DevOps Course with Gen AI • Pune
Professional
in Pune
Want a high-growth career in Cloud & DevOps Engineering? SkillSha's DevOps Course with Gen AI teaches you the exact technologies modern tech companies demand—Linux, Docker, Kubernetes, Terraform, AWS, Jenkins, GitHub Actions, and AIOps.
This is a complete, hands-on certification program built for developers, system administrators, and tech professionals worldwide. You will build and deploy real production infrastructure on AWS, automate GitOps delivery pipelines, leverage Gen AI to write IaC 5x faster, and receive dedicated 100% placement support.
Limited Time Offer: 50% Discount + Cashback + 0% Interest EMI Available Worldwide
1.5 Lakh+
Aspirants Mentored
350+
Hiring Partners
40+
Industry Mentors
Abhay
Zoho
Pankhuri
Flipkart
Lakshit
Razorpay
Laxmi
Freshworks
Gauri
Zomato
Priya
Meesho
Yogesh
Swiggy
Ahmad
Paytm
Abhishek
Cred
Riya
Nykaa
Sneha
Zepto
Manish
PhonePe
Deepika
Uber
Alok
Tata Elxsi
Shweta
Wipro
Rahul
TCS
Kavita
Cognizant
Suresh
Capgemini
Meera
HCLTech
Vikram
Tech Mahindra
Swati
LTIMindtree
Gaurav
Hexaware
Kiran
Mphasis
Sunita
Genpact
Rajesh
Birlasoft
Anil
KPIT
Pooja
UST
Deepak
Coforge
Ritu
Virtusa
Abhay
Zoho
Pankhuri
Flipkart
Lakshit
Razorpay
Laxmi
Freshworks
Gauri
Zomato
Priya
Meesho
Yogesh
Swiggy
Ahmad
Paytm
Abhishek
Cred
Riya
Nykaa
Sneha
Zepto
Manish
PhonePe
Deepika
Uber
Alok
Tata Elxsi
Shweta
Wipro
Rahul
TCS
Kavita
Cognizant
Suresh
Capgemini
Meera
HCLTech
Vikram
Tech Mahindra
Swati
LTIMindtree
Gaurav
Hexaware
Kiran
Mphasis
Sunita
Genpact
Rajesh
Birlasoft
Anil
KPIT
Pooja
UST
Deepak
Coforge
Ritu
Virtusa
Milestone
Ten
Duration
24 Weeks (6 Months)
Mode
Online
Live Sessions
50+ hrs
Projects
12+
Placement Support
Milestones
Ten
Duration
24 Weeks (6 Months)
Mode
Online
Live Sessions
50+ hrs
Projects
12+
Placement Support
Why Choose Skillsha?
Why Choose Skillsha's DevOps Course with Gen AI Course with Gen AI?
Here is what makes Skillsha different in the crowded DevOps Course with Gen AI course market.
verified_user100% Placement Support—Proven Results Globally
- check_circleDirect referrals to 500+ tech companies hiring DevOps Engineers and SREs
- check_circleComprehensive resume review showcasing production-grade GitHub infrastructure code
- check_circle1-on-1 technical mock interviews covering container orchestration and system architecture
- check_circleSalary negotiation guidance for roles averaging ₹14L to ₹24L+ per annum
Last year, 94% of our graduates secured jobs within 60 days. That's not a promise—that's our track record.
boltGen AI Integration—Your Competitive Edge
- boltUse ChatGPT and Claude to write, optimize, and debug complex Terraform configurations
- boltGenerate Kubernetes manifests, Helm templates, and ingress rules with AI prompt engineering
- boltIntegrate AIOps into monitoring stacks for automated error log triage and incident root cause analysis
- boltAutomate repetitive Bash scripts and CI/CD pipelines using GitHub Copilot
Every recruiter is looking for professionals who understand AI. Our DevOps Course with Gen AI makes you exactly that professional.
Mentorship
Expert Trainers with Global Industry Experience
Learn from active DevOps architects who manage Kubernetes clusters, design multi-region cloud infrastructure, and automate CI/CD pipelines.
Lead Instructor
- •Lead Engineer at MathCo specializing in Generative AI, Cloud & MLOps Infrastructure
- •Google Developer Expert (GDE) in AI/ML & AWS Community Builder
- •Co-Founder at Quantum Computing India, TEDx speaker & Global Tech Keynote Speaker
- •Specializes in AIOps, automated IaC generation, and self-healing cloud deployments
“DevOps and Generative AI are transforming how modern software is shipped. We teach you to architect self-healing cloud platforms with automated intelligence.”
Senior Trainer
- •Senior Cloud & DevOps Engineer at Tata Consultancy Services (TCS)
- •Specialist in Kubernetes orchestration, Docker container lifecycle & Azure DevOps
- •Expert in Terraform Infrastructure-as-Code & zero-downtime microservice pipelines
- •Active technical writer and community mentor on Kubernetes and platform engineering
“Kubernetes reliability isn't magic—it's understanding how to configure resilient desired states, multi-stage containers, and automated GitOps delivery.”
8+ Yrs Exp
• Specialist in Kubernetes orchestration, Docker container lifecycle & Azure DevOps
“Kubernetes reliability isn't magic—it's understanding how to configure resilient desired states, multi-stage containers, and automated GitOps delivery.”
Affordable Yet Premium Quality
local_offerStandard price: ₹40,000
local_offerEarly-bird discount: ₹20,000 (50% off)
local_offerAdditional cashback: ₹2,000 on one-time payment
local_offer0% Interest EMI available worldwide
local_offerTransparent pricing with no hidden costs
Includes AWS sandbox lab credits and real cloud deployment accounts
Course USPs
What Makes This DevOps Course with Gen AI Course Different?
Skip theoretical tutorials. We build job-ready DevOps Engineers and Cloud Architects with real AWS accounts, live Kubernetes clusters, and production GitOps workflows.
dashboard_customize1. Real Multi-Cloud Production Environments
- check_circleDeploy live microservices on Amazon EKS with ingress controllers and automated SSL
- check_circleProvision multi-environment infrastructure with modular Terraform and remote state locking
- check_circleConfigure zero-downtime GitOps continuous delivery with ArgoCD and GitHub Actions
- check_circleSet up enterprise monitoring dashboards with Prometheus, Grafana, and Alertmanager
cluster_health.json
Cluster Health100%
Deploy Success99.8%
MTTR (Recovery)3.2m
KubernetesTerraformCI/CD Active
terminal2. Verifiable GitHub Infrastructure Portfolio
- check_circleProduction-ready Terraform modules for AWS VPC, EKS, RDS, and bastion setups
- check_circleCustom Helm charts with dynamic templating and values overrides
- check_circleFull CI/CD workflow YAML pipelines with automated security testing and container scanning
- check_circleAIOps incident triage bot with webhook listeners and LLM root-cause diagnosis
deploy_pipeline.yaml
1 kubectl apply -f k8s/prod/
2 deployment.apps/api configured
3 argocd app sync production
4 ✓ Healthy in 4.2s (zero downtime)
git commit verified
workspace_premium3. Industry-Recognized DevOps Certification
- check_circleOur DevOps Course certification is globally recognized and demonstrates verifiable proficiency across modern cloud platforms, containerization, and automation.
SkillSha Certified
cloud_sync4. Real Chaos Engineering & AIOps Incident Response
- check_circlePractice resolving simulated production cluster outages, pod crash loops, and network partitions with AI-assisted runbooks.
CI/CD & Cloud TrackerActive
Pods Running64 / 64
Build Time1m 42s
Uptime SLA99.99%
1
Linux & Terminal Foundations
folder
Linux architecture, kernel & filesystem hierarchy
Permissions, user groups & file management
code
Bash scripting, automation & scheduling
Variables, loops, functions, cron jobs & systemd
lan
Linux networking & secure shell protocols
SSH keys, iptables, DNS resolution & curl/netstat
bolt
AI-assisted bash script generation
Using ChatGPT & Claude to write & debug bash scripts
troubleshoot
Process monitoring & resource triage
htop, ps, kill, journalctl & memory leak troubleshooting
1
Advanced Git & Team Workflows
fork_right
Git branching strategies & GitFlow model
Feature branches, pull requests & code review etiquette
merge
Merge conflicts, rebasing & cherry-picking
Resolving complex merge states and maintaining clean trees
security
Git hooks & automated pre-commit linting
Husky, commitlint & automated secret scanners
smart_toy
GitHub Copilot for DevOps workflows
Generating workflow YAMLs and git command automation
tag
GitHub release tagging & semantic versioning
Automated changelogs and semver tags
1
Docker Engine & Multi-Stage Builds
layers
Docker architecture, daemon, images & containers
Container isolation, cgroups & namespaces
build
Writing production-grade Dockerfiles
Multi-stage builds, Alpine/distroless base images & layer caching
storage
Docker networking & persistent volume storage
Bridge, host, overlay networks & bind mounts
dns
Multi-container orchestration with Docker Compose
Environment files, service dependencies & healthchecks
shield
Container vulnerability scanning with Trivy
Scanning images for CVEs and securing rootless containers
1
Kubernetes Cluster Orchestration
schema
Kubernetes architecture & control plane components
API server, etcd, scheduler, kubelet & kube-proxy
widgets
Pods, ReplicaSets & Declarative Deployments
Rolling updates, rollbacks & replica management
alt_route
Kubernetes Services & Ingress controllers
ClusterIP, NodePort, LoadBalancer & NGINX Ingress with SSL
key
ConfigMaps, Secrets & environment injection
Decoupling configuration from application codebases
hard_drive
Storage in K8s: PersistentVolumes & PVCs
Dynamic provisioning with StorageClasses & CSI drivers
1
Helm & Cloud-Native Ecosystem
inventory
Helm package management & custom charts
Templating YAML manifests, values.yaml & chart dependencies
trending_up
Cluster autoscaling (HPA & VPA)
Scaling pods based on CPU, memory, and custom metrics
admin_panel_settings
Role-Based Access Control (RBAC) & ServiceAccounts
Securing cluster access with fine-grained roles & rolebindings
sync
GitOps deployment with ArgoCD
Continuous reconciliation, declarative app sync & rollbacks
lock
Network policies & pod security standards
Restricting inter-namespace traffic and egress/ingress rules
1
Automated Enterprise Pipelines
timeline
Designing enterprise CI/CD pipeline architectures
Build stages, unit tests, artifact storage & staging environments
play_circle
GitHub Actions workflow automation
Custom actions, secrets management, matrix builds & caching
settings
Jenkins pipeline as code with Jenkinsfile
Declarative vs scripted pipelines, agent runners & plugins
verified
Code quality & security scanning with SonarQube
Automated static analysis, code coverage & quality gates
swap_calls
Deployment strategies: Blue-Green & Canary
Zero-downtime production rollouts and instant rollbacks
1
Automated Infrastructure Provisioning
architecture
Terraform architecture, providers & HCL syntax
Declarative cloud provisioning on AWS
cloud_sync
State management, remote backends & state locks
S3 buckets, DynamoDB locking & team collaboration
view_module
Modular Terraform & Terragrunt patterns
DRY multi-environment architectures (dev, staging, prod)
tune
Configuration management with Ansible
Playbooks, inventory files, roles, idempotency & ad-hoc commands
auto_fix_high
AI-assisted Terraform & HCL generation
Using Gen AI to generate, refactor, and security-audit IaC code
1
AWS for DevOps Engineers
router
AWS Virtual Private Cloud (VPC) & networking
Public/private subnets, NAT gateways, route tables & security groups
cluster
Amazon Elastic Kubernetes Service (EKS)
Managed control planes, node groups & cluster autoscaler
badge
IAM security, roles, policies & OIDC integration
Least-privilege access, STS assume role & service identity
database
Cloud storage & databases (S3, RDS, DynamoDB)
High availability multi-AZ setups, backups & replication
savings
AWS Cost optimization & FinOps with AI
Spot instances, right-sizing workloads & AI cost audit prompts
1
Full-Stack Telemetry & SRE Metrics
speed
Site Reliability Engineering (SRE) principles
SLIs, SLOs, SLAs, error budgets & incident lifecycle
analytics
Metrics scraping with Prometheus & PromQL
Exporters, service monitors, alerting rules & metric types
dashboard
Visual dashboarding with Grafana
Custom dashboards, variables, alerting channels & panel plugins
receipt_long
Centralized logging with ELK Stack
Log shipping with Filebeat, indexing & log query syntax
route
Distributed tracing with OpenTelemetry & Jaeger
Tracing request latency across distributed microservices
1
AIOps & Autonomous Infrastructure
webhook
AIOps principles & LLM integration with cloud alerts
Connecting Prometheus Alertmanager webhooks to LLM endpoints
summarize
Automated root-cause analysis (RCA) with AI
Synthesizing logs, stack traces & deployment diffs for fast triage
chat
Prompt engineering for DevOps & SRE runbooks
Building interactive runbook bots that suggest remediation commands
auto_mode
Self-healing Kubernetes workflows
Automated pod restarts, scaling & config rollback triggers
military_tech
Final end-to-end production capstone deployment
Presenting a live multi-region cloud deployment to industry mentors
0%
Syllabus Progress
Not Started
Program Highlights
24 Weeks (6 Months) Duration
Intense live lectures + practical builder labs.
12+ Production-Grade Projects
Deploy autonomous multi-agent software at scale.
1:1 Mentorship Reviews
Direct feedback from leading industry AI experts.
100% Placement Support
Mock interviews, resume profiling, & direct hiring access.
Toolkit & Skills
Skills & Platforms You will Master
Master the complete DevOps, Cloud & AIOps ecosystem through industry-standard technologies and real-world infrastructure workflows. Learn how to combine Linux, Docker, Kubernetes, Terraform, AWS, and Generative AI across the entire software delivery lifecycle.
Core DevOps Course with Gen AI Syllabus Matrix
Topics & Targets you will achieve:
check_circleLinux Administration — Kernel concepts, file permissions, processes, systemd & user management
check_circleBash Scripting — Automation scripts, functions, loops, regex, cron jobs & scheduling
check_circleNetworking — SSH keys, DNS, subnetting, TCP/IP, iptables, curl, netstat & reverse proxies
check_circleShell Automation with AI — Accelerate script creation and debugging with Claude & ChatGPT
CAREER PATHWAY
More Than Classes — A Complete Roadmap to Become Job-Ready
We don’t just provide live classes — we follow a structured, career-focused learning roadmap designed to make students job-ready. From fundamental concepts and hands-on learning to real-world projects, portfolio building, resume preparation, mock interviews, and job preparation, every step is designed to build practical, industry-relevant skills. With continuous mentor support and the right learning path, students gain the skills, confidence, and experience needed to become job-ready and make their journey toward employment easier.
8 Step Pathway
Structured TimelineStep 01
Live Classes
Interactive sessions led by industry practitioners
Step 02
Weekly Assignment
Hands-on coding drills & graded milestone tasks
Step 03
Mentor Support
1:1 guidance, code reviews & doubt solving
Step 04
Real-World Project
Build production-grade applications from scratch
Step 05
Portfolio
GitHub repositories & live deployed applications
Step 06
Resume
ATS-optimized resume & professional tech profile
Step 07
Mock Interview
Technical, system design & behavioral rounds
Step 08Career Goal
Job Preparation
Direct hiring partner access & placement offers
Complete Job-Ready RoadmapSTART → FINISH
CAREER PATHWAY
Live
classes
classes
Weekly
assignment
assignment
Mentor
support
support
Real-world
project
project
Portfolio
Resume
Mock
interview
interview
Get
Hired
Hired
Real-World Projects
Featured Capstone Projects
Portfolio-Ready Projects You'll Build Inside the Bootcamp
Milestone 1
Project KUBE-SCALE
High-Availability Microservices on EKS
Architect and deploy a multi-tier microservices application on AWS EKS using Helm, NGINX Ingress, TLS certificates with Let's Encrypt, and Horizontal Pod Autoscaling.
Milestone 2
Project GITOPS-FLOW
Enterprise GitOps CI/CD with ArgoCD
Build an automated continuous delivery engine with GitHub Actions and ArgoCD that automatically builds, scans with Trivy, pushes images, and reconciles K8s clusters without human intervention.
Milestone 3
Project TERRA-CLOUD
Multi-Environment AWS Infrastructure with Terraform
Provision a production-grade multi-tier AWS architecture (VPC, private subnets, NAT, EKS, RDS PostgreSQL, and S3 backend with DynamoDB locking) using modular Terraform.
Milestone 4
Project AI-OPS-BOT
AIOps Incident Remediation & Log Triage Bot
Build a real-time SRE incident response service that consumes alerts from Prometheus Alertmanager, queries an LLM to analyze error logs, and automatically generates root-cause diagnosis reports and suggested shell patches.
Placement Support
100% Placement Support—How Skillsha Helps You Land Jobs
timelineDuring Your Course
- Week 4: Technical career roadmap & Cloud/DevOps salary trajectory planning
- Week 8: GitHub infrastructure portfolio setup with Terraform & Docker projects
- Week 14: Kubernetes architecture & AWS networking mock technical evaluation
- Week 18: Production-grade CI/CD pipeline & ArgoCD GitOps code review
- Week 22: Terminal debugging challenge & scenario-based incident response mocks
workAfter You Complete
- •Direct referral access to 500+ top tech startups, scale-ups, and MNCs
- •Exclusive DevOps interview question bank covering K8s, AWS, and Linux internals
- •Personalized 1-on-1 salary negotiation support for offers up to ₹24L+ LPA
- •Ongoing access to alumni community and weekly live Q&A sessions
- •Lifetime resume re-evaluations and senior SRE career progression guidance
handshakeOur Hiring Network
We are connected with:
- •Leading Cloud SaaS & Fintech enterprises hiring Kubernetes Engineers
- •Global IT Consultancies expanding AWS & Multi-Cloud teams
- •Product engineering firms adopting GitOps and automated delivery
- •Fast-growing AI and data platforms requiring resilient infrastructure
- •E-commerce & high-traffic platforms scaling site reliability (SRE)
- •Fortune 500 tech divisions hiring DevOps and Platform Engineers
SkillSha
Credential Verification
Certificate
of completion
This is to certifyMs.Muskan
has successfully completed24 Weeks (6 Months) of
DevOps with Gen AI
Demonstrating practical proficiency across projects, labs, and campaign builds.
on 22 Mar 2026
Aris ThornePresident, SkillSha
Be in the spotlight by getting certified!
Prove your skills, boost credibility, and get one step closer to your dream role.
Industry-Recognized Certificate
A badge trusted by top companies.
Stand Out in the Job Market
Turn your profile into a recruiter magnet.
Your Passport to Career Growth
Step into better roles and higher salaries.
Interactive Career Hub
Earning Potential & Career Projections
Explore specialized digital roles and calculate dynamic packages scaling across India's tier-1 and tier-2 tech hubs.
Select Sector Track
Immediate PlacementPROJECTION CORE v1.8
DevOps Engineer
Architects CI/CD automation pipelines, manages containerized services, automates deployments, and maintains scalable cloud infrastructure.
Key Scope Areas
Build zero-downtime GitHub Actions & GitLab CI/CD pipelines
Manage container deployments with Docker & Kubernetes
Automate infrastructure provisioning with modular Terraform
Integrate AI code assistants for rapid pipeline scripting
LOCATION CALIBRATION
Estimated Package₹12.6L - ₹21.0LPer Annum • Delhi Index
ENTRY PACKAGESSENIOR & LEAD OUTCOMES
SELECT CALIBRATION CITY
Immediate Placement
DevOps Engineer
Architects CI/CD automation pipelines, manages containerized services, automates deployments, and maintains scalable cloud infrastructure.
Build zero-downtime GitHub Actions & GitLab CI/CD pipelines
Manage container deployments with Docker & Kubernetes
Salary Range₹12.6L - ₹21.0L
Per AnnumHigh Demand
Cloud Architect / Engineer
Designs multi-region AWS cloud architectures, VPC networking, security boundaries, and enterprise cost governance.
Architect scalable, fault-tolerant AWS multi-tier topologies
Implement IAM least-privilege policies & security compliance
Salary Range₹14.7L - ₹25.2L
Per AnnumPremium Role
Site Reliability Engineer (SRE)
Ensures 99.99% system uptime, manages distributed tracing, conducts chaos engineering drills, and remediates incidents.
Define Service Level Objectives (SLOs) and error budgets
Set up Prometheus, Grafana & OpenTelemetry observability
Salary Range₹15.8L - ₹27.3L
Per AnnumHigh Demand
DevSecOps Specialist
Integrates continuous security scanning, secret management, vulnerability audits, and compliance into build pipelines.
Automate static and dynamic security scans (SAST/DAST)
Enforce container image signing and vulnerability scanning
Salary Range₹13.7L - ₹23.1L
Per AnnumImmediate Placement
Platform Engineer
Builds internal developer platforms (IDP), self-service developer tooling, and automated GitOps application delivery.
Build self-service developer portals on top of Kubernetes
Automate GitOps workflows with ArgoCD and Helm charts
Salary Range₹14.7L - ₹26.3L
Per AnnumCareer Growth Timeline
Progression Loop #1
Year 1-2: Junior/Associate DevOps Engineer•
₹10L - ₹16L LPA
Progression Loop #2
Year 3-4: Senior DevOps / Cloud Engineer•
₹18L - ₹28L LPA
Progression Loop #3
Year 5+: Principal Cloud Architect / VP of Infrastructure•
₹35L - ₹55L+ LPA
Salary Drivers & Benchmarks
- 1After 1 year: 35-50% increment common after mastering Kubernetes and Terraform
- 2After 3 years: 2.5x to 3x starting compensation with AWS certification and GitOps expertise
- 3After 5 years: Senior SREs and Principal Cloud Architects regularly command ₹35L to ₹60L+ LPA
Market Sentiment Index
Global demand for DevOps and Cloud Engineers continues to outpace supply by over 40%. Engineers skilled in Kubernetes, Infrastructure as Code, and AI automation command the highest compensation tiers in modern engineering teams.
Alumni Success
Success Stories—DevOps Course with Gen AI Course Graduates Worldwide
Vikram R. (Bengaluru)
Before: System Administrator earning ₹4.2 LPAAfter: DevOps Engineer at Cloud SaaS startup, ₹14.5 LPA
“I was stuck doing manual server maintenance for years. SkillSha's DevOps with Gen AI course gave me the exact hands-on experience with Kubernetes, Terraform, and GitHub Actions that high-paying tech companies test for. The AIOps modules were a huge differentiator during my interviews.”
Result: 245% salary hike, 100% remote job
Pooja N. (Pune)
Before: Software QA Engineer wanting to transition to CloudAfter: Site Reliability Engineer (SRE) at Fintech firm, ₹16 LPA
“The course structure is phenomenal. We built real multi-region EKS clusters and automated GitOps with ArgoCD rather than just watching basic slides. The mentors guided me through technical mock interviews that felt just like the real thing.”
Result: Transitioned from QA to SRE in 4 months
Karan S. (Hyderabad)
Before: Fresh Computer Science GraduateAfter: Associate Cloud Engineer at Multinational Tech Consultancy, ₹9.5 LPA
“As a fresher, most companies wanted experienced candidates for DevOps. Having a verifiable GitHub portfolio with production Terraform modules and CI/CD pipelines got me shortlisted immediately. SkillSha's placement team was with me every step.”
Result: Landed first Cloud engineering role straight out of college
Global Placement Statistics from Our DevOps Course with Gen AI Course
94%Placement RateWithin 60 days of completion
$2.5k-$4kStarting SalaryAverage monthly range globally
+50%Salary GrowthCommon package increase
98%Graduate SatisfactionWould recommend the course
Investment
DevOps Course with Gen AI Course Pricing—Flexible Payment Options
Transparent, Affordable Pricing
Course Tuition (24 Weeks)₹40,000
50% Special Enrollment Discount-₹20,000
Bonus Cashback (One-time payment)-₹2,000
Your Final Investment₹18,000
Currency Reference (approximate): ₹13,000 ≈ $156 USD ≈ €145 EUR. Payment accepted in multiple currencies.
Installment Plans (0% Interest)
- •3-month plan: ₹6,000/month (₹18,000 total)
- •6-month plan: ₹3,000/month (₹18,000 total)
- •0% interest EMI options available worldwide
- •No hidden platform fees or lab charges
Corporate Discounts
- •Enrolling 2+ team members? Get an extra 10% group discount
- •Corporate upskilling packages available
- •Early-bird cohort incentives
What's Included
Join Us
How to Enroll in Our DevOps Course with Gen AI Course
Step 1
Schedule a Free Counseling Call
- •Connect with a senior DevOps counselor to review your career background
- •Understand curriculum tracks, live schedule options & payment plans
- •Get personalized roadmap advice with no obligation
Step 2
Take the Technical Orientation Assessment
- •Quick 20-minute evaluation of your baseline technical skills
- •Receive tailored prep materials for Linux and Git basics
Step 3
Select Your Cohort Schedule
- •Live Interactive Track: Weekend or weekday evening live classes with mentors
- •Flexible Hybrid Track: Self-paced modules with weekly live mentor Q&A
Step 4
Complete Enrollment & Cloud Lab Setup
- •Select payment or 0% interest EMI plan
- •Receive credentials to learning portal, Discord community & AWS lab guidelines
Step 5
Begin Your DevOps Transformation
- •Attend cohort orientation
- •Kick off Milestone 1: Linux Administration & AI Shell Scripting
What You Need to Get Started
- laptop_macLaptop or computer
- wifiReliable internet connection
- edit_noteNotebook for notes
- emoji_objectsYour curiosity and commitment
Quick Facts
- •Duration: 24 Weeks (6 Months) with flexible scheduling
- •Format: Live Classes + Hands-on Cloud Workshops + Portfolio Reviews
- •Cloud Platform: AWS (Amazon Web Services) & Multi-Cloud fundamentals
- •Cost: 50% discount available (₹18,000 final cost with cashback)
- •Payment: 0% Interest EMI options worldwide
- •Placement: 100% Placement Support, 94% Success Rate
- •Certification: Industry-Recognized DevOps & AIOps Certification
- •Access: Lifetime access to course recordings, repositories & community
Frequently Asked Questions
Everything you need to know about the DevOps Course with Gen AI track.
Our program is 100% online with live interactive sessions, digital labs, and direct mentor support. This allows you to complete the entire course from the comfort of your home in Pune without any daily travel overhead, while maintaining the same standard of practical training.
Basic programming or scripting familiarity (in any language like Python, Bash, or JavaScript) and a fundamental understanding of how the web works are helpful. We start from ground-zero Linux and build step-by-step to advanced Kubernetes and AIOps.
You learn practical, production-level AI applications for DevOps: using LLMs and GitHub Copilot to generate and audit Terraform and Kubernetes manifests, configuring AIOps webhooks for automated root-cause analysis on production failures, and building intelligent runbooks that accelerate incident resolution.
Yes. Every student works on real AWS accounts and provisions actual cloud resources: VPCs, EKS clusters, load balancers, and CI/CD pipelines. You won't just watch videos—you will deploy live infrastructure.
Yes. SkillSha provides 100% placement support including resume optimization for DevOps and SRE roles, GitHub portfolio audits, technical mock interviews with senior DevOps engineers, and direct referrals to hiring partners across India and worldwide.
We offer both live interactive batches (weekday evening or weekend cohorts) and self-paced tracks with weekly doubt-clearing sessions. All live sessions are recorded and made available with lifetime access.
You will master Linux, Bash, Git, GitHub Actions, Docker, Kubernetes, Helm, ArgoCD, Jenkins, Terraform, Ansible, AWS (EKS, VPC, EC2, S3, RDS), Prometheus, Grafana, ELK Stack, and Generative AI for DevOps.
Alumni Network
SkillSha Alumni Work at the Best Companies
SkillSha graduates placed across 500+ companies worldwide.
AmazonAmazon0+
Companies
₹0L+
Avg. Package
0%
Placement Rate
Disclaimer: Results vary based on individual commitment, prior technical background, and active participation. SkillSha provides comprehensive training, portfolio mentorship, and interview preparation to maximize employment outcomes.