Generative AI For DevOps Masterclass (Hindi)
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LIVE ONLINE WORKSHOP

Generative AI For DevOps Masterclass (Hindi)

Crack DevOps Engineering Jobs in 2025 with Generative AI

Date

17th March, 2025

Time

7:00 P.M Onwards

Shubham Londhe
Sr. Staff Engineer (Platform Engineering)

Join the Leading DevOps Community

Learn Live From Shubham Londhe, a seasoned DevOps Expert and YouTuber at TrainWithShubham with 100,000+ DevOps Community

What Will You Learn From This Masterclass?

In this masterclass, you'll master AI-powered DevOps workflows using AWS AI/ML services like Bedrock and SageMaker, along with AI-assisted DevOps tools such as GitHub Copilot, CursorAI, and AIOps platforms. You'll work on real-world projects integrating AI into CI/CD pipelines, automated monitoring, and cloud infrastructure management. With expert guidance, you'll upskill in AI-driven DevOps and boost your chances of landing high-paying AI-focused DevOps roles.

Top 3 Strategies to Land a High-Paying DevOps Job

Certify your skills by earning AWS AI & DevOps certifications and showcasing them on LinkedIn and your resume. Build AI-powered DevOps projects that automate cloud operations, enhance security, and optimize CI/CD pipelines. Network with industry leaders, engage with AI & DevOps experts, and share insights to establish credibility in the field.

Why Join the Generative AI DevOps Masterclass?

Discover how AI is transforming DevOps automation, incident response, and cloud management. Get career transition support tailored for AI-powered DevOps and SRE roles. Future-proof your career by mastering AI tools before they become industry standards.

3 Month Roadmap to Becoming an AI - Driven DevOps Engineer

Start with the foundations by learning DevOps basics, AWS services, Git, and Docker, along with CI/CD tools like Jenkins. In the second month, advance your skills with Kubernetes (EKS), Terraform, and AWS CloudWatch while working on AI-integrated projects. The final month focuses on real-world AI-DevOps projects, optimizing your resume, LinkedIn, and GitHub portfolio to secure job opportunities.

How Much Can You Earn as an AI Powered DevOps Engineer?

AI Powered DevOps Engineers command impressive salaries, with earnings ranging from ₹15-30 LPA in India, $120,000-$180,000 annually in the US, and £70,000-£120,000 annually in the UK. With the right skills and certifications, you can significantly increase your earning potential in this high-demand field.

How to Transition Your IT Experience to DevOps?

Utilize your existing IT and DevOps experience by integrating AI tools into your workflow. Learn AI for DevOps with AWS Bedrock, SageMaker, AIOps, and AI-driven automation. Gain hands-on experience by working on AI-enhanced CI/CD, predictive monitoring, and intelligent cloud orchestration. Showcase your expertise by contributing AI-powered automation scripts and workflows to GitHub, positioning yourself as a skilled AI-DevOps professional.

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Syllabus

Tools you will learn

Curriculam

Generative AI For DevOps Masterclass (Hindi)

01
Introduction to DevOps
02
Linux For DevOps
03
Source Code Management
04
Package Management
05
CI/CD
06
Container Orchestration
07
Cloud Engineering
08
Infrastructure As Code
09
Monitoring
10
Job Assistance

Meet Your Mentor

Hello Dosto,

This is Shubham Londhe

Senior Staff Engineer in Platform engineering Team (Remote)

8+ Years of Industry Experience

AWS & DevOps Specialist with over 100,000 learners on Youtube and 70,000+ on Linkedin

Helped 1000+ learners get placed and many more in pipeline

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Have Questions?

FAQs

Who is this program for, and can I join if I don't have prior DevOps experience?
This program is designed for:
- Freshers aspiring to enter the IT field.
- Experienced IT professionals transitioning to DevOps.
- Enthusiasts with no prior DevOps experience but a keen interest in cloud computing and automation.
What are the key tools and skills covered in this program?
The program covers:
- AWS Services: EC2, S3, Lambda, EKS, IAM, CloudFormation.
- DevOps Tools: Git, Docker, Kubernetes, Jenkins, Terraform, Prometheus, Grafana.
- Core Practices: CI/CD pipelines, Infrastructure as Code, monitoring, and cloud security.
How does the program prepare me for interviews and job opportunities?
- Mock interviews with real-world scenarios.
- Comprehensive resume-building sessions.
- Guidance on showcasing projects on GitHub and LinkedIn.
- Dedicated Q&A sessions with industry experts.
How much time will it take to transition into an AWS DevOps Engineering role?
With consistent effort, you can transition in 3-5 months by following the roadmap provided in this program. Dedication to learning and project practice is key to success.
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