Google Cloud Digital Leader Training

After attending our Cloud Digital Leader course candidates will  understand the capabilities of Google Cloud core products and services and how they can be leverage by their organizations. Candidates will also be able to articulate common business use cases and how cloud solutions support the business. The Cloud Digital Leader exam is job-role agnostic and does not require hands-on experience with Google Cloud.

Section 1: Introduction to digital transformation with Google Cloud

1.1  Explain why cloud technology is revolutionizing business

Define key terms such as cloud, cloud technology, data, and digital transformation

1.2 Explain why it is critical for businesses to adopt new technology

Compare and contrast cloud technology and traditional or on-premises technology

Describe how customer expectations have changed because of cloud technology

Identify the business and technical considerations that organizations need to think about when adopting cloud technology, including: infrastructure; application and business platform modernization; the importance of data; security in the cloud

Section 2: Innovating with data and Google Cloud

2.1 Describe the role of data in digital transformation and the importance of a data-driven culture

Explain how cloud technology enables data to be applied in new ways

2.2 Identify common Google Cloud solutions for data management

Recognize examples of structured and unstructured data

2.3. Identify common Google Cloud solutions for smart analytics

Articulate the business benefits of storing data in the cloud

Apply appropriate business use cases for databases, data warehouses, and data lakes

Explain the benefits of Google Cloud data products, including: Looker, BigQuery, Cloud Spanner, Cloud SQL, Cloud Storage

2.4. Identify Google Cloud’s solutions for machine learning and AI

Define artificial intelligence (AI) and machine learning (ML)

Outline the importance of data quality in ML prediction accuracy

Describe Google Cloud’s differentiators with regard to AI and machine learning

Recognize the ways customers can use Google Cloud’s AI and ML solutions to create business value

Section 3: Infrastructure and application modernization

3.1 Learn what modernizing IT infrastructure with Google Cloud means

Explain why legacy infrastructure struggles to deliver modern services to customers

Explain the benefits of modernizing infrastructure with cloud technology

Differentiate between hybrid and multicloud infrastructures

Differentiate between virtual machines, containers, and serverless computing within business use cases

Identify the Google Cloud solutions that help businesses modernize their infrastructure

3.2 Understand modernizing applications with Google Cloud

Describe the business drivers for modernizing applications

Describe the benefits of using cloud-native applications

Apply the appropriate change pattern to different business use cases

Explain the benefits of Google Kubernetes Engine, Anthos, and App Engine for application development

3.3 Understand the value of APIs

Explain how application programming interfaces (APIs) can modernize legacy systems

Describe how APIs can create new business value

Explain the benefits of Apigee

Section 4: Understanding Google Cloud security and operations

4.1 Describe financial governance in the cloud and Google Cloud's recommended best practices for effective cloud cost management

Explain how adopting cloud technology affects the total cost of ownership (TCO)

Identify the cost management strategy needed in a given business scenario

4.2 Describe a cloud security approach and Google Cloud security benefits

Define fundamental cloud security terms, including privacy, availability, security, and control

Explain what is meant by a shared responsibility model

Describe the security benefits of using Google Cloud

Identify today's top cybersecurity challenges and threats to data privacy

Demonstrate how organizations can control and manage access to cloud resources

4.3 Explain how IT operations need to adapt to thrive in the cloud

Differentiate service availability requirements in the cloud versus in on-premises environments

Describe the operational challenges that DevOps solves

Apply the goals of site reliability engineering (SRE) to different business use cases

4.4 Identify Google Cloud solutions for cloud resource monitoring and application performance management

Explain the potential impact of unexpected or prolonged downtime

Define monitoring, logging, and observability within the context of cloud operations

Identify the Google Cloud resource monitoring and maintenance tools.

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