Google Cloud AI Courses and Certifications

Get Started with Generative AI Studio

16 ratings at Coursera

This is a self-paced lab that takes place in the Google Cloud console.Use Generative AI Studio to create prompts and conversations

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Responsible AI for Developers: Privacy & Safety

13 ratings at Coursera

Apply AI privacy and safety practices with Google Cloud products and open-source tools, using techniques that protect data during machine learning training and make AI systems safer.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Classify Images of Clouds in the Cloud with AutoML Vision

13 ratings at Coursera

Train a custom AutoML Vision image recognition model in the Google Cloud console to classify photos of cloud types such as cumulus and cumulonimbus.

• Coursera
• 2 hours
• Self-Paced
• Paid Course

Fractal Analytics

Introduction to Vertex AI

11 ratings at Coursera

Navigate the Vertex AI platform: explore its interface, key components, foundational models, and role in building AI/ML solutions and MLOps workflows.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera

Generative AI with Vertex AI: Build a customer chatbot

Build a customer support chatbot for a financial institution with Vertex AI, classifying and summarizing support call text via the console and Google Cloud APIs in Colab.

• Coursera
• 2 hours 50 minutes
• Self-Paced
• Paid Course

Vertex AI Tabular Data: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to build a binary classification model from tabular data using Vertex AI.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Process Documents with Python Using the Document AI API

Create general form and Document OCR processors with the Document AI API, then make synchronous and asynchronous calls from Python in JupyterLab notebooks.

• Coursera
• 40 minutes
• Self-Paced
• Paid Course

TFX on Google Cloud Vertex Pipelines

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will develop, deploy, and run a TFX pipeline on Google Cloud Vertex Pipelines.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Working with Notebooks in Vertex AI

Learn what Vertex AI Notebooks are, compare the available notebook types and their features, and create and manage these Jupyter-based environments for machine learning work.

• Coursera
• 2 hours 34 minutes
• Self-Paced
• Paid Course

Understand Google Cloud Agents

Compare Google Cloud's agent platforms — Gemini Enterprise, Conversational Agents with Dialogflow CX, CX Agent Studio, and the Agent Development Kit — and build, ground, and deploy agents.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

Create and Test a Document AI Processor

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to to create and use document processors using the Document AI API.

• Coursera
• 40 minutes
• Self-Paced
• Paid Course

Speech to Text Transcription with the Cloud Speech API

Record your own audio file and send it to the Cloud Speech API from the Google Cloud console to get it transcribed to text.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

Predict Baby Weight with TensorFlow on AI Platform

In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Gemini for Cloud Architects

Prompt Gemini to explain infrastructure, deploy GKE clusters, and update existing resources, with a hands-on lab showing how it improves the GKE deployment workflow.

• Coursera
• 1 hour 53 minutes
• Self-Paced
• Paid Course

Identify Damaged Car Parts with Vertex AutoML Vision

Train a custom AutoML Vision image classification model in Vertex AI that recognizes damaged car parts, then generate predictions from the Cloud Console UI or REST API.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course