text-Embeddings API with Google Vertex AI: Master Google Vertex AI's Text-Embeddings API for Advanced AI Solutions

Paulo Dichone

Mex$1845.99

Video Sep 2024 1hr 51mins 1st Edition

Paulo Dichone

Mex$1845.99

Video Sep 2024 1hr 51mins 1st Edition

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Key benefits

Explore the full potential of Google Vertex AI’s Text-Embeddings API
Learn to set up and optimize your Google Cloud Platform environment
Gain hands-on experience with embeddings and text generation models

Description

This course takes you on an in-depth journey through the capabilities of Google Vertex AI's Text-Embeddings API. Beginning with an overview of the prerequisites and course structure, you’ll establish a solid foundation by setting up your development environment and configuring your Google Cloud Platform. This preparation is crucial as you delve into the intricacies of Vertex AI and begin generating sentence embeddings. As the course progresses, you'll explore the core functionalities of Vertex AI and the fundamentals of embeddings, including their applications in Generative AI and LLMs. With a focus on real-world scenarios, you’ll engage in hands-on exercises to visualize embeddings, conduct similarity searches, and comprehend the use of text and multimodal embeddings. Each module builds on the last, deepening your understanding and preparing you to tackle more complex tasks. By the end of the course, you’ll be proficient in using the Text-Embeddings API for various applications, including text generation and information extraction. You’ll learn to build and scale solutions like a Retrieval-Augmented Generation (RAG) system and visualize data in meaningful ways. This comprehensive approach ensures that you understand their practical value, making you well-equipped to leverage Vertex AI in your projects.

Who is this book for?

This course is designed for data scientists, AI practitioners, and developers with a basic understanding of Python and machine learning concepts. Familiarity with cloud services and API usage will be beneficial.