Google Cloud training

Developing APIs with Google Cloud's Apigee API Platform

In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API life cycle, and how the Apigee API platform helps you manage all aspects of the life cycle. You learn how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform.

  • Duration: 3 days
  • Languages: English, German
  • Level: Introductory
  • Group size: Up to 16

What you'll learn

  • Explore and put into practice API design, development, and management concepts.
  • Describe the fundamentals of REST API design.
  • Describe API products and strategies, and how to publish them to a developer portal.
  • Describe Apigee terminology and its organizational model.
  • Discuss user authentication, authorization, and the importance of API security.
  • Identify capabilities to secure, scale, and manage APIs.
  • Discuss platform capabilities for mediation, traffic management, caching, and fault handling.
  • Describe the value and use of API analytics.
  • Describe deployment options for the Apigee platform.
  • Interact directly with the Apigee API Platform.

Prerequisites

  • Familiarity with HTTP, XML, JSON, and JavaScript is helpful.

Course outline

Apigee Overview
  • Define application placement and the role of API Management in modern development.
  • Define logical components and organizational structure of the Apigee API platform.
  • Differentiate between Apigee flexible deployment models.
  • Explain the API lifecycle.
API-First and OpenAPI Specifications
  • Describe the fundamentals of REST API design.
  • Describe the value of API-first development and how to apply it.
API Proxies
  • Define the building blocks of APIs and API proxies.
  • Describe how API proxies work and the role of flows, policies, route rules, environment groups, and target servers.
  • Describe how APIs are exposed and how proxies connect to backend systems.
  • Generate an API proxy using an OpenAPI specification.
  • Run an API proxy in different environments and troubleshoot using the Apigee debug tool.
API Products
  • Define API products and API product strategies.
  • Describe the role of developers, applications, and API keys in API management.
  • Describe the API publication process, responses, and status codes.
  • Publish APIs as products.
Authentication, Authorization, and OAuth
  • Discuss the importance of API security and the role of user authentication/authorization.
  • Discuss main components of OAuth and its application in API design.
  • Discuss federated identity and the use of JSON Web Tokens (JWT).
  • Apply OAuthV2 policy for secure API proxy access.
Content, Transport, and Internal Security
  • Explore platform capabilities for protecting against content-based attacks.
  • Discuss transport security and protecting connections to backend services.
  • Protect sensitive data using KVMs, data masking, and private variables.
  • Prevent internal users from gaining unauthorized access.
Mediation
  • Describe out-of-the-box capabilities for mediation and fault handling.
  • Describe implementation patterns and policies for JSON, XML, and SOAP.
  • Discuss extensibility options using Service Callouts, JavaScript, and Java.
  • Explore practices to reuse, share, and enforce execution of flows and policies.
Traffic Management
  • Describe when and how to use traffic management.
  • Evaluate use cases for rate limiting with spike arrests and quotas.
  • Describe caching strategy and its application.
API Publishing
  • Describe API Publishing strategy, process, and versioning.
  • Describe the role of developer portals in the API lifecycle.
  • Create, configure, and use a developer portal.
Logging and Analytics
  • Discuss available options for message logging.
  • Discuss the value and use of API analytics.
Advanced Topics
  • Discuss recommended practices and tooling for Apigee offline development and CI/CD.
  • Describe the Apigee deployment options.

Related courses

Developing Applications with Google Cloud

In this 3-day instructor-led course, you learn the fundamentals of application development on Google Cloud. You learn best practices for designing cloud applications, and how to choose compute and data options for your apps. The curriculum covers authentication and authorization, generative AI for developers, and continuous integration and delivery for apps running in Google Cloud. You also explore event-based applications and the use of service orchestration and choreography to coordinate microservices. Additionally, you learn about Cloud Functions, which allows you to implement single-purpose functions that respond to HTTP requests and process events within your cloud infrastructure.

  • Duration: 3 days
  • Languages: English, German
  • Level: Introductory

Application Development with LLMs on Google Cloud

In this course, you'll dive into the details of using Large Language Models (LLMs) in your applications. You'll start by exploring the core principles that underpin prompting LLMs. Next, you will focus on Google's latest family of models, Gemini. You'll explore the various Gemini models and their multimodal capabilities. This includes a deep dive into effective prompt design and engineering within the Vertex AI Studio environment. Then, the course moves to application development frameworks and how to implement these concepts into your applications.

  • Duration: 1 day
  • Languages: English, German
  • Level: Intermediate

Gemini Code Assist Essentials

This course provides a comprehensive overview of Gemini Code Assist, an AI-powered tool designed to significantly enhance software development workflows. Participants will learn how Gemini Code Assist can improve coding efficiency, reduce errors, and accelerate the software delivery lifecycle.The course will cover core features such as intelligent code completion, advanced code generation, and powerful smart actions, along with best practices for integrating Gemini Code Assist into various development environments.Fundamental concepts in AI-assisted coding and software development lifecycle optimization will be explored through practical demonstrations and real-world application scenarios.

  • Duration: 3 hours
  • Languages: English, German
  • Level: Intermediate

Not sure which course fits?

Book a 30-minute call. We'll look at where your team is, what they need to be able to do, and put together either a specific course date or a tailored learning plan.