Production-Grade Live Project Series
13th July - 7th August 2026 · 7:30 AM IST & 7:30 PM IST · 4 Weeks : Monday to Friday
About this session
Most DevOps courses teach you tools. We teach you to ship. Over 4 weeks in July 2026, you build 3 production-grade projects from scratch live, hands-on, with instructors who are still deploying real systems at top companies today. No slides. No theory-only sessions. Every project goes straight to your portfolio. Prashanth (16 yrs) and Manoj (10 yrs) guide you through every command, every pipeline, and every deployment exactly the way it's done in production engineering teams. 5,000+ engineers have already learned with Quantum Vector. This July, you build what most engineers only read about.
Why this matters
DevOps and AI engineering roles are the fastest-growing and highest-paying positions in tech right now. But hiring managers don't want candidates who watched tutorials they want engineers who have shipped real systems. This cohort closes that gap. You leave with 3 deployed projects, hands-on experience with 20+ tools that appear on every DevOps job description, and the ability to walk an interviewer through infrastructure you actually built not a course project, not a sandbox a real deployed system on live cloud infrastructure. One enrollment. Four weeks. Three projects. That is your edge in every interview room.
What you'll learn
3 real projects deployed on live cloud infrastructure
Kubernetes, Terraform, Jenkins, ArgoCD, n8n & Google AI all in one cohort
AWS Cost Automation serverless Lambda pipeline you own and can demo
AI RAG Chatbot natural language to SQL using LangChain & FastAPI
Live every Mon–Fri | Project 1: 7:30 AM IST | Projects 2 & 3: 7:30 PM IST | Miss a session? No problem - all recordings included forever
Interview prep mapped to every project architecture Q&A included after each project
Resume bullet points crafted around each project with measurable outcomes
Completion certificate for LinkedIn and resume
Lifetime access to 5,000+ Quantum Vector engineer community
Taught by Prashanth (16 yrs) & Manoj (10 yrs) 26+ combined years of production experience
Webinar agenda
Project 1: Ship a Logistics App - Build, Deploy & Monitor on K8s
Date: 13th – 24th July 2026 | Mon–Fri | 7:30 AM IST - 9:00 AM IST | 10 Sessions What you build: Build and ship a real Logistics Application on Kubernetes provisioning cloud infrastructure with Terraform, securing CI/CD pipelines with Jenkins & Trivy, deploying microservices with Helm & ArgoCD, and monitoring every service with Prometheus, Grafana & Datadog. Nothing pre-built. Everything production-grade. Day 1: Git architecture, polyrepo setup, Docker Compose local stack of the logistics app. Day 2: Terraform & OpenTofu provision multi-AZ AWS VPC, EKS nodes, and remote state with S3 + DynamoDB. Day 3: Ansible playbooks & roles harden nodes, configure networking, inject secrets with Ansible Vault. Day 4: Jenkins Master-Agent CI/CD pipeline Maven/npm builds, webhook triggers, parameterised Jenkinsfile. Day 5: DevSecOps Trivy container scanning, SonarQube quality gates, artifact push to Nexus & Amazon ECR. Day 6: Kubernetes deployment Helm charts for all logistics services, Ingress with SSL/TLS, HPA autoscaling. Day 7: Persistent storage PV/PVC for database layer, StatefulSets, data durability on EKS. Day 8: GitOps with ArgoCD sync loops, automated rolling deployments on every git push, instant rollback. Day 9: Observability Prometheus scraping, Grafana dashboards, Datadog APM, OpenTelemetry tracing, n8n & Google AI. Day 10: SRE & disaster recovery Velero backups, restore testing, zero-downtime verification + Interview Q&A Tools: Terraform · OpenTofu · Ansible · Packer · Jenkins · GitHub · SonarQube · Trivy · Nexus · Amazon ECR · Docker · Kubernetes · Helm · ArgoCD · Prometheus · Grafana · Datadog · OpenTelemetry · Velero · n8n · Google AI
Project 2: AWS Cost Optimization Automation
Date: 27th July – 31st July 2026 | Mon–Fri | 7:30 PM IST - 9:00 PM IST | 5 Sessions What you build: Unused EBS volumes silently drain cloud budgets across every AWS account. You build the automated cleanup system that fixes this permanently. A Python Lambda function triggered daily by EventBridge scans all EBS volumes, validates their state, and safely deletes orphaned resources with full CloudWatch logging for every action taken. Zero manual effort. Zero risk of accidental deletion. Complete cost governance running 24/7 in your own AWS account. Session breakdown: → Day 1: AWS cost problem deep-dive identify orphaned resources, understand EBS volume lifecycle, set up IAM least-privilege execution role → Day 2: Python + Boto3 write the core Lambda function to scan all EBS volumes and filter by 'available' state → Day 3: Pre-deletion validation logic, structured JSON CloudWatch logging, error handling and safety checks → Day 4: AWS EventBridge schedule automated cron trigger, test manually, enable automated daily execution → Day 5: Extend the pattern orphaned snapshots, unused Elastic IPs, unattached ENIs + Interview Q&A session Tools: Python · Boto3 · AWS Lambda · AWS EventBridge · Amazon EBS · Amazon CloudWatch · AWS IAM · Amazon S3 · AWS Config · AWS Cost Explorer · AWS Budgets · Amazon SNS · AWS CloudTrail · Git
Project 3: Build an AI Data Assistant RAG + SQL + FastAPI
Date: 3rd August - 7th August 2026 | Mon–Fri | 7:30 PM IST - 9:00 PM IST | 5 Sessions Session breakdown: → Day 1: RAG architecture overview set up PostgreSQL/MySQL, load schema into ChromaDB/FAISS vector store, configure OpenAI Embeddings → Day 2: LangChain pipeline schema-aware retrieval, natural language to SQL query generation using GPT-4 / Llama 3 via Ollama → Day 3: SQLAlchemy execution layer Pydantic query validation, safe database access, error handling for malformed queries → Day 4: FastAPI REST endpoint expose the chatbot as an API, test with complex analytical queries, containerise with Docker → Day 5: Deploy to AWS, end-to-end testing with real business queries, performance tuning + Interview Q&A session Tools: Python · LangChain · OpenAI GPT · Ollama (Llama 3) · PostgreSQL · MySQL · SQLAlchemy · OpenAI Embeddings · ChromaDB · FAISS · Pydantic · FastAPI · Docker · AWS
Your instructors
Prashanth
16+ years - DevOps & Cloud Architecture
Leads cloud-native delivery, EKS platforms, and SRE practices for enterprise engineering teams.
Manoj
10+ years - DevOps Engineering
Hands-on with CI/CD pipelines, Kubernetes operations, and infrastructure automation in production.
Prerequisites
Basic Linux command line navigate, edit files, run scripts
Fundamental cloud concepts: what is EC2, S3, IAM, and how AWS works
Git basics : clone, commit, push, pull requests
Basic Python knowledge variables, functions, loops (required for Projects 2 & 3)
A laptop with at least 8GB RAM and stable internet connection
An active AWS account free tier is sufficient for most sessions
An active AWS account free tier is sufficient for most sessions
Docker installed locally we will guide setup in Session 1
An active AWS account free tier is sufficient for most sessions
Who this webinar is for
DevOps engineers who want production-grade projects for their portfolio
Cloud engineers looking to add Kubernetes, GitOps, and AI skills
Software developers transitioning into DevOps or SRE roles
Working professionals preparing for senior DevOps interviews
Engineers who have done courses but never deployed a real system end-to-end
Anyone who wants hands-on AI + DevOps skills not just certifications
What's included
20 live instructor-led sessions over 4 weeks
Project 1: Microservices Deployment Blueprint (10 sessions · 13–24 July)
Project 2: AWS Cost Optimization Automation (5 sessions · 27–31 July)
Project 3: SQL Database RAG Chatbot (5 sessions · 3–7 August)
Hands-on with 20+ tools on the job description: K8s, Terraform, Jenkins, ArgoCD, LangChain, and more
Quantum Vector completion certificate for LinkedIn and resume
Frequently asked questions
Your ₹10,000 enrollment includes everything: → 20 live instructor-led sessions over 4 weeks → All session recordings forever → Project source code and setup guides → Interview Q&A after each project → Resume bullet points for all 3 projects → Quantum Vector completion certificate → WhatsApp group with direct instructor access → Lifetime access to our 5,000+ engineer community for jobs and referrals One fee. Everything included. No hidden costs.
Explore what's next
This session has wrapped, but there's always another cohort or workshop on the way.