Automate the workflow
Use Linux, Git and scripting to turn repetitive engineering steps into reliable automation.
AI INFRASTRUCTURE
DevOps & AI
Automate. Ship. Scale.
Learn how software gets from a laptop to production and stays healthy there. Automate builds, run containers in the cloud, and deploy and monitor AI services with confidence.
- Linux, Docker & CI/CD
- Cloud & Kubernetes
- Deploying AI services
ENQUIRE ABOUT THE COURSE
Your next chapter
Your next chapter
starts here.
Tell us a little about yourself.
Complete your syllabus request in the open window.
YOUR STARTING POINTBasic programming
YOUR ROADMAP6 learning modules
COURSE DURATION4–6 Months
YOUR LEARNING MODELive online
FROM COMMIT TO PRODUCTION
Write the pipeline.
Keep it running.
Great code only matters once it reaches users. Learn the automation, infrastructure and operations skills that ship software, and the AI services built on it, reliably.
Know how to code? Learn how it ships.
For students and working professionals comfortable with programming basics who want to build, deploy and operate software and AI services in the cloud.
Ship with confidence
Package applications in containers and release them through tested CI/CD pipelines.
Run AI in production
Deploy, monitor and troubleshoot cloud-based AI services when real traffic arrives.
YOUR LEARNING ROADMAP
One concept leads
to the next breakthrough.
Move from the command line to containers, pipelines, cloud and Kubernetes, then apply it all to serving and monitoring AI workloads.
DEVOPS FOR THE AI ERA
Every AI product needs infrastructure.
Models need servers, pipelines, secrets, GPUs, monitoring and rollbacks. The same DevOps practices that ship web apps keep AI services fast, affordable and reliable. Learn them once and apply them everywhere.
- Automate everything
- Observe in production
- Recover fast
Your complete learning roadmap.
Download syllabus
Keep the module breakdown, practice assignments and learning outcomes.
Suggested curriculum. Confirm the current batch syllabus, module allocations and total duration with an advisor.
01 Linux, Git & scripting The command line every engineer relies on
- Shell and file system
- Processes and permissions
- Networking basics
- Bash scripting
- Git branching and collaboration
Put it into practice
Automate a repeatable development environment setup.
What you’ll take away
Navigate and troubleshoot engineering environments.
02 Containers with Docker Package once, run anywhere
- Dockerfiles and images
- Volumes and networking
- Docker Compose
- Image size and caching
- Container security basics
Put it into practice
Containerize a multi-service application.
What you’ll take away
Package software consistently across environments.
03 CI/CD & release automation Test, build and deploy on every commit
- CI pipelines
- Automated tests and checks
- Artifacts and registries
- Secrets management
- Release strategies
Put it into practice
Build a pipeline with test, build and deploy stages.
What you’ll take away
Automate repeatable software delivery.
04 Cloud & infrastructure as code Provision infrastructure you can review
- Compute and storage
- IAM and access
- Terraform
- Networking in the cloud
- Cost awareness
Put it into practice
Provision and document a cloud environment with Terraform.
What you’ll take away
Describe and manage cloud resources as code.
05 Kubernetes & scaling Orchestrate services under real load
- Pods and deployments
- Services and ingress
- ConfigMaps and secrets
- Autoscaling
- Helm basics
Put it into practice
Deploy and scale an application on a Kubernetes cluster.
What you’ll take away
Run and scale containerized services.
06 Deploying & monitoring AI services Serve models and keep them healthy
- Model and LLM serving
- GPU and resource planning
- Logs, metrics and tracing
- Alerts and incident response
- Rollbacks and cost control
Put it into practice
Deploy a monitored AI service with alerts and a rollback runbook.
What you’ll take away
Operate AI services and respond to failures.
Takeaway from the course
- Linux
- Bash & Python Scripting
- Git & GitHub
- Networking Fundamentals
- Docker
- CI/CD (GitHub Actions)
- AWS
- Terraform
- Kubernetes
- Helm
- GitOps (Argo CD)
- Secrets Management
- DevSecOps
- Prometheus & Grafana
- OpenTelemetry
- SRE & Incident Response
- Cloud Cost Optimization
- MLOps
- LLM Serving (vLLM)
- GPU Infrastructure
- LLMOps
- AI Agents for DevOps
- AI-Assisted Coding
- Platform Engineering
- Projects
PUT THE IDEAS TO WORK
Make the concepts
something you can show.
Go beyond tutorials. These project ideas combine automation, containers, cloud and monitoring into systems you can deploy, break and fix.
Commit → Build → DeployPipeline green ✓
PROJECT IDEA · AUTOMATED DELIVERY
CI/CD delivery pipeline
Build a pipeline that tests, packages and deploys an application on every commit, with safe release checks.
web · api · db · cacheAll healthy ✓
PROJECT IDEA · PACKAGE EVERYTHING
Containerized multi-service app
Package a frontend, API, database and cache into containers that run the same way on every machine.
terraform plan3 to add ✓
PROJECT IDEA · INFRASTRUCTURE AS CODE
Cloud environment with Terraform
Provision networking, a Kubernetes cluster and storage as code, reviewed and reproducible like any other change.
Kubernetes · AutoscalingServing ✓
PROJECT IDEA · AI IN PRODUCTION
Scalable LLM inference service
Deploy a model behind an API on Kubernetes, autoscale it with demand, and track latency and cost per request.
Prometheus · GrafanaRecovered ✓
PROJECT IDEA · WHEN THINGS BREAK
Monitoring & incident runbook
Instrument a service with metrics, logs and alerts, then practise detecting an incident and rolling back.
Illustrative project previews. Your mentor will confirm project scope and review criteria for your batch.
HOW THE LEARNING COMES TOGETHER
Understand it.
Then make it your own.
A learning rhythm that connects the concept, the code and your reasoning. Here’s how you can turn each new topic into a skill.
Understand the system
See how code, containers, pipelines and cloud fit together. Understand why each practice exists.
Build it hands-on
Work in real terminals and cloud environments. Automate, deploy, break things and fix them.
Operate and explain
Walk through your architecture, explain trade-offs in reliability and cost, and write a runbook others can follow.
Ask your advisor about assignment reviews, doubt support, recordings and mock interview inclusions for your chosen batch.
FIND YOUR LEARNING ENVIRONMENT
Same ambition.
Your way to learn.
Choose the environment that suits your routine. Our advisors can help you compare current batches, schedules and support.
Learn in a classroom.
Bring your questions to class, learn alongside peers, and build a routine around in-person sessions.
Explore Noida & NSP centres Find a classroom batchJoin from where you are.
Attend live sessions remotely. Find a batch whose timing and learning support work for your day.
Live sessions · learn remotely Find a live batch
UP TO100%SCHOLARSHIP
CAST · YOUR OPPORTUNITY TO LEARN
Apply for CAST
Your ambition. A scholarship to match.
Apply for CAST — the Coding Blocks Aptitude and Scholarship Test — and earn a scholarship of up to 100% on course fees.
Available for classroom and Live interactive courses, including Sampoorna. Awards are subject to the test’s eligibility and award terms.
LIVE ONLINE. YOUR SCHEDULE.
Your schedule. Your batch.
Choose weekday or weekend, then find the live batch that fits your day.
DevOps & AI · Weekday
No upcoming batches
How live classes work
No batches are currently listed for this selection. Contact our team about the next intake.
Talk to an advisor
Your selected batch
A LITTLE CLARITY
Good questions.
Clear answers.
Do I need prior DevOps or cloud experience?
No prior DevOps or cloud experience is expected. You should be comfortable with basic programming. The suggested curriculum starts with Linux, Git and scripting before moving into containers, CI/CD, cloud and Kubernetes. Tell your advisor about your experience to check your starting point.
How does AI fit into a DevOps course?
AI services need the same foundations as any production software: containers, pipelines, cloud infrastructure and monitoring. The final module applies these practices to serving, scaling and monitoring AI workloads.
How do I choose between classroom and live learning?
Choose classroom learning if you prefer an in-person routine and peer interaction. Live learning lets you attend remotely. Ask about current DevOps & AI batch availability, timings and support before choosing your mode.
What will I practise and build?
The suggested roadmap includes hands-on assignments and project ideas such as a CI/CD pipeline, a containerized multi-service app and a scalable LLM inference service. Your mentor will confirm project scope, review criteria and the curriculum for your batch.
What are the course duration, timings and fees?
These depend on your selected batch and learning mode. Contact an advisor for the current start date, class schedule, total duration and fees.
Real people. Real milestones.
Our torchbearers.
Just getting started.
Meet Coding Blocks learners whose practice and persistence led to opportunities at leading companies.
Aditya
Iti Jain
Simarpreet Sikka
Vishesh
Jashpreet Malhotra
Walmart
Sahil Bansal
Shervil Gupta
Ashanka Saha
Sandipan Dutta
Lavisha Malik
Manali Biswas
Mohit K.
CODING BLOCKS CERTIFICATE
Skills you’ve built.
An achievement to show.
Celebrate the work you put into automating, deploying and operating software with a Coding Blocks certificate of completion. Add it to your portfolio and share a milestone in your learning journey. Ask your advisor about the completion criteria for your batch.
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A record of your completed program
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A meaningful addition to your portfolio
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A milestone to share with your network
HOW LIVE CLASSES WORK
Learn live.
From wherever you are.
Join scheduled sessions with a mentor and your batch, ask questions in real time, and keep learning without a commute.
Live, not recorded
Real-time sessions with your batch
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Scheduled live sessions
Attend classes at fixed weekday or weekend timings with your mentor.
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Ask as you learn
Raise doubts in the session and get answers while the topic is fresh.
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Learn with a batch
Practise, discuss and keep pace alongside peers on the same roadmap.
Recordings and doubt support: confirm with your advisor
Find a live batch
What you need
A simple setup is enough
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A laptop or desktop
To write and run code during sessions and assignments.
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A stable internet connection
Enough to stream video and share your screen.
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A quiet space
So you can listen, speak and focus for the full session.
Prefer in person? See classroom batches
Find a live batch
Great software ships.
Learn to ship it reliably.
Let’s find a DevOps & AI batch that fits where you are and where you want to go.