1 day EN / DE Max 16

Introduction to AI and Machine Learning on Google Cloud

This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.

€920,00 excl. VAT

Individual scheduling

The courses are held as dedicated group sessions. Once you’ve booked, we’ll coordinate a date that works for your team and send invitations to all participants.

Prerequisites

  • Basic knowledge of machine learning concepts
  • Prior experience with programming languages such as SQL and Python

What you'll learn

  • Recognize the data-to-AI technologies and tools offered
    by Google Cloud.
  • Build generative AI projects by using Gemini multimodal, efficient prompts, and AI agent builders.
  • Choose between different Google Cloud product options to
    develop an AI project.
  • Build ML models end to end by using Vertex AI.

Course modules
Course introduction
A use case AI on Google Cloud AI infrastructure AI models BigQuery ML Hands-on lab: Predict Visitor Purchases with BigQuery ML
Generative AI on Google Cloud Foundation models Idea to app Prompt engineering Deployment and model tuning AI agents Agent building with Google Cloud Hands-on lab: Get started with Vertex AI Studio
AI development options Vertex AI AutoML Pre-trained APIs Custom training Hands-on lab: Entity and Sentiment Analysis with Natural Language API
ML workflow Data preparation Model development Model serving MLOps and workflow automation How a machine learns (optional) Hands-on lab: Vertex AI: Predict Loan Risk with AutoML
Course summary
Introduction to AI and Machine Learning on Google Cloud