Microsoft Azure Training Programs
Build enterprise-grade Azure skills with our comprehensive training catalog. From cloud fundamentals to advanced architecture and DevOps, we offer courses aligned with Microsoft’s certification paths for every experience level.
Available Trainings
Section titled “Available Trainings”Azure Fundamentals (AZ-900)
Start your Azure journey with cloud concepts, core services, and Azure fundamentals.
Azure Administrator (AZ-104)
Manage Azure identities, governance, storage, compute, and virtual networks.
Azure Developer (AZ-204)
Design, build, test, and maintain cloud solutions on Azure. Focus on PaaS and serverless.
Azure DevOps Engineer (AZ-400)
Design and implement DevOps practices for version control, compliance, and CI/CD on Azure.
Azure Solutions Architect (AZ-305)
Design identity, governance, data, infrastructure, and business continuity solutions.
Azure Security Engineer (AZ-500)
Implement security controls, maintain security posture, and manage identity and access.
Azure DevOps Boards & Agile Project Management
Master Azure DevOps Boards for agile planning — work items, sprints, backlogs, dashboards, and analytics.
Azure Pipelines Advanced Patterns
Advanced YAML pipelines — template libraries, self-hosted agents, matrix strategies, and enterprise patterns.
Azure DevOps & GitHub Integration
Bridge Azure DevOps and GitHub — Actions for Azure, Boards linking, migration, and hybrid workflows.
Azure AI Fundamentals (AI-900)
Introduction to AI concepts and Azure AI services — machine learning, computer vision, NLP, and generative AI.
Azure AI Foundry & AI Studio
Build and deploy AI solutions with Azure AI Foundry — model catalog, prompt engineering, RAG, and fine-tuning.
Azure OpenAI Service & Generative AI
Build production generative AI apps with Azure OpenAI — GPT models, embeddings, function calling, and RAG.
Azure Machine Learning Engineering (DP-100)
Design and implement ML solutions — Azure ML workspace, AutoML, ML pipelines, MLOps, and model deployment.
Azure Repos & Git Workflows
Branch policies, pull request workflows, branching strategies, and mono-repo patterns with Azure Repos.
Azure Artifacts & Package Management
Feed management, upstream sources, package versioning, and supply chain security for NuGet, npm, Maven, and Python.
Azure Test Plans & Quality Management
Test case management, exploratory testing, automated test integration, and quality dashboards.
Azure DevOps Administration & Governance
Organization setup, security and permissions, process customization, and enterprise-scale operations.
Learning Paths
Section titled “Learning Paths”Core Topics Covered
Section titled “Core Topics Covered”Compute Services
Section titled “Compute Services”- Virtual Machines, Scale Sets, and Availability Sets
- Azure App Service and Azure Functions
- Azure Kubernetes Service (AKS)
- Azure Container Instances and Container Apps
Storage & Databases
Section titled “Storage & Databases”- Azure Storage (Blob, File, Queue, Table)
- Azure SQL Database and Cosmos DB
- Azure Database for PostgreSQL and MySQL
- Azure Cache for Redis
Networking & Security
Section titled “Networking & Security”- Virtual Networks, subnets, and NSGs
- Azure Load Balancer and Application Gateway
- Azure Firewall and DDoS Protection
- Azure Active Directory and RBAC
DevOps & Automation
Section titled “DevOps & Automation”- Azure DevOps Services and GitHub Actions
- Azure Boards, Repos, Pipelines, and Artifacts
- Azure Resource Manager templates and Bicep
- Azure Automation and Logic Apps
- Azure Monitor and Application Insights
AI & Machine Learning
Section titled “AI & Machine Learning”- Azure AI Foundry and AI Studio
- Azure OpenAI Service and GPT models
- Azure AI Search and RAG patterns
- Azure Machine Learning and AutoML
- Responsible AI and content safety
Hands-On Labs
Section titled “Hands-On Labs”Every course includes practical labs in real Azure environments:
- Azure Sandbox — Practice without affecting production
- Guided Exercises — Step-by-step instructions with explanations
- Challenge Labs — Test your skills with real scenarios
- Capstone Projects — Build complete solutions
Certification Preparation
Section titled “Certification Preparation”Courses aligned with Microsoft certification paths are designed to prepare you for certification exams:
- Exam-aligned content — Covers all exam objectives
- Practice assessments — Microsoft Learn-style questions
- Exam tips — Learn test-taking strategies
- Real-world scenarios — Apply concepts to production use cases
Delivery Formats
Section titled “Delivery Formats”Every training is available in multiple formats to fit your team’s needs:
| Format | Description |
|---|---|
| In-Person | On-site at your company’s location. Hands-on with direct interaction. |
| Live Online | Interactive virtual sessions with screen sharing and real-time labs. |
| Hybrid | Combination of on-site and remote sessions with flexible scheduling. |
All formats include hands-on labs, course materials, and post-training support. Pricing is custom per engagement based on team size, duration, and delivery format.
Prerequisites
Section titled “Prerequisites”For Beginner Courses (AZ-900):
- Basic IT knowledge
- No prior Azure experience required
For Associate Courses (AZ-104, AZ-204):
- 6+ months hands-on Azure experience (or AZ-900)
- Basic networking and operating system knowledge
- Familiarity with at least one programming language
For Expert Courses (AZ-305, AZ-400, AZ-500):
- 2+ years hands-on Azure experience
- Relevant Associate certification recommended
- Strong understanding of enterprise architecture
For AI Courses (AI-900, AI Foundry, OpenAI, DP-100):
- AI-900: Basic IT knowledge, no AI experience required
- AI Foundry & OpenAI: Programming experience (Python recommended)
- DP-100: Python proficiency, basic ML concepts, Azure experience
Get Started
Section titled “Get Started”Every training is customized to your team’s experience level and goals. Contact me to discuss your requirements, preferred schedule, and delivery format.
Browse our other training programs for AWS, GCP, DevOps, Kubernetes, and Terraform.