New Batch enrolling now

AI-Powered Cloud & DevOps Master Program

Master AWS, Azure, Docker, Kubernetes and CI/CD pipelines — with AIOps and AI-powered cloud automation built in from day one.

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Duration

9 Months

Mode

Live Online

Certified by

Microsoft Azure + IBM

AI-Powered Cloud & DevOps Master Program

Live Online

9 Months

Learnbay

94% placed

Placement Rate 94%

Alumni 15,000+

Deepak Singh Cloud Architect @ Wipro

"The AI + Cloud combination is rare in the market. I got promoted to Cloud Architect within 6 months."

Ananya Ghosh DevOps Engineer @ HCL

"Hands-on labs with real AWS and Azure environments. Nothing better in India for cloud + AI."

What You'll Learn

Program Curriculum

Nine core modules plus role-specific electives — from Linux and Python to multi-cloud architecture, DevSecOps, MLOps, and GenAI-powered cloud automation.

Linux command line, shell scripting & cron jobs

File systems, permissions & process management

Networking fundamentals: TCP/IP, DNS, HTTP/S

Cloud computing models: IaaS, PaaS, SaaS

Virtualisation & hypervisor concepts

SSH, VPNs & secure remote administration

Python fundamentals for infrastructure automation

Boto3: AWS SDK for Python

Azure SDK for Python & REST APIs

Writing infrastructure scripts & automation tools

YAML & JSON for cloud config management

EC2, S3, VPC, IAM & core AWS services

RDS, DynamoDB & managed database services

Lambda, API Gateway & serverless architecture

ECS, EKS & container orchestration on AWS

CloudFormation & infrastructure-as-code on AWS

AWS Well-Architected Framework & cost optimisation

Docker: images, containers, Dockerfile, Compose

Kubernetes: pods, deployments, services, Helm

CI/CD pipelines with Jenkins, GitHub Actions

Terraform: IaC for multi-cloud provisioning

Ansible: configuration management & playbooks

Monitoring: Prometheus, Grafana, ELK Stack

Azure core services: VMs, App Services, Functions

Azure DevOps: pipelines, boards, repos

Azure Kubernetes Service (AKS)

Azure Active Directory & identity management

Azure Monitor, Application Insights & alerting

Azure AI services & Cognitive APIs

Shift-left security: SAST, DAST, SCA in CI/CD

Secrets management: HashiCorp Vault, AWS Secrets Manager

Container security: image scanning, runtime policies

Zero-trust networking & service mesh (Istio)

Compliance frameworks: SOC 2, ISO 27001, GDPR

MLOps pipeline: training, versioning, deployment

AWS SageMaker & Azure ML Studio

Model monitoring & drift detection in production

GenAI Essentials: LLMs, prompting, IBM Watsonx on cloud

AIOps: AI-driven incident management & alerting

Cost optimisation for AI/ML cloud workloads

Tools & Technologies

What You'll Work With

AWS Microsoft Azure Docker Kubernetes Terraform Linux Python Jenkins GitHub Actions Ansible Prometheus Grafana ELK Stack Google Cloud Platform IBM Watsonx AWS SageMaker Azure ML Helm Istio Git & GitHub

Ideal Candidates

Who Should Enrol

System Administrators

IT sysadmins who want to evolve into cloud engineers and SREs — managing infrastructure at scale with modern cloud-native tools.

Support & Ops Engineers

IT operations and support professionals transitioning into DevOps, platform engineering, and cloud infrastructure roles.

Solution Architects

Technical architects who want to design and evaluate AI/ML-enabled cloud solutions using AWS, Azure, and multi-cloud patterns.

Developers Moving to Cloud

Backend and full-stack developers who want to deepen their cloud and DevOps skills and move into platform engineering roles.

Credentials

Certifications You'll Earn

Microsoft Azure

Microsoft Azure Cloud Certificate

A globally recognised Microsoft credential validating cloud architecture and Azure DevOps skills — one of the most in-demand certifications in enterprise tech.

IBM

IBM Generative AI Certificate

IBM credential validating your GenAI and MLOps expertise on cloud platforms — recognised across MNCs and Fortune 500 companies worldwide.

AI Co-Lab

Startup Cloud & AI Project Certificate

Employer-endorsed certificate from solving real cloud infrastructure and AI integration challenges for live startups in the AI Co-Lab.

Learnbay

Cloud & DevOps Master Certification

Comprehensive program completion certificate covering AWS, Azure, Kubernetes, Terraform, DevSecOps, and MLOps — a full portfolio credential for cloud roles.

Career Services

Complete Placement Support

Resume Building

Cloud and DevOps engineer resumes optimised for ATS and tailored for cloud-native and platform engineering roles.

Mock Interviews

Cloud architecture, Kubernetes, and Terraform scenario interviews plus AWS/Azure service design questions with industry experts.

Interview Referrals

Direct referrals at 350+ partner companies including Microsoft, AWS, IBM, Infosys, HCL, and cloud-first product companies.

LinkedIn Optimisation

Profile keyword strategy for cloud engineer, SRE, and DevOps roles to maximise recruiter reach at enterprise tech companies.

24/7 Doubt Support

Round-the-clock support for cloud architecture questions, hands-on lab issues, and certification preparation guidance.

1-on-1 Mentorship

Personalised guidance from cloud architects and DevOps leads at Walmart, PayPal, and leading cloud-native companies.

Investment

Program Fee & Enrolment

₹1,59,000

+ 18% GST | EMI from ₹13,250/month

250+ hours of live instructor-led classes
3-year subscription with unlimited access
15+ guided cloud & DevOps projects
Microsoft Azure + IBM certifications
Role-specific elective tracks
Complete placement assistance
24/7 doubt resolution support

Enroll Now → Book Free Demo Class

No-cost EMI available on all major bank cards & NBFC partners

FAQ

Frequently Asked Questions

No. The program starts with Linux fundamentals and cloud basics (Module 1), making it accessible for IT professionals from sysadmin, networking, or support backgrounds. Basic IT knowledge is sufficient.

The core curriculum covers AWS deeply (AWS Practitioner through Professional Solutions Architect level) and Microsoft Azure. Google Cloud Platform is included in the multi-cloud and system design modules.

You earn IBM GenAI and Microsoft Azure certificates through Learnbay. The curriculum also prepares you for AWS Solutions Architect and Azure Administrator exams, which you can pursue independently after the program.

Yes — four role-specific elective tracks are available: Network Professionals, System Administrators, IT Operations, and Database Administrators. Each elective is 40 hours focused on your specific career path.