GCP Certification DevOps
GCP DevOps Certification Training: Master the Cloud and Automate Your Workflows
GCP Certification DevOps
The GCP Certification in DevOps is an essential credential for professionals looking to validate their skills in implementing and managing continuous delivery and automation processes on Google Cloud Platform. As organizations increasingly adopt cloud technologies, the demand for proficient DevOps practitioners who can streamline operations, enhance collaboration between development and IT teams, and improve application delivery speed is on the rise. This certification demonstrates an individual’s ability to leverage GCP tools and services to automate operations, monitor performance, and maintain security, making it a valuable asset for career advancement in the competitive tech landscape. It not only enhances one's technical expertise but also equips professionals to drive innovation and efficiency within their organizations.
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The GCP Certification in DevOps is an essential credential for professionals looking to validate their skills in implementing and managing continuous delivery and automation processes on Google Cloud Platform. As organizations increasingly adopt cloud technologies, the demand for proficient DevOps practitioners who can streamline operations, enhance collaboration between development and IT teams, and improve application delivery speed is on the rise. This certification demonstrates an individual’s ability to leverage GCP tools and services to automate operations, monitor performance, and maintain security, making it a valuable asset for career advancement in the competitive tech landscape. It not only enhances one's technical expertise but also equips professionals to drive innovation and efficiency within their organizations.
Course Overview
The ‘GCP Certification DevOps’ course at JustAcademy offers a comprehensive exploration of Google Cloud Platform's tools and services tailored for DevOps professionals. Participants will learn essential concepts such as continuous integration and deployment (CI/CD), infrastructure as code (IaC), and monitoring practices, all while engaging in real-time projects to solidify their understanding. This course is designed to equip learners with the practical skills and knowledge necessary to optimize workflows, enhance collaboration between development and operations teams, and ensure seamless application delivery on GCP. Upon completion, students will be well-prepared to pursue the GCP DevOps certification and advance their careers in cloud-based project management.
Course Description
The ‘GCP Certification DevOps’ course at JustAcademy provides an in-depth understanding of integrating Google Cloud Platform (GCP) within a DevOps framework. Participants will explore key principles and tools used for continuous integration and continuous deployment (CI/CD), infrastructure as code (IaC), and effective monitoring solutions. Through hands-on projects, learners will gain real-world experience in deploying and managing applications on GCP, enhancing collaboration between development and operations teams. This course aims to equip professionals with the necessary skills to efficiently streamline workflows, optimize cloud environments, and successfully prepare for the GCP DevOps certification, ultimately boosting their career prospects in the cloud computing domain.
Key Features
1 - Comprehensive Tool Coverage: Provides hands-on training with a range of industry-standard testing tools, including Selenium, JIRA, LoadRunner, and TestRail.
2) Practical Exercises: Features real-world exercises and case studies to apply tools in various testing scenarios.
3) Interactive Learning: Includes interactive sessions with industry experts for personalized feedback and guidance.
4) Detailed Tutorials: Offers extensive tutorials and documentation on tool functionalities and best practices.
5) Advanced Techniques: Covers both fundamental and advanced techniques for using testing tools effectively.
6) Data Visualization: Integrates tools for visualizing test metrics and results, enhancing data interpretation and decision-making.
7) Tool Integration: Teaches how to integrate testing tools into the software development lifecycle for streamlined workflows.
8) Project-Based Learning: Focuses on project-based learning to build practical skills and create a portfolio of completed tasks.
9) Career Support: Provides resources and support for applying learned skills to real-world job scenarios, including resume building and interview preparation.
10) Up-to-Date Content: Ensures that course materials reflect the latest industry standards and tool updates.
Benefits of taking our course
Functional Tools
1 - Google Kubernetes Engine (GKE)
Google Kubernetes Engine is a powerful tool for managing containerized applications in a scalable manner. With GKE, students learn how to deploy, manage, and orchestrate containers using Kubernetes. This platform simplifies the complexities of running Kubernetes, allowing participants to focus on building applications rather than managing infrastructure. GKE supports rapid development and continuous deployment, enabling students to implement DevOps practices effectively in real world scenarios.
2) Cloud Build
Cloud Build is a fully managed continuous integration and continuous delivery (CI/CD) platform that automates the process of building and testing software. Students will use Cloud Build to create pipelines that highlight how to automate building, testing, and deploying applications. This tool seamlessly integrates with multiple source control systems like GitHub and Bitbucket, providing a streamlined workflow that enhances productivity and reduces time to deployment.
3) Cloud Pub/Sub
This messaging service plays a crucial role in developing event driven architectures within the Google Cloud ecosystem. Participants will understand how Cloud Pub/Sub facilitates real time messaging between independent applications, enabling seamless communication and event driven processing. This tool helps students learn about asynchronous communication patterns, which promote flexibility and scalability in application design.
4) Stackdriver Monitoring and Logging
Stackdriver Monitoring and Logging are essential for maintaining the health and performance of cloud applications. Students will learn how to implement monitoring and logging to track metrics, monitor application health, and detect anomalies. Understanding how to use these tools allows participants to proactively identify issues and improve system reliability, ensuring optimal performance of their applications.
5) Google Cloud Storage
Google Cloud Storage is a secure and scalable object storage service. In this course, students will explore how to store and manage data in the cloud, making it accessible for applications and analytics. Participants will learn about data lifecycle management, versioning, and security best practices, which are essential for managing large volumes of data effectively in a cloud environment.
6) Cloud Functions
Cloud Functions are serverless computing solutions that allow developers to run code in response to events triggered by cloud services. This course introduces students to the concepts of event driven programming and microservices architecture through Cloud Functions. Participants will understand how to deploy lightweight, single purpose functions that automatically scale based on demand, reducing infrastructure management overhead and enhancing development agility.
7) Anthos
Anthos is Google Cloud's hybrid and multi cloud application platform that allows users to manage applications across various environments. In this course, students will learn how to deploy applications consistently on premises and in the cloud using Anthos. Understanding this tool equips participants with the skills to implement hybrid cloud strategies, ensuring flexibility and optimized resource utilization.
8) Terraform
Terraform is an open source infrastructure as code (IaC) tool that allows developers to define and provision data center infrastructure using a declarative configuration language. This course will teach students how to use Terraform with Google Cloud Platform to automate the setup and management of infrastructure, enabling them to achieve consistent and repeatable environments while minimizing manual configurations.
9) Google Cloud IAM (Identity and Access Management)
Google Cloud IAM allows participants to manage access to Google Cloud resources securely. Students will gain an understanding of how to define roles and permissions, ensuring that only authorized users have access to critical data and services. Learning IAM is essential for maintaining the security and integrity of cloud applications and for complying with regulatory requirements. This knowledge is vital in a DevOps context, where collaboration and security are both top priorities.
10) BigQuery
BigQuery is Google Cloud’s fully managed, serverless data warehouse designed to enable fast SQL queries and analysis of large datasets. In this course, students will learn how to use BigQuery for data analytics, understand its architecture and features, and leverage its powerful capabilities to perform complex queries efficiently. This hands on experience with real time data analysis prepares participants for roles in data engineering and analytics.
11 - Dataflow
Google Cloud Dataflow is a fully managed service for stream and batch data processing that enables students to develop data pipelines with Apache Beam. This course focuses on building robust data processing workflows, allowing participants to perform transformations, aggregations, and enrichments on data in real time. Through practical projects, students will understand how to optimize performance and utilize various data sources and sinks effectively.
12) Cloud Spanner
Cloud Spanner is a fully managed relational database service designed for horizontal scalability and strong consistency. In this course, participants will explore the architecture and features of Cloud Spanner, learn how to design and implement database schemas, and execute SQL queries. This knowledge is vital for students aiming to develop applications that require high availability and scalability in cloud environments.
13) Firestore
Firestore is a scalable, flexible NoSQL database for mobile, web, and server development from Firebase and Google Cloud. This course provides hands on experience with Firestore, covering its real time data synchronization, offline capabilities, and security features. Students will learn how to use Firestore for building modern applications that require seamless data management and user engagement.
14) Cloud Run
Cloud Run is a fully managed compute platform that enables students to run containers in a serverless environment. This course will teach participants how to deploy and manage containerized applications without worrying about infrastructure management. Students will learn to benefit from automatic scaling and billing based on usage, making it an ideal solution for microservices architecture and rapid application development.
15) AI and Machine Learning with Google Cloud
This course introduces students to Google Cloud’s AI and machine learning services, including AutoML, TensorFlow, and BigQuery ML. Participants will learn how to train, evaluate, and deploy machine learning models on Google Cloud, equipping them with the necessary skills to work on AI driven projects and enhancing their capabilities in data science and analytics.
16) Secret Manager
Google Cloud Secret Manager is a secure and convenient way to store API keys, passwords, certificates, and other sensitive data. This course will cover best practices for using Secret Manager to protect secrets and manage access control. Students will gain insights on how to integrate Secret Manager into their applications, ensuring that sensitive information is handled securely.
17) Load Balancing
Students will explore Google Cloud’s load balancing solutions in this course, learning how to distribute traffic across multiple resources to ensure high availability and improved performance. Participants will understand different types of load balancers (HTTP(S), SSL Proxy, TCP Proxy, and internal) and how to implement them effectively to optimize resource utilization and enhance user experience.
18) Cloud System Networking
Understanding networking fundamentals in Google Cloud is crucial for deploying applications securely and efficiently. In this course, students will learn about Virtual Private Cloud (VPC), subnets, IP addressing, and cloud VPN. They will also explore topics like network security, firewall rules, and load balancing, equipping them with skills necessary for managing secure application architectures in the cloud.
19) Apigee API Management
Apigee is a complete API management platform that helps students learn how to design, secure, and analyze APIs. This course will cover API design best practices, implementation of security protocols, and monitoring of API usage. Participants will gain hands on experience in creating and managing APIs that allow different applications to interact seamlessly and securely.
20) User Experience (UX) Design
This course delves into the principles of UX design, focusing on creating user centered applications. Students will learn about user research, wireframing, prototyping, and usability testing. By applying UX design principles in real time projects, participants will develop skills that improve user satisfaction and engagement in their applications.
Each of these points enhances the overall learning experience at JustAcademy, providing students with a comprehensive understanding of the Google Cloud ecosystem and preparing them for successful careers in cloud computing and related fields.
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This information is sourced from JustAcademy
Contact Info:
Roshan Chaturvedi
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