• Program Duration

    8 months (6-9 hrs / week)
  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    IIIT Bangalore Advantage

    Faculty masterclasses and program certificates from IIIT Bangalore

    Faculty masterclasses and program certificates from IIIT Bangalore

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    Industry Collaboration

    Includes modules from AWS and Azure with official MS Azure certificates in relevant modules

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    AI Powered Curriculum

    Learn AI powered cloud & DevOps, along with the latest trends, with free integrated labs

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    AI-Powered Job Assistance

    Access AI-powered resumes and LinkedIn updates, 1:1 mock interviews & custom job opportunities

Corporate Training

Enroll your employees into this program, NOW!

Program Overview

Gain in-demand tools like Docker, Kubernetes, and Terraform through hands-on labs and real-world projects. Attend exclusive Masterclasses by IIIT Bangalore faculty, earn a prestigious IIIT Bangalore certificate along with official AWS and Azure certificates from Microsoft, and build job-ready skills that set you apart in today's cloud and DevOps market.

Post Graduate Program Advantage

This program represents IIIT Bangalore’s academic excellence in Cloud and DevOps with AI applications. Acquire expertise in AWS, Azure & Google Cloud, focus on DevOps, and demonstrate your skills through real-world projects.

  • IIIT Bangalore Certificate

    Partnership with IIIT Bangalore

    • Earn a program certificate directly from IIIT Bangalore within 90 days of program completion
    • Attend masterclasses led by IIIT Bangalore faculty
    • Earn a program transcript (digital and physical) from IIIT Bangalore
  • MS Azure AZ 305 Certificate

    Microsoft Collaboration

    • Acquire an official Microsoft course completion transcript
    • Get an official course completion badge/certificate hosted on the Microsoft Learn portal

Program Details

Master cloud platforms, DevOps tools, and AI applications all in one program. From AWS and Microsoft Azure to Google Cloud and Kubernetes, gain the hands-on expertise employers demand, backed by the academic excellence of IIIT Bangalore.

Learning Path

    • Get started with the Certification Program in Cloud Computing and DevOps Program with IIIT Bangalore.
    • Explore everything about this unique program, covering the program's structure, curriculum, and learning outcomes. 
    • Understand what lies ahead and how this program can propel you toward your professional goals.
    • Learn at your own pace – Self-study curriculum
      • AZ 900
        • Azure Architecture
        • Azure management and governance
        • Azure deployment and monitoring
      • AZ 305
        • Azure Resource Manager
        • Azure IaaS
      • AWS Solutions Architect (Associate)
        • AWS Architecture
        • AWS cost estimation
        • AWS solution planning
        • IAM
        • EC2
        • EBS
      • Official AWS content
        • Cloud acquisition
        • Billing and cost management
        • AWS compute services
        • AWS RDS
        • Subnets
        • VPC
        • API
        • AWS Lambda
        • Database migration
    • Describe the basics of generative AI
    • Articulate how content generation can be used in business
    • Understand the risks and benefits of generative AI
    • Design, plan, and scale AWS implementations with cloud computing services.
    • Incorporates Amazon's recommended best practices for a comprehensive cloud computing learning experience.
    • The course includes an introduction to AWS, core concepts, computing features, storage services, networking and content delivery, databases, security, serverless and application services, monitoring and automation, and container service.
    • Explain the key characteristics of the AWS Cloud computing environment.
    • Analyze the core benefits of using AWS products and services.
    • Compare and contrast AWS Cloud services with on-premises infrastructure.
    • Implement a static webpage hosting solution by using Amazon S3.
    • Introduction to DevOps, DevSecOps, and Lifecycle Architecture
    • Version Control System & Git: Branching, Merging, Undoing Changes
    • Remote Git Repositories & Working with GitHub
    • CI/CD Pipeline: Overview and Hands-on Setup
    • Jenkins: Freestyle Jobs, Job Configuration, Notifications, Build Tools
    • Jenkins Pipeline: Scripting and Jenkinsfile Development
    • Hands-on Projects for Jenkins Management
    • Lesson End Projects 
    • Tools Covered: Git, GitHub, Jenkins, AWS S3, AWS EC2
    • Skills Covered: CI/CD, Version Control, Data Protection, Jenkins Build & Pipeline
    • Configuration Management
    • Ansible Configuration
    • Ansible Ad Hoc Commands
    • Working with YAML
    • Writing Ansible Playbooks
    • Ansible Roles and Vault
    • Infrastructure as Code 
    • Terraform Basics and Workflow
    • Terraform State
    • Read, Generate, and Modify Configurations
    • Lesson End Projects 
    • Tools Covered - Ansible, Terraform, YAML
    • Skills Covered - IAC, Configuration Management, Parallelism in Ansible, Ansible Loops, Ansible Galaxy, Multi-Cloud Deployment
    • Learn Docker basics, including architecture, images, and registries.
    • Understand Docker networking and orchestration with Swarm and Kubernetes.
    • Explore Docker storage, microservices, and security best practices.
    • Learn the basics of architecture, container runtime, and critical components like Kubelets.
    • Develop deployment strategies, workload scaling, self-healing pods, and application configuration.
    • Explore networking models, services, load balancing, security measures like RBAC, and network policies.
    • Introduction to Monitoring and Prometheus
      • Monitoring Fundamentals
      • Introduction to Monitoring with Prometheus
      • Getting Started with Prometheus
    • Implementing Monitoring with Prometheus
      • Metrics and Exporters
      • PromQL: Prometheus Query Language
    • Skills Covered – Monitoring, Aggregation Functions, Query Performance
    • Tools Covered – Prometheus
    • This DevOps on AWS course will enhance your understanding of DevOps and AWS. 
    • Develop advanced skills in CodeBuild, CodeDeploy, and CodePipeline for continuous delivery and integration.
    •  Streamline development processes and deploy applications on AWS.
    • Explore subscription and identity management, security, and infrastructure administration.
    • Dive into virtual networking configuration, on-premises connections, and network traffic management.
    • Implement storage solutions, create and scale virtual machines, deploy web apps and containers, and ensure effective data backup and solution monitoring.
    • Develop a strong foundation in AI concepts, including generative AI, computer vision, NLP, and responsible AI practices.
    • Gain hands-on experience with Azure AI services, tools, and containers to build, deploy, and manage intelligent applications.
    • Learn containerization with Docker and explore how to package and deploy AI services flexibly across cloud, on-premises, and edge environments.
    • Understand how to plan, prepare, and integrate AI solutions effectively into software development projects.
    • Track app performance & availability with Azure Monitor.
    • Use dashboards, metrics, and logs for full visibility.
    • Collect & analyze data across Azure, cloud, and on-premise.
    • Learn to design, build, and deploy intelligent AI agents on Azure.
    • Extend and optimize agents with advanced tools, multi-agent patterns, and real-world applications.
    • This capstone project will allow you to implement the skills learned throughout this training. 
    • Dedicated mentoring sessions will teach you how to solve real-world, industry-aligned problems.
    • The project is the final step in the learning path and will enable you to showcase your expertise to future employers.

Electives:

    • Attend live academic masterclasses by the top faculty and staff.
    • Gain insights about advancements in cloud computing and understand why it has become essential for any organization to understand, implement, and invest in cloud computing and DevOps skills to scale up.
    • Understand the evolving MLOps landscape, including multi-cloud and hybrid environments, serverless and edge computing, platform engineering, and practices like GitOps and Infrastructure as Code (IaC).
    • Explore advanced innovations such as AI-as-a-Service, AIOps, DevSecOps, IoT, FinOps, low-code applications, sustainable cloud, and quantum computing for scalable and ecient ML operations.
    • Attend live generative AI masterclasses and learn how to leverage it to streamline workflows and enhance efficiency.
    • Conducted by industry experts, these masterclasses delve deep into AI-powered creativity.
    • Cloud and DevOps Evolution
    • Emerging Innovations 
    • Multi-Cloud and Hybrid Cloud
    • Serverless Computing
    • Edge Computing
    • Platform Engineering
    • DevSecOps
    • GitOps and Infrastructure as Code (IaC)
    • Sustainable Cloud
    • AI-as-a-Service, AIOps
    • Quantum Computing
    • Low-Code Applications
    • FinOps
    • IoT
    • Introduction to GenAI
    • Cloud Infrastructure for Gen AI
    • Ethical Considerations and Responsible AI
    • Data Preparation and Management
    • Model Development and Training
    • Model Deployment and Serving
    • Gen AI on Azure, AWS, Google
    • Text Generation with Azure OpenAI
    • Federated Learning
    • Explainable AI
    • Ethical Considerations in Gen AI
    • Case Studies and Applications
    • Trends and Future Directions
    • Hands-on Projects
    • Fundamentals of Cloud data migration
    • Strategies and best practices for Data migration
    • Ensuring resilience and high availability in the Cloud
    • Integrating automation and DevOps in data migration
    • Real-world case studies and lessons learned
  • With this Microsoft Azure DevOps Engineer AZ-400 training, you will master the concepts of both DevOps and Azure and develop skills in SRE Strategy, Instrumentation Strategy, develop security and compliance plan, setup Azure service fabric, and integrating Azure pipelines, among other concepts.

    • Governance and Resource Management
    • Authentication and Authorization (Azure AD)
    • Logging and Monitoring (Azure Workbooks, Insights, Monitor)
    • High Availability (Traffic Manager, Geo-Replication)
    • Backup and Recovery (Azure Backup, Site Recovery, and Data Archiving)
    • Relational and Non-Relational Data (Azure Storage Account, Blob, Cosmos DB)
    • Data Integration (Azure Data Factory, Data Lake)
    • Automating Compute and Provisioning
    • Application Architecture (Microservices, Serverless, API Integration)
    • Network (Azure Virtual Network, DNS, Firewall, Network Watcher, Load Balancer, Application Gateway)
    • Migrations (Azure Migrate,Azure App Service, Database Migration Service)
    • Cost Optimization
    • Introduction
    • Threat Modeling Fundamentals
    • Understanding Threat Modelling Techniques
    • Securing DevSecOps Pipeline
    • Security Principles
    • Security in AWS 
    • Security in AWS CodePipeline
    • Amazon Elastic Kubernetes Service (Amazon EKS) 
    • AWS Security Hub
    • Security best practices in IAM
  • Simplilearn's Google Cloud Platform (GCP) Architect certification program will empower you with the skills needed to advance your career in cloud architecture. The course covers IAM, Networking, cloud storage, and much more.

  • Simplilearn’s comprehensive Python Course and training will teach you the basics of Python, data operations, conditional statements, shell scripting, and Django. This Python course will give you hands-on development experience and prepare you for an exciting career as a professional Python programmer.

47+ Skills Covered

  • Cloud Workloads
  • Application Migration
  • RAG systems
  • Continuous Delivery
  • Version Control Systems
  • Identity Access Management
  • Continuous Integration
  • Database Management
  • Web Services and APIs
  • Infrastructure as a Code
  • Autoscaling
  • Disaster Recovery
  • Containerization
  • Orchestration
  • Monitoring
  • Infrastructure Provisioning
  • Azure Workbooks
  • Configuration Management
  • Storage Services
  • Data Archiving
  • Responsible AI
  • DevSecOps
  • Azure AD
  • Microservices
  • GeoReplication
  • Azure Backup
  • Site Recovery
  • Performance Testing
  • Cosmos DB
  • Load Balancer
  • Application Gateway
  • Azure Migrate
  • Cloud Provider Selection
  • Explainable AI
  • Ethical Considerations in Gen AI
  • Gen AI on Azure AWS and Google
  • Azure OpenAI
  • Edge Computing
  • Platform Engineering
  • GitOps
  • AI as a Service
  • AIOps
  • LowCode Applications
  • FinOps
  • IoT
  • Azure AI Foundry
  • MultiCloud and Hybrid Cloud Deployment

33+ Tools Covered

amazon ec2amazon ecsapp servicesaws lambdaazure container serviceazure functionselastic beanstalkamazon dynamo dbamazon rdsazure cosmos dbazure SQL databaseaws cloud formationaws cloudwatchJenkinsANSIBLETerraformDocker FSDazure resource manageraws IAMazure key vaultazure security centeramazon route 53amazon s3azure dnsamazon efsamazon elastic block storageazure block blobGIT FSDMavenkubernetesPrometheusAmazon SagemakerOpen AI

Projects

  • Project 1

    Microservice Containerization AWS CodePipeline and ECS Cluster

    Set up a DevOps pipeline to automate CI/CD for containerized microservices using AWS CodePipeline and ECS Cluster.

  • Project 2

    Automated Azure Web App Deployment with Containers

    Automate infrastructure provisioning and microservices deployment on Azure Cloud using Azure Web App and Pipeline.

  • Project 3

    MultiCloud Deployment for a Web Application

    Implement a DevOps pipeline to migrate monolithic applications to microservices using AWS and Azure, with automated deployments using Jenkins and Ansible playbooks.

  • Project 4

    Set Up and Monitor a WordPress Instance

    Set up a WordPress instance on AWS using EC2 and RDS to ensure a reliable and secure online presence.

  • Project 5

    Realtime Data Management

    Deploy AWS infrastructure for real-time data management using services like Kinesis or Kafka to process streaming data.

  • Project 6

    Jenkins Backup and Restore on AWS S3

    Implement automated backups for Jenkins data using AWS S3 to ensure data is securely stored.

  • Project 7

    CICD Pipeline Implementation for Software on AWS EC2

    Build a CI/CD pipeline using Jenkins to automate testing, building, and deploying a software application on AWS EC2.

  • Project 8

    Deploying Web Application Using Ansible

    As a DevOps engineer, deploy a blogging platform using Ansible to automate the setup on an Nginx server.

  • Project 9

    Automate Infrastructure Provisioning with Terraform and Ansible

    Use Terraform for infrastructure provisioning and Ansible for configuration management, enabling automated and consistent deployment of environments.

  • Project 10

    Connecting Internet Workloads with VNet Peering and Custom RBAC

    Focus on setting up secure and efficient connectivity between virtual networks using VNet peering for an organization.

  • Project 11

    Load Balancer and CommandLine Automation

    Create a web application architecture for a corporation by distributing incoming traffic to healthy service instances via an Azure public load balancer.

  • Project 12

    Deploy the Application Using the Kubernetes Dashboard

    Deploy a multi-tier PHP and MySQL application using Kubernetes.

  • Project 13

    Swarm Microservice Deployment

    Deploy a scalable, multi-service voting application on a Docker Swarm manager node.

  • Project 14

    Deploying MultiTier Application

    Demonstrate the deployment of a multi-tier application using Docker Compose.

  • Project 15

    Automating CICD Pipeline for Spring Boot App Deployment on AWS

    Implement a CI/CD pipeline using AWS services to automate the deployment of a Spring Boot application on Amazon ECS.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

Program Advisors and Trainers

Program Advisors

  • Prof B Thangaraju

    Prof B Thangaraju

    Professor at IIITB

    Dr. B. Thangaraju, Professor at IIIT Bangalore, is a Ph.D. holder with 20+ years of experience, 60+ publications, and expertise in Linux, DevOps, embedded systems, and open-source technologies.

  • Vivek Yadav

    Vivek Yadav

    Technology Ocer and Adjunct Faculty at IIIT-Bangalore

    Vivek Yadav is a Technology Officer at IIIT Bangalore, recognized for mentoring ACM-ICPC aspirants, contributing to research, and earning IBM and Oracle certifications.

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Program Trainers

  • Ritesh

    Ritesh

    19+ years of experience

    AWS and Google Cloud Certified Trainer

  • Hitesh Kumar Sharma

    Hitesh Kumar Sharma

    16+ years of experience

    Ph.D. in CS, author of 5 Books & 50 Patents

  • Farhan Raza

    Farhan Raza

    8+ years of experience

    Microsoft Certified Azure Trainer

  • Abhijith V G

    Abhijith V G

    14+ years of experience

    Lead AI & Chatbot Architect, DevOps Trainer

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Batch Profile

This Cloud and DevOps course caters to professionals from diverse industries, enriching class discussions and interactions with a variety of perspectives and experiences.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 38%Software Product - 32%Banking - 9%Telecommunications - 7%Others - 14%
    Companies
    Microsoft
    Deloitte
    Amazon
    Infosys
    Oracle
    Wells Fargo
    IBM
    Intel
    Dell
    Adobe
    Barclays
    Abbott
  • The class maintains an impressive diversity across work experience and roles
    Designation Breakup
    Engineers - 21%Managers - 18%Consultants - 7%Analysts - 5%Tech Leads - 7%Others - 42%
    Total Years of Experience
    Between 30-35 Years - 22%Between 35-40 Years - 19%Between 25-30 Years - 18%Between 18-25 Years - 17%Between 40-45 Years - 16%>45 Years - 8%

Admission Details

Application Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.

STEP 1

Submit Application

Complete the application and include a brief statement of purpose

STEP 2

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

Selected candidates can join the program by paying the admission fee.

Eligibility Criteria

For admission to this cloud computing & devOps certification program, candidates:

Preferably, 1+ years of full-time work experience
May come from a non-programming background
A bachelor's degree with an average of 50% or higher marks

Apply Now

Program Benefits

  • Certificate & transcript from IIITB (digital and physical)
  • Official self learning content from IIIT Bangalore
  • Official MS Learn Certificates
  • Official AWS self-learning content access
  • Access to Simplilearn's AI-powered Job Assistance
  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
  • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
  • Career Impact Results vary based on experience and numerous factors.