Master Azure AI Studio for Intelligent Apps and Automations
This course provides a comprehensive introduction to Azure AI Studio, covering setup, model deployment, and advanced AI services. Learn to build scalable AI applications with practical use cases and integrations.
Overview
Microsoft's Azure AI Studio is empowering developers and AI professionals to create intelligent applications with ease. A new course titled "Azure AI Studio – Build Intelligent Apps, Agents, and Automations with Azure AI Studio" offers a deep dive into this powerful platform, equipping learners with the skills to harness AI for real-world solutions.
Course Breakdown
Getting Started with Azure AI Studio
- Introduction to Azure AI Studio's architecture, features, and benefits
- Step-by-step guidance on setting up Azure accounts, projects, and resource management
- Foundation-building within the Azure ecosystem
Core AI Development Skills
- Model deployment and benchmarking
- Working with chat playgrounds and retrieval augmented generation for data indexing
- In-depth training on the Prompt Flow Builder for complex AI workflows
- Integration of multiple LLM calls, APIs, and Python functions
Advanced AI Services
- Practical applications of vision, speech, and document intelligence AI services
- Use cases like receipt scanning and multimodal data processing
Deployment and Integration
- Scaling AI solutions effectively
- Connecting Azure AI endpoints with Microsoft Power Automate and Teams
- Performance and cost optimization for deployments
Supplementary Materials
Learners can access additional resources by navigating to the 'Resources' section above the 'Course Outline' and clicking 'Supplemental Content', which will either download materials or redirect to GitHub.
Key Learning Outcomes
- Set up and manage Azure AI Studio environments
- Deploy and benchmark AI models
- Design complex prompt flows with multiple LLM calls and APIs
- Integrate vision, speech, and document AI services
- Connect AI endpoints to Microsoft Power Automate and Teams
- Monitor and optimize AI deployments
Target Audience
This course is ideal for:
- Software developers
- AI engineers
- Data scientists
- Cloud professionals
Basic familiarity with cloud platforms, AI concepts, and Python programming is recommended. Prior experience with Microsoft Azure fundamentals is beneficial but not required.
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.