By the end of this course, learners will be able to:

1. Understand the principles, benefits, and challenges of Platform Engineering.
2. Master Infrastructure as Code using Terraform and Ansible.
3. Design and manage CI/CD pipelines following industry best practices.
4. Build and operate self-service platforms with APIs and automation.
5. Implement robust observability with metrics, logging, and monitoring.
6. Apply cloud-native concepts using Kubernetes and serverless architectures.
7. Design secure and scalable platforms with lifecycle and documentation practices.
8. Leverage tools like Jenkins, GitLab, OpenShift, and Grafana for real-time insights.
9. 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:

1. Platform Engineer
2. DevOps Engineer
3. Cloud Solutions Architect
4. Infrastructure Automation Engineer
5. Site Reliability Engineer (SRE)
6. Kubernetes Administrator
7. 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.

1. 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.
2. 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.
3. 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.
4. Explain the core components of a CI/CD pipeline.
   Components include source control, build automation, testing, artifact repositories, deployment strategies, and rollback mechanisms.
5. What tools can you use for platform observability?
   Grafana, Prometheus, ELK Stack, Datadog, and OpenTelemetry are commonly used for observability.
6. 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.
7. 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.
8. How do you ensure platform security in cloud-native environments?
   Use least privilege access, network policies, encrypted secrets, security scanning tools, and regular audits.
9. 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.
10. How do you manage the lifecycle of a platform component?
    Through planning, development, deployment, observability, and iterative improvements with continuous feedback loops.

1. What is Platform Engineering?
   It’s the practice of designing and building internal platforms for developers that abstract infrastructure complexities and enhance productivity.
2. Who should take this course?
   Cloud architects, DevOps engineers, SREs, and IT professionals looking to specialize in platform-centric design and automation.
3. Is this course suitable for beginners?
   Yes, it begins with fundamentals and gradually introduces advanced platform engineering topics.
4. Is this a hands-on course?
   Yes, it includes real-world examples, scripting, Kubernetes implementations, and tool integrations.
5. Will I get a certificate upon completion?
   Yes, you’ll receive a Course Completion Certificate from Uplatz.
6. How long do I have access to the content?
   You get lifetime access to all materials and updates.
7. Does this course prepare me for job interviews?
   Yes, it includes dedicated sessions on resume writing, mock questions, and interview preparation.
8. What tools are covered in this course?
   Terraform, Ansible, Jenkins, Kubernetes, Grafana, GitLab, OpenShift, and more.
9. Is there any prerequisite for joining this course?
   Basic understanding of cloud, scripting, or DevOps is helpful but not mandatory.
10. Can I use this course to transition into a platform engineering role?
    Absolutely. The course is designed to help you move into platform-focused roles from traditional IT, DevOps, or cloud backgrounds.