DevOps Bootcamp
Transform your tech skills into a career in DevOps with our hands-on bootcamp to automate deployments, manage infrastructure, and launch your career with real-world projects.
- Duration12 Weeks
- FormatOnline, instructor-led
- On completionCertificate
Course overview
The DevOps Bootcamp is an intensive course designed to equip aspiring DevOps engineers, developers, and IT professionals with the practical skills and tools needed to build, deploy, automate, and monitor modern software systems.
- 100% Online
- 3-month Internship Placement
- Job referrals
- Certificate of Course Completion
What you'll learn
Automate Infrastructure and Configuration
Use Terraform and Ansible to define and manage infrastructure as code, automating configuration and deployment processes.
Master Containerization and Orchestration
Containerize applications with Docker and manage containerized environments using Kubernetes for seamless deployment and scaling.
Build CI/CD Pipelines and Implement GitOps
Set up and automate Continuous Integration/Continuous Delivery (CI/CD) pipelines with Jenkins and GitHub Actions, and manage infrastructure using GitOps principles.
Monitor, Secure, and Optimize Systems
Monitor applications with Prometheus and Grafana, integrate security practices with DevSecOps, and optimize cloud resources for cost-efficiency and scalability.
Curriculum
9 modules · 12 Weeks01Introduction to DevOps & System Fundamentals
- - What is DevOps? (History, Evolution, and Culture) - DevOps vs. Traditional IT: Benefits and Challenges - DevOps Collaboration & Agile Practices - Linux Fundamentals for DevOps - Version Control with Git & GitHub
02Infrastructure as Code (IaC) with Terraform
- - IaC Overview: Terraform vs. CloudFormation vs. Ansible - Terraform Basics: HCL, Providers, Resources, State Management - Multi-Environment Deployments (Terraform Workspaces, Modules)
03Configuration Management & Automation
- - Ansible: Playbooks, Roles, Inventory, Ansible Vault - Automating Infrastructure (Ansible + Terraform)
04Containerization with Docker
- - Docker Fundamentals: Images, Containers, Networking, Storage - Docker Compose for Multi-Container Applications
05Kubernetes & Container Orchestration
- - Kubernetes Architecture (Pods, Deployments, Services, RBAC) - Networking, Storage, and Security - Kubernetes Workloads & Scaling (HPA, ConfigMaps, Secrets)
06Continuous Integration & Continuous Deployment (CI/CD)
- - CI/CD Pipeline Overview (Jenkins, GitHub Actions, GitLab CI/CD) - GitOps & Declarative Infrastructure (ArgoCD, FluxCD) - Blue-Green & Canary Deployments
07Monitoring, Logging, Observability & Chaos Engineering
- - Monitoring & Logging (Prometheus, Grafana, ELK, Loki) - Chaos Engineering & Resilience Testing (Gremlin, Chaos Mesh) - Site Reliability Engineering (SRE) (SLIs, SLOs, Error Budgets) - AI/ML in DevOps (Predictive Analytics, Self-Healing Pipelines)
08DevSecOps & Security Best Practices
- - DevSecOps Culture & Secure CI/CD - Infrastructure Security & Secrets Management (HashiCorp Vault) - Container & Kubernetes Security (Image Scanning, Runtime Security)
09Cloud, Multi-Cloud & Cost Optimization
- - Cloud Platforms Overview (AWS, Azure, GCP) - FinOps & Cloud Cost Optimization (AWS Cost Explorer, Spot Instances) - Serverless & Multi-Cloud Deployments (AWS Lambda, Kubernetes Federation)
Who it's for
Aspiring DevOps Engineers
Individuals looking to gain hands-on experience and start a career in DevOps.
Software Developers
Individuals who want to transition into DevOps and automate deployment processes.
IT Professionals
Aspiring tech professionals with a background in system administration or network operations who want to broaden their skills and work in modern DevOps environments.
Interest in DevOps skills
Anyone interested in learning the latest tools and practices in continuous integration, cloud deployment, and infrastructure automation.
Before you start
Basic understanding of Linux/Unix, version control with Git, programming fundamentals, networking concepts, and familiarity with cloud platforms.
How you'll learn
Immersive Instructor-Led Sessions
Dynamic Virtual Classrooms: Interactive live classes with real-time coding and group discussions. Expert Guidance: Case studies, guest lectures, and regular assessments with personalized feedback. Query Resolution: Dedicated sessions for clearing doubts and reinforcing learning.
Build Something Real for Your Project Portfolio
Varied Projects: Tackle a range of data science problems to build a diverse project portfolio. Real-World Relevance: Projects designed to mirror industry challenges, enhancing real- world applicability. Peer Collaboration: Team projects to simulate professional teamwork dynamics.
Learn Anytime with Unlimited 1-Year Access to Contents and Tools
Flexible Learning: 24/7 access to all course materials, including lectures and exercises. Updated Content: Regularly refreshed materials to stay current with industry trends. Extended Resources: Access to a community of learners, additional reading materials, and mobile-friendly content.
Questions
What is the level of difficulty of the course?
The course is challenging but accessible, designed for individuals with a basic understanding of programming, Linux/Unix, and version control, with a structured curriculum that gradually introduces more advanced concepts.
Do I need prior experience in DevOps to join the course?
While prior DevOps experience isn’t required, basic knowledge of Linux, version control (Git), programming, and cloud computing will be helpful. See the full prerequisites section for details.
What software or tools do I need?
You’ll gain hands-on experience with tools like Terraform, Ansible, Docker, Kubernetes, Jenkins, GitHub Actions, and cloud platforms such as AWS.
Will I receive certification upon completion?
Yes, successful completion of the course will earn you a certificate.
Is support available throughout the course?
Yes, you will have access to instructor support, peer discussion forums, and customer service throughout the course.
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