Google Cloud Fundamentals: Core Training

Description:

This course introduces participants to the core concepts and services of Google Cloud Platform (GCP), providing a strong foundation for cloud adoption and usage. It is designed for beginners who want to understand cloud computing concepts and how they are applied within GCP.

The training covers GCP global infrastructure, compute, storage, networking, and database services, alongside practical demonstrations of IAM, billing, and resource management. Participants will gain a holistic understanding of GCP’s key services and architectural patterns.

Hands-on labs allow learners to navigate the GCP Console and Cloud Shell, configure IAM policies, create virtual machines, and deploy applications using App Engine and Kubernetes Engine. Data storage labs with Cloud Storage and databases further reinforce learning.

By the end of this training, participants will be able to confidently use the GCP Console and CLI, deploy basic workloads, secure resources, and design simple architectures. This course serves as a stepping stone toward role-based certifications such as Associate Cloud Engineer.

By the end of the training, participants will be able to design, train, and deploy scalable ML solutions on AWS SageMaker, manage model performance, and apply best practices to build AI-powered applications. The program also provides a strong foundation for professionals preparing for the AWS Machine Learning Specialty certification.

Duration: 3 Days

Course Code: BDT 521

Learning Objectives:

After this training, participants will be able to:

1. Understand GCP’s global infrastructure and service model
2. Navigate the GCP Console and Cloud Shell
3. Deploy and manage computing, storage, and networking resources
4. Apply IAM roles, billing, and monitoring best practices

1. IT professionals and system administrators new to GCP
2. Developers and technical managers exploring cloud adoption
3. Business leaders evaluating Google Cloud capabilities
4. Learners preparing for Associate Cloud Engineer certification

1. Basic understanding of IT systems and networking
2. Familiarity with Linux or Windows administration
3. No prior GCP experience required
4. An active Google Cloud Free Tier account for labs

Course Outline:

Module 1: Welcome to GCP Fundamentals

1. What is cloud computing?
2. GCP architecture and network
3. Regions, zones, and pricing innovations
4. Multi-layered security

Module 2: Resource Hierarchy and IAM

1. Resource hierarchy in GCP
2. IAM roles and policies
3. Cloud Marketplace
4. Demo: Getting Started with Cloud Launcher

Module 3: Virtual Private Cloud (VPC) and Compute

1. VPC overview and capabilities
2. Computer Engine basics
3. Demo: Getting Started with Compute Engine

Module 4: Storage Options

1. Cloud Storage and interactions
2. Bigtable, Cloud SQL, Spanner, Datastore
3. Comparing storage options
4. Demo: Getting Started with Cloud Storage and Cloud SQL

Module 5: Containers and Kubernetes

1. Introduction to Kubernetes and Kubernetes Engine
2. Demo: Getting Started with Kubernetes Engine

Module 6: App Engine and Application Services

1. App Engine Standard vs Flexible Environment
2. Cloud Endpoints and Apigee Edge
3. Demo: Getting Started with App Engine

Module 7: Development and Monitoring in the Cloud

1. Infrastructure as code with Deployment Manager
2. Monitoring with Stack driver
3. Demo: Getting Started with Deployment Manager and Monitoring

Module 8: Big Data and Machine Learning

1. Cloud Dataflow and Big Query
2. Cloud Pub/Sub and Data lab
3. Machine Learning APIs
4. Demo: Getting Started with Big Query

Training material provided: Yes (Digital format)