Course Overview
Master Azure DevOps with AI-driven development, automation, CI/CD, cloud infrastructure, and modern DevOps practices. Build real-world deployment pipelines, automate repetitive tasks, manage cloud infrastructure, and use AI tools to improve development and delivery workflows. This course is ideal for developers, DevOps engineers, cloud professionals, system administrators, and IT professionals looking to build practical Azure DevOps skills and become job-ready.
Highlights
- Industry-grade curriculum
- Real production-style projects
- 1-on-1 mentor support
Learning Outcomes
- Build production-ready APIs
- Deploy to the cloud with CI/CD
- Write testable, clean code
Course Curriculum
- Version Control & Source Code Management1h
- Git Basics
- Branching & Merging
- GitHub/GitLab Workflow
- Pull Requests & Code Reviews
- Linux & Shell Scripting1h
- Linux Commands & File System
- Users, Permissions & Process Management
- Bash Scripting
- Cron Jobs & Automation
- CI/CD Fundamentals1h
- CI, CD & Deployment Concepts
- Pipeline Stages
- Artifact Management
- Semantic Versioning
- CI/CD Tools1h
- Jenkins
- GitHub Actions
- GitLab CI
- Azure Pipelines
- Docker Fundamentals1h
- Docker Architecture
- Images, Containers & Layers
- Docker CLI
- Docker Registry
- Dockerfile & Image Management1h
- Dockerfile Instructions
- Multi-stage Builds
- Image Optimization
- Docker Hub & Azure Container Registry
- Storage, Networking & Docker Compose1h
- Volumes & Bind Mounts
- Docker Networks
- Docker Compose
- Multi-container Applications
- Docker Security & Best Practices1h
- Non-root Containers
- Image Scanning
- Health Checks
- Resource Limits & Restart Policies
- Kubernetes Fundamentals1h
- Architecture
- Pods & ReplicaSets
- Deployments
- StatefulSets & DaemonSets
- Networking & Storage1h
- Services
- Ingress
- Persistent Volumes
- Storage Classes
- Configuration & Package Management1h
- ConfigMaps
- Secrets
- Namespaces
- Helm Charts
- Operations & Monitoring1h
- Rolling Updates
- Autoscaling
- RBAC
- Prometheus & Grafana
- Azure Core Services1h
- Resource Groups
- Virtual Machines
- App Services
- Azure Kubernetes Service (AKS)
- Storage & Identity1h
- Blob Storage
- Azure Files
- Microsoft Entra ID
- RBAC & Key Vault
- Infrastructure as Code1h
- ARM Templates
- Bicep
- Terraform
- Ansible
- Azure Deployment1h
- AKS Deployment
- Networking
- Scaling
- Security Best Practices
- Azure Boards & Repositories1h
- Agile Boards
- Work Items
- Sprint Planning
- Azure Repos
- Azure Pipelines1h
- YAML Pipelines
- CI Pipelines
- CD Pipelines
- Deployment Strategies
- Azure Artifacts & Testing1h
- Package Management
- Test Plans
- Automated Testing
- DevSecOps
- End-to-End Deployment1h
- Docker Integration
- Azure Container Registry
- AKS Deployment
- Approval Gates
- Python for AI1h
- NumPy
- Pandas
- Data Visualization
- Data Processing
- Machine Learning1h
- Regression
- Classification
- Clustering
- Model Evaluation
- Deep Learning1h
- Neural Networks
- TensorFlow / PyTorch
- Model Training
- Optimization
- Generative AI & LLMs1h
- Transformer Models
- Prompt Engineering
- Embeddings
- Retrieval-Augmented Generation (RAG)
- ML Pipeline Automation1h
- Data Pipeline
- Model Training
- Experiment Tracking
- Version Control
- Model Deployment1h
- Docker for ML
- Azure ML
- AKS Deployment
- REST APIs
- ML CI/CD1h
- Azure Pipelines
- Automated Validation
- Deployment Automation
- Release Management
- Monitoring & Optimization1h
- MLflow
- DVC
- Model Drift
- Performance Monitoring
- Infrastructure Setup1h
- Azure Infrastructure
- Terraform/Bicep
- Kubernetes Cluster
- Security Configuration
- Application Deployment1h
- Docker Containerization
- Helm Deployment
- Azure DevOps CI/CD
- Automated Release
- AI/MLOps Integration1h
- MLflow
- Model Deployment
- Monitoring
- Logging
- Production Readiness1h
- Autoscaling
- Security
- Rollback Strategy
- Final Project Presentation
Ready to start AI-Powered Azure DevOps: Automate, Deploy & Scale?
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