Lilly Tech Systems
Learn Azure AI
Master Microsoft Azure's comprehensive AI ecosystem. From Azure OpenAI Service and ML Studio to Cognitive Services — build, deploy, and scale enterprise-grade AI solutions on the Azure cloud platform.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
Overview of Microsoft Azure's AI ecosystem, services landscape, and how Azure AI fits into enterprise solutions.
2. Setup
Create your Azure subscription, configure resource groups, and provision AI services for development.
3. Azure OpenAI
Deploy GPT, DALL-E, and Whisper models through Azure OpenAI Service with enterprise security and compliance.
4. Azure ML Studio
Build ML models with Azure Machine Learning Studio, AutoML, Designer, and managed compute resources.
5. Cognitive Services
Use pre-built AI capabilities: Computer Vision, Speech, Language Understanding, and Decision services.
6. Best Practices
Enterprise patterns, responsible AI, cost management, security, and scaling Azure AI workloads.
What You'll Learn
By the end of this course, you'll be able to:
Deploy GPT Models
Use Azure OpenAI Service to deploy and manage GPT, DALL-E, and Whisper models with enterprise-grade security.
Build ML Models
Train and deploy custom machine learning models using Azure ML Studio, AutoML, and the Designer interface.
Add AI Capabilities
Integrate pre-built vision, speech, language, and decision AI into your applications with simple API calls.
Enterprise AI
Implement responsible AI practices, manage costs, and build secure, compliant AI solutions at enterprise scale.