DevOps: Master Real-Time Principles, Automation & Cloud Deployment
Become a skilled DevOps Engineer with BinnBash Academy's in-depth course. Master automation, CI/CD, Docker, Kubernetes, Ansible, Terraform, and cloud deployment (AWS, Azure, GCP). Gain hands-on experience with live projects, real-time scenarios, and accelerate your career in Machine Learning Operations.
Accelerate Your Delivery!Who Should Enroll in this DevOps Course?
This course is ideal for IT professionals, developers, and system administrators looking to master DevOps methodologies and tools for efficient software delivery and operations:
- Aspiring DevOps Engineers and Site Reliability Engineers (SREs).
- Software Developers aiming to understand infrastructure, deployment, and automation.
- System Administrators or IT Operations professionals wanting to transition to cloud-native and DevOps roles.
- QA Engineers interested in integrating testing into CI/CD pipelines.
- Anyone passionate about continuous delivery, automation, and building scalable systems.
DevOps Course Prerequisites
- Basic understanding of Linux command-line interface.
- Familiarity with at least one programming/scripting language (e.g., Python, Bash).
- Basic knowledge of networking and web application concepts.
- Experience with Git for version control is a plus.
Key DevOps Tools & Technologies Covered
Hands-on mastery of essential DevOps tools and technologies, building continuous delivery pipelines and scalable infrastructure.
DevOps In-Depth: Comprehensive Syllabus & Intensive Real-Time Projects
Module 1: DevOps Foundations & Version Control
- Introduction to DevOps: Principles, Culture, Benefits.
- DevOps vs. Agile vs. Traditional SDLC.
- Version Control System (VCS) with Git: Branching, Merging, Rebasing.
- GitHub/GitLab/Bitbucket: Remote repositories, Pull Requests, Code Reviews.
- Understanding Monorepo vs. Polyrepo Strategies.
- Lab: Set up Git, clone repositories, perform branching and merging, collaborate on a project.
Tools & Concepts:
- Git, GitHub/GitLab/Bitbucket, Code Reviews.
Expected Outcomes:
- Understand core DevOps principles and culture.
- Master Git for version control and collaboration.
- Set up a professional development workflow.
Module 2: Scripting & Automation (Shell, Python, Ansible)
- Linux Command Line & Shell Scripting: Advanced Bash/Zsh scripting for automation.
- Python Scripting for DevOps: Automating system tasks, API interactions, data parsing.
- Introduction to Configuration Management.
- Ansible: Installation, Playbooks, Roles, Inventory, Modules.
- Ansible Vault for Sensitive Data Management.
- Real-Time Lab: Write advanced shell scripts for system monitoring. Automate server provisioning with Ansible.
Tools & Concepts:
- Bash, Python, Ansible, Ansible Vault.
Expected Outcomes:
- Automate repetitive IT tasks efficiently.
- Manage server configurations at scale.
- Secure sensitive data in automation scripts.
Module 3: Infrastructure as Code (IaC) with Terraform & Cloud
- Introduction to Infrastructure as Code (IaC): Benefits and principles.
- Terraform: HCL syntax, Providers (AWS, Azure, GCP).
- Terraform: Resources, Data Sources, Modules, State Management.
- Managing Infrastructure across Multiple Clouds with Terraform.
- Introduction to Cloud Platforms: AWS EC2/VPC, Azure VMs/VNets, GCP Compute Engine/VPC.
- Real-Time Lab: Provision cloud infrastructure (VMs, networks, storage) on AWS/Azure/GCP using Terraform. Manage Terraform state remotely.
Tools & Concepts:
- Terraform, HCL, AWS, Azure, GCP.
Expected Outcomes:
- Automate cloud infrastructure provisioning.
- Manage infrastructure consistently across cloud providers.
- Understand core cloud services.
Module 4: Containerization & Orchestration (Docker, Kubernetes)
- Introduction to Containers: Docker fundamentals (Images, Containers, Dockerfile).
- Docker Compose for Multi-Container Applications.
- Introduction to Kubernetes: Architecture, Pods, Deployments, Services.
- Kubernetes: Deploying Applications, Scaling, Networking.
- Managed Kubernetes Services: AWS EKS, Azure AKS, GCP GKE (overview).
- Real-Time Lab: Containerize a web application with Docker. Orchestrate a multi-container application using Docker Compose. Deploy a sample application to Kubernetes.
Tools & Concepts:
- Docker, Docker Compose, Kubernetes, EKS/AKS/GKE.
Expected Outcomes:
- Containerize applications efficiently.
- Deploy and manage applications with Kubernetes.
- Understand container orchestration.
Module 5: Continuous Integration & Continuous Delivery (CI/CD)
- CI/CD Principles: Benefits, Best Practices.
- Jenkins: Installation, Jobs, Pipelines, Plugins.
- GitLab CI/CD: Pipeline setup, Stages, Jobs.
- GitHub Actions: Workflow automation.
- Building CI/CD Pipelines for Web Applications.
- Integrating Automated Tests into CI/CD.
- Real-Time Lab: Set up a CI/CD pipeline in Jenkins/GitLab CI/GitHub Actions to automate code build, test, and deployment.
Tools & Concepts:
- Jenkins, GitLab CI/CD, GitHub Actions.
Expected Outcomes:
- Automate software delivery pipelines.
- Implement continuous integration and deployment.
- Reduce deployment risks and time.
Module 6: Monitoring, Logging, Observability & DevSecOps
- Monitoring Tools: Prometheus, Grafana for metrics and dashboards.
- Logging: ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging.
- Alerting Best Practices.
- Introduction to Observability: Tracing (Jaeger/OpenTelemetry concepts).
- Introduction to DevSecOps: Security in CI/CD.
- Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) concepts.
- Real-Time Lab: Set up Prometheus and Grafana for application monitoring. Analyze logs using Kibana. Identify security vulnerabilities in code.
Tools & Concepts:
- Prometheus, Grafana, ELK Stack, DevSecOps, SAST/DAST (concepts).
Expected Outcomes:
- Implement comprehensive monitoring and logging.
- Understand observability concepts.
- Integrate security into the DevOps pipeline.
Module 7: Advanced DevOps Projects & Career Mastery
- Capstone Project 1: Automated Infrastructure Provisioning (IaC, Configuration Management).
- Capstone Project 2: End-to-End CI/CD Pipeline for Microservices (Docker, Kubernetes, Cloud Deployment).
- Real-time Scenario Discussions: Incident Management, Disaster Recovery, High Availability in DevOps.
- Building Your Professional DevOps Portfolio (GitHub, LinkedIn).
- Resume Building, LinkedIn Optimization, Mock Interviews.
- Career Guidance: DevOps Engineer, SRE, Cloud Engineer.
- Live Project: Present your capstone projects, discuss design decisions, demonstrate CI/CD workflows, and participate in mock interviews tailored for DevOps roles, showcasing your end-to-end expertise in a live production-like scenario.
Tools & Concepts:
- Real-world projects, Portfolio building, Interview strategies.
Expected Outcomes:
- Build and deploy complex DevOps solutions.
- Master real-time problem-solving in production environments.
- Secure a high-demand DevOps Engineer role.
This course provides hands-on, in-depth expertise to make you a proficient and job-ready DevOps Engineer, with a strong emphasis on real-time project implementation, continuous delivery, and building a powerful, results-driven portfolio!
DevOps In-Depth Job Roles After This Course
DevOps Engineer
Cloud Engineer
Automation Engineer
DevSecOps Engineer
Site Reliability Engineer (SRE)
Infrastructure Engineer
CI/CD Engineer
Release Engineer
Our Alumni Works Here!
Priya Sharma
DevOps Engineer
Rahul Gupta
SRE
Anjali Singh
Cloud Engineer
Vivek Kumar
Automation Engineer
Sneha Reddy
DevOps Consultant
Arjun Desai
CI/CD Specialist
Disha Patel
Infrastructure Engineer
Karan Mehta
Release Engineer
Pooja Sharma
DevOps Analyst
Rajat Singh
DevOps Architect (Jr.)
Priya Sharma
DevOps Engineer
Rahul Gupta
SRE
Anjali Singh
Cloud Engineer
Vivek Kumar
Automation Engineer
Sneha Reddy
DevOps Consultant
Arjun Desai
CI/CD Specialist
Disha Patel
Infrastructure Engineer
Karan Mehta
Release Engineer
Pooja Sharma
DevOps Analyst
Rajat Singh
DevOps Architect (Jr.)
What Our DevOps Students Say
"This DevOps course is incredibly comprehensive! I learned to build robust CI/CD pipelines from scratch, and the hands-on Docker and Kubernetes modules were invaluable. BinnBash Academy delivers!"
"Mastering Ansible and Terraform transformed how I approach infrastructure. I can now automate complex deployments with confidence. Highly recommend for any aspiring DevOps professional!"
"As a developer, understanding the full deployment pipeline from Git to live server was a game-changer. The CI/CD tools and monitoring modules were excellently taught."
"The instructors were very supportive, guiding us through complex concepts like DevSecOps and real-time troubleshooting. The live projects were truly practical."
"I landed a great DevOps role shortly after completing the course. The resume building, mock interviews, and placement assistance were crucial to my success. Thank you, BinnBash!"
"From Linux scripting to advanced cloud deployment strategies, every module was practical and highly relevant. I now feel fully equipped to handle any DevOps challenge."
"The course material is well-structured, and the hands-on labs solidify the concepts perfectly. This is a must for anyone serious about a career in DevOps."
"I was impressed by the depth of coverage, from core DevOps principles to advanced monitoring with Prometheus and Grafana. This course is worth every penny."
"The practical exercises on building and managing Kubernetes clusters were invaluable. I feel confident orchestrating containerized applications now."
"Excellent support and timely doubt clarification. The trainers make even difficult topics easy to understand. Best place for DevOps training in Bangalore!"
"This DevOps course is incredibly comprehensive! I learned to build robust CI/CD pipelines from scratch, and the hands-on Docker and Kubernetes modules were invaluable. BinnBash Academy delivers!"
"Mastering Ansible and Terraform transformed how I approach infrastructure. I can now automate complex deployments with confidence. Highly recommend for any aspiring DevOps professional!"
"As a developer, understanding the full deployment pipeline from Git to live server was a game-changer. The CI/CD tools and monitoring modules were excellently taught."
"The instructors were very supportive, guiding us through complex concepts like DevSecOps and real-time troubleshooting. The live projects were truly practical."
"I landed a great DevOps role shortly after completing the course. The resume building, mock interviews, and placement assistance were crucial to my success. Thank you, BinnBash!"
"From Linux scripting to advanced cloud deployment strategies, every module was practical and highly relevant. I now feel fully equipped to handle any DevOps challenge."
"The course material is well-structured, and the hands-on labs solidify the concepts perfectly. This is a must for anyone serious about a career in DevOps."
"I was impressed by the depth of coverage, from core DevOps principles to advanced monitoring with Prometheus and Grafana. This course is worth every penny."
"The practical exercises on building and managing Kubernetes clusters were invaluable. I feel confident orchestrating containerized applications now."
"Excellent support and timely doubt clarification. The trainers make even difficult topics easy to understand. Best place for DevOps training in Bangalore!"