Azure AI Services: Developing solutions

Overview

The "Develop Solutions with Azure AI Services" course is designed to introduce individuals to the practical aspects of building applications that leverage Microsoft's Azure AI offerings. It acts as a gateway for those interested in understanding how to apply artificial intelligence within real-world solutions using the Azure platform.

Within this course, learners will gain foundational knowledge about the process of developing with Azure AI. The content focuses on demonstrating how various AI services provided by Azure can be integrated into applications.

Expect to learn the core concepts and methodologies needed to start creating AI-driven solutions. There's a strong emphasis on practical implementation, rather than just theoretical knowledge, making it suitable for those looking to get hands-on experience with Azure AI.

The material also likely covers the range of AI capabilities available within Azure, providing a broad overview of what is possible and how different services can be combined to achieve specific goals.

Syllabus

• Introduction to Azure AI Services
Overview of AI in Azure
Importance of AI in modern applications
Navigating the Azure portal for AI services
• Fundamentals of Azure AI
Understanding AI models and machine learning
Key concepts in AI development
Overview of Azure Machine Learning Studio
• Exploring Azure Cognitive Services
Vision APIs
Speech services
Language understanding and processing
Decision services
• Developing with Azure Machine Learning
Creating and managing machine learning models
Training and deployment workflows
Automating ML processes with Azure ML pipelines
• Integrating AI Services into Applications
API-driven integration of AI services
Authentication and security considerations
Data handling and preprocessing for AI
• Building IoT solutions with Azure AI
Connecting IoT devices to Azure AI
Analyzing IoT data using AI services
• Case Studies and Real-World Applications
Analysis of AI-driven applications built on Azure
Lessons learned and best practices
• Hands-on Lab Sessions
Setting up development environment on Azure
Building and deploying a simple AI-powered application
Troubleshooting common issues in AI solutions
• Future of AI in Azure
Exploring upcoming Azure AI features and innovations
Preparing for AI advancements and ecosystem changes
• Course Conclusion and Project Demonstrations
Final project presentations
Feedback and Q&A sessions

Subjects

Programming