This course, "Introduction to AI and Machine Learning on GC - Français," presented by Google Cloud, delves into the world of artificial intelligence (IA) and machine learning (ML). It explores the foundational elements, development options, and generative AI solutions available on the Google Cloud platform.
Throughout the course, participants will gain an understanding of the tools and technologies that underpin the "data to AI" lifecycle. They will learn to utilize generative AI features in applications and select from different options for developing AI projects on Google Cloud. Additionally, participants will create end-to-end ML models using Vertex AI.
This course is designed for data scientists, AI developers, and ML engineers seeking to expand their knowledge and skills in AI and ML on the Google Cloud platform.
Certificate Available ✔
Get Started / More Info
The course consists of six modules covering foundational elements, development options, ML workflow, and generative AI. Participants will explore key topics such as infrastructure, model development, and generative AI applications, making it a comprehensive learning experience.
This module introduces the course and provides an overview of its content, setting the stage for the subsequent topics.
This module covers the foundational elements of AI, including an exploration of Google Cloud's infrastructure, data, and various ML models. Participants will also engage in a hands-on workshop to predict visitor purchases using BigQuery ML.
This module explores different options for developing AI projects on Google Cloud, including pre-trained APIs, Vertex AI, AutoML, and custom training. Participants will also analyze entities and sentiments using the Natural Language API in a practical workshop.
This module delves into the workflow of AI development, covering machine learning, ML workflow, data preparation, model development, inference, and MLOps. Participants will engage in a practical workshop to predict loan risks using AutoML in Vertex AI.
This module focuses on generative AI, covering topics such as LLM, Generative AI Studio, and applications of generative AI solutions. Participants will gain hands-on experience in a workshop using Generative AI Studio.
This module provides a comprehensive summary of the course content, reinforcing the key learnings and insights gained throughout the course.
Learn to access an EC2 instance shell from the AWS console in this 1-hour guided project. Connect to the instance, deploy a web application, and gain practical AWS...
Learn to create and update SQL derived tables using LookML and Liquid to generate dynamic values in this Google Cloud Self-Paced Lab.
Installing Anthos Service Mesh on Google Kubernetes Engine allows you to provision a GKE cluster, install and configure Anthos Service Mesh, and deploy the Bookinfo...
Learn to set up a private Kubernetes cluster in the Google Cloud environment with this self-paced lab. Create a secure, isolated environment for your workloads without...