I built this guide to give you a clear path from beginner-level technology fundamentals to practical Cloud and DevOps skills. You do not need to know everything today. Stay consistent, complete the labs, build the projects, and keep moving forward.
Work through one stage at a time. Keep your notes and projects in GitHub, complete the assigned labs, and make sure you can explain what you built in your own words. Do not rush just to say you finished. When a topic feels difficult, slow down, repeat the lab, and ask questions. That is part of becoming good at this.
Each phase builds on the phase before it. The detailed PDFs below include the week-by-week curriculum, labs, projects, and certification preparation.
Learn how computers work, become comfortable in Linux, and start using GitHub from day one.
Understand how devices communicate and how to diagnose common connectivity problems.
Learn core cloud services and the basics of generative artificial intelligence.
Design secure, scalable, resilient, and cost-aware AWS environments.
Build a security mindset and learn to protect users, systems, networks, and cloud resources.
Package applications into containers and deploy and troubleshoot them in Kubernetes.
Bring everything together into one production-style platform you can demonstrate in interviews.
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Your starting point for computer fundamentals, Linux administration, Bash scripting, troubleshooting, Git, GitHub, and Linux Essentials preparation.
Learn networking concepts, subnetting, DNS, DHCP, routing, switching, firewalls, Wireshark, Packet Tracer, and practical troubleshooting.
Introduces AWS, cloud services, identity and access, monitoring, generative AI, foundation models, Amazon Bedrock, and responsible AI.
Build architecture skills across networking, compute, storage, databases, serverless, high availability, security, and cost optimization.
Covers access control, encryption, PKI, network security, risk management, incident response, cloud security, and certification review.
Learn container fundamentals, Dockerfiles, Compose, Kubernetes workloads, networking, storage, RBAC, cluster operations, and troubleshooting.
Your final guide combines Terraform, CI/CD, AWS, Docker, Kubernetes, monitoring, security, documentation, and a production-style capstone project.
These hand-picked videos reinforce each phase of the roadmap. Peter can select any thumbnail or the Watch on YouTube link to open the lesson in a new tab.
▶TechWorld with Nana explains what DevOps is and how it differs from SRE.
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▶A practical overview of the skills and stages involved in becoming a cloud engineer.
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▶A beginner-friendly Linux course covering the interface, command line, and core administration tools.
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▶Learn repositories, commits, branches, GitHub, SSH keys, and the basic development workflow.
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▶A college-level networking course that also supports preparation for CompTIA Network+.
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▶A complete certification course covering artificial intelligence, machine learning, generative AI, and AWS services.
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▶Build from a first prompt toward practical generative-AI applications using Amazon Bedrock.
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▶A full SAA-C03 preparation course focused on secure, resilient, high-performing AWS architecture.
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▶A structured beginner course aligned to the current CompTIA Security+ exam objectives.
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▶Learn images, containers, registries, networking, volumes, Docker Compose, and practical workflows.
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▶Move from Kubernetes fundamentals to deploying and operating real application workloads.
Watch on YouTube →
▶Learn Terraform by building and automating AWS infrastructure from beginner to advanced concepts.
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▶Learn the core GitHub Actions concepts and create a CI/CD pipeline that works with Docker.
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▶Understand continuous integration and deployment through practical, real-world examples.
Watch on YouTube →