DevOps Engineering on Cloud
Learn DevOps practices on cloud platforms to automate workflows, build CI/CD pipelines, and manage scalable applications using tools like Docker and Kubernetes.
Overview
The DevOps Engineering on Cloud Certification Training is designed to help professionals build the skills needed to develop, deploy, and manage applications efficiently in modern cloud environments. It focuses on combining development and operations practices to enable faster delivery, automation, and improved system reliability.
This course covers key DevOps concepts such as CI/CD pipelines, infrastructure as code, containerization, orchestration, and monitoring. Participants will gain hands-on experience working with tools and platforms like Amazon Web Services, Microsoft Azure, and Google Cloud Platform, along with Docker and Kubernetes.
With a strong focus on real-world application and automation, the training equips learners to streamline development workflows, improve collaboration between teams, and build scalable, reliable systems in cloud-based environments.
Course Outline
- DevOps culture, principles, and lifecycle
- DevOps vs traditional development
- Overview of cloud platforms: Amazon Web Services, Microsoft Azure, Google Cloud Platform
- DevOps in cloud environments
- Git fundamentals and workflows
- Branching strategies (Git Flow, trunk-based development)
- Collaboration using GitHub / GitLab
- Managing repositories and pull requests
- CI concepts and pipeline design
- Jenkins pipelines (Declarative and Scripted)
- GitHub Actions workflows
- Automated testing and build management
- CD concepts and release strategies
- Blue-Green and Canary deployments
- Pipeline automation and optimization
- Deployment automation on cloud platforms
- Docker fundamentals and architecture
- Building, tagging, and managing images
- Docker networking, volumes, and best practices
- Publishing images to Docker Hub / registries
- Kubernetes architecture and components
- Deployments, services, and scaling
- ConfigMaps, Secrets, and resource management
- Managing workloads in production environments
- IaC concepts and benefits
- Terraform / CloudFormation basics
- Provisioning infrastructure on cloud
- Managing environments and state
- Tools: Ansible (primary focus)
- Automating server configuration and deployments
- Managing infrastructure consistency
- Writing playbooks and automation scripts
- Monitoring tools: Prometheus, Grafana
- Logging and alerting strategies
- Observability concepts (metrics, logs, traces)
- Troubleshooting production systems
- Integrating security into CI/CD pipelines
- Vulnerability scanning and code security
- Secrets management and IAM concepts
- Security best practices in cloud environments
- Deploying applications on cloud platforms
- Managing cloud resources and scaling
- Artifact management (Docker Hub / registries)
- Cost optimization and performance tuning
- Introduction to Site Reliability Engineering (SRE)
- SLIs, SLOs, and SLAs
- Incident management and reliability practices
- Improving system availability and performance
- Build an end-to-end DevOps pipeline
- CI/CD + Docker + Kubernetes + Cloud deployment
- Implement monitoring, logging, and security
- Final project presentation and expert feedback
- DevOps interview preparation
- Resume and portfolio building
- Industry best practices and workflows
- Career guidance and roadmap
Who Should Attend
- Aspiring DevOps Engineers looking to build job-ready cloud and automation skills
- Software Developers who want to streamline development and deployment using DevOps practices
- System Administrators transitioning into DevOps and cloud roles
- Cloud Engineers working with platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform
- IT professionals aiming to automate infrastructure and improve delivery pipelines
- Site Reliability Engineers (SREs) focusing on system reliability and performance
- QA/Test Engineers looking to integrate automation into CI/CD pipelines
- Professionals preparing for DevOps or cloud-related certifications
- Individuals looking to transition into high-demand DevOps and cloud careers
- Anyone interested in learning CI/CD, Docker, Kubernetes, and infrastructure automation
Certification
- The DevOps Engineering on Cloud Certification Training validates your ability to design, implement, and manage modern DevOps workflows across leading cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
- Participants will earn a course completion certification that demonstrates hands-on expertise in CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), infrastructure as code (Terraform), monitoring, and DevSecOps practices.
- Assessment is practical and project-based, including hands-on labs, assignments, and a capstone project where learners build and deploy a complete DevOps pipeline. Final evaluation is based on real-world implementation and performance rather than theoretical exams.
- In addition to the course certification, the training prepares participants for globally recognized credentials such as AWS DevOps Engineer, Azure DevOps Engineer, and Kubernetes certifications, strengthening career opportunities in DevOps, cloud engineering, and site reliability roles.
- Upon completion, learners receive a certificate, practical project portfolio, and real-world experience, enabling them to confidently apply DevOps practices, enhance their professional credibility, and advance into high-demand cloud and automation careers.
Benefits
The Apache Kafka Course Certification Training by Grasp Skill provides hands-on experience in building real-time data pipelines and stream processing applications. You’ll learn Kafka’s architecture, producers, consumers, clusters, and advanced integrations with Spark, Hadoop, and Flink. This course is designed for data engineers, developers, and architects aiming to manage large-scale data streams efficiently.
About Trainer
- Big Data Engineer and Certified Kafka Specialist with over 10 years of experience in designing, deploying, and managing real-time data streaming solutions across global enterprises.
Learning Outcomes
- Understand core DevOps principles, culture, and lifecycle in cloud environments
- Build and manage CI/CD pipelines using tools like Jenkins and GitHub Actions
- Use version control systems (Git) for collaboration and code management
- Create and manage containerized applications using Docker
- Deploy and orchestrate applications using Kubernetes
- Implement Infrastructure as Code (IaC) using tools like Terraform
- Automate configuration management using tools such as Ansible
- Monitor, log, and troubleshoot applications using tools like Prometheus and Grafana
- Apply DevSecOps practices to integrate security into development pipelines
- Deploy and manage applications on cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform
- Understand SRE concepts including SLIs, SLOs, and system reliability
- Build an end-to-end DevOps pipeline as part of a capstone project
- Gain practical, job-ready skills for DevOps, cloud, and SRE roles
Student Reviews
"“This course helped me understand the complete DevOps pipeline. The hands-on labs with Docker and Kubernetes were extremely valuable.”"
"This course provided exactly the right mix of theory and hands-on practice. Setting up Kafka clusters and working with stream processing was made so easy by the trainer’s guidance."
"“The course is very practical and job-focused. I learned how to automate deployments and manage cloud infrastructure efficiently.”"
"“This training covered everything from Git to cloud deployment. The instructor made complex topics easy to understand.”"
Frequently Asked Questions
This course provides comprehensive, hands‑on training in Apache Kafka, teaching you how to build real‑time data streaming applications, handle event streaming architectures and work with core Kafka components like producers, consumers, topics, partitions and brokers.
It’s ideal for software developers, data engineers, system architects, DevOps professionals and IT specialists who want to advance their skills in building scalable, real‑time data pipelines and event‑driven systems.
You’ll learn Kafka fundamentals, installation and configuration, message publishing and consumption, stream processing with Kafka Streams, Kafka Connect for data integration and best practices for monitoring, scaling and securing Kafka clusters.
Basic experience with programming (e.g., Java, Python) and familiarity with Linux/command line will help you get the most from the course, but beginners with interest in distributed data systems can also benefit from guided instruction.
Yes, the training includes practical exercises, real‑world use cases and labs so you can apply Kafka concepts and build working streaming solutions.
Yes, upon successful completion, you’ll receive a course completion certification that validates your Apache Kafka knowledge and practical skills.
The course is delivered through interactive instructor‑led sessions with demos, code walkthroughs and practice labs designed to reinforce learning and build confidence.
This course boosts your ability to design and build real‑time, scalable data pipelines, enhances your eligibility for roles like Data Engineer, Kafka Developer, Streaming Architect and strengthens your technical profile in data‑driven organizations.
Recordings of live sessions are often provided, so you can review content later and stay on track with your learning goals.
Yes, the Apache Kafka course can be delivered as in‑house training for teams and organizations looking to upskill multiple staff in real‑time data streaming technologies.
Yes. The online training is accessible worldwide.
Yes, there will be an assessment of 20 questions based on the training topics at the end of the course, you will have to score 75% to pass.
You will get 2 attempts to pass the test.
Group discounts are available to groups of more than three candidates. You can get up to 20% discount depending on the number of participants.
Yes, if you notify at least 24 hours in advance before the 1st class of the training and there is an availability in a different batch then you will be able to switch your start date.
Our courses are designed to provide high quality learning and outcomes that exceed expectations. If for some reason your expectations are not met. You will be given a refund in accordance with our 100% satisfaction policy.
You will receive meeting login for Zoom live classes and training materials.
All the participants will be added to WhatsApp/SMS group and email thread. You can clarify doubts at any time via WhatsApp, SMS or email.
Yes, we provide mentorship, doubt resolution and guidance for assessment preparation.
The digital certificate is issued immediately upon passing the assessment.
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