Demo Session | DevSecOps with AWS - AiOps Assisted - Batch 92S | Telugu

🚀 DevOps is changing. AI is changing even faster. But what does this actually mean for your DevOps career? In this DevSecOps with AWS + AIOps Demo Session, Sivakumar explains how DevOps is evolving with AI, what skills engineers need to build, and why simply learning individual tools is no longer enough. This session goes beyond a typical course introduction. It covers the complete DevOps learning approach, real-time projects, automation, AWS, Terraform, Ansible, Jenkins, Docker, Kubernetes, DevSecOps, AIOps, interview preparation, career growth, and the importance of integrating all these technologies together. 🤖 Will AI Replace DevOps Engineers? One of the biggest questions discussed in this session: If AI can write scripts, create configurations and automate tasks, what happens to DevOps engineers? The discussion explains why understanding infrastructure, cloud, security, automation, production environments and system architecture becomes even more important as AI adoption grows. ⏱️ Chapters 00:00 – Welcome to the DevSecOps + AIOps Demo 02:00 – Why You Should Spend Time Understanding DevOps 03:20 – IT Career Opportunities for Different Backgrounds 05:30 – Which Technologies Will AI Actually Impact? 🤖 06:45 – Cybersecurity, SRE & DevOps in the AI Era 08:00 – Will AI Replace DevOps Engineers? 09:30 – Why AI Still Needs Cloud, Infrastructure & DevOps 10:30 – AI Agents, Automation & Security Concerns 12:00 – Skills + Mindset: What Companies Really Need 14:00 – Career Growth, Packages & Choosing the Right Company 16:00 – Layoffs, Job Security & Building Long-Term Skills 18:00 – What You Actually Learn in This Course 20:00 – Real-Time Projects & Practical Learning 22:00 – From Architecture to Complete Project Implementation 24:00 – Why Tool-by-Tool Learning Is Not Enough 26:00 – Building a Complete DevOps Project 28:00 – Shell Scripting → Ansible Automation 29:00 – Terraform & Infrastructure Automation 30:00 – Docker & Containerization Explained 31:00 – Learning Together Through Real Projects 33:00 – How Experience + Skills Accelerate Your Career 35:00 – Student Support & Learning Community 37:00 – Jenkins → Argo CD & Modern CI/CD 39:00 – DevSecOps & Security Scanning 40:00 – Course Schedule & Daily Learning Plan 41:00 – How to Get Maximum Value From the Course 42:00 – QA Sessions, Recordings & Doubt Clarification 43:00 – Notes, Documentation & Using AI for Learning 45:00 – Practical Problems & Production-Level Thinking 49:00 – Real Interview Questions vs Random Online Questions 51:00 – Slack Community & Student Support 53:00 – Building Your Professional Profile 54:00 – Resume & Profile Guidance 57:00 – Job Opportunities & Student Support 58:00 – Job Portal & Application Opportunities 60:00 – Employee Mindset & Career Growth 62:00 – Career Responsibilities & Professional Growth 64:00 – Consistency: The Key to DevOps Career Growth 67:00 – Interview Preparation & Tracking Your Progress 69:00 – Mock Interviews & Interview Practice 71:00 – Long-Term Career Growth & Skill Development 73:00 – Student Career Discussions & Q&A 76:00 – Praveen's Career Transition Discussion 80:00 – From Testing/Support Background to DevOps 84:00 – Turning Your Existing Experience Into DevOps Skills 86:00 – Manager Support & Building Real Project Experience 88:00 – Satya's DevOps Learning Journey 90:00 – 20 Years of IT Experience: Is DevOps Still Possible? 92:00 – Remote Jobs, Leadership & Career Growth 94:00 – Why Experienced Professionals Must Keep Upgrading 96:00 – Non-IT Background to DevOps Career Transition 98:00 – AWS + DevOps: How the Skills Connect 100:00 – Why Integration Is the Heart of DevOps 103:00 – Kubernetes & OpenShift: What's the Difference? 106:00 – Final Questions & Career Guidance 💻 Real-Time Project-Based Learning The course focuses on taking concepts from fundamentals → automation → cloud → containers → Kubernetes → CI/CD → DevSecOps → production-oriented workflows. Instead of simply watching tool demonstrations, the objective is to understand why a technology is used, where it fits and how it connects with the rest of the environment. 🎯 Who Should Attend? This session is useful for: 👨‍🎓 Freshers & College Students 💼 Working IT Professionals 🔧 System / Linux Administrators ☁️ Cloud Engineers 🚀 DevOps Engineers 🛡️ DevSecOps Engineers 📈 Production / Support Engineers 🔄 Professionals planning a career transition into DevOps 🌱 Anyone looking to upgrade their DevOps skills with AI #DevOps #DevSecOps #AIOps #AWS #DevOpsCareer #Kubernetes #Terraform #Docker #Jenkins #CloudComputing #DevOpsEngineer #DevOpsTelugu #JoinDevOps #SRE #AI