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Cloud Computing & DevOps Career Accelerator
The Cloud Computing & DevOps Career Accelerator is a free, hands-on 24-week curriculum designed to equip learners with essential cloud and DevOps skills.
Earn Recognized Certifications at No Cost
Boost your resume with free credentials.
Real-World Experience Through Internships
Learn by doing with engaging projects.
Two Courses In One!
🎓Program Structure
The program emphasizes real-world job readiness, offering structured lessons, practical labs, certifications, and internship simulations. Participants will master leading cloud platforms (AWS, Azure, GCP), automate infrastructure with Terraform and Kubernetes, and build CI/CD pipelines using Jenkins and GitHub Actions.
Upgrade Your Skills for Career Advancement
Improve your skills for future roles.
Direct Links to Potential Employers
Network with leading industry professionals.
Stage 1 – Foundations: Linux, Networking & Cloud Core
Learners start with Linux for Cloud Professionals, mastering CLI commands, permissions, package management, and basic Bash scripting. Next, they dive into Networking Fundamentals, exploring TCP/IP, DNS, firewall configurations, subnetting, and key networking tools like netstat, nmap, and traceroute
Stage 2 – Cloud Platform Mastery (AWS, Azure, GCP)
Learners explore identity management, resource provisioning, and monitoring tools, gaining hands-on experience with IAM, VM instances, networking configurations, and billing alerts across the three major cloud providers. By the end of this stage, participants will be proficient in deploying, securing, and optimizing cloud infrastructure in multi-cloud environments, preparing them for real-world DevOps and cloud engineering roles.
Stage 3 – DevOps Essentials: Git, CI/CD, Containers
Learners master Git workflows, including branching, merging, and pull requests, to enhance collaboration and code management. They then build CI/CD pipelines using Jenkins and GitHub Actions, streamlining software deployment. Finally, the course covers Docker fundamentals, enabling students to create, manage, and scale containers for cloud-native applications. By the end of this stage, participants will be proficient in automating development workflows and deploying containerized applications efficiently.
Stage 4 – Infrastructure Automation & Provisioning
Learners explore Infrastructure-as-Code (IaC) principles, provisioning cloud resources with Terraform, and automating configurations using Ansible playbooks. The stage covers module creation, state management, and CI/CD integration, ensuring scalable, repeatable deployments across AWS and Azure. By the end, participants will be equipped to automate cloud infrastructure with best practices in orchestration, deployment, and configuration management.
Stage 5 – Monitoring, Observability & Incident Response
Learners design log pipelines using Elastic and FluentD, implement monitoring with Prometheus and Grafana, and configure incident response automation with AlertManager. By the end, participants will be equipped to proactively detect, troubleshoot, and resolve infrastructure issues, maintaining high availability and performance.
Stage 6 – Capstone, Portfolio & Job Preparation
Learners build end-to-end cloud solutions, refine their technical portfolios, and undergo mock interviews to prepare for DevOps and cloud engineering roles. The stage includes resume optimization, job search strategies, and recruiter connections, ensuring participants are fully equipped for career advancement.