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Advanced Certification Program Cloud Computing &Devops Engineering

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For Pro Plan

08-months

Duration

Online / Offline

Delivery Mode

English

Language

Beginner to Intermediate

Level

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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
  • Python • Machine Learning • Tableau
  • Build job-ready portfolios
  • Hands-on problem solving
  • Practical exposure to industry scenarios

Career & Placement 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 & Recognition

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

Peer Learning & 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 Cloud Essentials
    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

Perfect For Data Science Career Starters

College
Students

Build projects for campus
placements.

Career
Switchers

No coding experience
needed – start from basics.

Working Professionals

Weekend batches so you can
up-skill while working.

Fresh
Graduates

Job‐ready in 8 months with a
strong portfolio.

Why Start2Skill Data Science > Others

Start2Skill

TOPIC 01

Live mentors with 1:1 guidance from 5+ years industry experts

TOPIC 02

Hands-on real projects with practical, job-ready skills

TOPIC 03

Dedicated placement help with structured interview preparation

TOPIC 04

Flexible batches (weekends + online) with job guarantee

VS
Mentorship
Real Projects
Career Support
Flexibility & Assurance

Others

TOPIC 01

Live mentors with 1:1 guidance from 5+ years industry experts

TOPIC 02

Recorded videos with limited or no real-world projects

TOPIC 03

Generic resume templates, no placement support

TOPIC 04

Fixed schedules with no job guarantee

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Meet Your Experts Instructors

Ashutosh Sharma
Start2Skill
Senior Data Science Instructor, 10+ Years of Industry Experience
Rishu Raj Verma
Microsoft
Senior Data Scientist
Bhawana aggarwal
Accenture
Application Development Team Lead

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.

What Student Say

"The program gave me the confidence and skills to switch my career into Data Analytics. The mentorship and mock interviews really helped me crack my first job with a 6 LPA package."
Rohit SharmaData Analyst
Rohit Sharma
"I had no prior coding background, but the course made concepts simple and easy to understand. The placement support was excellent, and I landed multiple interview opportunities."
Priya NairBusiness Analyst Intern at Deloitte
Priya Nair
"The hands-on projects in Excel, SQL, and Power BI prepared me for real-world challenges. By the end of the course, I had a strong portfolio to showcase to employers."
Arjun MehtaGraduate Student
Arjun Mehta
"The placement assurance policy gave me peace of mind. Within three interviews, I got selected as a Data Analyst. I couldn’t have asked for a better start to my career."
Simran KaurFresher Placed at Infosys
Simran Kaur
"Coming from a non-technical background, I was nervous about analytics. But the step-by-step curriculum and industry mentors made the transition smooth and rewarding."
Karan VermaCareer Switcher
Karan Verma
"The combination of live sessions, self-paced learning, and mentor feedback made the program flexible yet impactful. The visualization skills I gained are highly valued in my job."
Sneha IyerData Visualization Analyst
Sneha Iyer
"What stood out for me was the career preparation. The mock interviews, resume workshops, and one-on-one mentor sessions gave me an edge in placements."
Ankit GuptaBusiness Analyst Trainee
Ankit Gupta
"I joined while pursuing my graduation. The flexible schedule allowed me to learn without affecting my studies. Now I feel fully job-ready before even completing my degree."
Ritika SinghFinal Year Student
Ritika Singh
"The best part of the program is the ongoing access to course material. Even after completing, I still revisit modules to strengthen my knowledge."
Neha KapoorPlaced at Accenture
Neha Kapoor

How You'll Learn" 4-Step Journey

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Advisor

Book a free 1:1 counselling call

Enroll in the Right
Course

Get a plan matched to your goals & level.

Learn with Live + Hands-on Projects

Attend live classes and build r

Get Career Guidance & Placement Support

Resume, interviews & job referrals.

Schedule a Free Call

Frequently Asked Questions

Who are these courses for?”

These courses are designed for:

  • Students and freshers who want job-ready skills

  • Working professionals looking to upskill or switch careers

  • Freelancers who want to offer services confidently

  • Business owners who want to understand and manage digital work
    No prior experience is required for beginner tracks—advanced tracks may expect basic familiarity.

Yes, we provide placement support such as:

  • Resume + portfolio review

  • Interview preparation (mock interviews + common questions)

  • Job/internship guidance and referral support (where available)

  • LinkedIn profile optimization
    Note: Placement depends on your performance, attendance, project quality, and market conditions. We support you through the process, but we don’t guarantee jobs.

Duration and schedule vary by course, but typically:

  • Course duration: 4–12 weeks (depending on course level)

  • Class frequency: 3–5 sessions per week

  • Session length: 60–120 minutes per class

  • Weekend batches: Available for working professionals
    After enrollment, you’ll receive the full batch calendar and timeline.

We offer online classes (live instructor-led) and offline classes (at our center), depending on your chosen batch and location.
Some courses may also be available in hybrid mode (offline + recorded support).

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