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Advanced Certification Program Cloud Computing & Devops Engineering

Carrer Support
10 interview
Duration
(7+1) Months
Delivery Mode
Live online
Language

English

Level

Beginner to
Intermediate

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200+ Placed

Live Training

1:1 Mentorship

EMI Available

Everything You Get in This Course

Industry-Focused Projects

  • 5+ real-world projects
  • Build job-ready portfolios
  • Hands-on problem solving
  • Practical exposure to industry scenarios

Career Support

  • Resume & LinkedIn profile building
  • Job placement assistance
  • Mock interviews & interview prep
  • Career guidance from experts
  • Opportunities to showcase your skills

Live Instructor-Led Training

  • Live interactive sessions
  • Weekday & Weekend batches
  • Recorded sessions for revision
  • 24×7 mentor support
  • Doubt-solving & guided learning

Hands-On Learning

  • Practical hands-on projects
  • Real-world case studies
  • Data-driven problem solving
  • Industry-relevant assignments
  • Learn by doing approach

Certification

  • Industry-recognized certification
  • Proof of skill & course completion
  • Shareable digital certificate
  • Adds value to your resume
  • Valid for career growth

Networking

  • Peer-to-peer learning environment
  • Collaborate on projects
  • Community discussions & support
  • Networking with like-minded learners
  • Knowledge sharing sessions

Capstone Project & Mentorship

  • Final capstone project
  • Apply all learned concepts
  • Guided by industry mentors
  • Real business problem solving
  • Career-focused project experience

Master these Tools

Course Curriculum

1.SDLC

  • SDLC
    1. SDLC
    2. The Waterfall Model
    3. An Overview of the Agile Methodology
    4. Transforming SDLC using Cloud and DevOps

2.Python Programming

  • Introduction to Python
    1. Loops
    2. Conditional Statements
  • Arrays, Sets, OOPs,etc.
    1. Oops
    2. Classes
    3. Sets
    4. List
  • Flask
    1. Flask
    2. Routing
  • Introduction to Database and Flask
    1. Database
    2. MongoDB and PyMongo

3.Git and GitHub

  • Introduction to Gitand Github
    1. Version Control using Git
    2. Using GitHub for Collaborative Software Development
  • Advance Git
    1. Git Merge
    2. Branching
    3. Git Reset

4.Agile

  • Agile
    1. Agile Principles: Understand Effective Project Management Scrum and Kanban Apply Frameworks in Practice
    2. Adaptive Leadership: Develop Skills in Agile Environments Iterative
    3. Adaptive Leadership: Develop Skills in Agile Environments Iterative Development: Implement Continuous Improvement Techniques
    4. Team Collaboration: Foster Effective Communication
    5. Problem-solving:Enhance decision-making abilities in Agile Projects.

5.Testing, Linux and Servers

  • 1.Testing using Pytest
    1. Pytest Fundamentals
    2. Test Case Creation
    3. Test Automation
    4. Result Analysis
    5. Testing Efficiency Improvement
  • Introduction to Linux and Commands
    1. Linux OS
    2. Ubuntu
  • File System and Permissions
    1. Ubuntu Commands
    2. File System
    3. Permissions
  • Bash Programming
    1. Bash Scripts
    2. Loops
    3. Functions
    4. Variables
  • Understanding Networking
    1. OSI Model
    2. TCP/IP
    3. Routing
  • Apache2, and Nginx
    1. Web Servers
    2. Apache 2
    3. Nginx
  • Project
    1. Understand the CI-CD Pipeline Workflow using traditional methodology (bash, python, git, etc.).

6.Cloud Essentials

  • Introduction to CloudEssentials
    1. SAAS
    2. PAAS
    3. IAAS

7.AWS Cloud Deployment

  • AWS Major Services
    1. Introduction to AWS IAM
    2. EC2
    3. Elastic IPs
    4. VPC
    5. SSL Implementation
  • AWS S3 and RDS
    1. RDS
    2. S3
    3. Backups
    4. Glacier
  • AWS VPC
    1. Understanding the VPC design
    2. Working with public-private subnet, NAT, IGW VPC
    3. Peering
  • Elastic Load Balancer, AMIs and ASG
    1. Configuring and Managing AWS Elastic Load Balancer
    2. Amazon Machine Images
    3. Auto Scaling Groups (ASG)
    4. Integrating ELB, AMIs, and ASG
  • Project: Deploying MERN / Python based Application in AWS
    1. AWS Account Setup
    2. EC2 Instances
    3. Networking Setup
    4. Load Balancing
    5. Auto Scaling
    6. Security and Identity
    7. Database Configuration
    8. Storage and CDN
    9. Deployment Automation
    10. Monitoring and Logging
  • AWS CloudFront and SSL
    1. Creating and Configuring CloudFront Distributions
    2. Content Delivery and Caching Strategies
    3. Security and Access Control in CloudFront
    4. Monitoring and Optimizing CloudFront

8.Lightsail

  • Lightsail
    1. Instance Management
    2. Networking Configuration
    3. Application Deployment

9.Serverless Architecture & Cloud Automation

  • Automating using Boto3
    1. Boto3 Introduction
    2. AWS Service Interactions
    3. Scripting Automation
  • AWS Lambda and Cli
    1. AWS CLI
    2. Lambda
    3. EBS
    4. Develop practical skills in designing and implementing serverless solutions and automating using Generative AI
  • AWS SNS and SQS
    1. AWS SES
    2. SNS
    3. SQS

10.AWS Elastic Beanstalk

  • AWS Elastic Beanstalk
    1. Deploying python based application on Elast

11.CI/CD Pipeline

  • Github Actions
    1. GitHub Actions
    2. Software Development Flow
  • Introduction to CI/CD Pipeline
    1. CI/CD Pipeline
    2. Fundamentals of Pipeline
  • Jenkins
    1. Jenkins
    2. Groovy Code
    3. Optimising Jenkins Pipeline
    4. Configuring Agents
    5. Caching
    6. Pipeline optimization using Gen AI

12.AWS CodePipeline

  • AWS CodePipeline
    1. AWS Codebuild
    2. Codecommit
    3. End-to-end Pipeline

13.Containerization and Container Orchestration

  • Introduction to Containers and Docker
    1. Containerization
    2. Docker
  • Docker Hub and Docker Compose with GenAI
    1. Docker Hub
    2. Docker Compose
    3. Optimizing and automating Dockerfile using Gen AI
  • ECR, ECS and Fargate
    1. AWS ECR
    2. ECS
    3. AWS Fargate
  • Docker Swarm and Introduction to Kubernetes
    1. Docker Swarm
    2. Container Orchestration, K8s
  • Kubernetes Project
    1. Kubernetes Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler (VPA)
    2. Kubernetes Services, Ingress Controllers (NGINX, Traefik)
    3. GitOps, ArgoCD
    4. Helm
    5. EKS
    6. Deploying and Scaling Web Application

14.Automation

  • Terraform with GenAI
    1. IAC, and Terraform
    2. Terraform states and environment management
    3. Terraform infrastructure using GenAI
  • Ansible
    1. Configuration Management using Ansible
  • GitOps – ArgoCD
    1. GitOps
    2. ArgoCD
  • Project
    1. Terraform
    2. Ansible

15.Cloudformation

  • Cloudformation
    1. AWS CloudFormation
    2. CloudFormation Stacks
    3. CloudFormation Templates

16.Monitoring

  • Graffana and Prometheus
    1. Graffana and Prometheus
  • AWS Cloudwatch
    1. AWS Cloudwatch
  • ELK Stack
    1. Elasticsearch
    2. Logstash
    3. Kibana

17.Architecture

  • AWS Architecture
    1. Understand key services like EC2, S3, RDS, VPC, and IAM and how they fit into AWS architecture
    2. Explore multi-AZ, load balancers, and auto-scaling concepts for resilient architecture
    3. Design a web-tier, app-tier, and database-tier using AWS services in a secure VPC setup
  • API & Deployment Strategies
    1. Create RESTful APIs using Amazon API Gateway and integrate with AWS Lambda for serverless execution
    2. Deployment Models: Blue/Green, Canary, Rolling
    3. Redis & Kafka
  • Optimizations & Recovery Designing Architecture
    1. Use tools like AWS Cost Explorer, Trusted Advisor, and choose the right instance types and pricing models
    2. Leverage caching (CloudFront, ElastiCache) and compute scaling (ASG, Lambda) for better performance
    3. Implement snapshots, AMIS, cross-region replication, and recovery strategies using services like AWS Backup
    4. Use microservices, auto-scaling, and stateless design patterns for scalable architecture
    5. Security Best Practices: Design secure applications with IAM roles, security groups, KMS, and VPC endpoints
  • Migration
    1. Migration Strategies
    2. AWS Migration Tools: Explore tools like AWS Migration Hub, Application Discovery Service, and Server Migration Service (SMS)
    3. Planning & Execution Steps: Cover pre-migration assessment, cutover planning, testing, and validation

18.Azure

  • Azure Administrator and Networking
    1. Overview of Azure core services, subscription structure, and the Azure Portal; manage users, roles, and access using Azure Active Directory (AAD)
    2. Introduction to Azure virtual networking: create VNets, subnets, NSGs, and understand basic network routing and peering
  • Azure Databases & Storage
    1. Explore Azure Storage types: Blob, File, Queue, and Table storage, with lifecycle and access management
    2. Overview of Azure SQL Database, Cosmos DB, and basic provisioning, scaling, and security configurations
  • Azure DevOps
    1. Understand Azure DevOps services: Repos, Pipelines, Boards, and Artifacts for CI/CD lifecycle management
    2. Create a basic pipeline to build and deploy code using Azure Pipelines with GitHub or Azure Repos integration
  • Azure DevOps – 2
    1. Implement release pipelines, environment approvals, and deployment strategies (rolling, blue/green)
    2. Integrate Infrastructure as Code (IaC) using ARM templates or Terraform with Azure Pipelines
  • Azure Monitoring and Governance
    1. Use Azure Monitor, and Log Analytics to track performance and troubleshoot resources
    2. Apply governance using Azure Policy and Cost Management to enforce compliance and budget controls

19.GCP

  • Introduction to GCP and Networking
    1. Overview of GCP services, projects, billing, and resource hierarchy (organization, folders, projects)
    2. Set up Virtual Private Cloud (VPC), subnets, firewalls, and understand GCP’s global network architecture
  • GCP Storage and Databases and IAM
    1. Explore Cloud Storage, Cloud SQL for storing structured and unstructured data
    2. Manage user access and security using Identity and Access Management (IAM) roles and policies
  • Pipeline Architecture in GCP
    1. Design and build CI/CD pipelines using Cloud Build, Cloud Source Repositories, and Artifact Registry
    2. Automate deployments with Cloud Deploy or integrate GCP with GitHub Actions or Jenkins
  • GCP Monitoring and Logging
    1. Monitor infrastructure and applications using Cloud Monitoring, dashboards, and uptime checks
    2. Use Cloud Logging and Error Reporting to collect, filter, and analyze logs across GCP services
  • Serverless in GCP
    1. Build and deploy applications using serverless services like Cloud Functions, Cloud Run, and App Engine
    2. Understand event-driven architecture and integrate with Pub/Sub, Cloud Storage
View Full Curriculum
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Who Can Enroll in Our Courses

Future-Ready Students

Get ahead in campus placements by mastering in-demand AI and tech skills.

Aspiring Tech Professionals

No prior experience required — learn step-by-step from core fundamentals.

Working Professionals

Flexible schedules so you can upskill and grow while working full-time.

Fresh
Graduates

Become job-ready with hands-on projects and an industry-focused portfolio.

Enquire Now

Fees Structure

Total Amount:- 84,999/-

EMI Options
No Cost EMIStanderd EMI
14919/ Month (For 6 Month)4243/ month (For 24 Month)

Fees Structure

    Meet Your Expert Mentors

    Rishu Raj Verma
    Microsoft
    Senior Data Scientist
    Ashutosh Sharma
    Start2Skill
    Senior Data Science Instructor, 10+ Years of Industry Experience
    Bhawana aggarwal
    Accenture
    Application Development TeamLead
    Pawan Singh
    Epsilon
    Lead Business Operations
    Sandeep Sharma
    Oracle
    Data Architect
    Dilip Andrew
    Taskus
    Business Insights Data Science Manager
    Joan Sebastian Cruz García
    Atento
    Reporting Manager
    Mrinalini Agarwal Singh
    Social Brands Builders
    Founder
    Ashutosh Sharma
    Start2Skill
    Senior Data Science Instructor, 10+ Years of Industry Experience
    Rishu Raj Verma
    Microsoft
    Senior Data Scientist
    Bhawana aggarwal
    Accenture
    Application Development TeamLead

    Get certified by Start2Skill

    Earn industry-backed

    Recognition and Career Opportunities

    Industry-Endorsed Certificate

    Get certified upon course completion with a recognized credential, validating your skills in Data Science andBusiness Intelligence.

    Strong Peer Network

    Become part of a thriving community of learners and
    professionals from top companies.

    Recognized Across Industries

    Our certification is trusted by hiring managers across domains—ideal for career switchers and freshers alike.

    Industry-Ready Success Stories

    “I joined Start2Skill during my final year of college. The practical assignments helped me understand real campaigns, not just theory. Within 2 months, I secured an internship at a marketing agency. The mentorship made a huge difference.”
    Rohit SharmaDigital Marketing Program
    Rohit Sharma
    “The hands-on training with Excel and Power BI gave me confidence to apply for analytics roles. The projects we worked on were very practical. I now feel job-ready.”
    Priya Mehta – Data Analytics Course
    Priya Mehta
    “Before joining, I only knew basic social media posting. Now I understand paid ads, targeting, and campaign optimization. The sessions were very practical and clear.”
    Aman Verma – Performance Marketing
    Aman Verma
    “The portfolio guidance was the best part. I now have real projects to show in interviews.”
    Neha Gupta-Software Development Programe
    Neha Gupta
    “I appreciated the live doubt-clearing sessions. It didn’t feel like a recorded course. The mentorship support really helped me improve.”
    Kiran Patel – Digital Marketing
    Kiran Patel
    “Flexible learning allowed me to balance college and upskilling. The course structure was very well organized.”
    Arjun Singh -Data Science
    Arjun Singh
    “I was able to run my first live ad campaign during the course. That hands-on experience was very valuable.”
    Harsh Agarwal – Performance Marketing
    Harsh Agarwal
    “The teaching approach was beginner-friendly but still industry-relevant.”
    Anjali Verma–Applied AI & Agentic AI
    Anjali Verma
    “I joined to upgrade my skills and the course delivered exactly what was promised — practical learning and clarity.”
    Rahul Khanna–Software Development
    Rahul Khanna

    The Path to Your Tech Career

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    Advisor

    Book a free 1:1 counselling call

    Enroll in the Right
    Course

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    Learn with Live + Hands-on Projects

    Attend live classes and build r

    Get Career Guidance & Placement Support

    Resume, interviews & job referrals.

    Frequently Asked Questions

    What will I learn in the Start2Skill Cloud Computing and DevOps Certification?

    You will master the complete DevOps lifecycle and multi-cloud management. The curriculum covers foundational Linux and Python, followed by deep dives into AWS, Microsoft Azure, and Google Cloud Platform (GCP). You’ll gain hands-on expertise in industry-standard tools like Docker for containerization, Kubernetes for orchestration, Jenkins for CI/CD, and Terraform for Infrastructure as Code (IaC).

    Yes. Start2Skill’s Advanced Program is designed with a “zero-to-hero” approach. We begin with the fundamentals of networking and operating systems to ensure students from non-technical backgrounds can transition smoothly. The program progressively moves to advanced engineering concepts, making it ideal for fresh graduates, system admins, and software developers looking to upskill.

     Unlike theoretical courses, Start2Skill focuses on Project-Based Learning. Students work on 10+ real-time industry projects, including building automated CI/CD pipelines, deploying microservices on Kubernetes, and managing cloud infrastructure using Terraform. This hands-on approach ensures you have a professional portfolio to show employers by the end of the program.

    This certification prepares you for high-demand roles such as Cloud Engineer, DevOps Engineer, Site Reliability Engineer (SRE), Build & Release Engineer, and Cloud Architect. With the rise of “Cloud-First” strategies in global enterprises, our graduates are equipped to work in any organization utilizing automated software delivery.

    Yes, Start2Skill provides dedicated Career Excellence Support. This includes professional resume building, LinkedIn profile optimization, and 1-on-1 mock interviews with industry experts. We also provide access to our hiring partner network to help you secure interviews at top tech companies and startups.

    Start2Skill offers a unique Hybrid Learning Model—combining live instructor-led sessions with self-paced practical labs. We differentiate ourselves by providing 24/7 technical support, lifetime access to course updates (essential in the fast-moving cloud space), and mentorship from engineers currently working at Fortune 500 companies.

    The program covers all three major providers—AWS, Azure, and GCP. While we focus deeply on AWS as the market leader, we provide specialized modules on Azure DevOps and Google Cloud infrastructure. This multi-cloud approach ensures our students are versatile and ready for “Hybrid-Cloud” environments favored by modern enterprises.

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