Learn Google Cloud

Introduction

Hey there, future Google Cloud pro! Ready to dive into the world of cloud computing with one of the most powerful platforms out there? This course is your ticket to mastering Google Cloud, whether you’re just starting out or looking to level up your skills. We’ll start with the basics—what Google Cloud is, why it’s so impactful, and how to set up your first project. Then, we’ll dive into more advanced topics like managing virtual machines, configuring networking, and setting up automated workflows. By the end of this course, you’ll be able to deploy, manage, and scale your own cloud infrastructure with confidence.

What You’ll Learn:

Beginner:

Session 1: Introduction to Google Cloud
What is Google Cloud, and why should you care? We’ll explore the core concepts and services, and get your Google Cloud environment set up so you’re ready to begin.

Session 2: Virtual Machines (Compute Engine)
Learn how to launch and manage virtual machines on Google Cloud, including setting up instances, configuring storage, and connecting to your VM.

Session 3: Cloud Storage Basics
Data storage is key in the cloud. We’ll cover the basics of Google Cloud Storage, including how to store, retrieve, and manage your data efficiently.

Session 4: Networking and VPC
Networking is essential in cloud computing. You’ll get an introduction to Google’s Virtual Private Cloud (VPC) and how to configure networking for your cloud environment.

Session 5: Cloud IAM (Identity and Access Management)
Security matters! In this session, you’ll learn how to control access to your resources using Google Cloud IAM to manage users and permissions effectively.

Session 6: Introduction to Google Kubernetes Engine (GKE)
We’ll give you a beginner-friendly introduction to containers and Google Kubernetes Engine, showing you how to deploy and manage containerized applications in the cloud.

Intermediate:

Session 7: Advanced Compute Engine Features
Take your Compute Engine knowledge further by learning how to configure instance groups, auto-scaling, and load balancing to optimize performance.

Session 8: Cloud Functions
Serverless computing is the future! You’ll learn how to use Google Cloud Functions to run code in response to events without needing to manage servers.

Session 9: BigQuery Basics
Ready to dive into big data? This session will introduce you to BigQuery, Google’s powerful data warehousing solution, and show you how to query large datasets efficiently.

Session 10: Cloud Pub/Sub
Learn how to set up Cloud Pub/Sub for real-time messaging and event-driven architectures, enabling your services to communicate efficiently across the cloud.

Session 11: Google Cloud AI and Machine Learning Tools
Explore Google Cloud’s AI and machine learning tools, including how to set up and run pre-trained models or train your own models using AI Platform.

Session 12: Monitoring and Logging with Stackdriver
Learn how to monitor your cloud infrastructure and applications using Google Cloud’s Stackdriver. We’ll cover setting up logs, alerts, and dashboards for optimal cloud performance.

By the end of this course, you’ll be able to:

• Set up and manage Google Cloud resources from virtual machines to cloud storage.
• Build and deploy secure, scalable applications on Google Cloud.
• Use advanced cloud services like Cloud Functions, BigQuery, and Kubernetes.
• Optimize your infrastructure with networking, monitoring, and automation tools.

Let’s get started on your Google Cloud journey together. You’ll be amazed at what you can build and scale in the cloud!

Career Opportunities

1. Cloud Architect
   • Role: Design and manage scalable cloud architecture for applications and services.
   • Responsibilities: Assess and recommend cloud solutions, integrate cloud services, and ensure security and compliance.
2. Data Engineer
   • Role: Design and build data pipelines and data processing systems.
   • Responsibilities: Manage large datasets, ensure data quality, and leverage Google Cloud tools like BigQuery and Dataflow.
3. DevOps Engineer
   • Role: Facilitate collaboration between development and operations teams to enhance software development lifecycle (SDLC).
   • Responsibilities: Automate deployments, manage CI/CD pipelines, and optimize cloud resources.
4. Cloud Security Engineer
   • Role: Ensure security measures are in place for cloud environments.
   • Responsibilities: Implement security policies, perform risk assessments, and conduct audits.
5. Cloud Consultant
   • Role: Provide expert advice on cloud strategy, implementation, and optimization.
   • Responsibilities: Analyze client needs, develop cloud migration plans, and recommend solutions.
6. Site Reliability Engineer (SRE)
   • Role: Maintain and improve the reliability and performance of cloud services.
   • Responsibilities: Monitor systems, troubleshoot issues, and implement automation to improve efficiency.
7. Cloud Support Engineer
   • Role: Provide technical support and troubleshooting for Google Cloud services.
   • Responsibilities: Assist clients with service issues, document solutions, and collaborate with engineering teams.

Projected Growth

• Overall Cloud Computing Market Growth: According to Gartner, the worldwide public cloud services market is projected to grow from $500 billion in 2020 to over $1 trillion by 2025, indicating significant opportunities for professionals with cloud skills.
• Job Market for Cloud Professionals: The demand for cloud professionals is expected to grow by 22% from 2020 to 2030, which is much faster than the average for all occupations, as organizations continue to migrate to cloud platforms.
• Google Cloud Specific Growth: Google Cloud Platform (GCP) has been gaining significant market share, and its growth rate is expected to continue as more enterprises adopt GCP services for their IT needs. This trend results in increased demand for certified professionals.

Average Salary

• Cloud Architect:
  • Average Salary: $130,000 – $180,000 per year
• Data Engineer:
  • Average Salary: $110,000 – $150,000 per year
• DevOps Engineer:
  • Average Salary: $100,000 – $140,000 per year
• Cloud Security Engineer:
  • Average Salary: $120,000 – $160,000 per year
• Cloud Consultant:
  • Average Salary: $100,000 – $150,000 per year
• Site Reliability Engineer:
  • Average Salary: $120,000 – $160,000 per year
• Cloud Support Engineer:
  • Average Salary: $80,000 – $120,000 per year

Conclusion

Earning a Google Cloud certification can significantly enhance your career prospects, with various roles offering strong salary potential and excellent job growth. As organizations continue to migrate to cloud environments, professionals with the right skills and certifications will be in high demand, making this a lucrative career path.