Agentic AI
for DevOps Engineers
Go from LLM fundamentals to shipping production autonomous ops agents for CI/CD, observability, IaC and incident response. Build 11 real agents and a capstone platform.
For engineers ready to build agents, not just prompts
DevOps & cloud engineers
Add autonomous agents to your CI/CD, observability and IaC workflows and lead your team into AI ops.
SREs & on-call teams
Build incident-response and on-call copilots that correlate signals and draft RCAs.
Platform engineers
Design, harden and orchestrate multi-agent ops platforms that hold up under chaos.
Eight modules, from LLMs to autonomous ops
Every module is hands-on and production-focused, ending in a capstone platform.
Agentic foundations
Autonomy, tool use, memory, planning, ReAct and multi-agent architectures, LangChain and LangGraph.
Agents in your pipelines
Tool calling for kubectl, Terraform and PagerDuty, plus AI code review and build triage in CI/CD.
Observability & RAG
RAG over logs, anomaly detection, incident summarization and on-call copilots.
Agentic IaC
Generate, review and reconcile Terraform and Pulumi, with policy-as-code and human gates.
Hardening & security
Threat modeling, guardrails, audit logging, and prompt-injection defense.
Orchestration & MCP
Multi-agent orchestration, Model Context Protocol, memory and operational reliability.
Learn from working practitioners
Manoj Savukar
Builds clean, automated, reproducible cloud foundations with Infrastructure as Code (Terraform, ARM), CI/CD (Azure Pipelines, Jenkins, GitHub Actions), AKS and secure-by-design Azure. He mentors engineers into Azure DevOps and cloud roles through production-like project scenarios.
Connect on LinkedIn →
Sourabh Bhoyar
Specialises in CI/CD platform engineering, containerized microservices and Infrastructure as Code. He has built pipelines across Azure DevOps, GitHub Actions and Jenkins, shipped microservices on Kubernetes and AKS with Helm, and driven reliability and cost optimization while mentoring professionals through hands-on projects.
Connect on LinkedIn →One fee for a rare, advanced skill set
- Live cohort, 40 to 50 hours, evening batch
- 8 modules from LLMs to autonomous ops
- 11 hands-on agent labs + a capstone platform
- Two working-practitioner instructors
- CareerByteCode certificate on completion
- Community access & earning pathway
Program fee ₹20,000 + 18% GST (₹23,600 all-in). See how this compares →
Agentic AI for DevOps, done properly
Agentic AI for DevOps Engineers is a hands-on, intermediate-to-advanced live program that goes far beyond prompting. You learn to design, build, harden and ship autonomous agents that do real operational work, from reviewing pull requests and triaging build failures to remediating infrastructure drift and running incident response.
Why agentic AI, and why for DevOps
DevOps is full of toil that agents can reduce: reading logs, correlating alerts, drafting RCAs, generating and reconciling infrastructure. This program treats agents as production systems, so you learn not just how to build them but how to secure, orchestrate and operate them safely.
What you build
Across 11 labs you build a Prometheus anomaly explainer, a kubectl copilot, a safe actuation agent, an LLM PR reviewer, a deployment risk scorer, a RAG-over-logs pipeline, an incident-response agent, a Terraform drift remediator, a hardened ops agent, a multi-agent orchestrator and an MCP server, then bring it together in an autonomous ops platform capstone tested under chaos and adversarial prompts.
Fee and format
The program fee is ₹20,000 plus 18% GST, which is ₹23,600 all-in. It runs as a live evening cohort of roughly 40 to 50 hours, and beyond the classroom you gain community access and an earning pathway.
Common questions
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Finish with the CareerByteCode Certified Agentic DevOps 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
Agentic AI for DevOps
CareerByteCode Certified Agentic DevOps EngineerDirector, CareerByteCode
Credential ID
CBC-AGDEVOPS-2026-0001
Sample certificate. Every graduate receives one with their own name and a unique verifiable ID. Each certificate is valid for 6 months 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 grow
You finish with rare, in-demand skills and proof. Then you keep growing through our community and earning from your work.
A recognised certificate
Earn a CareerByteCode certificate for a genuinely advanced, hands-on agentic AI for DevOps program.
11 agents + a capstone
A portfolio of real autonomous ops agents you can demo: pipelines, observability, IaC and multi-agent orchestration.
Rare, in-demand skills
Confident command of building, hardening and shipping production agentic systems for DevOps.
Grow through our community
Join a global community of engineers. Showcase your agents, stay visible to recruiters, and speed up the opportunities that come your way.
Earn from your skills
Turn agentic AI and DevOps skills into income through consulting, freelancing and mentoring, with a real earning pathway.
Ready to build autonomous ops agents?
Join the next evening cohort, build 11 agents and a capstone, and ship agentic AI for DevOps.
What graduates say
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