Microsoft Azure AI studio
What you'll learn
- Introduction
- Data for generative AI App
- Develop generate AI apps
- Use prompt flow tools
- Speech
- Responsible AI
- Develop generate AI apps using codes
- Evaluate generative AI apps
- Deploy and monitor generative AI apps
- Azure AI services
- Infrastructure & Security
Course content
11 modules • 40Hrs Duration
Introduction
- Azure AI Studio architecture
- Azure AI Hubs
- Azure AI Projects
- Model deployment and managing.
Data for generative AI App
- Overview of retrieval augmented generation (RAG)
- Add & manage data project.
- Build and consume vector indexes
- Build and consume an index using code
Develop generate AI apps
- Prompt flow overview
- Create and manage compute session
- Create a flow
- Tune prompts using variants
- Process images in flow
Use prompt flow tools
- LLM tool
- Prompt tool
- Python tool
- Azure Open AI GPT-4 with vision tool
- Index look up tool
- Content safety tool
- Embedding tool
- Serp API tool
Develop generate AI apps using codes
- Overview of the Azure
- AI SDKs
- Work with AI studio projects in VS code
- AI templates
- Tracing applications with prompt flow
Evaluate generative AI apps
- Evaluation concepts
- Evaluate with prompt flow
- Evaluate with the prompt flow SDK
- Evaluate with Azure AI Studio
- View evaluation results
- Evaluate flows in AI Studio
Deploy and monitor generative AI apps
- Deploy a flow for real-time inference
- Enable tracing and collect feedback for a flow deployment
- Monitor prompt flow deployments
- Troubleshoot deployments and monitoring
Azure AI services
- AI services in AI studio
- Azure OpenAI
- Azure OpenAI Assistants
- GPT-4 Turbo with Vision on your images and videos in Azure AI Studio
- Use image data with Azure OpenAI
- Azure AI content safety
Speech
- Real-time speech to text
- Pronunciation assessment
- Hear and speak with chat in the playground
Infrastructure & Security
- Identify and access management
- Network security
- Data protection & encryption
Trainers recent project activities
- Successful data migration and code migration from AX 2012 to Dynamics 365 for Operations 10.0.12 version.
- PowerApps Timesheet management application, in integration with Dynamics 365 for Operations.
- Complete module design and architecture development for Estimation process in Dynamics AX 2012.
- Custom Embedded Power BI report creation for Dynamics 365 Asset Management.
Prerequisites
Basic understanding of cloud computing. Familiarity with AI and machine learning concepts
Who this course is for
Freshers, Data scientists, AI developers
This course includes
Certificate of completion
Lab exercise: 6 real time scenario-based lab samples
