Machine Learning

Machine Learning on Google Cloud

This course introduces participants to building, training, and deploying machine learning models using Google Cloud\'s powerful suite of tools. Covering key services such as Google Cloud AI Platform, BigQuery, and TensorFlow, the course teaches how to manage data, utilize cloud computing for large-scale models, and leverage Google Cloud’s infrastructure for machine learning workflows. Ideal for those looking to integrate machine learning into cloud environments, this course provides hands-on experience with cloud-based machine learning development and deployment.

  • 4/5.0
  • 15000 Students
  • Beginner
  • English
Course Description

This course introduces participants to building, training, and deploying machine learning models using Google Cloud\'s powerful suite of tools. Covering key services such as Google Cloud AI Platform, BigQuery, and TensorFlow, the course teaches how to manage data, utilize cloud computing for large-scale models, and leverage Google Cloud’s infrastructure for machine learning workflows. Ideal for those looking to integrate machine learning into cloud environments, this course provides hands-on experience with cloud-based machine learning development and deployment.

What you’ll learn
  • Comprehensive Learning Path: Step-by-step guide to mastering topics.
  • Interactive Learning: Engage with quizzes, discussions, and activities.
  • Skill Development: Improve technical and soft skills.
  • Flexible Learning: Learn at your own pace.
  • Career Advancement: Equip yourself for job market success.
  • Networking Opportunities: Connect with professionals and experts.
  • Practical Tools and Resources: Access industry-standard tools and resources.
  • Ongoing Support: Get continuous feedback and assistance.
  • Hands-On Projects: Complete real-world projects and tasks.
  • Final Certification: Earn a recognized course certification.

Each course is designed with the highest quality standards to ensure you gain valuable knowledge and practical skills. Whether you're exploring new areas or deepening your expertise, our courses offer a comprehensive learning experience. With detailed explanations, real-world examples, and expert guidance, you'll be equipped to apply what you've learned immediately. Join us and unlock new opportunities for growth and success

Overview of Google Cloud and its machine learning capabilities

Setting up a Google Cloud account and enabling the necessary APIs

Navigating the Google Cloud Console and Cloud SDK

Introduction to Google Cloud Storage for data storage and management

Using BigQuery for large-scale data processing and querying

Data preparation and preprocessing on Google Cloud using Cloud Dataprep

Overview of Google Cloud AI Platform (AI Hub, AI Notebooks)

Introduction to Google Cloud’s AutoML for custom model creation

Leveraging pre-built machine learning models for text, vision, and translation

Setting up and configuring TensorFlow on Google Cloud

Creating and training deep learning models with TensorFlow

Using TensorFlow Cloud for distributed training and scaling

Introduction to Google Cloud’s AI Platform for model training

Configuring AI Platform for distributed training with GPUs and TPUs

Using custom Docker containers for training on AI Platform

Deploying machine learning models to AI Platform for real-time predictions

Creating RESTful APIs for model deployment

Monitoring model performance and managing versioning with AI Platform

Introduction to Cloud ML Engine and building machine learning pipelines

Automating data processing, model training, and deployment workflows

Using Cloud Functions for serverless automation in machine learning pipelines

Best practices for scaling machine learning models on Google Cloud

Optimizing model performance and resource allocation with GCP

Using TensorFlow Lite for deploying models to mobile and edge devices

Best practices for version control and managing multiple models

Using Google Cloud’s AI Hub for model sharing and collaboration

Managing and tracking model experiments with MLflow on Google Cloud

Case studies of machine learning applications on Google Cloud in various industries (e.g., healthcare, finance, marketing)

Implementing end-to-end machine learning projects with Google Cloud

Strategies for integrating machine learning models into production environments

instructor-image

Amar verma

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About Instructor

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Inspiring Learning, One Step at a Time As an educator, your dedication transforms students' lives. Our platform is designed to empower you with tools, resources, and a community that values your expertise. Share your knowledge, inspire curiosity, and help learners achieve their dreams. Together, we build a brighter future, one lesson at a time.

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This course includes

  • Lectures 40 Classes
  • Duration Hours
  • Skills Beginner
  • Language English
  • Certificate Yes

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