Building and Modernizing AI Applications on Azure

Overview

Discover how to leverage Microsoft's comprehensive AI technologies to build modern applications on Azure, exploring market opportunities, use cases, and best practices for customer success.

Syllabus

• Introduction to AI on Azure
Overview of AI capabilities and services on Azure
Introduction to machine learning, cognitive services, and AI infrastructure
• Market Opportunities with AI on Azure
Current trends and forecasts in AI technologies
Identifying market needs and opportunities for AI solutions
• Use Cases for AI Applications
Real-world applications of AI in various industries
Case studies of successful AI implementations using Azure
• Building AI Applications
Setting up the Azure environment for AI development
Using Azure Machine Learning to create, train, and deploy models
• Modernizing Legacy Applications with AI
Integrating AI into existing applications
Transition strategies for moving applications to Azure
• Utilizing Azure Cognitive Services
Implementing pre-built AI models for vision, speech, language, and decision-making
Customizing cognitive services for specific business needs
• Best Practices for Customer Success
AI ethics and responsible AI use
Ensuring security and compliance in AI applications
• AI Application Deployment and Management
Deploying AI models and services to production environments
Monitoring, maintaining, and scaling AI applications on Azure
• Hands-On Labs and Projects
Guided labs to reinforce learning
Capstone project: Develop and modernize an AI app on Azure
• Conclusion and Future Directions
Emerging AI technologies and their potential on Azure
Continuous learning and leveraging Azure updates for AI improvements

Subjects

Programming