Joint certification · Vishlesan i-Hub, IIT PatnaBuild and run production pipelines with Docker, Kubernetes, Terraform and CI/CD, then automate them with AIOps. Live classes, real enterprise projects.
From global tech leaders to fast-growing startups.
DevOps ships every app. AI now makes each step faster.
DevOpsSaves every change safely in Git
+ AIReviews the code and flags risky changes
DevOpsPackages the app into containers
+ AIPredicts which builds will fail
DevOpsRuns every test automatically
+ AIPicks the tests that matter most
DevOpsShips to the cloud with zero downtime
+ AIRolls back a bad release on its own
DevOpsWatches the live app around the clock
+ AISpots problems before users notice
Companies still need DevOps to ship every app. Now they want engineers who can run AI inside it too. This program teaches both.
One number, one promise and the proof, for each.
Built with the companies that hire you.
Measurable outcomes, not promises.
Master the stack you'll ship with.
Learn from FAANG-grade engineers.
Walk in certified, walk out hired.
AWS
AzureKubernetesReady to ship like the top 5%?
Join 20,000+ engineers in the next cohort.
Before Skillfyme on the left, where they work now on the right.
20,000+engineers trained
200+hiring partners
150%avg. salary hike
AtulSenior Consultant
VaibhavSoftware Engineer
+80%
ManjunathaAssociate Consultant
PradeepNow at WebReinvent
+100%Pick a role. See a real workday.
Automate deployment pipelines using CI/CD tools like Jenkins, GitLab, etc.
Collaborate with developers to ensure seamless code integration.
Monitor infrastructure and application performance.
Automate infrastructure using tools like Ansible, Terraform.
Resolve production issues and manage cloud resources.
Enter your salary. See what each role pays.
At ₹6L, 8 of 8 roles pay more on average, up to ₹50L as a DevOps Architect.
DevOps Architect
7,000+ openings
₹50L
+₹44L on today
Sr. DevOps Cloud Engineer
5,000+ openings
₹35L
+₹29L on today
DevOps Engineer
12,000+ openings
₹30L
+₹24L on today
SRE
10,000+ openings
₹25L
+₹19L on today
Security Engineer (DevSecOps)
10,000+ openings
₹25L
+₹19L on today
Integration Specialist
9,000+ openings
₹20L
+₹14L on today
Infrastructure Engineer
15,000+ openings
₹18L
+₹12L on today
Platform Engineer
15,000+ openings · Your next step
₹15L
+₹9L on today
Platform Engineer
Builds the internal platform developers ship on: Kubernetes, golden paths and self-service tooling.
Typical annual salaries and openings by role, from market benchmarks. Actual offers depend on your experience, skills and interviews.
From DevOps basics to an AI-driven industry project.
After this module: Set up Git workflows, infrastructure as code and CI/CD pipelines in Jenkins, GitLab and GitHub Actions.
Your journey: 1 of 7 modules done after this one
Every topic in this module
Tools you will use in this module
Tools: Git, GitHub, Jenkins, GitLab CI/CD, GitHub Actions, Terraform.
Tools: Docker, Kubernetes, Istio, Tekton, Flux, Argo CD.
Tools: AWS, Azure, Google Cloud, Kubernetes.
Tools: Terraform, Ansible, AWS, Azure.
Tools: Prometheus, Grafana, ELK Stack, Jaeger.
Tools: TensorFlow, PyTorch, OpenAI, Splunk, ELK Stack, Kubernetes, Google Cloud.
Develop a DevSecOps pipeline that integrates AI-driven real-time threat detection and automated security responses. Implement continuous security checks and compliance validations throughout the CI/CD process.
Tools: Jenkins, Docker, Kubernetes, SonarQube, TensorFlow, ELK Stack, Prometheus, Grafana, Azure Security Center.
34 tools, from first commit to AI-driven scale-up. Click any stage.
Stage 01 of 8
Version control and collaboration on Linux.
Nine projects, beginner to enterprise. Pick one to watch its pipeline run.
Beginner
Intermediate
Advanced
Beginner project · 01 of 9Inspired by Etsy
Etsy popularised continuous deployment, shipping code to production many times a day.
A full CI/CD setup for a blog platform (WordPress or Node.js). Covers source control, CI/CD, containerization, and deployment in a controlled environment.
Tools you will use
Shipped. This goes in your portfolio.
Projects are modelled on practices these companies have described publicly. The companies are not partners of this program.
Six steps. Your placement file fills in with each one.
Real cohorts, real numbers: who joins and where they get hired.
Distribution of students by professional experience.
Companies actively hiring from our DevOps graduate pool.
Companies actively hiring from our DevOps graduate pool.
Pick a theme to see it in 53 learners’ own words.
I am currently enrolled in the DevOps with AI course at Skillfyme, and it has been an excellent experience so far. The instructor is very knowledgeable and explains every concept in detail with a strong practical approach, which makes even complex topics easy to understand.
I joined Skillfyme's DevOps with AI Project program and had a great experience. The course is well-structured with hands-on projects, making it easy to understand real-world applications. Trainers are knowledgeable, supportive, and always ready to help.
Doing 'Devops with AI' from skillfyme. Course content is very good. Trainer is well educated and has excellent knowledge on devops tools. The practical approach really helps in understanding how things work in real production environments.
I have taken DevOps Master course with Skillfyme. I can confirm that the trainer, Jaiprakash Sir, possesses good experience and in-depth knowledge. Additionally, the Skillfyme support team has been very good. Great institute to upskill.
I took Skillfyme's DevOps with AI course and had a great experience. The teaching was clear, and my mentor was super helpful and patient with doubts. If you're thinking about joining, just go for it. The mentorship is totally worth it.
I have completed a course (Devops Master) with skillfyme and I must say it exceeded my expectations, support team is very supportive, trainer has great knowledge explained well, with hands-on experience with complex setup.
I had a great learning experience with SkillfyMe's DevOps training program. The trainer was excellent—highly knowledgeable, approachable, and very effective in explaining both foundational and advanced concepts.
Currently taking DevOps with AI course. Instructor teaches things very nicely and provides valuable notes. They also have assignments and quizzes, Interview Readiness Toolkit. Good course, would recommend it.
I had a great learning experience at skillfyme. I enrolled in the DevOps program, and it turned out to be extremely helpful for my career growth. The instructors are highly knowledgeable and very supportive.
From automation testing to DevOpsLearner story
From 15+ years in IT to TCSLearner story
From learner to achiever: DevOps with AILearner story
15 years in IT, still chose DevOpsVineet Vijay
From fresher to first jobSurya
Non-tech to DevOpsRahul Yadav
A DevOps course even experts trustMaroof Siddiqui
From testing to tech excellenceMahesh
Beyond DevOps: pipelines and agentic AILearner story
How DevOps with AI transformed my careerLearner reviews
DevOps with AI Master Program reviewLearner reviewWho stands behind your certificate.
IIT Patna at a glanceRecognises Vishlesan i-Hub as an NIC (National Innovation Centre), part of India's national AI mission.
Hosted byOne of India's top engineering institutes, with incubators and innovation hubs that bridge academia and industry.
Research hubAdvances AI in speech, video and text analytics for health, education and security.
What you receiveIssued jointly by Skillfyme and Vishlesan i-Hub, carrying the credibility of an IIT institution.
Finish the program and its projects, and both certificates are yours.
Your NameDevOps with AI Masters Program
Your NameEight things to check before you pick a program.
| IncludedPartlyNot available | SkillfymeDevOps with AI Masterswith Vishlesan i-Hub, IIT Patna | Typical courseOnline DevOps programWhat most programs offer |
|---|---|---|
| What you learn | ||
| CI/CD curriculum | Included: Argo CD, Flux and agentic AI in the pipeline | Partly: Basic Jenkins pipeline |
| Projects | Included: Enterprise, industry-level live projects | Partly: Academic projects |
| Case studies | Included: 100+ real case studies | Partly: Around 10 |
| Way of teaching | Included: Case-study led: technical and problem-solving skills | Partly: Concept-led theory |
| Who teaches and supports you | ||
| Faculty | Included: Industry experts with 20+ years in IT | Partly: Trained faculty |
| Cloud lab | Included: Dedicated cloud lab access | Partly: Your own AWS free-tier account |
| Alumni network | Included: Every enrolled Skillfyme learner | Not available: Not available |
| Placement | Included: 100% job assistance and interview assurance | Partly: Job assistance only |
3 or 6 monthslive, instructor-led
Comparing us with a course you are already considering? An advisor can go through it with you, row by row.
“Typical course” describes what is common across online DevOps programs, not any one provider. Individual programs vary, so check the details of any course you are considering.
Same curriculum and mentors. Only the schedule changes.
| Compare the two schedules, then reserve the one that suits you. | Most popularWeekday batchFinish faster, two hours a day | FlexibleWeekend batchLearn alongside a full-time job |
|---|---|---|
| Class days | Mon – Fri | Sat & Sun |
| Class time | 7:00 – 9:00 AMIST | 8:00 – 11:00 PMIST |
| Program length | 3 months | 6 months |
| Batch size | 32 learners | 25 learners |
| Next batch | To be announced | To be announced |
| Best for |
|
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| Also included |
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Whichever you pick, you get the same program
Live instruction
Instructor-led classes on a schedule that fits your week.
Continuous evaluation
Real-time feedback and regular assessments.
24/7 support
Get unstuck any time through the learner support community.
Applied learning
Hands-on practice in cloud labs.
Real-world projects
Industry projects that mirror professional challenges.
Job assistance
Personalised career support and job opportunities.
Pay once, or in no-cost monthly EMIs. No hidden costs.
Pay in full
₹45,000
₹64,000You save ₹19,000
One payment. No hidden costs.
Pay monthly
₹3,750/month
for 12 months · 0% interest
No-cost EMI on credit and debit cards. No processing fee.
and many more banksReserve your seat
₹45,000 or ₹3,750/mo
Start with the quick answers, or search any question.
This masters in DevOps program covers seven modules, starting with DevOps and Linux fundamentals and ending with AI-driven automation and an industry-grade capstone project, taught in live instructor-led sessions and reinforced with hands-on lab work on cloud infrastructure. The modules are: DevOps Certification (Git, GitHub, Jenkins, GitLab CI/CD); Docker & Kubernetes Certification (Docker, Kubernetes, Istio, Tekton); DevOps Cloud Certification (AWS, Azure, Google Cloud, Kubernetes); Terraform Certification (Terraform, Ansible, AWS, Azure); Monitoring, Logging & Observability (Prometheus, Grafana, ELK Stack, Jaeger); DevOps with AI Certification (TensorFlow, PyTorch, OpenAI, Splunk); Industry-Grade Project (Jenkins, Docker, Kubernetes, SonarQube).
Basic knowledge of Linux and shell scripting is the only prerequisite, and both are covered from first principles in the live sessions.
The program suits software engineers, system administrators, cloud engineers, QA engineers moving into automation, and final-year engineering students targeting a DevOps role. No prior Kubernetes, Terraform or machine learning experience is assumed. Learners who already work in operations typically move faster through the first two modules and spend more time on the AI and orchestration work.
AI is applied across the delivery lifecycle rather than taught as a separate subject.
The curriculum uses agentic AI inside CI/CD pipelines with Argo CD and Flux, applies intelligent monitoring to detect anomalies before they become incidents, and automates routine operational response. This is the practical difference between a conventional DevOps course built around Jenkins pipelines and an AI DevOps certification: the tooling assumes AI-assisted operations as the default working method.
The program runs for 3 months in the weekday batch and 6 months in the weekend batch, and both deliver over 200 hours of live instructor-led sessions.
The weekday batch runs Monday to Friday, 7:00 AM to 9:00 AM; the weekend batch runs Saturday and Sunday, 8:00 PM to 11:00 PM. Both batches follow the same curriculum and the same live instructor-led format — the weekend track spreads the identical content over a longer period for working professionals. The programme fee is Rs 45,000, reduced from a list price of Rs 64,000. It can be paid in twelve monthly instalments of about Rs 3,750 under the EMI option. Enrolment can be cancelled within three days of purchase under the refund policy. That is Rs 19,000 off the list price for a live, mentor-led course carrying a joint Vishlesan i-Hub, IIT Patna certification — still below the Rs 69,999 charged for comparable masters-level DevOps programmes elsewhere in the Indian market.
No.
An MS in DevOps is a university degree; this is a professional certification program. It does not award an MS in DevOps, an MSc or a UGC-recognised post graduate qualification, and it is not a substitute for one. What it does provide is a joint certification with Vishlesan i-Hub, IIT Patna, alongside industry certifications, built around production tooling rather than academic coursework. Engineers who want role-ready skills and a credential tied to an IIT typically choose this route; those who specifically need a degree for immigration or academic progression should pursue a formal MS programme instead.
A post graduate program is awarded by a university and usually runs one to two years with academic assessment.
This DevOps masters program runs 3 to 6 months, is taught by practising engineers, and is assessed through real project work on live infrastructure. The trade-off is scope against speed. A PG program covers broader computer science theory; this program goes deeper on the specific toolchain — Docker, Kubernetes, Terraform, CI/CD and AIOps — that DevOps job descriptions actually list.
It is a DevOps master program, not a short tool course.
A short DevOps course usually covers one or two tools over a few weeks; this DevOps master course runs 3 months in the weekday batch or 6 months in the weekend batch, with over 200 hours of live instructor-led sessions across seven modules, from DevOps and Linux fundamentals through Docker, Kubernetes, Terraform, CI/CD, AWS and AI for DevOps to an industry-grade capstone project. The aim is to master DevOps as a working practice: each module ends in hands-on lab work on cloud infrastructure, and the modules build on each other into complete delivery pipelines. It is a professional masters-level certification programme, not a university master's degree.
A DevOps with AI course teaches the standard DevOps toolchain and then applies AI to the pipelines you build with it.
In this DevOps and AI course you build CI/CD pipelines with Jenkins and GitHub Actions, containerise applications with Docker, deploy them to Kubernetes, and provision infrastructure with Terraform on AWS. The AI work sits on top of those pipelines: generating infrastructure-as-code, predicting build failures, triaging incidents from logs, and agentic AI in GitOps delivery with Argo CD and Flux. That is the difference between a DevOps AI course and a conventional DevOps course with an AI chapter added at the end.
Yes.
The DevOps engineer masters program assumes only basic Linux and shell scripting, and both are taught from first principles in class, so freshers and final-year engineering students can start from zero. Engineers with 0-3 years in development, testing, system administration or IT support are the most common learners: they usually move quickly through the Linux and Git modules and spend more time on Kubernetes, Terraform and the AI DevOps work. Engineers with more experience use the programme to add AIOps and platform skills to an existing DevOps role.
Yes on both.
AWS is the primary hands-on cloud in this AI DevOps program: a full module covers AWS compute, networking, storage and identity for production workloads, and the Terraform, Kubernetes and CI/CD labs run against AWS with cloud lab access. On completion, learners receive an AI DevOps certification issued jointly by Skillfyme and Vishlesan i-Hub, IIT Patna. That is a professional programme certificate. It is separate from AWS's own certification exams, which are booked and paid for directly with AWS.
Choose a masters in DevOps programme if you want to move into a DevOps role and need the whole toolchain end to end.
Choose a single certification course if you already work in DevOps and only need one tool or one vendor exam. A masters in DevOps such as this one covers Linux, Git, Docker, Kubernetes, Terraform, CI/CD, AWS and AIOps in sequence, with projects that join them together, over 3 or 6 months. A single certification course is shorter and cheaper, but it assumes you already have the surrounding skills. Fees here are Rs 45,000 for the full programme, payable in twelve monthly instalments of about Rs 3,750.
The program is delivered in collaboration with Vishlesan i-Hub Foundation, the Technology Innovation Hub at IIT Patna, established under the National Mission on Interdisciplinary Cyber-Physical Systems.
Graduates receive a joint certification carrying the Vishlesan i-Hub, IIT Patna association rather than a training-provider certificate alone. Vishlesan i-Hub is a Section 8 non-profit incorporated in 2020 at the IIT Patna campus, Bihta, Patna, working on speech, video and text analytics. This is the clearest difference between this program and the independent DevOps masters certifications available elsewhere in the market, none of which carry an IIT affiliation.
The best DevOps course online for you depends on your starting skills, work schedule and target role.
When choosing the best DevOps course in India, compare a sample class, lab access, mentor feedback on projects, the certificate issuer, written placement-support terms and the total fee. Ask to see what you will build: a CI/CD pipeline, containerised application, Kubernetes deployment and Terraform infrastructure. Skillfyme teaches Linux, Git, Docker, Kubernetes, Terraform, Jenkins, AWS and AI-assisted workflows through live classes and projects. The programme runs 3 months on weekdays or 6 months on weekends, with joint Vishlesan i-Hub, IIT Patna certification and a current fee of Rs 45,000. Compare these details with your needs; no single course is best for every learner.
Yes — this is a fully online DevOps course.
Classes are live and instructor-led over video, taught from Bangalore and attended across India, so learners in Hyderabad, Delhi, Chennai, Pune and Mumbai join the same cohort rather than a regional batch. There is no classroom to travel to and no separate city pricing. Every session is recorded, so a missed class can be caught up, and cloud lab access means the hands-on work happens on real infrastructure rather than in a simulator. The weekday batch runs 3 months and the weekend batch 6 months, both with over 200 hours of live sessions.
Certification is issued jointly with Vishlesan i-Hub, the Technology Innovation Hub at IIT Patna.
Vishlesan i-Hub is a Section 8 non-profit incorporated in 2020 on the IIT Patna campus at Bihta, working on speech, video and text analytics. That joint certification is the clearest difference between this programme and the independent DevOps certifications sold elsewhere, none of which carry an IIT affiliation. To be precise about what it is and is not: this is a professional certification programme run with an IIT innovation hub, not an IIT degree, and not an MS or MSc in DevOps.
Both, with AWS as the primary hands-on platform.
The curriculum covers the basics of AWS, Azure and GCP, then goes deep on AWS compute, storage, networking and database services with cloud lab access on an AWS free-tier account. Azure is covered through virtual machines, Azure Kubernetes Service (AKS) and Azure Functions, and Terraform is taught against both AWS and Azure for infrastructure provisioning. The reason for covering more than one cloud is practical: the pipeline skills — Docker, Kubernetes, Terraform, Jenkins, CI/CD — transfer between providers, and most teams run on more than one.
What changed for 2026 is AI.
A DevOps course that only teaches Linux, Docker, Kubernetes, Terraform and Jenkins now teaches the 2019 job. The 2026 Edition of this programme applies AI to working pipelines: generating infrastructure-as-code, predicting build failures and triaging incidents from logs, which is the AIOps work teams are actually hiring for. Judge any 2026 DevOps course on whether AI is a real module or a marketing line, whether classes are live or pre-recorded, whether you build on real cloud infrastructure, who issues the certificate, and the total fee including EMI. This programme is live instructor-led, certified jointly with Vishlesan i-Hub at IIT Patna, and priced at Rs 45,000 against a programme fee of Rs 64,000.
The DevOps AI Masters Program offered by Skillfyme is a comprehensive and advanced training program designed to equip learners with skills in both DevOps and AI.
It stands out because of live projects, 100% live instructor-led classes, advanced curriculum, cloud lab access, and placement assistance.
Basic knowledge of Linux and Shell Scripting is required, but these are also covered in live sessions.
The program lasts 3 months for weekday batches and 6 months for weekend batches.
Yes.
This online DevOps course for working professionals offers a 3-month weekday track, Monday to Friday from 7:00 AM to 9:00 AM IST, and a 6-month weekend track, Saturday and Sunday from 8:00 PM to 11:00 PM IST. Both tracks cover the same curriculum with over 200 hours of live instructor-led sessions. Recordings help you catch up on missed classes. Allow additional time for labs and project work outside class; check the schedule against your shifts and on-call duties before enrolling. Developers, system administrators, QA and IT support professionals can use the programme to prepare for DevOps roles while continuing to work.
Yes, you can cancel within 3 days of purchase.
Nine hands-on projects across three tiers, ending in three advanced capstones built on live cloud infrastructure.
The beginner tier covers an end-to-end blog platform with automated CI/CD, a multi-service application with Docker Compose, and hybrid infrastructure automation with Terraform and Ansible. The intermediate tier adds a serverless e-commerce platform, a Kubernetes microservices deployment on AWS EKS, and centralised logging and monitoring with the ELK stack. The three advanced capstones are the AI-powered CI/CD pipeline with predictive build optimisation, GitOps-driven multi-cloud deployment with Argo CD and Terraform, and a self-healing scalable application platform. Each is assessed by a mentor and is portfolio-ready, which is what interviewers ask to see rather than a certificate alone.
Yes, it is suitable for freshers.
We start from basics and gradually move to advanced topics.
DevOps with AI integrates artificial intelligence into the DevOps lifecycle to enhance automation, efficiency, and accuracy.
AI tools automate repetitive tasks, improve code quality, and optimize application performance.
AI automates testing, code reviews, and security assessments.
It identifies bugs and vulnerabilities, predicts potential issues, and automates responses—reducing MTTR and improving overall software quality.
Faster and more reliable deployments, improved efficiency, enhanced security, reduced costs, and predictive analytics for better decision-making and resource management.
Popular AI tools include Datadog (monitoring), Snyk (security), CodeGuru (code reviews), and Sysdig (cloud security).
Challenges include a steep learning curve, need for skilled personnel, resistance to change, accuracy of AI outputs, and complexity of integration into workflows.
No.
AI automates many tasks and boosts efficiency, but human expertise is needed for problem-solving, decision-making, and creativity.
AI improves CI/CD by automating builds, testing, and deployments, ensuring code quality, monitoring deployments, and rolling back changes if needed.
The future is promising with increasing adoption of AI in testing, security, and deployment—leading to more efficient and reliable software operations.
Almost every company globally hires DevOps engineers.
Examples: Amazon, Google, Microsoft, IBM, Meta, Apple, Oracle, Netflix, LinkedIn, Adobe, etc.
Absolutely.
Skillfyme helps highlight transferable skills and assists in transitioning to DevOps.
Very important.
It improves recruiter visibility and acts as an online resume showcasing your brand and network.
Yes.
Skillfyme's DevOps with AI Masters Program is a DevOps course online with certificate issued jointly with Vishlesan i-Hub, IIT Patna after successful completion of the programme and its project requirements. The weekday track runs 3 months and the weekend track 6 months. This is a professional programme certificate, not an IIT degree or an MS or MSc. It should not be confused with a separate AWS, Microsoft or Kubernetes vendor certification exam; confirm any exam fees and vouchers before enrolling.
Placement assistance includes resume building, LinkedIn profile optimisation, mock interviews, feedback and referrals to the hiring partner network.
The published terms provide placement assistance for up to 1.5 years after completion. Learners still need to complete the training, prepare for interviews and meet employers' hiring requirements. Assistance and interview opportunities do not promise a job, a salary or a placement date. Review the Certification & Placement Assistance section of the Terms & Conditions before enrolling.
The programme includes placement assistance; it does not offer an unconditional job guarantee.
Under Skillfyme's published terms, placement guarantees, if offered for specific programme variants, require a separate written agreement and eligibility criteria. When comparing the best DevOps course with placement guarantee or the best DevOps course online with placement guarantee, ask for that agreement before paying. Check the qualifying roles, attendance and assessment requirements, application obligations, time limits, exclusions and any remedy if placement does not happen. A claim of 100% placement assistance describes support, not the percentage of learners hired. Compare the written conditions as carefully as the syllabus and fee.
Tailored mock interviews aligned with job descriptions, covering both technical and behavioral questions.
Skillfyme analyzes the JD and prepares relevant questions to ensure candidates are interview-ready.
Initial assessment → Resume building → LinkedIn optimisation → Mock interviews → Matching with relevant job opportunities → Referrals and interview preparation.
Employers make the hiring decision. Any programme-specific interview assurance or placement guarantee is governed by its written agreement and eligibility criteria.
It depends on readiness and market conditions, but Skillfyme support expedites the process.
From startups to large enterprises across industries, including tech, finance, and healthcare.
Yes, detailed feedback is provided to highlight strengths and areas of improvement.
Still have a question?
Taught live from Bangalore. One cohort, one price, across India.
Each city page covers its local DevOps hiring market: who is recruiting, which roles appear most, and what interviews weigh.
This is the road. The only step left for you is the first one.
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