PROFESSIONAL TRAINING PROGRAMS

DevOps, Cloud, Security, MLOps & AIOps Training

Comprehensive hands-on training programs in DevOps, Cloud Platforms, Advanced DevSecOps, Machine Learning Operations, and AI for IT Operations designed for institutes and corporate teams.

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Hands-On Training

100% practical labs and real-world projects

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Industry Expert

AWS Certified DevOps Professional

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Institute Ready

Customized curriculum for training institutes

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Study Materials

Complete documentation and resources

Beginner40-50 Hours

DevOps Fundamentals

Perfect for beginners starting their DevOps journey. Hands-on training with industry-standard tools.

Linux Administration

  • ▸Linux Basics (RHEL & Debian/Ubuntu)
  • ▸File System Management
  • ▸User & Permission Management
  • ▸Package Management (yum, apt, dnf)
  • ▸Shell Scripting & Automation
  • ▸System Monitoring & Logs
  • ▸Networking Fundamentals

Version Control

  • ▸Git Fundamentals
  • ▸GitHub/GitLab Workflow
  • ▸Branching Strategies
  • ▸Collaboration & Pull Requests

Containerization

  • ▸Docker Fundamentals
  • ▸Dockerfile Creation
  • ▸Docker Compose
  • ▸Container Networking
  • ▸Volume Management
  • ▸Docker Registry

Configuration Management

  • ▸Ansible Basics
  • ▸Playbooks & Roles
  • ▸Inventory Management
  • ▸Ad-hoc Commands
  • ▸Ansible Vault

CI/CD Introduction

  • ▸Jenkins Setup & Configuration
  • ▸Pipeline Basics
  • ▸Build Automation
  • ▸GitHub Actions Introduction

Infrastructure as Code (Terraform)

  • ▸Terraform Basics
  • ▸HCL (HashiCorp Configuration Language)
  • ▸Providers & Resources
  • ▸State Management
  • ▸Variables & Outputs
  • ▸Modules Introduction

Basic DevSecOps & Security

  • ▸Security Best Practices
  • ▸Secrets Management
  • ▸Container Security Basics
  • ▸SSH Key Management
  • ▸Basic Vulnerability Scanning
  • ▸Secure Coding Practices
  • ▸HTTPS & SSL/TLS Basics
Advanced60-80 Hours

Advanced DevOps with CKA

Advanced DevOps with Kubernetes certification preparation. Includes hands-on Kubernetes cluster setup and administration.

Kubernetes Core Concepts

  • ▸Kubernetes Architecture
  • ▸Pods, Deployments, Services
  • ▸ConfigMaps & Secrets
  • ▸Namespaces & Resource Quotas
  • ▸Labels & Selectors

Cluster Setup & Administration

  • ▸On-Premise Cluster Setup (kubeadm)
  • ▸Cluster Networking (CNI, Calico, Flannel)
  • ▸RBAC & Security
  • ▸etcd Backup & Restore
  • ▸Cluster Upgrades
  • ▸Node Management

Storage & Persistence

  • ▸Persistent Volumes & Claims
  • ▸Storage Classes
  • ▸OpenEBS Implementation
  • ▸Longhorn Storage
  • ▸StatefulSets

Networking & Load Balancing

  • ▸Service Types (ClusterIP, NodePort, LoadBalancer)
  • ▸Ingress Controllers
  • ▸MetalLB for Bare Metal
  • ▸Network Policies

Monitoring & Logging

  • ▸Prometheus & Grafana
  • ▸Loki for Logging
  • ▸Metrics Server
  • ▸Application Monitoring

Advanced Topics

  • ▸Helm Charts
  • ▸Operators & CRDs
  • ▸Service Mesh (Istio)
  • ▸GitOps with ArgoCD
  • ▸Multi-cluster Management

CKA Exam Preparation

  • ▸Exam Tips & Strategies
  • ▸Practice Labs
  • ▸Mock Tests
  • ▸Time Management
Intermediate to Advanced50-60 Hours

DevOps with AWS

Complete AWS DevOps training covering compute, storage, networking, CI/CD, and infrastructure as code.

AWS Fundamentals

  • ▸AWS Account Setup & IAM
  • ▸VPC & Networking
  • ▸Security Groups & NACLs
  • ▸Route 53 DNS

Compute Services

  • ▸EC2 - Virtual Servers
  • ▸Auto Scaling Groups
  • ▸Elastic Load Balancer (ALB, NLB)
  • ▸AWS Lambda (Serverless)
  • ▸AWS Fargate
  • ▸ECS & EKS

Storage & Database

  • ▸S3 - Object Storage
  • ▸EBS & EFS
  • ▸RDS - Relational Database
  • ▸DynamoDB - NoSQL
  • ▸ElastiCache

AWS DevOps Services

  • ▸AWS CodePipeline
  • ▸AWS CodeBuild
  • ▸AWS CodeDeploy
  • ▸AWS CodeCommit
  • ▸Elastic Container Registry (ECR)

Infrastructure as Code

  • ▸CloudFormation Templates
  • ▸AWS CDK
  • ▸Terraform for AWS
  • ▸State Management

Monitoring & Security

  • ▸CloudWatch Metrics & Logs
  • ▸CloudTrail
  • ▸AWS Config
  • ▸KMS & Secrets Manager
  • ▸AWS WAF & Shield
  • ▸Security Best Practices

Serverless & Modern Architecture

  • ▸API Gateway
  • ▸Step Functions
  • ▸EventBridge
  • ▸SQS & SNS
  • ▸Serverless Application Model (SAM)
Intermediate to Advanced50-60 Hours

DevOps with Google Cloud Platform

Comprehensive GCP DevOps training with hands-on experience in Google Cloud services and tools.

GCP Fundamentals

  • ▸GCP Account & Project Setup
  • ▸IAM & Service Accounts
  • ▸VPC & Networking
  • ▸Cloud DNS

Compute Services

  • ▸Compute Engine
  • ▸Cloud Run (Serverless Containers)
  • ▸Cloud Functions
  • ▸App Engine
  • ▸GKE (Google Kubernetes Engine)

Storage & Database

  • ▸Cloud Storage (Buckets)
  • ▸Persistent Disks
  • ▸Cloud SQL
  • ▸Firestore
  • ▸Bigtable
  • ▸Cloud Spanner

DevOps & CI/CD

  • ▸Cloud Build
  • ▸Cloud Deploy
  • ▸Artifact Registry
  • ▸Container Registry
  • ▸Cloud Source Repositories

Infrastructure as Code

  • ▸Deployment Manager
  • ▸Terraform for GCP
  • ▸Config Connector

Data & Analytics

  • ▸BigQuery
  • ▸Dataflow
  • ▸Pub/Sub
  • ▸Dataproc

Monitoring & Security

  • ▸Cloud Monitoring (formerly Stackdriver)
  • ▸Cloud Logging
  • ▸Cloud Trace
  • ▸Secret Manager
  • ▸Cloud Armor
  • ▸Security Command Center
Intermediate to Advanced50-60 Hours

DevOps with Microsoft Azure

End-to-end Azure DevOps training covering compute, storage, networking, and Azure DevOps Services.

Azure Fundamentals

  • ▸Azure Account & Subscriptions
  • ▸Azure Active Directory
  • ▸Resource Groups
  • ▸Virtual Networks

Compute Services

  • ▸Virtual Machines
  • ▸Azure Functions
  • ▸Azure Container Instances
  • ▸Azure Kubernetes Service (AKS)
  • ▸App Service

Storage & Database

  • ▸Blob Storage
  • ▸Disk Storage
  • ▸Azure Files
  • ▸Azure SQL Database
  • ▸Cosmos DB

Azure DevOps Services

  • ▸Azure Repos
  • ▸Azure Pipelines
  • ▸Azure Artifacts
  • ▸Azure Boards
  • ▸Azure Test Plans

Infrastructure as Code

  • ▸ARM Templates
  • ▸Bicep
  • ▸Terraform for Azure

Monitoring & Security

  • ▸Azure Monitor
  • ▸Application Insights
  • ▸Log Analytics
  • ▸Azure Key Vault
  • ▸Azure Security Center
  • ▸Azure Policy

Networking & Load Balancing

  • ▸Load Balancer
  • ▸Application Gateway
  • ▸Traffic Manager
  • ▸Azure Front Door
Advanced50-60 Hours

Advanced DevSecOps

Comprehensive DevSecOps training covering security integration in CI/CD pipelines, container security, infrastructure security, and compliance automation.

DevSecOps Fundamentals

  • ▸DevSecOps Culture & Principles
  • ▸Shift-Left Security Approach
  • ▸Security in SDLC
  • ▸Threat Modeling
  • ▸Risk Assessment
  • ▸Compliance Frameworks (GDPR, SOC2, HIPAA)

Secure Code Development

  • ▸SAST (Static Application Security Testing)
  • ▸SonarQube Deep Dive
  • ▸Code Review Security Best Practices
  • ▸Secure Coding Standards (OWASP)
  • ▸Dependency Scanning (Snyk, Dependabot)
  • ▸License Compliance

Container & Image Security

  • ▸Container Security Best Practices
  • ▸Image Scanning (Trivy, Clair, Anchore)
  • ▸Distroless Images
  • ▸Multi-stage Builds for Security
  • ▸Container Runtime Security
  • ▸Docker Bench Security
  • ▸Image Signing & Verification

Kubernetes Security

  • ▸Pod Security Standards (PSS)
  • ▸Network Policies
  • ▸RBAC Deep Dive
  • ▸Secrets Management in K8s
  • ▸Admission Controllers
  • ▸OPA (Open Policy Agent)
  • ▸Falco - Runtime Security
  • ▸K8s Security Scanning (kube-bench, kube-hunter)

Secrets Management

  • ▸HashiCorp Vault
  • ▸AWS Secrets Manager
  • ▸Azure Key Vault
  • ▸GCP Secret Manager
  • ▸Secret Rotation
  • ▸Dynamic Secrets
  • ▸Encryption at Rest & in Transit

CI/CD Pipeline Security

  • ▸Securing Jenkins Pipelines
  • ▸GitLab CI/CD Security Features
  • ▸GitHub Advanced Security
  • ▸Pipeline as Code Security
  • ▸Artifact Security
  • ▸Supply Chain Security
  • ▸SBOM (Software Bill of Materials)

Infrastructure Security

  • ▸Infrastructure as Code Security
  • ▸Terraform Security (tfsec, Checkov)
  • ▸Cloud Security Posture Management (CSPM)
  • ▸Network Segmentation
  • ▸Firewall Configuration
  • ▸VPN & Zero Trust Architecture
  • ▸Identity & Access Management (IAM)

Security Monitoring & Incident Response

  • ▸SIEM (Security Information Event Management)
  • ▸Log Aggregation & Analysis
  • ▸Intrusion Detection Systems (IDS)
  • ▸Vulnerability Management
  • ▸Incident Response Planning
  • ▸Security Metrics & KPIs
  • ▸Automated Remediation

Compliance & Audit

  • ▸Compliance as Code
  • ▸Automated Compliance Scanning
  • ▸Audit Logging
  • ▸Evidence Collection
  • ▸Security Documentation
  • ▸Penetration Testing Basics

Cloud Security

  • ▸AWS Security Services (GuardDuty, Inspector, Macie)
  • ▸GCP Security Command Center
  • ▸Azure Security Center
  • ▸Cloud IAM Best Practices
  • ▸Data Encryption Strategies
  • ▸Cloud Network Security
Advanced50-60 Hours

MLOps - Machine Learning Operations

End-to-end MLOps pipeline development, from model training to production deployment with monitoring and automation.

ML Fundamentals & Setup

  • ▸Machine Learning Basics
  • ▸Python for ML (NumPy, Pandas, Scikit-learn)
  • ▸Development Environment Setup
  • ▸Jupyter Notebooks & IDEs
  • ▸Version Control for ML Projects

ML Model Development

  • ▸Data Preprocessing & Feature Engineering
  • ▸Model Training & Evaluation
  • ▸TensorFlow & PyTorch Basics
  • ▸Model Optimization Techniques
  • ▸Experiment Tracking (MLflow, Weights & Biases)

Data Management

  • ▸Data Versioning (DVC)
  • ▸Feature Stores
  • ▸Data Pipelines
  • ▸Data Quality & Validation
  • ▸Handling Large Datasets

Model Versioning & Registry

  • ▸Model Versioning Strategies
  • ▸MLflow Model Registry
  • ▸Model Packaging
  • ▸Artifact Management

ML Pipeline Automation

  • ▸Kubeflow Pipelines
  • ▸Apache Airflow for ML
  • ▸CI/CD for ML Models
  • ▸Automated Training Pipelines
  • ▸Model Retraining Strategies

Model Deployment

  • ▸Model Serving (TensorFlow Serving, TorchServe)
  • ▸REST API Deployment (FastAPI, Flask)
  • ▸Containerization for ML (Docker)
  • ▸Kubernetes for ML Workloads
  • ▸Serverless ML (AWS Lambda, Cloud Functions)
  • ▸Edge Deployment

Monitoring & Observability

  • ▸Model Performance Monitoring
  • ▸Data Drift Detection
  • ▸Model Drift Detection
  • ▸Prometheus & Grafana for ML
  • ▸A/B Testing
  • ▸Model Explainability

MLOps on Cloud

  • ▸AWS SageMaker
  • ▸Google Vertex AI
  • ▸Azure Machine Learning
  • ▸Cloud-based Training & Deployment
  • ▸Cost Optimization for ML Workloads
Advanced45-55 Hours

AIOps - Artificial Intelligence for IT Operations

Leverage AI and Machine Learning to automate IT operations, predict failures, and optimize infrastructure performance.

AIOps Fundamentals

  • ▸Introduction to AIOps
  • ▸Traditional Ops vs AIOps
  • ▸AIOps Architecture & Components
  • ▸Use Cases & Business Value
  • ▸AIOps Maturity Model

Data Collection & Aggregation

  • ▸Log Aggregation (ELK Stack, Splunk)
  • ▸Metrics Collection (Prometheus, Datadog)
  • ▸Trace Data (Jaeger, Zipkin)
  • ▸Event Correlation
  • ▸Data Normalization

Anomaly Detection

  • ▸Statistical Methods for Anomaly Detection
  • ▸ML-based Anomaly Detection
  • ▸Time Series Analysis
  • ▸Threshold vs ML-based Detection
  • ▸Real-time Anomaly Detection

Predictive Analytics

  • ▸Capacity Planning
  • ▸Failure Prediction
  • ▸Performance Forecasting
  • ▸Trend Analysis
  • ▸Resource Optimization

Alert Management & Noise Reduction

  • ▸Intelligent Alert Routing
  • ▸Alert Correlation
  • ▸Noise Reduction Techniques
  • ▸Alert Prioritization
  • ▸Event Deduplication

Root Cause Analysis

  • ▸Automated RCA
  • ▸Dependency Mapping
  • ▸Correlation Analysis
  • ▸Graph-based Analysis
  • ▸Incident Pattern Recognition

Automation & Remediation

  • ▸Auto-remediation Workflows
  • ▸Runbook Automation
  • ▸ChatOps Integration
  • ▸Self-healing Systems
  • ▸Automated Incident Response

AIOps Tools & Platforms

  • ▸Open Source Tools (Prometheus, Grafana)
  • ▸Commercial Platforms (Datadog, New Relic, Dynatrace)
  • ▸Custom AIOps Solutions
  • ▸Integration with ITSM Tools

Natural Language Processing for Ops

  • ▸Log Analysis with NLP
  • ▸Chatbots for IT Operations
  • ▸Automated Documentation
  • ▸Sentiment Analysis in Support

AIOps Implementation

  • ▸Building an AIOps Strategy
  • ▸Team Skills & Training
  • ▸Tool Selection & Integration
  • ▸Measuring AIOps Success
  • ▸Best Practices & Pitfalls

🎯 Training Methodology

Hands-On Labs

  • • Live server environments
  • • Docker containerization
  • • Kubernetes cluster setup
  • • Cloud platform accounts
  • • Real-world scenarios

Infrastructure & Tools

  • • Linux (RHEL & Debian)
  • • Terraform for IaC
  • • Ansible automation
  • • Cloud security best practices
  • • Monitoring & logging tools

Assessment & Support

  • • Regular assignments
  • • Project-based evaluation
  • • Mock interviews
  • • Certification guidance
  • • Post-training support

Ready to Start Training?

Get in touch to discuss custom training programs for your institute or organization.

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