Platform Engineering
Master Platform Engineering with real-world DevOps tools, Kubernetes, IaC, CI/CD, and observability for cloud-native roles. Become a Platform EngineerPreview Platform Engineering course
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About the Course: Platform Engineering – Self-Paced Online Course
Build Scalable, Self-Service Developer Platforms for the Future of Cloud and DevOps
In the modern software development lifecycle, speed, scalability, and stability are non-negotiable. Organizations across industries are shifting toward building self-service internal developer platforms (IDPs) that accelerate delivery and improve developer productivity. This transformation has given rise to a critical new discipline—Platform Engineering—and this course is designed to equip you with the practical skills and strategic mindset to lead in this space.
The Platform Engineering – Self-Paced Online Course offers a thorough, immersive learning experience that balances deep theoretical understanding with real-world, hands-on training. Whether you're a DevOps engineer, cloud architect, site reliability engineer, or an aspiring platform engineer, this course will help you master the tools, frameworks, and thinking necessary to design and implement robust, reusable, and scalable platforms.
You’ll explore the essential building blocks of platform engineering, including Infrastructure as Code (IaC), Kubernetes, observability tools like Grafana, CI/CD pipelines, container orchestration, and shell scripting. With each lesson, you’ll build toward the ultimate goal: enabling faster, more secure, and more efficient software delivery through internal platforms that reduce friction for developers and operations teams alike.
What Makes This Course Unique
Platform engineering is still an emerging discipline, and there are few structured learning programs that offer a complete, end-to-end understanding of its technical and strategic components. This course stands out in several key ways:
1. Designed for Real-World Impact
Rather than just walking through tool-specific tutorials, this course focuses on building platform capabilities that solve real-world business and technical problems. You’ll learn not just how to implement technologies like Kubernetes or Terraform, but why they matter in the context of platform design.
2. Integrated View of DevOps and Cloud Architecture
Most courses separate infrastructure, DevOps, and cloud-native principles. This course brings them together under the platform engineering umbrella, showing how these disciplines intersect and how to build unified solutions that support them all.
3. Focus on Self-Service and Developer Experience (DevEx)
At its core, platform engineering is about empowering development teams. This course emphasizes how to create platforms that are self-service, reusable, and optimized for developer workflows, enabling teams to deploy and iterate faster without sacrificing governance, security, or performance.
4. Hands-On and Practical Learning
You'll get your hands dirty with real-world projects and exercises—writing IaC, setting up monitoring dashboards, deploying Kubernetes clusters, scripting automation, and building CI/CD pipelines. Each module is crafted to reinforce concepts through practice.
5. Future-Focused Curriculum
The course goes beyond current tools and trends to prepare you for what’s next. You'll learn best practices for platform lifecycle management, cloud-native design patterns, and how to evolve your platform architecture to support microservices, multi-cloud environments, and hybrid systems.
How to Use This Course Effectively
To truly gain value from this course and transform your technical capabilities, follow these strategies as you work through the materials:
1. Set a Clear Goal for Your Learning Journey
Before you begin, define what success looks like for you. Are you aiming to shift into a platform engineering role? Do you want to strengthen your DevOps knowledge with platform-specific practices? Setting a clear goal will help you stay focused and tailor your learning accordingly.
2. Start at the Beginning—Even If You Have Experience
This course is designed to guide you from foundational principles to advanced concepts. Even if you’ve used tools like Docker, Terraform, or Kubernetes before, starting from the beginning ensures you gain a platform engineering mindset, not just technical know-how.
3. Engage with the Hands-On Labs and Projects
The practical labs are a central part of the course. Take the time to complete each one, experiment with the code, and explore variations on your own. These projects simulate real-world tasks and will help reinforce your learning more effectively than passive observation.
4. Document Your Journey
As you progress, create your own "Platform Engineering Playbook"—a personal reference document where you summarize tools, commands, patterns, and architecture designs. This not only reinforces learning but also gives you a portfolio-ready asset to showcase your skills.
5. Think Like a Platform Engineer
Don’t just focus on getting things to work—ask yourself: Is this scalable? Reusable? Secure? Developer-friendly? Platform engineering is as much about design thinking as it is about infrastructure. Use the course to develop strategic and architectural thinking.
6. Pause and Revisit as Needed
Some concepts, especially around observability or orchestration, can be complex. Rewatch lessons, retry exercises, and revisit modules when needed. The self-paced format allows for flexibility and depth.
7. Apply Skills to a Real-World Project
Once you're halfway through the course, try applying your new skills to an internal project or lab setup. Build a CI/CD pipeline, set up a Kubernetes cluster for your personal app, or automate infrastructure with Terraform. Practical application is where mastery begins.
8. Continue Learning After Completion
The field of platform engineering is constantly evolving. After finishing the course, stay engaged with open-source projects, cloud-native communities, and tooling updates. Use what you’ve learned here as a foundation for lifelong growth.
Platform engineering is transforming how software is built and delivered. This course is your gateway to mastering the tools and principles that power the modern cloud-native development environment. You’ll not only gain the technical skills to manage infrastructure, pipelines, and observability—you’ll also learn how to think like a platform engineer, creating systems that empower teams and accelerate innovation.
Whether you're aspiring to enter a platform engineering role, upskill as a DevOps professional, or lead a cloud architecture initiative, this course gives you the framework and hands-on experience you need to succeed.
With flexible, self-paced learning and a curriculum grounded in real-world applications, Platform Engineering – Self-Paced Online Course isn’t just another DevOps course—it’s a strategic investment in your ability to build the platforms of tomorrow. Welcome to the future of cloud-native software delivery.
Course/Topic - Course access through Google Drive
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Google Drive
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Google Drive
By the end of this course, learners will be able to:
- Understand the principles, benefits, and challenges of Platform Engineering.
- Master Infrastructure as Code using Terraform and Ansible.
- Design and manage CI/CD pipelines following industry best practices.
- Build and operate self-service platforms with APIs and automation.
- Implement robust observability with metrics, logging, and monitoring.
- Apply cloud-native concepts using Kubernetes and serverless architectures.
- Design secure and scalable platforms with lifecycle and documentation practices.
- Leverage tools like Jenkins, GitLab, OpenShift, and Grafana for real-time insights.
- Prepare resumes and ace interviews for platform engineering roles.
Course Syllabus
Module 1: Introduction to Platform Engineering
- Definition, evolution, and importance of Platform Engineering
- Key benefits, challenges, and future trends in the domain
Module 2: Core Concepts of Platform Engineering
- Infrastructure as Code (IaC): Tools like Terraform and Ansible
- CI/CD Pipelines: Components and best practices
- Self-Service Platforms and Platform APIs
- Platform Observability: Metrics, Logging, Monitoring
- Advanced Observability Concepts and Future Outlook
Module 3: Cloud-Native Engineering
- Fundamentals of Cloud-Native architectures
- Real-world use cases and future of Cloud-Native
- Kubernetes: Architecture, components, and management
- Container Orchestration and Deployment Strategies
- Serverless Computing: Use cases, pros, and cons
- Cloud Security Principles and Common Threats
Module 4: Design Principles and Scripting
- Platform Design Fundamentals
- Connecting platform engineering concepts across modules
- Introduction to Shell Scripting and Command Execution
- Working with Cocalc and scripting platforms
- Programming basics through CHMO
Module 5: Kubernetes and Platform Lifecycle
- Hands-on Kubernetes Implementation
- Platform Lifecycle: Planning, Development, Deployment, and Operations
Module 6: Observability with Grafana
- Introduction to Grafana for Observability
- Connecting Grafana with Automation and Visualization Tools
- Exploring Grafana Labs integrations
Module 7: DevOps & Tooling
- Jenkins: Overview and use in platform workflows
- Kubernetes-Jenkins Integration
- Implementing DevOps workflows
- Platform Documentation and Service Integration
- Introduction to RedHat OpenShift and GitLab CI/CD
Module 8: Real-World Examples & Career Preparation
- Real-life Platform Engineering scenarios
- Resume writing for platform and DevOps roles
- Common interview questions and framing answers
- Interview best practices and top questions
- LinkedIn strategy for cloud careers
Course Recap
- Key takeaways, review of concepts, and guidance for next steps
Upon successful completion, learners receive a Course Completion Certificate from Uplatz, validating their proficiency in Platform Engineering practices, tools, and lifecycle management.
This certification demonstrates your capability to build, manage, and scale cloud-native platforms—a valuable skill for DevOps, SRE, and platform roles. It also prepares learners for job-specific interviews and performance in real-world infrastructure teams.
This Platform Engineering course opens a path to high-impact roles in DevOps, Cloud Architecture, and internal platform development across leading tech companies.
Potential Job Roles:
- Platform Engineer
- DevOps Engineer
- Cloud Solutions Architect
- Infrastructure Automation Engineer
- Site Reliability Engineer (SRE)
- Kubernetes Administrator
- Observability Engineer
Industries Hiring Platform Engineers:
Technology, Finance, Healthcare, E-commerce, Telecom, SaaS Providers, Cloud Vendors, and more.
This course equips professionals with cross-functional skills highly valued in building scalable, secure, and efficient software delivery platforms.
- What is Platform Engineering and how does it differ from traditional DevOps?
Platform Engineering builds reusable internal platforms focused on self-service and developer productivity, unlike traditional DevOps which manages pipelines and deployments directly. - What are the benefits of using Infrastructure as Code (IaC)?
IaC ensures consistent environments, enables automation, version control, and reduces configuration drift in infrastructure management. - How would you design a self-service internal developer platform?
Use APIs, abstraction layers, service catalogs, and CI/CD automation to empower developers to deploy and manage services independently. - Explain the core components of a CI/CD pipeline.
Components include source control, build automation, testing, artifact repositories, deployment strategies, and rollback mechanisms. - What tools can you use for platform observability?
Grafana, Prometheus, ELK Stack, Datadog, and OpenTelemetry are commonly used for observability. - What is Kubernetes and how does it support Platform Engineering?
Kubernetes is a container orchestration platform that automates deployment, scaling, and management of applications, making it ideal for building resilient platforms. - What is the purpose of implementing monitoring and logging in a platform?
They provide visibility, alerting, and debugging capabilities, helping teams maintain platform reliability and performance. - How do you ensure platform security in cloud-native environments?
Use least privilege access, network policies, encrypted secrets, security scanning tools, and regular audits. - What is GitOps and how does it relate to Platform Engineering?
GitOps uses Git as the single source of truth for infrastructure and application deployment, enabling declarative, automated workflows. - How do you manage the lifecycle of a platform component?
Through planning, development, deployment, observability, and iterative improvements with continuous feedback loops.