Master DevOps with
AI Automation
A 3-month, mentor-led live cohort. Build 51 real projects across Linux, cloud, Docker, Kubernetes, Terraform and CI/CD, then showcase them to the industry through our community.
Built for people ready to go job-ready
Developers moving into DevOps
Add cloud, CI/CD, Kubernetes and automation to your skill set and step into higher-paid infrastructure roles.
Sysadmins & support engineers
Modernise your fundamentals with containers, Terraform and AIOps to level up from operations to engineering.
Freshers & career switchers
Start from Linux basics and finish with a portfolio of 51 real projects you can show any employer.
An AI-first DevOps curriculum
Two tracks and twelve modules, from Linux fundamentals to AI-assisted operations, with every topic paired with hands-on exercises.
Linux & Cloud
Linux administration, Azure DevOps, virtual machines and cloud fundamentals across AWS & Azure.
CI/CD Pipelines
Git & GitHub, Jenkins, Azure Pipelines and GitHub Actions from fundamentals to advanced workflows.
Containers & Kubernetes
Docker images and orchestration with Kubernetes for real deployment scenarios.
Infrastructure as Code
Terraform provisioning and Ansible configuration management, including combined workflows.
Scripting & Monitoring
Bash and Python for DevOps, plus monitoring with Prometheus and Grafana.
AI for DevOps
Prompt engineering, LangChain, LlamaIndex, RAG pipelines and vector databases applied to DevOps.
Roles this program prepares you for
Figures are market averages in India from public salary data and are shown for guidance only. They are not a guarantee of employment or income.
Learning doesn't stop at the last class
You get community access to showcase your projects and open up opportunities. Strong candidates are also invited into freelancing work through the CareerByteCode network.
A different way to learn DevOps
Live, mentor-led
Real-time sessions with working practitioners and doubt-solving, not pre-recorded videos.
51 real projects
Every module is hands-on, so you finish with a portfolio you can actually demonstrate.
AI-first curriculum
Modern DevOps with AI and automation woven through, from prompt engineering to RAG for ops.
Community visibility
Showcase your work to a global community and speed up your opportunities.
Freelancing pathway
Strong candidates are invited into real freelancing projects through our network.
Certificate & portfolio
Earn a CareerByteCode certificate and a project portfolio that speaks for itself.
Learn from active practitioners
Sonali Kurade
Senior DevOps coach and CareerByteCode co-founder, helping engineers evolve into confident tech leaders through peer-driven, hands-on learning and real-world mentorship at scale.
Connect on LinkedIn →
Sourabh Bhoyar
Active industry practitioner solving real-world DevOps problems daily. Brings enterprise-grade experience in CI/CD, Kubernetes, cloud architecture and AI automation to every session.
Connect on LinkedIn →One simple fee
- 3-month live, mentor-led cohort (10 hrs/week)
- All 12 modules, Linux to AI for DevOps
- 51 hands-on projects & class exercises
- Community access & project showcase
- CareerByteCode certificate on completion
- Freelancing invites for strong candidates
Course fee + 18% GST · New batch every month.
Live cohort vs. a self-paced video course
| CareerByteCode | Typical self-paced course | |
|---|---|---|
| Live mentor-led sessions | Yes | Pre-recorded |
| Real-time doubt solving | Yes | Rare |
| Hands-on projects | 51 | Few / optional |
| AI for DevOps included | Yes | Usually not |
| Community & showcase | Global community | None |
| Freelancing pathway | For strong candidates | None |
Endorsed by engineers & founders
One of the most capable and reliable DevOps experts I've worked with.
She turns complex cloud environments into something predictable and trustworthy.
Very professional, dedicated and expert. Highly recommended.
DevOps with AI Automation training in India
CareerByteCode's DevOps + AI Automation program is a 3-month, live cohort designed to take you from the fundamentals of Linux and cloud all the way to modern, AI-assisted operations. Instead of watching pre-recorded videos alone, you learn alongside mentors and peers, work through 51 hands-on projects, and finish with a portfolio you can put in front of any employer.
What is DevOps, and why add AI?
DevOps is the practice of shortening the path between writing code and running it reliably in production, using automation, cloud infrastructure, continuous integration and continuous delivery. Adding AI to DevOps, sometimes called AIOps, means using large language models and retrieval systems to speed up troubleshooting, documentation, and automation. This program treats AI as a core skill rather than an afterthought, so you graduate fluent in both classic DevOps tooling and the AI workflows employers now expect.
What you will learn
The curriculum is organised into eleven modules with continuous hands-on practice:
- Linux administration and cloud fundamentals across AWS and Azure
- Version control with Git and GitHub, plus Azure Boards and Repos
- CI/CD with Jenkins, Azure Pipelines and GitHub Actions, from basics to advanced workflows
- Containerisation with Docker and orchestration with Kubernetes
- Infrastructure as Code using Terraform and Ansible
- Automation scripting with Bash and Python for DevOps
- Monitoring and observability with Prometheus and Grafana
- AI for DevOps: prompt engineering, LangChain, LlamaIndex, RAG pipelines and vector databases
Who should join
The program suits developers who want to move into infrastructure roles, system administrators and support engineers who want to modernise their skills, and freshers or career switchers who want a structured, project-led path into a well-paid field. Because it begins with Linux fundamentals, prior DevOps experience is not required, only consistent effort of around 10 hours per week.
Career paths and outcomes
DevOps skills map to roles such as DevOps Engineer, Cloud Engineer, Site Reliability Engineer and Platform Engineer, which are among the most in-demand positions in Indian tech. Beyond the classroom, CareerByteCode learners gain access to a global community where they can showcase their work and unlock opportunities, and strong candidates are invited into freelancing projects through the network.
Fees, format and batches
The full 3-month program is ₹40,000 plus 18% GST, which is ₹47,200 all-in, and runs as a live cohort with new batches starting every month. To confirm the next start date or ask any question about payment and scheduling, message the team on WhatsApp.
Common questions
Do I need prior DevOps experience to join?
How long is the course and how much time does it need?
When does the next batch start?
What is the course fee?
Will I get a certificate and help finding work?
Is the training live or self-paced?
Can I earn or freelance after completing this program?
How does the CareerByteCode community support me after the course?
Finish with the CareerByteCode Certified DevOps Automation Engineer credential
Complete the program and earn a verifiable certificate you can add to LinkedIn and your resume. It is built to be recognised fast by recruiters and to give your job search a concrete proof point.
Certificate of Completion
This certifies that
Your Namehas successfully completed the program
DevOps with Automation
CareerByteCode Certified DevOps Automation EngineerDirector, CareerByteCode
Credential ID
CBC-DEVOPS-2026-0001
Sample certificate. Every graduate receives one with their own name and a unique verifiable ID. Each certificate is valid for 1 year from its issue date.
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Verifiable in seconds
Each certificate carries a unique ID and a public verify link, so a recruiter can confirm it is real without contacting you.
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Add it to your LinkedIn
It drops straight into your Licenses and Certifications section using the issuer name, issue date, and credential ID.
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Proof you can do the work
It is awarded for completing real, project-based work, not for watching videos, so it signals applied skill to hiring teams.
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Speaks the recruiter's language
A clear, role-titled credential that matches the terms hiring teams and ATS filters actually search for, helping you move faster through screening.
Every certificate is verifiable. Check any credential ID at careerbytecode.in/verify.
What you walk away with, and where you go next
The program is the start. You finish with proof of skill, then keep growing through our community and freelancing network.
A recognised certificate
Earn a CareerByteCode certificate that shows you completed a rigorous, hands-on DevOps and AI program.
A 51-project portfolio
Walk away with 51 real, production-style projects you can demo in interviews and link from your resume.
Job-ready skills
Confident, practical command of Linux, cloud, CI/CD, Kubernetes, Terraform and AI for DevOps.
Grow through our tech community
Join a global community of professionals. Showcase your projects, stay visible to the industry, and speed up the opportunities that come your way.
Earn through freelancing
Ready to turn your skills into income? Strong candidates are invited into our freelancing programs, where you learn to win clients and get paid for real work.
Ready to start your DevOps + AI journey?
Join the next monthly batch, build 51 real projects, and showcase your skills to a global community.
What graduates say
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