Cloud & DevOps Engineering Masterclass
Automating Infrastructure, Scaling Applications, and Streamlining Deployment Pipelines
DevOps - Problem Solving
⚙️ DevOps
DevOps is more than just a set of practices — it’s a culture that bridges the gap between development and operations. At its core, DevOps is about problem-solving: identifying bottlenecks, automating repetitive tasks, and ensuring smooth collaboration across teams.
🔮 The Future of DevOps
As organizations adopt AI-driven tools, DevOps will evolve into AIOps, where machine learning helps predict failures, optimize resources, and automate decision-making. The future of DevOps problem solving lies in proactive, intelligent systems that minimize downtime and maximize efficiency.
📝 Conclusion
DevOps is not just about tools — it’s about solving problems collaboratively and efficiently. With a 30-minute focused study, you can grasp the fundamentals of DevOps problem-solving and start applying them to real-world projects.
Cloud & DevOps Engineering - 30 Day Agenda
Cloud & DevOps Engineering
Subtitle: Automating Infrastructure, Scaling Applications, and Streamlining Deployment Pipelines
Description: This 30-day intensive program equips learners with the skills to design, deploy, and manage modern cloud-native applications. Covering cloud fundamentals, CI/CD automation, containerization, Kubernetes orchestration, monitoring, and enterprise deployment strategies, the course blends theory with hands-on labs and culminates in a capstone project.
📅 30-Day Agenda
Week 1: Cloud Fundamentals
- Day 1–2: Introduction to Cloud Computing – AWS, Azure, GCP overview
- Day 3–4: Virtual Machines, Networking, and Storage
- Day 5–6: IAM & Security Basics
- Day 7: Mini-project: Deploy a simple web app on AWS
Week 2: DevOps Foundations
- Day 8–9: Introduction to DevOps – Principles & Practices
- Day 10–11: CI/CD Pipelines – GitHub Actions, Jenkins
- Day 12–13: Infrastructure as Code – Terraform & Ansible
- Day 14: Case study discussion
Week 3: Containerization & Orchestration
- Day 15–16: Docker Basics – Images, Containers, Volumes
- Day 17–18: Kubernetes Fundamentals – Pods, Services, Deployments
- Day 19–20: Advanced Kubernetes – Helm, Operators, Scaling
- Day 21: Mid-program assessment
Week 4: Monitoring, Security & Capstone
- Day 22–23: Monitoring & Logging – Prometheus, Grafana, ELK Stack
- Day 24–25: Cloud Security & Compliance – Best Practices
- Day 26–27: Capstone Project Development – End-to-end CI/CD + Kubernetes deployment
- Day 28–29: Project presentations & peer review
- Day 30: Final assessment, certification, and roadmap for continuous learning
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