Google Cloud Machine Learning - Beginner to Intermediate Course

The Google Cloud Machine Learning course an Intermediate Course for Beginners is structured to give learners a base of understanding and a basic skills-building exercise in build, train, and deploy machine learning models on Google Cloud. It introduces key ML concepts such as supervised and unsupervised learning, data pre-processing, model evaluation, and feature engineering. Participants will have hand-on experience in using some of Google's tools (Google Cloud Vertex AI, TensorFlow, and BigQuery ML) to create end-to-end machine learning-based solutions.

Throughout the course, learners will explore real-world case studies and work in workshops to explore how machine learning models apply to real business applications for predictive analytics, automation, and intelligent decision-making and at the end of the course, they will be able to work confidently with ML be able to manage ML workflows, optimize these models, and apply cloud AI tools.

At SSDN Technologies, the Best Training Company- we provide expert-led, practical exposure and personalized guidance for every learners enrolled in the Workshop. It's common to have learners transitioning from knowledge to applied practice in industry. This course bridges the gap between foundational knowledge and industry application, making it an ideal choice for beginners and professionals aiming to advance their careers in cloud-based machine learning.


Download Content
bannerImg

Learning Options for You

  • Live Training (Duration : 40 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic understanding of Python programming
  • Familiarity with data handling and analytics concepts
  • Knowledge of Google Cloud fundamentals is helpful
  • No prior machine learning experience required (ideal for beginners)

Learning Objectives

This course introduces learners to the core concepts of machine learning on Google Cloud, progressing from foundational to intermediate skills. Participants will explore ML workflows, data preprocessing, and model deployment using Vertex AI and AutoML. The training covers supervised and unsupervised learning, feature engineering, and hyperparameter tuning while leveraging BigQuery ML for rapid experimentation. Learners will gain practical experience in building, evaluating, and deploying models in a scalable cloud environment. Real-world labs help reinforce understanding of end-to-end ML pipelines—from data ingestion to serving predictions. By course end, participants will be confident in implementing cloud-based ML solutions using Google Cloud’s powerful AI tools.

Target Audience

  • Beginners and intermediate learners in data science or AI
  • Data analysts and engineers expanding into machine learning
  • Developers interested in applying ML on Google Cloud
  • Students preparing for Google Cloud ML certifications
  • Professionals automating decision-making using ML models

Register Your Interest

captcha

Our Learners Say About Our Courses

underline
testimonialImg