• Program Duration

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

    Live, Online, Interactive

Why Join this Program

  • icons
    IITM Pravartak Advantage

    Live masterclasses by IITM Pravartak faculty and a program completion certificate

    Live masterclasses by IITM Pravartak faculty and a program completion certificate

  • icons
    Industry Collaboration

    Official AWS & Azure content with official certificates from MS Azure

  • icons
    AI Powered Curriculum

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

  • icons
    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!

Cloud & DevOps Career Opportunities

The demand for cloud engineers, developers, and architects is accelerating, with platform-specific certifications in AWS and Microsoft Azure becoming critical. By FY 2025, India will need more than two million cloud & devops professionals.(Source: Economic Times)

Industry Hiring Demand

DevOps Jobs Available in India

25K

Cloud Jobs Available in India

60K

YoY DevOps Engineer Salary

15% Rise

Companies Hiring for Cloud Roles

Cloud Computing and DevOps Course Overview

Become an expert with this AI-Powered Cloud Computing and DevOps Certification Program offered in partnership with IITM Pravartak. Master deploying reliable Microsoft Azure and AWS applications with theoretical and practical learning through self-paced videos, live virtual classes, interactive labs, and peer collaboration.

Key Features

  • Earn a program completion certificate from IITM Pravartak Technologies Foundation
  • Build your cloud portfolio with 30+ hands-on projects using our free integrated Cloud and DevOps labs
  • Attend live masterclasses by IITM Pravartak Faculty
  • Work on three industry-oriented capstone projects covering the latest cloud technologies
  • Develop expertise in multiple DevOps tools & 20+ cloud services & 200+ practice exercises
  • Get Microsoft Learn portal access and MS-branded certificates
  • Leverage GenAI to design, deploy, and manage intelligent cloud-native and DevOps solutions across AWS and Azure
  • Access Networking, group mentoring sessions & soft skills preparation by industry experts
  • Get access to a 2-day campus immersion at IIT Madras Research Park
  • Access 200+ hours of live learning and 100+ hours of self-paced learning
  • Leverage AI-powered resume-building, LinkedIn profile optimization, and 1:1 AI-powered mock interview

Cloud computing and DevOps Course Advantage

This program leverages IITM Pravartak's academic excellence in AI powered Cloud and DevOps. Acquire expertise in AWS, Azure & Google Cloud, focus on DevOps, and demonstrate your skills through real-world projects.

  • IITM Pravartak Certificate

    Partnership with IITM Pravartak

    • Earn a program certificate directly from IITM Pravartak Technologies Foundation within 90 days of program completion
    • Attend masterclasses led by IITM Pravartak Faculty
    • Become eligible for a 2-day campus immersion at IIT Madras Research Park
  • MS Azure Sample Certificate

    Microsoft Collaboration

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

    Microsoft Collaboration

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

Cloud and DevOps Program Details

This program leverages the academic excellence of IITM Pravartak in AI-powered Cloud and DevOps technologies. Gain practical expertise in AWS, Microsoft Azure, Google Cloud, on-premises DevOps, DevOps on the cloud. Showcase your skills through real-world projects.

Learning Path

    • Get started with the AI-Powered Cloud Computing and DevOps Certification Program with IITM Pravartak.
    • 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
    • AWS Course Introduction
    • AWS Core Concepts
    • AWS Compute 
    • AWS Storage Services
    • AWS VPC 
    • AWS Networking & Content Delivery
    • AWS Databases
    • AWS Security & IAM
    • Monitoring & Automation
      • AWS CloudWatch
      • AWS CloudFormation
    • Containerization in AWS
    • Lesson End Projects 
    • Tools Covered – AWS EC2, AWS RDS, AWS S3 
    • Skills Covered – IAM, EC2 Instance, AWS Storage, VPC, Route 53, DynamoDB, Amazon ElastiCache, Amazon Redshift, API, Lambda, AWS Fargate
    • 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
    • Docker Introduction
      • Overview
      • Docker Architecture and Installation
    • Docker Images and Registries
      • Docker Images and Containers
      • Image Management
    • Docker Storage and Volumes
      • Docker Storage
      • Docker Volumes and Bind Mount
    • Docker Container Orchestration
      • Introduction to Orchestration
      • Docker Swarm
      • Quorum in a Swarm Cluster
    • Networking in Docker
      • Docker Networking
      • Overview of Bridge Network
      • Host Network
      • Overlay Network
      • Container Networking Model
      • Network Drivers
      • Ports
    • Microservices Architecture
      • Container Microservices
      • Docker Networking 
    • Lesson End Projects
    • Core Concepts
    • Kubernetes Cluster 
    • Workloads​​​​​ 
    • Scheduling
    • Load Balancing and Networking
    • Storage​​​​​​ 
    • Lesson End Projects
    • Skills Covered – Load Balancing, Autoscaling, Command controlling, Networking, 
      Cloud Infrastructure, Workloads    
    • Tools Covered – Kubernetes
    • 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
    • IAC on AWS
      • Cloudformation
      • Code templates using Cloudformation
      • Case Study
    • (CI/CD) on AWS
      • Introduction
      • AWS CodePipeline
      • AWS CodeBuild
      • Deployment
      • Monitoring and managing CI/CD pipelines
    • Containerization and Orchestration on AWS
      • Docker
      • Container orchestration with Amazon ECS
      • Kubernetes on AWS
    • Tools Covered – Amazon EKS, AWS Cloudformation, AWS CodePipeline, AWS CodeBuild, Docker, Kubernetes
    • Lesson End Projects
    • Introduction
    • Azure identities and Governance
      • Subscriptions and Governance
      • RBAC
    • Implement & Manage Storage
      • Storage accounts
      • Azure Files configuration
    • Azure Compute Resources
      • Azure Virtual Machine
      • Azure Containers
    • Virtual Networking
      • Virtual Networking
      • Intersite connectivity
    • Azure Resources
      • Data Protection
      • Monitoring
    • Lesson End Projects
    • Skills Covered – Networking, Security and Governance, Storage, RBAC
    • Tools Covered – Azure Cloud Shell, Azure CLI, Azure Tags, Azure Active Directory, Azure Blob Storage
    • 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 online interactive cloud computing training classes conducted by professors from IITM Pravartak. 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 skills to scale up.

    • 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

  • Application Migration
  • Cloud Workloads
  • Database Management
  • MultiCloud and Hybrid Cloud Deployment
  • Disaster Recovery
  • Identity Access Management
  • Continuous Integration
  • Continuous Delivery
  • Version Control Systems
  • Infrastructure as a Code
  • Autoscaling
  • Web Services and APIs
  • Containerization
  • Orchestration
  • Monitoring
  • Infrastructure Provisioning
  • Microservices
  • Configuration Management
  • Storage Services
  • Performance Testing
  • Cloud Provider Selection
  • DevSecOps
  • Azure AD
  • Azure Workbooks
  • GeoReplication
  • Azure Backup
  • Site Recovery
  • Data Archiving
  • Cosmos DB
  • Load Balancer
  • Application Gateway
  • Azure Migrate
  • Responsible AI
  • 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
  • RAG systems

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 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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Join the Cloud & DevOps industry

The demand for Cloud Computing and DevOps experts is rising rapidly, with a 23.1% YoY increase last year. Professionals in these fields also benefit from a positive career outlook, reflected in a 42% turnover rate.

Job Icon30%

Error reduction achieved through AI in DevOps

Source: Gartner
Job Icon40%

Reduced cloud expenses with AI usage across companies in India

Source: Fortune Business
Job Icon₹6L - ₹50L

Average annual salary

Source: Glassdoor

Batch Profile

This AI 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
    Dell
    Microsoft
    Oracle
    IBM
    Deloitte
    Abbott
    Amazon
    Infosys
    Wells Fargo
    Barclays
    Adobe
    Intel
  • 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

Offer needs to be accepted by eligible candidates by paying the program fee

Eligibility Criteria

For admission to this Post Graduate Program in Data Science, candidates should have:

Should be either pursuing or have completed a bachelor’s degree
No prior coding experience or technical knowledge is required
Prior work experience is encouraged but not mandatory

Apply Now

Program Benefits

  • Certificate from IITM Pravartak Technologies Foundation
  • 2-day campus immersion at IIT Madras Research Park
  • Official MS Learn Certificates
  • Official AWS self-learning content access
  • AI-powered Job Assistance

Cloud and DevOps Course FAQs

  • What is the AI-Powered Cloud Computing and DevOps Program all about?

    The AI-Powered Cloud Computing and DevOps program trains you to master modern DevOps practices with a strong focus on AI-driven cloud solutions. Unlike standard cloud courses that stop at certifications and basic deployments, this program teaches you how to design, deploy, and manage intelligent cloud-native systems that utilize GenAI for automation, optimization, and scalable DevOps pipelines.
     

  • How does this program integrate Artificial Intelligence with Cloud Computing and DevOps?

    This program blends AI concepts with cloud and DevOps workflows in a practical way. You learn how AI models and automation tools fit into cloud environments, how to use machine learning services offered by major cloud platforms, and how AI can enhance CI and CD pipelines, monitoring, and infrastructure automation. The aim is to help you understand how modern teams use AI alongside cloud and DevOps to build smarter, faster, and more efficient systems.
     

  • What makes the partnership with IITM Pravartak unique?

    This collaboration gives you a strong academic foundation and industry focused training so you learn modern cloud and DevOps in a structured and practical way. It includes:

    • Masterclasses by IITM Pravartak faculty 

    • Learning aligned with current cloud and DevOps practices across AWS, Azure, and Google Cloud

    • Practice through labs, projects, and guided exercises to build real working confidence

    • Sessions led by trained instructors and industry professionals who share practical insights

    • Access to a learning community for doubt clearing, peer discussion, and motivation

    • Opportunity to visit the IITM Research Park for exposure to real innovation environments

  • Who is this program ideal for?

    • IT Analysts, Engineers, Consultants, Managers, and Senior Managers seeking career advancement

    • Professionals with 1+ years of non-relevant experience looking to move into the cloud or DevOps domain

    • Professionals with under 5 years of relevant experience who want to upgrade their skills and explore GenAI integration

  • Are there any prerequisites or prior experience required to enroll?

    1. This program is open to learners who are motivated to build cloud and DevOps skills.

    Eligibility Criteria:

    • You should be willing to learn AI-powered cloud computing and DevOps

    • You may come from a non-programming background

    • You need at least one year of prior work experience in any field

  • What key skills and technologies will I learn in this program?

    You will learn 47+ skills across data, AI, cloud, and deployment, and work with 33+ tools used in real projects. This includes Python, SQL, data cleaning, visualization, machine learning, and deep learning basics, as well as Git, Docker, and cloud services such as AWS and Azure.

  • Will I receive a certificate from IITM Pravartak after completing the program?

    Yes. After completing the program, you receive a certificate from IITM Pravartak Technologies Foundation within ninety days of completing the program.
     

  • What kind of projects or hands-on labs are included in the course?

    Learners will work on practical cloud and DevOps projects that mirror real work environments. These include

    • Deploying container-based apps

    • Setting up CI and CD pipelines

    • Automating infrastructure

    • Managing cloud services on AWS and Azure

    • Working with Kubernetes and Docker

    • Monitoring applications and scaling systems for performance and reliability

  • How does this program help in advancing my career in Cloud or DevOps roles?

    This program helps build skills that align with in-demand cloud and DevOps roles in the industry. It helps you to:

    • Gain core cloud and DevOps capability through guided practice and real projects

    • Work with AWS, Azure, containers, CI and CD tools, automation, and monitoring systems

    • Build a strong project portfolio to showcase practical experience

    • Receive support for resumes, interviews, and job search planning

    • Learn workflows used in modern tech environments, from deployment to automation

  • What job roles can I apply for after completing this course?

    You can pursue roles across cloud architecture, cloud engineering, DevOps, and infrastructure automation. Some common roles include:

    • Cloud Architect

    • Cloud engineer

    • DevOps engineer

    • Site reliability engineer

    • Cloud operations engineer

    • Infrastructure engineer

    • Automation engineer

    • AI-Cloud engineer

    • AI-Sloutions architect

    You will be well-prepared for positions that focus on cloud deployment, CI/CD pipelines, system monitoring, containerization, and automation in modern tech environments.

  • Is this program suitable for working professionals?

    Yes, it is suitable for working professionals. The schedule is designed to help you learn without interrupting your job, with recorded sessions, guided practice, and flexible self-paced study. You can apply new skills at work while building expertise in cloud and DevOps step by step. 
     

  • Does the course include live classes, or is it self-paced learning?

    This program includes live virtual classes with hands-on training guided by industry experts. Along with instructor-led sessions, you also get self-paced content through AWS Skillbuilder and Microsoft Azure learning modules to study in your own time.

  • What placement assistance or career support is offered after completion?

    You receive help to prepare for job opportunities once you finish the program. Support includes AI-based resume and LinkedIn profile makeovers, one-on-one mock interviews, and personalized job updates tailored to your skills and interests.

  • How can I enroll in the AI-Powered Cloud Computing and DevOps Program?

    To apply, follow a simple three-step process. First, submit your application by sharing your details and explaining your interest in this cloud and DevOps program. Next, the admission panel reviews all applications and shortlists suitable candidates. Once selected, you can confirm your seat by paying the admission fee and joining the program.
     

  • What are the advantages of our Cloud Computing & DevOps Certificate Program?

    Our DevOps and cloud computing course is an effective way to learn cloud computing because it offers an immersive and intensive learning experience focusing specifically on the practical skills and knowledge needed to excel in the field. This DevOps and cloud computing program provides hands-on training, real-world projects, and expert mentorship, offering seamless integration and allowing you to gain expertise and prepare for cloud computing roles in a shorter time than traditional educational programs.

  • Why should I take a Cloud DevOps course?

    Careers in cloud computing are abundant for those interested in getting started or looking to upgrade their certification(s). Our cloud computing and DevOps certificate program can help you check all those boxes and advance your career.

  • What is a Cloud Computing and DevOps course certificate?

    A Cloud Computing and DevOps course certificate validates your skills and demonstrates that you have a working knowledge of essential cloud concepts, tools, and techniques. Our cloud computing and DevOps Certificate Program will prepare you to take certification exams offered by AWS, Azure, and GCP.

  • Where can I start learning about cloud computing and DevOps?

    Many resources are available to understand and implement cloud computing concepts and techniques. There are online tutorials, books, self-paced online courses, and instructor-led virtual classes in online cloud and DevOps certificate programs that can help you learn cloud computing basics.

  • Is the cloud computing and DevOps course easy to learn?

    Cloud computing can be challenging to grasp, even for those with a technical background. Our cloud computing and DevOps certificate program will make it easier for you to comprehend the basics of cloud computing with an interactive learning environment.

  • What skills are needed for this AI-Powered Cloud Computing and DevOps Certification Program?

    Cloud computing involves many concepts and techniques that require extensive training. Some of the important skills required to earn a cloud computing certificate are an understanding of cloud service provider options, operating systems, networking, virtualization, cloud storage, cloud security, programming languages like Python or Java, and serverless computing.

  • 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.