Nixace
Technologies
This isn't a crash course; it's your transformation into a confident, job-ready DevOps professional.
Your Transformation Blueprint
From Confused to Confident in 12 Months
Every successful DevOps engineer started exactly where you are now. Wondering if they could do it. Doubting their abilities.
This curriculum isn't just education – it's your step-by-step transformation guide.
"I wish I had this roadmap when I started my career!" - Every senior engineer who sees our curriculum.
SysOps (System Operations)
Target: System Administrators, IT Support, Linux/Windows Admins6
weeks- Linux/Windows Administration (File system, users/groups, services, logs)
- Networking and Security (DNS, DHCP, Firewalls, SSL/TLS, OS hardening)
- Monitoring & Performance (Nagios, Zabbix, top, iostat, vmstat)
- Automation Basics (Bash, PowerShell, Ansible)
- Backup & Recovery, Incident & Change Management, Cloud Readiness
CloudOps (Cloud Operations)
Target: Cloud Engineers, IT Admins moving to cloud6
weeks- Cloud Fundamentals (AWS, Azure, GCP, IAM, EC2/VMs, Storage, Networking)
- Monitoring & Logging (CloudWatch, Azure Monitor, Stackdriver)
- High Availability, Resilience, Automation Tools (Terraform, CloudFormation)
- CI/CD on Cloud (CodePipeline, Jenkins, GitHub Actions)
- Security, Cost Optimization, Disaster Recovery
DevOps
Target: Developers, System Admins, Cloud Engineers8
weeks- DevOps Culture & Principles, Version Control & GitOps
- CI/CD Tools (Jenkins, CircleCI, ArgoCD)
- Configuration Management (Ansible, Chef, Puppet)
- Containerization & Orchestration (Docker, Kubernetes)
- Monitoring, IaC, DevSecOps, Real-world Projects
FinOps (Cloud Financial Management)
Target: Cloud Managers, Finance teams, CloudOps4
weeks- FinOps Fundamentals, Cloud Economics
- Cloud Cost Structures, Tools & Reporting
- Optimization & Governance, KPI and Metrics
- FinOps in Practice, Chargeback/Showback
AIOps (AI for IT Operations)
Target: IT Ops, Data Engineers, SREs6
weeks- AIOps Introduction, Data Sources & Collection
- Anomaly Detection, Noise Reduction, Event Correlation
- Automation & Self-healing, Tools Overview
- Building AIOps Pipelines, Use Cases
MLOps (ML Operations)
Target: Data Scientists, ML Engineers, DevOps8
weeks- MLOps Overview, Model Development & Tracking
- Data Versioning, Model Deployment & Serving
- Monitoring & Drift Detection, Scaling with Kubernetes
- CI/CD for ML Pipelines, Governance & Audit
- End-to-End MLOps Project
DataOps
Target: Data Engineers, BI Teams, Data Scientists6
weeks- DataOps Principles, Data Pipeline Basics
- Data Versioning & Lineage, CI/CD for Data
- Orchestration Tools, Monitoring Data Quality
- Automation & Testing, Real-time DataOps
Fast-Track or Deep-Dive – Your Career, Your Choice
Success has many paths, but they all lead to the same destination.
Whether you want intensive transformation or focused skill-building, we've designed options that fit your life and accelerate your dreams.
Frequently Asked Questions
- Core concepts of Cloud Computing
- Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP)
- DevOps tools like CI/CD, Terraform, Docker, Kubernetes, Monitoring, Automation, and more
- Final-year engineering or IT students
- Recent graduates looking to launch their career in cloud or DevOps
- Early-career professionals and job-switchers from tech or non-tech backgrounds
- Work in small cohorts (10 students max) with close mentorship
- Solve real-world problems using live cloud setups
- Gain deep experience in project delivery, team collaboration, and debugging—just like you would in your first cloud job
- Learn how to operate in high-performance, production-like settings
- Resume and profile building support
- Interview preparation and technical mock sessions
- Project completion certificates and detailed experience letters
- Guidance for real job interviews and referrals through our network