Build AI Products Using Azure AI Services in Your Development Lifecycle

Übersicht

This comprehensive learning path is for Azure developers in an enterprise environment looking to build and scale AI products. Focusing on implementation and responsible AI, it includes fundamental coverage of LLMs and AI agents, as well as deep-level coverage of building multi-lingual AI apps, building a RAG solution with Azure tools, creating agents using Azure OpenAI, and leveraging the Azure AI Model Catalog for development and deployment.Apply safety and ethics within your AI app builds.Evaluate a RAG application using the Azure AI Evaluation SDK.Select the appropriate model for specific business scenarios.Customize speech-to-text models to fit specific needs.

Lehrplan

• Introduction to Azure AI Services
Overview of Azure AI capabilities
Key components for AI development
• Understanding AI in Enterprise Environments
Integrating AI in enterprise solutions
Challenges and opportunities in scaling AI products
• Implementation of Responsible AI
Ethical AI development practices
Safety standards and compliance in AI
• Fundamentals of Large Language Models (LLMs) and AI Agents
Introduction to LLMs
Building and deploying AI agents
• Developing Multi-lingual AI Applications
Tools and services for multi-language support
Best practices for localization and internationalization
• Building a RAG (Retrieval-Augmented Generation) Solution
Overview of RAG architecture
Utilizing Azure tools to implement RAG solutions
• Creating Agents with Azure OpenAI
Basics of Azure OpenAI integration
Developing and deploying conversational agents
• Leveraging Azure AI Model Catalog
Navigating and utilizing Azure AI Model Catalog
Best practices for model selection and deployment
• Customization and Optimization of AI Solutions
Customizing speech-to-text models
Optimizing models for specific business requirements
• Evaluation of AI Applications
Introduction to Azure AI Evaluation SDK
Evaluating the performance and accuracy of AI applications
• Applying Safety and Ethics in AI App Development
Ensuring ethical considerations in AI applications
Implementing safety measures in AI deployments
• Case Studies and Business Scenario Applications
Real-world examples of Azure AI in business
Case analysis and solution development
• Conclusion and Future Trends in AI Development with Azure
Emerging trends in AI technology
Preparing for the future of AI in enterprise solutions

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Unterrichtet von

Marco Casalaina, Sam Nasr, MCSA, MVP, MCT, Sammy Deprez and Ziggy Z.

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Fachgebiete

Computer Science