Personal Tuition – Azure AI Services & Deployment

Service Description

Get personalized 1:1 guidance on building, deploying, and managing AI/ML applications using Microsoft Azure.

The sessions focus on practical implementation, cloud architecture, deployment, troubleshooting, and production-ready AI solutions.

Topics Covered

• Azure AI Services
• Azure Machine Learning
• Azure OpenAI Service
• Azure AI Search
• Azure AI Document Intelligence
• Azure AI Vision and Language Services
• Azure Functions
• Azure Storage and Blob Storage
• Azure Container Registry
• Azure Kubernetes Service (AKS)
• Azure App Service
• Azure Key Vault
• Azure Monitor and Application Insights
• Azure Data Explorer and KQL
• RAG application deployment
• LLM and GenAI application deployment
• AI/ML APIs using FastAPI
• Docker and containerization
• CI/CD and Azure DevOps
• MLflow and MLOps
• Model deployment and monitoring
• Production architecture and troubleshooting

Learning Approach

• Azure concepts explained from fundamentals
• Hands-on cloud implementation
• Real-world AI/ML deployment scenarios
• Architecture and design guidance
• Docker-based deployment
• API development and deployment
• CI/CD pipeline guidance
• Security and configuration best practices
• Monitoring and troubleshooting
• Cost and scalability considerations
• Personalized project guidance

Who should book this session?

• AI/ML engineers learning Azure
• Developers building AI applications
• Professionals moving AI workloads to Azure
• Students working on cloud AI projects
• Candidates preparing for Azure AI interviews
• Developers deploying RAG/LLM applications
• Anyone looking to understand production AI deployment

Important: Sessions are personalized according to your current knowledge and project requirements. Please share your project, architecture, or specific Azure services you want to discuss before the session.