Learning Paths for Technical Professionals

GenAI on Google Cloud

In this learning path, you’ll learn to harness the power of Google Cloud Vertex AI to build cutting-edge AI solutions using Large Language Models (LLMs) and the Text-Embeddings API. Designed for AI enthusiasts, data scientists, and developers, it covers everything from understanding Vertex AI’s architecture to implementing sophisticated applications and real-world case studies. By the end, you’ll have the practical skills and knowledge to enhance existing AI projects or create innovative new ventures.

Skills:

Introduction to Google Cloud Vertex AI

Working with Large Language Models (LLMs)

Mastering the Text-Embeddings API

Building Advanced AI Solutions

Real-World Application of Google GenAI and Hands-On Projects

Languages:

English

Duration:

~10 hrs 30 mins

Learning objectives

  1. Gain a comprehensive understanding of Vertex AI, including its architecture, key features, and integration with the Google Cloud ecosystem
  2. Learn to leverage pre-trained LLMs within Vertex AI for various NLP tasks like text generation and sentiment analysis.
  3. Discover how to utilize the Text-Embeddings API for document retrieval, question answering, and optimizing embeddings for specific use cases.
  4. Get step-by-step guidance on creating sophisticated AI applications, such as Retrieval-Augmented Generation (RAG) systems and personalized recommendations.
  5. Explore real-world case studies and apply your learning through hands-on projects that simulate real-world scenarios, directly applicable to your work or business.

Target audience

AI enthusiasts, data scientists, and developers

Make AI your ally with an AI Starter Path