Target Audience

This course is suitable for Cloud architects and Cloud engineers

COURSE AGENDA

Fundamentals

  • Understand the core features of the Apigee API management platform, and how it facilitates the management of APIs across various environments.
  • Explore the fundamental concepts and technologies involved in API management, including Google Cloud, Kubernetes, REST APIs, and Anthos, and how they integrate to provide a seamless platform for managing APIs.

Architecture

  • Learn about the hybrid runtime plane, the various components involved, and how networking functions in an Apigee hybrid environment.
  • Understand how organization structures are set up within Apigee, and how management APIs help you automate and control your API infrastructure.

Installation

  • Discover the steps required to set up and configure a hybrid API management platform using Apigee on Google Cloud.
  • Learn how to configure the runtime plane for Apigee on Google Kubernetes Engine (GKE) to manage API proxies and traffic.
  • Gain hands-on experience with tools that help you manage and deploy components of the Apigee platform effectively.

Deployment Management

  • Learn how to configure the environment for Apigee API proxies, including security, scalability, and traffic management settings.
  • Understand the process for deploying API proxies on Apigee, and how to optimize them for performance and reliability.
  • Discover strategies to expand your GKE environment to scale your Apigee deployment as your application grows.

Security

  • Learn about securing communication between different components of the Apigee platform using encryption and secure channels.
  • Explore the methods available for data encryption at rest and in transit to ensure API data security.
  • Understand how to implement RBAC in Apigee to manage and restrict access to different components of the platform based on user roles.

Capacity & Scaling

  • Learn how to plan the capacity of your runtime plane to handle varying workloads, ensuring performance under peak traffic.
  • Discover strategies to scale Apigee components dynamically based on demand, including autoscaling and capacity tuning.

Upgrade Management

  • Understand the process of applying software updates and patches to the Apigee platform, keeping your system secure and up-to-date.
  • Learn how to perform rolling updates to upgrade the Apigee platform without interrupting service availability.
  • Explore the steps for rolling back changes in case of issues during an update, ensuring system stability.

Monitoring

  • Learn how to configure logging and metrics collection to monitor the health and performance of your Apigee API proxies.
  • Discover how to manage and analyze API traffic data to gain insights into the usage and performance of your API environment.
  • Gain knowledge of the tools available for monitoring the health of various Apigee components and ensuring continuous uptime.
  • Learn the techniques and tools required to troubleshoot issues within the Apigee platform and optimize your API management process.

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Data Engineering -Foundations for Architecting Data Solutions – 1

Cloud Engineering-Google Cloud Fundamentals: Core Infrastructure -3

Machine Learning-Machine Learning on Google Cloud -12

Data Engineering- Data Engineering on Google Cloud -8

Cloud Engineering- Architecting with Google Compute Engine-4

Cloud Engineering- FinOps Foundations-2

Cloud Engineering- Deploying and Managing Windows Workloads on Google Cloud – 1

Business Decision Maker- FinOps Foundations-2

Business Decision Maker- Cloud Digital Leader-1

Business Decision Maker- Business Transformation with Google Cloud – 3

Machine Learning- Google Cloud Fundamentals: Big Data & Machine Learning-11

Machine Learning- Vertex AI Agent Builder-10

Machine Learning- Application Development with LLMs on Google Cloud-9

Machine Learning- Introduction to Developer Efficiency on Google Cloud-8

Machine Learning- Introduction to Responsible AI in Practice -7

Machine Learning- Vertex AI Model Garden -6

Machine Learning- Interactive Chat for Applications Using Gen AI Studio -5

Machine Learning- Developing Data Models with LookML -4

Machine Learning- Text Generation for Applications Using Gen AI Studio -3

Machine Learning- Data Integration with Cloud Data Fusion -2

Machine Learning- Managing Machine Learning Projects with Google Cloud -1

Cloud Networking- Networking in Google Cloud – 3

Cloud Networking- Google Cloud Fundamentals: Core Infrastructure – 2

Cloud Networking- Getting Started with Terraform for Google Cloud – 1

Cloud Security- Networking in Google Cloud – 3

Cloud Security- Security in Google Cloud – 2

Cloud Security- Google Cloud Fundamentals: Core Infrastructure – 1

Cloud DevOps Engineer – Logging, Monitoring and Observability in Google Cloud – 2

Cloud DevOps Engineer – Google Cloud Fundamentals: Core Infrastructure – 1

Data Engineering-From Data to Insights with Google Cloud -9

Data Engineering -Google Cloud Fundamentals: Big Data & Machine Learning – 7

Data Engineering -Migrating Teradata Users to BigQuery – 6

Data Engineering -Enterprise Database Migration – 5

Data Engineering -Data Warehousing with BigQuery: Storage Design, Query Optimisation, and Administration – 4

Data Engineering -Analysing and Visualising Data in Looker -3

Data Engineering -Google Cloud Fundamentals: Core Infrastructure – 2

Data Engineering -Foundations for Architecting Data Solutions – 1

Cloud Development -Getting Started with Google Kubernetes Engine – 4

Cloud Development -Developing Applications with Google Cloud – 3

Cloud Development -Google Cloud Fundamentals: Core Infrastructure – 2

Cloud Development -Application Development with Cloud Run – 1

Cloud Architecture -Architecting Hybrid Cloud Infrastructure with Anthos – 8

Cloud Architecture – Preparing for the Professional Cloud Architect Examination-7

Cloud Architecture – Architecting with Google Cloud: Design & Process – 6

Cloud Architecture – Architecting with Google Kubernetes Engine – 5

AI Cloud | AI Architect

Cloud Architecture – Google Cloud Fundamentals: Core Infrastructure – 3

Cloud Architecture – Deploying and Managing Windows Workloads on Google Cloud – 1

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