Learn DevOps and DevSecOps free, from zero to job-ready
Qevanta Learnings needs JavaScript for lessons, quizzes and progress tracking. Please enable it. The learning path covers:
- Linux fundamentals: Almost every server you will touch runs Linux. Learn to move around, manage files, users, permissions, processes and services from the terminal.
- Shell scripting with Bash: Turn anything you did by hand into a reliable script: health checks, backups, log reports and deployments.
- Networking for DevOps: You cannot debug cloud systems without networking. Learn IPs, ports, DNS, HTTP, subnets and how load balancers and reverse proxies work.
- Git and GitHub: Git is how teams change code and infrastructure safely. Every pipeline you build starts with a commit.
- Docker and containers: Package an app and everything it needs into an image that runs the same on your laptop, in CI and in production.
- Kubernetes: Run containers at scale with self-healing, rolling updates and autoscaling. Kubernetes is the most requested skill in DevOps job posts.
- AWS cloud: AWS is the most used cloud in DevOps jobs. Learn the core services, how they connect, and how to design for security, high availability and cost.
- Terraform (Infrastructure as Code): Describe infrastructure in code, review it in pull requests and recreate whole environments in minutes.
- Ansible (configuration management): Configure many servers the same way, every time. Terraform creates servers; Ansible configures what runs on them.
- CI/CD pipelines: Automate build, test, scan and deploy on every commit. This is the heart of the DevOps job.
- Monitoring and observability: You cannot fix what you cannot see. Collect metrics, logs and traces, build dashboards and send alerts people actually act on.
- SRE, automation and security basics: The skills that make you look like a 3+ year engineer: security in the pipeline, incident handling, automation with Python and clear communication.
- Security fundamentals: What DevSecOps protects and why: core security principles, the most common web vulnerabilities, threat modeling, and the cryptography every engineer must know.
- Secure code: SAST, SCA and DAST: Automatically find vulnerabilities in your own code (SAST), in the open-source libraries you use (SCA), and in the running app (DAST), then gate the pipeline on what matters.
- Secrets management: Leaked credentials are behind a large share of cloud breaches. Keep secrets out of code, store them centrally, rotate them, and detect leaks fast.
- Container and Kubernetes security: Secure images, the cluster, workloads and runtime. This stage follows the CKS (Certified Kubernetes Security Specialist) syllabus in practical form.
- AWS cloud security: Most cloud breaches come from misconfiguration and weak identity. Build a secure AWS baseline covering identity, logging, threat detection, encryption and network protection.
- IaC security and policy as code: Catch insecure cloud configuration before it is deployed by scanning Terraform, Kubernetes YAML and Dockerfiles, and by writing your own rules as code.
- Software supply chain security: Attacks like SolarWinds, Codecov and the xz backdoor targeted build systems and dependencies. Prove what is inside your software, and that it really came from your pipeline.
- Security operations and compliance: Detect, respond and prove it: centralised security logging, incident response playbooks, and the compliance frameworks auditors and customers ask about.
More free career programs
- Generative AI & Prompt Engineering: Work with large language models, build autonomous AI agents, and automate real workflows.
- Machine Learning & Deep Learning: Build predictive models and neural networks in Python with scikit-learn, TensorFlow and PyTorch.
- Full-Stack Web Development: Build complete web apps on the client and server with the MERN stack or Java Spring Boot.
- Mobile App Development: Create native or cross-platform apps with Flutter, React Native, Swift or Kotlin.
- Data Science & Big Data Engineering: Statistical modelling, predictive analytics, data pipelines and processing massive datasets with Hadoop and Spark.
- Data Analytics: Learn metrics, reporting and database queries with Excel, SQL and Power BI or Tableau.
- Business Intelligence (BI): Combine operational data analysis with business strategy to guide senior decisions.
- Cybersecurity & Ethical Hacking: Network defence, threat hunting, encryption and legal, authorised penetration testing.
- Cloud Computing (AWS / Azure / Google Cloud): Architectural planning, virtualisation, cloud database scaling and multi-cloud strategy.
- UI/UX Design & Product Design: Interface layouts, interactive prototyping and design research with Figma.
- Digital Content Creation & Video Editing: Video scripting, graphics, dynamic editing and brand storytelling across visual media.
- Digital Marketing & Performance Analytics: SEO, social media growth and budget management for paid ad campaigns, measured with analytics.
- Product Management (PM): Product lifecycle design, feature prioritisation roadmaps, and aligning engineering with business metrics.
- Project Management (PMP / Agile / Scrum): Process planning, cross-functional milestone coordination and agile delivery frameworks.
- Account Management & Business Development: Client retention, commercial negotiation, B2B sales cycles and CRM mastery with Salesforce.
- FinTech & Modern Corporate Finance: Digital banking, payments, cryptocurrency applications, risk management and quantitative finance.
- Healthcare Administration & Hospital Operations: Clinical data tracking, regulatory compliance and operational workflow supervision in medical institutions.
- Renewable Energy & Green Technology Management: Clean-energy transition models, sustainability tracking and environmental resource policy.