Introduction to AI and Machine Learning on Google Cloud

Join us at WideOps Ltd Authorized Trainers (Google Authorized Training Program) for the “Introduction to AI and Machine Learning on Google Cloud” course a complete learning experience with hands-on labs designed to sharpen your practical skills. Led by our Google Cloud superstar Nikita Matatov, this course is your gateway to mastering AI and unlocking its transformative potential in your organization.

📆 November 12th, 2025

⏱️ Training + Hands-on session 9:00-16:00

📍 Google TLV – Yigal Alon St 98, Tel Aviv-Yafo – 12 – Milk

🗣️ In Hebrew

💻 Laptops are required

Overview:

The Introduction to AI and Machine Learning on Google Cloud is a full-day, instructor-led training designed to help participants understand how to build and deploy AI solutions using Google Cloud’s cutting-edge tools and technologies.

This session provides a comprehensive introduction to the foundations of AI, generative AI, and the machine learning development workflow combining theory, demos, and hands-on labs.

By the end of the day, participants will gain a clear understanding of the AI ecosystem on Google Cloud and learn how to apply it to real-world business and data challenges.

What you’ll gain:

• A high-level overview of AI and ML frameworks on Google Cloud
• Hands-on experience with Vertex AI, BigQuery ML, and AI APIs
• Insight into Generative AI, Prompt Engineering, and AI Agents
• Practical knowledge to kickstart AI-driven innovation within your organization

Key Modules

Module 01: AI Foundations

Understand the core concepts of AI and ML on Google Cloud. Explore data infrastructure, AI products, and learn how to use BigQuery ML to build and deploy a simple predictive model.

Module 02: Generative AI

Dive into Generative AI on Google Cloud – from foundation models to prompt engineering and AI agent development. Learn to design, tune, and deploy models using Vertex AI Studio and other advanced tools.

Module 03: AI Development Options

Discover the full range of AI development tools – from Pre-trained APIs and AutoML, to Custom Training. Learn to choose the right development path based on complexity, scalability, and customization needs.

Module 04: AI Development Workflow

Follow the complete ML lifecycle -from data preparation and model building to deployment and MLOps automation with Vertex AI Pipelines. See how AI solutions move from prototype to production.

Module 05: Course Summary

Wrap up the training by revisiting the main tools, techniques, and frameworks learned throughout the course.
Discuss practical AI applications and next steps for continued learning.

Training Approach

This instructor-led course blends interactive lectures, live demos, and guided labs to ensure a balanced learning experience for all skill levels.

Our hands-on methodology allows participants to explore real Google Cloud environments while practicing the concepts discussed during the session.