Master AWS Cloud, DevOps and Generative AI through live online and classroom training designed to accelerate your career with end-to-end DevOps expertise. Learn Linux, Python, Docker, Kubernetes, CI/CD, Generative AI integration Git-Ops, AI-Ops and cloud automation with hands-on projects, internship opportunities and placement-focused mentorship.
Start Your DevOps Journey
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This AI Powered DevOps Course with AWS is designed for students, freshers and working professionals who want practical cloud and automation skills. Gain expertise in AWS Cloud, Linux, Python, Docker, Kubernetes, Terraform, Jenkins and CI/CD pipelines through real-world implementation projects. Become a deployment-ready DevOps & Cloud Engineer in 24 weeks — with Generative AI built into every step. Master the tools and practices — from writing infrastructure code with GitHub Copilot to AI-driven monitoring and incident response. Become not just certified, but genuinely job-ready.
Online / Offline / Hybrid — learn on your schedule without compromising quality.
Intensive industry-aligned training with daily hands-on labs and projects.
Industry experts available every weekend for personalised doubt-clearing.
All recordings, resources and updated materials available forever.
Multiple hands-on projects + a production-grade capstone deployment.
Internship, mentorship, resume support and real job referrals to make you industry-ready.
DevOps has become the standard at every tech company. With AI-assisted workflows, cloud-native architectures and CI/CD as the baseline, skilled engineers are in massive demand.
2024–2032 · Source: Cision
DevOps Global Market · Gartner
Organizations using DevOps · LinkedIn
50% rise on LinkedIn · Gartner
Engineers using AI tools ship faster, write cleaner code, and command 3× higher salaries. This program makes AI proficiency your competitive edge.
Faster Code Shipping
Fewer Production Bugs
Salary Premium
Learn how Generative AI transforms modern DevOps workflows using ChatGPT, Claude AI, GitHub Copilot, Amazon Q Developer and AI-powered automation tools. Other programs teach DevOps tools. We teach them the way they’re used in 2026 — with AI assistance at every step.
AI-assisted CI/CD pipelines
AI code review & analysis
AI-assisted DevOps teams
AI-skilled engineers
Unlike traditional DevOps training programs, this course integrates Generative AI across every module. Learn AI-assisted scripting, infrastructure automation, documentation generation, debugging and deployment workflows using modern AI tools.
PROGRAM CURRICULUM
Comprehensive DevOps course curriculum covering Linux Administration, Python Programming, AWS Cloud, Docker Containers, Kubernetes Orchestration, Infrastructure as Code, CI/CD Automation, Monitoring, Security and Generative AI integration. 🤖 Gen AI embedded throughout every module.
Modules
PYTHON
NETWORKING
LINUX
AWS
DEVOPS
CAPSTONE
MODULE 01 · FOUNDATION
Master Python scripting for DevOps automation — syntax, data structures, OOP, file handling and DevOps libraries.
MODULE 02 · FOUNDATION
TCP/IP, DNS, IP addressing, OSI model and cloud networking concepts underlying all modern DevOps infrastructure.
MODULE 03 · FOUNDATION
Deep command-line proficiency — file system, permissions, shell scripting, user management and system administration.
MODULE 04 · CLOUD
Design, deploy and manage scalable infrastructure with EC2, S3, IAM, VPC, ELB, CloudWatch — hands-on labs from day one.
MODULE 05 · CORE & ADVANCED DEVOPS — 20 TOPICS · AI IN EVERY TOPIC
The full DevOps stack: Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, ELK, Datadog, ArgoCD, Splunk, Dynatrace, SonarQube, Trivy — plus AWS ECS, ECR, EKS and Fargate. Every topic includes hands-on AI assistance.
Click any module to expand the full topic list, hands-on exercises and skills you will gain.
Click any module to expand the full topic list, hands-on exercises and skills you will gain.
THIS PROGRAM IS BUILT FOR
Whether you come from a technical background or are transitioning into IT, this course equips you with practical, AI-powered, job-ready skills to automate, deploy, and manage modern cloud infrastructure. Your starting point doesn’t matter — your commitment does.
Automate deployments, master CI/CD pipelines, and transition to managing scalable cloud-native environments.
Upgrade from manual server management to automated infrastructure, cloud provisioning and IaC.
Understand cloud networking, VPC architecture, security groups and DevOps-driven infrastructure management.
Move beyond support roles into automation, deployment management and cloud operations careers.
Gain practical understanding of DevOps strategy, automation frameworks and cloud scalability.
Structured, hands-on training aligned with industry demand — fastest path from zero to job-ready.
Leverage cloud solutions, automate infrastructure and take products to market faster.
Passionate learners eager to build, automate and grow in one of the most in-demand tech domains.
ENTERPRISE CAPSTONE
Build production-grade cloud infrastructure and deployment pipelines on AWS. Work on real-world projects involving Docker, Kubernetes, Terraform, CI/CD and cloud monitoring to gain practical implementation experience. This is not a demo. It ships to production.
Deploy a real-world microservices-based healthcare platform on AWS using industry-standard cloud architecture and best practices.
Implement CI/CD pipelines to automate code integration, testing, container image creation, and application deployment.
Package application services using Docker and deploy them on Kubernetes for scalable, highly available, and resilient operations.
Provision and manage cloud infrastructure using Infrastructure as Code (IaC), monitoring, load balancing, storage, and security services on AWS.
DEVOPS PIPELINE
Code
Git · GitHub/GitLab
Build
CI · Jenkins/Actions
Containerise
Docker · ECR
Deploy
K8s Orchestration
Monitor
Prometheus / Grafana
AI Monitor
Anomaly Detection
KEY TECHNOLOGIES
The DevOps with AWS & Generative AI course prepares you for high-demand cloud and DevOps careers including DevOps Engineer, AWS Cloud Engineer, Site Reliability Engineer (SRE), Platform Engineer and Infrastructure Automation Engineer. Below are common roles with their average salary packages in India.
Bridging development and IT operations, managing CI/CD pipelines, automating processes across the software delivery lifecycle.
Designing, planning and managing cloud infrastructure using AWS, Azure or Google Cloud for scalable, reliable systems.
Ensuring high availability & performance of production systems, automating reliability tasks and monitoring at scale.
Coordinating and managing product releases, ensuring smooth CI pipelines, testing gates and deployment workflows.
Automating repetitive tasks & infrastructure provisioning, setting up CI/CD pipelines and optimizing processes end-to-end.
PLACEMENT READINESS
Receive placement-focused mentorship including resume building, LinkedIn optimisation, mock interviews, technical guidance and hiring partner referrals with targeted job assistance and extended support. A structured journey from skill-building to your first job offer.
Core technical & soft skills through structured modules, workshops and guided coursework.
Real-world projects and portfolio building that employers immediately recognise.
Resume building, LinkedIn presence, personal brand and job market navigation.
Simulate real interview conditions. Structured feedback on answers and approach.
Connect with hiring partners and attend exclusive BinaryBrains placement drives.
Receive and negotiate your offer with full confidence — step into your career.
4-MONTH INDUSTRY INTERNSHIP
This is an optional program available after course completion at an additional cost — designed to provide real-world AWS Cloud and DevOps experience. Work on live infrastructure environments, deployment pipelines and automation workflows under experienced industry mentors. Not required to earn your certificate or placement support.
EC2 · VPC · EKS — real infrastructure, not sandboxes or demos.
Jenkins · GitHub Actions · Docker · K8s · Terraform in production.
Senior engineers review your code quality, architecture and efficiency.
Internship certificate + LinkedIn optimisation + GitHub portfolio showcase.
Interested in the internship? Ask your counsellor for details & pricing after enrolling.
Enquire About the Internship →CREDENTIALS & RECOGNITION
Upon successful completion earn an industry-recognised DevOps and AWS certification validating practical skills in cloud infrastructure, automation, CI/CD implementation and Generative AI-powered DevOps workflows.
ADMISSION & FEES
Flexible payment options including No Cost EMI, online enrollment and personalised career counselling. Available for both online and classroom training modes. Internship available as an optional add-on after completion.
Join BinaryBrains - DevOps program. Get a free counselling session today.
Everything you need to know about the Masters in DevOps with AWS program — eligibility, curriculum, placement, fees, and more.
An AI-first, 24-week program and GenAI built into every topic. Covers 20+ tools (Jenkins, Docker, Kubernetes, Terraform, ArgoCD, Splunk, Dynatrace, AWS), plus dedicated AIOps modules, Includes production-grade microservices capstone, live weekend mentorship, lifetime LMS access, 100% placement assistance, and a CEO-signed certificate — for freshers and professionals alike.
AI is transforming DevOps from a hands-on job into one where engineers guide intelligent systems. Through AIOps, tools now predict and monitor issues, respond to incidents automatically, and even self-heal systems before users notice a problem. GitHub Copilot generates infrastructure code, AI handles smarter testing, and automated cost optimization keeps cloud bills in check.
The result is faster deployments, more reliable systems, less manual work, and big efficiency gains across CI/CD pipelines, Kubernetes, and cloud operations. Looking ahead, expect agentic AI that runs operations on its own and predictive AIOps that prevents incidents instead of just reacting to them.
For freshers, this means AI fluency is your fastest way to become job-ready and stand out. For experienced engineers, it means shifting from repetitive tasks to orchestrating intelligent systems — and staying ahead in a field where AI skills are quickly becoming essential.
AI is now embedded across the DevOps lifecycle. Engineers who use tools like GitHub Copilot and Amazon Q Developer ship code faster, catch bugs earlier, automate pipelines more intelligently and optimize cloud costs using AI-driven recommendations on AWS.
AIOps adds predictive monitoring, automated anomaly detection, root cause analysis, and smarter alerting.
AI proficiency has become a core skill — it's what separates job-ready engineers from those who are merely certified, and it commands a significant salary premium.
This course is designed for fresh graduates, working professionals, non-tech background learners, or anyone including system administrators,network engineers, support engineers, and developers — looking to build a high-growth career in DevOps and Cloud.
Prior coding experience is not mandatory. We start from foundational concepts in Python, Linux, and Networking, gradually building up to advanced DevOps tooling.
Not at all! Our curriculum starts from zero. While basic scripting (Shell, Python) is taught, this course doesn’t require you to be a programmer. We start from foundational concepts in Python, Linux, and Networking, gradually building up to advanced DevOps tooling.
Yes, 100%. You’ll work on live use-cases, simulate DevOps pipelines, deploy real infrastructure on AWS, and manage CI/CD automation — just like you would in a real DevOps job. You’ll also build 2–3 projects with a capstone project at the end of the program to showcase in your portfolio.
We provide a structured 100% placement assistance program including:
Students also work on real-world projects and internship tasks, helping them build strong portfolios for DevOps and Cloud roles.
The internship is designed to give students real production-level DevOps experience through live projects and guided mentorship.
Students work on CI/CD pipelines, AWS infrastructure, Docker, Kubernetes, monitoring, logging, and deployment automation.
This is an optional program available after course completion at an additional cost — for students who want real production experience before their first job. Not required to earn your certificate or placement support.
We offer flexible payment options including:
• One-time payment discounts
• 0% EMI plans
• Monthly instalment options
Refund eligibility depends on our admission policy. Please connect with the admissions team for current offers.
We provide both online and classroom training options for students and working professionals.
Weekday and weekend batches are available, with flexible timing options including morning, evening, and weekend schedules.
Yes. Career changers from non-IT backgrounds can successfully transition into DevOps roles through our structured foundational training.
We start from basics including Linux, Python, Networking, and Cloud fundamentals before moving into advanced DevOps concepts.
The DevOps with AWS Master Program opens doors to high-demand job roles such as:
You will be trained to work with real-world tools and pipelines, making you job-ready for roles in top MNCs and startups hiring for cloud-native DevOps roles.
Our admissions counsellors are happy to walk you through any details over a quick call.
Start Your DevOps Journey
Fill in your details — a career advisor calls within 24 hours.
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Enquire About the Internship
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