DevOps Automation Powered by AI
DevOps Automation Powered by AI is a practical, career-focused course by BIIT Technology designed to help students and IT professionals understand how Artificial Intelligence can support modern DevOps practices. The course combines DevOps fundamentals, cloud infrastructure, CI/CD, automation, containers, monitoring, security, and AI-assisted workflows.
Learners will understand how AI can help development and operations teams automate repetitive tasks, analyse logs, identify potential issues, improve deployment workflows, generate configuration suggestions, and support faster troubleshooting.
The course focuses on practical implementation rather than only theory, helping learners develop skills that can be applied to modern software development and cloud environments.
Course Overview
Modern software teams need reliable ways to build, test, deploy, monitor, and maintain applications. DevOps brings development and operations teams together through automation, collaboration, continuous integration, continuous delivery, infrastructure management, and monitoring.
AI is adding another layer to these workflows. AI-powered tools can assist developers and DevOps engineers with code suggestions, configuration generation, log analysis, incident investigation, documentation, testing, and workflow optimisation.
In this course, students learn how to combine DevOps principles with AI-assisted automation to create efficient and reliable software delivery workflows.
What You Will Learn
By completing this course, students will learn:
- Fundamentals of DevOps
- DevOps lifecycle
- Linux fundamentals
- Git and GitHub
- CI/CD concepts
- Build and deployment automation
- Jenkins and CI/CD workflows
- Docker and containers
- Kubernetes fundamentals
- Cloud DevOps concepts
- Infrastructure as Code
- Terraform fundamentals
- Configuration management
- Monitoring and logging
- DevSecOps fundamentals
- AI in DevOps
- AI-assisted coding
- AI-powered troubleshooting
- AI-assisted log analysis
- Intelligent automation workflows
- AI-assisted documentation
- DevOps project implementation
Course Modules
Module 1: Introduction to DevOps
Students begin with the fundamentals of DevOps and understand how development and operations work together.
Topics Covered
- What is DevOps?
- Evolution of DevOps
- Development vs Operations
- DevOps culture
- Collaboration and communication
- DevOps lifecycle
- Continuous Integration
- Continuous Delivery
- Continuous Deployment
- Automation in DevOps
- Benefits and challenges of DevOps
Module 2: Linux for DevOps
Linux is widely used in development and cloud environments.
Students learn:
- Linux fundamentals
- File and directory management
- Linux commands
- File permissions
- Users and groups
- Process management
- Package management
- Environment variables
- Networking commands
- Shell basics
- Bash scripting fundamentals
- Server administration concepts
Module 3: Git & Version Control
Version control is an essential part of modern DevOps.
Topics include:
- What is Git?
- Git repositories
- Git installation and configuration
- Creating repositories
- Commit
- Branch
- Merge
- Pull
- Push
- Clone
- Pull requests
- Merge conflicts
- Git workflows
- GitHub fundamentals
- Repository management
Students also learn how AI coding assistants can support Git-related workflows and documentation.
Module 4: Introduction to AI in DevOps
This module introduces the role of Artificial Intelligence in modern DevOps.
Topics
- What is AI?
- What is Generative AI?
- AI-assisted software development
- AI-assisted DevOps
- AI coding assistants
- AI-assisted configuration
- AI-powered troubleshooting
- AI log analysis
- AI documentation
- AI-assisted testing
- Benefits and limitations of AI in DevOps
Module 5: Prompt Engineering for DevOps
Students learn how to communicate effectively with AI tools.
Topics include:
- What is prompt engineering?
- Creating clear technical prompts
- Providing context
- Specifying environment
- Giving constraints
- Asking for structured output
- Debugging prompts
- Creating reusable prompts
- DevOps troubleshooting prompts
- Infrastructure prompts
- Documentation prompts
Module 6: AI-Assisted Coding
AI coding assistants can support developers and DevOps engineers with routine coding tasks.
Students learn:
- Code generation
- Code explanation
- Code completion
- Code optimisation
- Debugging assistance
- Bash script generation
- Python automation scripts
- YAML configuration assistance
- Documentation generation
- Code review assistance
Students also learn how to review AI-generated code for:
- Security
- Accuracy
- Performance
- Compatibility
- Maintainability
Module 7: Shell Scripting & Automation
Automation is a core part of DevOps.
Topics include:
- Shell scripting fundamentals
- Variables
- Conditions
- Loops
- Functions
- Input and output
- Error handling
- Automation scripts
- File management automation
- Server administration scripts
- Deployment scripts
Module 8: Continuous Integration & Continuous Delivery
Students learn how CI/CD automates software delivery.
Topics include:
- CI/CD fundamentals
- Source code management
- Automated builds
- Automated testing
- Deployment pipelines
- Pipeline stages
- Build artifacts
- Environment management
- Deployment strategies
- Pipeline security
- Pipeline monitoring
Module 9: Jenkins & AI-Assisted CI/CD
Jenkins is introduced as a CI/CD automation platform.
Topics include:
- Jenkins fundamentals
- Jenkins installation concepts
- Jobs and pipelines
- Pipeline stages
- Jenkinsfile
- Build triggers
- Automated testing
- Deployment pipelines
- Pipeline monitoring
- Credentials management
Module 10: Docker & Containerisation
Students learn how containers simplify application deployment.
Topics include:
- What is Docker?
- Containers vs virtual machines
- Docker architecture
- Docker images
- Docker containers
- Dockerfile
- Docker Hub
- Docker volumes
- Docker networks
- Container lifecycle
- Image management
- Container security
Module 11: AI-Assisted Docker Workflows
Students learn how AI can assist with container-related tasks.
Topics include:
- Creating Dockerfile drafts
- Understanding Docker errors
- Optimising Dockerfiles
- Container troubleshooting
- Docker Compose concepts
- Documentation generation
- Image optimisation suggestions
- Security review assistance
AI-generated Docker configurations should be tested before deployment.
Module 12: Kubernetes Fundamentals
Students are introduced to container orchestration.
Topics include:
- What is Kubernetes?
- Kubernetes architecture
- Cluster
- Node
- Pod
- Deployment
- Service
- Namespace
- ConfigMap
- Secret
- ReplicaSet
- Scaling
- Rolling updates
- Basic Kubernetes commands
Module 13: AI-Assisted Kubernetes Operations
Students learn how AI can support Kubernetes workflows.
Topics include:
- Explaining Kubernetes configurations
- YAML generation assistance
- Pod troubleshooting
- Log analysis
- Resource configuration suggestions
- Deployment troubleshooting
- Kubernetes documentation
- Incident analysis
AI suggestions should be reviewed by an engineer before making changes to live infrastructure.
Module 14: Cloud & DevOps
Cloud platforms provide infrastructure that can be automated through DevOps practices.
Students learn:
- Cloud computing fundamentals
- Compute resources
- Storage
- Networking
- Identity and access management
- Virtual machines
- Containers
- Cloud monitoring
- Cloud deployment concepts
- Infrastructure automation
The course can introduce cloud environments such as AWS, Microsoft Azure, or Google Cloud, depending on the practical lab setup.
Module 15: Infrastructure as Code
Infrastructure as Code allows infrastructure to be managed using configuration files and code.
Topics include:
- What is Infrastructure as Code?
- Benefits of IaC
- Declarative infrastructure
- Infrastructure version control
- Infrastructure automation
- Configuration files
- Environment management
- Infrastructure testing
Module 16: Terraform Fundamentals
Students are introduced to Terraform for infrastructure automation.
Topics include:
- Terraform fundamentals
- Providers
- Resources
- Variables
- Outputs
- Modules
- State
- Terraform workflow
- Plan
- Apply
- Destroy
- Infrastructure version control
Module 17: Configuration Management
Students learn how configuration can be standardised and automated.
Topics include:
- Configuration management
- Infrastructure consistency
- Automated configuration
- Server provisioning
- Environment management
- Configuration files
- Ansible fundamentals
- Playbooks
- Inventory
- Tasks
- Variables
Who Can Join This Course?
This course is suitable for:
- Students
- Computer science graduates
- IT professionals
- Software developers
- System administrators
- Cloud professionals
- DevOps beginners
- Cloud computing students
- Network professionals
- QA professionals
- Working professionals
- Technology enthusiasts
Basic computer and programming knowledge can be helpful, but the course can be structured progressively for learners entering DevOps.
Career Opportunities
After completing the course, learners can explore roles such as:
- DevOps Engineer
- Junior DevOps Engineer
- Cloud Engineer
- DevOps Automation Engineer
- Site Reliability Engineer
- Cloud Support Engineer
- Build and Release Engineer
- CI/CD Engineer
- Infrastructure Engineer
- Automation Engineer
- Platform Engineer
Job titles, responsibilities, and requirements vary by organisation and experience level.
Start Your AI-Powered DevOps Journey with BIIT Technology
DevOps continues to evolve as cloud infrastructure, automation, containers, and AI become increasingly connected. Learning how these technologies work together can help students build a strong foundation for modern software delivery and cloud operations.
BIIT Technology’s DevOps Automation Powered by AI course provides practical exposure to DevOps fundamentals, CI/CD, cloud infrastructure, containers, Infrastructure as Code, monitoring, security, and AI-assisted automation.
Learn DevOps. Automate workflows. Use AI intelligently. Build modern deployment systems.
Book A Live Class to Know More
For any further queries and doubts, kindly fill in the details given below and hit send. You will get a callback within 24 hours.
ENQUIRE NOW OR CALL : +91-9318356685