- Master the fundamentals of Google Gemini for AI development.
- Learn prompting for large context windows and multimodal AI.
- Boost your productivity with advanced Gemini features.
- Deploy and manage AI with Vertex AI on Google Cloud Platform.
Overview
Google tools continue to transform the work of machine learning engineers and developers. Embark on a journey to master AI with Google Gemini and Google Cloud Platform (GCP). Gain skills to deploy cutting-edge applications, use multimodal AI, optimize workflows, and master MLOps on GCP. For comprehensive GCP certification prep, check out the Prepare for the Google Cloud Professional Machine Learning Engineer Certificate learning path.
Syllabus
Courses under this program:
Course 1: Google Gemini for Developers (2024)
-Learn best practices, patterns, and processes for developers and DevOps teams who design and implement LLM-based applications using Google Gemini.
Course 2: Prompt Engineering with Gemini
-This course explains how to take advantage of Gemini, Google’s user-facing generative AI model.
Course 3: Multimodal Prompting with Google's Project Gemini
-Explore the future of prompting, enterprise and AI development with Google’s family of next generation, multimodal artificial intelligence models: Gemini Nano, Pro, and Ultra.
Course 4: Building with Google Gemini Advanced and Ultra
-Discover Google Gemini's ecosystem: from Gemini Pro to Advanced and Ultra, learn how they transform your workflows and improve everything from productivity to app development.
Course 5: Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
-Learn how to transcribe audio from video by integrating Node.js applications with the Google AI Speech-to-Text API.
Course 6: Google Cloud Platform for Machine Learning Essential Training
-Learn how to design machine learning solutions with Google Cloud Platform.
Course 7: Learning Vertex AI: MLOps with Google Cloud
-Learn how to train, deploy, and manage machine learning models using built-in tools in Vertex AI.
Course 1: Google Gemini for Developers (2024)
-Learn best practices, patterns, and processes for developers and DevOps teams who design and implement LLM-based applications using Google Gemini.
Course 2: Prompt Engineering with Gemini
-This course explains how to take advantage of Gemini, Google’s user-facing generative AI model.
Course 3: Multimodal Prompting with Google's Project Gemini
-Explore the future of prompting, enterprise and AI development with Google’s family of next generation, multimodal artificial intelligence models: Gemini Nano, Pro, and Ultra.
Course 4: Building with Google Gemini Advanced and Ultra
-Discover Google Gemini's ecosystem: from Gemini Pro to Advanced and Ultra, learn how they transform your workflows and improve everything from productivity to app development.
Course 5: Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
-Learn how to transcribe audio from video by integrating Node.js applications with the Google AI Speech-to-Text API.
Course 6: Google Cloud Platform for Machine Learning Essential Training
-Learn how to design machine learning solutions with Google Cloud Platform.
Course 7: Learning Vertex AI: MLOps with Google Cloud
-Learn how to train, deploy, and manage machine learning models using built-in tools in Vertex AI.
Courses
-
Learn how to design machine learning solutions with Google Cloud Platform.
-
Explore the future of prompting, enterprise and AI development with Google’s family of next generation, multimodal artificial intelligence models: Gemini Nano, Pro, and Ultra.
-
Learn how to transcribe audio from video by integrating Node.js applications with the Google AI Speech-to-Text API.
-
This course explains how to take advantage of Gemini, Google’s user-facing generative AI model.
-
Discover Google Gemini's ecosystem: from Gemini Pro to Advanced and Ultra, learn how they transform your workflows and improve everything from productivity to app development.
-
Learn how to train, deploy, and manage machine learning models using built-in tools in Vertex AI.
Taught by
Lynn Langit, Denys Linkov, Ray Villalobos, Fikayo Adepoju Oreoluwa and Soham Chatterjee