Introduction to AI and Machine Learning on Google Cloud (AIMLGC)

 

Course Overview

This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.

Who should attend

Professional AI developers, data scientists, and ML engineers who want to build predictive and generative AI projects on Google Cloud.

Prerequisites

Having one or more of the following:

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

Course Objectives

  • Recognize the data-to-AI technologies and tools provided by Google Cloud.
  • Build generative AI projects by using Gemini multimodal, efficient prompts, and model tuning.
  • Explore various options for developing an AI project on Google Cloud.
  • Create an ML model from end-to-end by using Vertex AI.

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • on request
Dates and Booking
Request a date
Classroom Training

Duration
1 day

Price
  • on request
Dates and Booking
Request a date

Schedule

English

1 hour difference

Online Training Time zone: Central European Time (CET)
Online Training Time zone: Central European Time (CET)
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom. All FLEX courses are also Instructor-led Online Trainings (ILO).

Middle East

United Arab Emirates

Dubai
This is a FLEX course, which is delivered both virtually and in the classroom. All FLEX courses are also Instructor-led Online Trainings (ILO).