Professional Cloud Developer Training

Live Online & Classroom Enterprise Training

The path includes serverless platforms (Cloud Run, Functions, Firebase), containerization (Docker, GKE), CI/CD, API security, and AI-assisted development tools. Completing this path prepares learners for the Google Cloud Certified – Professional Cloud Developer exam

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CloudLabs
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Real-time code analysis and feedback

What is Professional Cloud Developer Training about?

The Cloud Developer Learning Path prepares learners to design, build, analyze, and maintain cloud-native applications on Google Cloud. It covers application development foundations, service orchestration, serverless development, containerization, Firebase, APIs with Apigee, and AI-powered coding with Gemini.

What are the objectives of Professional Cloud Developer Training ?

Understand Google Cloud fundamentals and application development best practices.
Build, deploy, and manage containerized and serverless applications.
Orchestrate microservices using Eventarc, Workflows, and Cloud Tasks.
Integrate applications with Firebase, Cloud Run, and Apigee APIs.
Leverage Gemini Code Assist and AI APIs to accelerate development.

Who is Professional Cloud Developer Training for?

Software developers transitioning to cloud-native development.
Application engineers building scalable, secure apps on Google Cloud.
DevOps professionals supporting CI/CD and cloud deployments.
API developers working with Apigee and secure service integration.
Learners pursuing the Professional Cloud Developer certification.

What are the prerequisites for Professional Cloud Developer Training?

- Basic programming knowledge (e.g., Python, Java, or Node.js).
- Familiarity with web/app development concepts.
- Understanding of fundamental cloud computing concepts.
- Experience with version control (e.g., Git).
- Willingness to work in hands-on labs on Google Cloud console.

Available Training Modes

Live Online Training

5 Days

Self-Paced Training

50 Hours

Course Outline Expand All

Expand All

Module 1: A Tour of Google Cloud Hands-on Labs

Navigate the Google Cloud console.

Manage projects, resources, and IAM users.

Assign roles and permissions.

Enable and use APIs.

Module 2: Google Cloud Fundamentals: Core Infrastructure

Core compute and storage services.

Identity and policy management.

Google Cloud networking basics.

Hands-on resource management.

Module 3: Developing Applications with Google Cloud: Foundations

Cloud application development best practices.

Selecting compute and data services.

Intro to generative AI in development.

Hands-on app building exercises.

Module 4: Service Orchestration and Choreography on Google Cloud

Event-driven application design.

Using Workflows and Eventarc.

Managing microservices with Cloud Tasks.

Scheduling with Cloud Scheduler.

Module 5: Developing Applications with Cloud Run Functions

Introduction to Cloud Functions.

Writing event-driven serverless functions.

Handling HTTP requests and events.

Deploying and testing Cloud Run functions.

Module 6: Streamline App Development with Gemini Code Assist

Overview of Gemini Code Assist.

Intelligent code suggestions and auto-completion.

Real-time debugging and error detection.

Refactoring and productivity optimization.

Module 7: Developing Containerized Applications on Google Cloud

Building and securing container images.

Introduction to Docker and Kubernetes.

Running containers on Cloud Run.

Deploying on Google Kubernetes Engine

Module 8: Developing Applications with Cloud Run: Fundamentals

Introduction to Cloud Run platform.

Understanding service identity and roles.

Container lifecycle in Cloud Run.

Access control for Cloud Run services.

Module 9: Integrating Applications with Gemini 1.0 Pro on Google Cloud

Introduction to Gemini API.

Exploring Gemini 1.0 Pro models.

Using AI-powered app integrations.

Applying generative AI in workflows.

Module 10: Develop Serverless Apps with Firebase

Building web apps with Firebase.

Firestore database integration.

Cloud Build for CI/CD automation.

Google Assistant integration.

Module 11: Deploy Kubernetes Applications on Google Cloud

Configure Docker images for GKE.

Create and manage GKE clusters.

Use kubectl for cluster management.

Deploy Kubernetes workloads.

Module 12: Develop Serverless Applications on Cloud Run

Cloud Run integration with Cloud Storage.

Building resilient async systems with Pub/Sub.

Creating REST API gateways.

Deploying scalable serverless apps.

Module 13: Develop and Secure APIs with Apigee X

Modernizing APIs with Apigee X.

Secure API access with service accounts.

Implementing authentication mechanisms.

Best practices for API lifecycle management.

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Who is the instructor for this training?

The trainer for this Professional Cloud Developer Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Professional Cloud Developer Training - Certification & Exam

After completing this course, you can take the below certifications: Google Cloud Professional Cloud Developer Certification

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