This course is designed to provide a comprehensive introduction to Google's cloud computing

platform. The course covers key concepts and tools essential for navigating, deploying, and

managing services on Google Cloud. You will learn to leverage Google Cloud to host

applications, store data, and use machine learning tools. Through hands-on labs, real-world

scenarios, and practical exercises, this course will equip you with the foundational knowledge

required to build and manage cloud-based applications.

Whether you're a beginner in cloud computing or a professional looking to expand your

knowledge of Google Cloud, this course provides the perfect stepping stone to mastering the

platform's services.

Who should take this course?

- IT professionals seeking cloud computing skills

- Developers learning cloud deployment and management

- Data engineers exploring Google Cloud tools for big data

- Project managers involved in cloud-based projects

- Students or career changers interested in cloud technologies

What You Will Learn

- Google Cloud Fundamentals: Learn about the main components of Google Cloud.

- Google Cloud Console & Interface: Understand how to navigate and use the Google Cloud

Console.

- Compute Engine: Deploy and manage virtual machines on Google Cloud.

- Cloud Storage & Databases: Explore Google Cloud's storage solutions, such as Cloud

Storage, SQL, and NoSQL databases.

- Networking and Security: Configure networks, firewall rules, and secure resources.

- Big Data T ools: An Introduction to BigQuery and Dataflow.

- Machine Learning and AI: Basic understanding of using Google’s AI and ML tools.

- Cloud Automation: Utilise tools like Cloud SDK and APIs to automate tasks.

Course Curriculum

Module 1: Introduction to Google Cloud

- Overview of Cloud Computing

- What is Google Cloud Platform?

- Google Cloud's Global Infrastructure

Module 2: Google Cloud Console & Navigation

- Getting Started with Google Cloud Console

- Managing Projects and Billing

- Understanding Cloud IAM (Identity and Access Management)

Module 3: Compute Services

- Introduction to Compute Engine

- Creating and Managing Virtual Machines

- Configuring Auto-scaling and Load Balancing

Module 4: Cloud Storage and Databases

- Google Cloud Storage Basics

- Working with Cloud SQL and Cloud Spanner

- NoSQL with Firestore

Module 5: Networking and Security

- VPC (Virtual Private Cloud) Basics

- Configuring Firewalls and Security Rules

- Cloud DNS and Content Delivery Networks (CDN)

#### Module 6: Big Data and Machine Learning

- Introduction to Big Data Solutions on Google Cloud

- Working with BigQuery

- Using AI and Machine Learning APIs

Module 7: Automation and Monitoring

- Introduction to Google Cloud SDK

- Monitoring with Stackdriver

- Using Cloud APIs for Automation

Module 8: Case Study and Hands-on Lab

- Real-world project deploying an application on Google Cloud

- Hands-on Labs

This course will give you practical experience with Google Cloud services and prepare you for

advanced Google Cloud certifications. By the end of this course, you will be comfortable with

Google Cloud and deploying scalable solutions.