Google Cloud Digital LeaderThe Complete Beginner's Guide

Cloud Digital Transformation

Objective 1.1 · Digital Transformation

Benefits of Google Cloud

Objective 1.2 · Digital Transformation

The Cloud Digital Transformation Journey

Objective 1.1

Open Source and Open Standards at Google Cloud

Objective 1.2

FinOps and Financial Governance of Cloud

Objective 1.2

Cloud vs On-Premises Total Cost Analysis

Objective 1.2

Google Cloud Sustainability and Carbon Neutrality

Objective 1.2

Cloud Innovation Mindset and Culture Change

Objective 1.1

Cloud Maturity Model and Readiness Assessment

Objective 1.1

Change Management for Cloud Adoption

Objective 1.1

Building a Cloud ROI Business Case

Objective 1.2

Traditional IT vs Cloud Operations Model

Objective 1.1

Google Workspace: Gmail, Docs, Drive, Meet

Objective 1.2

Cost Optimisation Strategies on GCP

Objective 1.2

Rightsizing and Resource Optimisation

Objective 1.2

Carbon Footprint Dashboard and Net-Zero Goals

Objective 1.2

Google Cloud Partner Ecosystem

Objective 1.2

Cloud Talent and Skills Development

Objective 1.1

Cloud Economics: Capex to Opex

Objective 1.2

Google Cloud Support Plans and SLAs

Objective 1.2

Google Cloud Certification Paths

Objective 1.1

Google Cloud Next Features and Announcements

Objective 1.1

Google Cloud Infrastructure

Objective 2.1 · Infrastructure

Compute Options on Google Cloud

Objective 2.2 · Infrastructure

Storage on Google Cloud

Objective 2.3 · Infrastructure

Networking on Google Cloud

Objective 2.4 · Infrastructure

Security on Google Cloud

Objective 2.5 · Infrastructure

Data Sovereignty and Compliance on Google Cloud

Objective 2.5

Google Cloud Regions, Zones, and Network PoPs

Objective 2.1

High Availability: 99.9% vs 99.99% vs 99.999%

Objective 2.1

Compute Comparison: VMs vs Containers vs Serverless

Objective 2.2

Managed Services vs Unmanaged Services on GCP

Objective 2.2

Kubernetes Concepts for Non-Technical Leaders

Objective 2.2

Choosing the Right Database on GCP

Objective 2.3

NoSQL vs Relational Databases on Google Cloud

Objective 2.3

GCP Network: VPC, Subnets, and Firewalls

Objective 2.4

Cloud CDN and Google's Global Network

Objective 2.4

Private Service Connect and Private Access

Objective 2.4

IAM Concepts: Principals, Roles, and Bindings

Objective 2.5

BeyondCorp Zero Trust at Google

Objective 2.5

Cloud Audit Logging and Compliance

Objective 2.5

GCP Compliance: ISO, SOC2, FedRAMP, HIPAA

Objective 2.5

Shared Responsibility Model on GCP

Objective 2.5

Hybrid and Multi-Cloud Strategy

Objective 2.1

Google Cloud Console and Cloud Shell

Objective 2.1

Data Security: Encryption and Access Controls

Objective 2.5

Google Cloud Privacy and Trust Principles

Objective 2.5

GCP SLAs and Uptime Guarantees

Objective 2.1

GCP Storage Options: Blob, Block, File, Archive

Objective 2.3

BigQuery and Data Analytics

Objective 3.1 · Data Analytics AI

Machine Learning on Google Cloud

Objective 3.2 · Data Analytics AI

Vertex AI and Generative AI

Objective 3.3 · Data Analytics AI

Google's AI Principles and Ethics

Objective 3.2

Looker for Business Intelligence

Objective 3.1

Building a Data-Driven Culture

Objective 3.1

Generative AI for Business Leaders

Objective 3.3

Data Types and Analytics Workloads

Objective 3.1

ETL and ELT Pipelines on Google Cloud

Objective 3.1

BigQuery: Serverless Analytics Overview

Objective 3.1

Looker Studio (Data Studio) for Visualisation

Objective 3.1

Data-Driven Decision Making in Business

Objective 3.1

Structured vs Unstructured Data Analytics

Objective 3.1

Real-Time Analytics with Pub/Sub and Dataflow

Objective 3.1

ML Lifecycle: Data, Training, Deployment

Objective 3.2

AutoML: Building ML Without Coding

Objective 3.2

Pre-Trained AI Models on Google Cloud

Objective 3.2

AI Bias, Fairness, and Explainability

Objective 3.2

Responsible AI Framework

Objective 3.2

Vertex AI Studio for Generative AI

Objective 3.3

Google Gemini Models and Multimodal AI

Objective 3.3

PaLM API and Google AI APIs

Objective 3.3

Duet AI for Developers and Workspace

Objective 3.3

AI Use Cases: NLP, Vision, Prediction, Search

Objective 3.3

Data Lifecycle Management on Google Cloud

Objective 3.1

Generative AI Risks and Mitigations

Objective 3.3

LLM Concepts: Tokens, Context, Fine-Tuning

Objective 3.3

RAG and Grounding Generative AI Responses

Objective 3.3

Vertex AI Platform Deep Dive

Objective 3.3

Google Natural Language API

Objective 3.2

Google Vision API Use Cases

Objective 3.2

Google Translation and Speech APIs

Objective 3.2

Google Cloud Data Catalog

Objective 3.1

Modernizing Applications with GCP

Objective 4.1 · Apps

Containers and Kubernetes on GCP

Objective 4.2 · Apps

DevOps on Google Cloud

Objective 4.3 · Apps

Google Workspace Productivity Suite

Objective 4.1

Migration Strategies: Lift-and-Shift, Modernize, Rebuild

Objective 4.1

Google Cloud Marketplace

Objective 4.1

App Modernisation Approaches: Refactor, Rehost, Rebuild

Objective 4.1

Microservices Architecture Benefits

Objective 4.1

API-First Development Strategy

Objective 4.1

DevOps: Continuous Integration and Delivery

Objective 4.3

Site Reliability Engineering (SRE) Principles

Objective 4.3

GitOps and Infrastructure as Code

Objective 4.3

Observability: Logging, Monitoring, and Tracing

Objective 4.3

Cloud Run for Serverless Containers

Objective 4.2

Anthos for Hybrid and Multi-Cloud Apps

Objective 4.3

Enterprise Search with Google Cloud

Objective 4.1

Apigee API Management Platform

Objective 4.1

Firebase for Mobile and Web Apps

Objective 4.1

Google Maps Platform for Location Services

Objective 4.1