Microsoft Azure AI Solutions-Designing and Implementing (AI-102)
Microsoft Azure AI Solutions-Designing and Implementing (AI-102) is a program and corresponding learning path that focuses on the skills needed to design and implement AI solutions using Microsoft Azure services.
- Design AI Solutions: Learn to plan AI projects using Azure AI services, focusing on architecture, data, security, and scalability.
- Integrate AI Models: Understand how to integrate machine learning models and AI services into applications.
- Deploy and Manage AI Solutions: Master deploying, managing, and monitoring AI models on Azure, including setting up CI/CD pipelines.
- Develop Conversational AI: Build and manage bots using Azure Bot Services and implement natural language understanding with Language Understanding (LUIS).
- Basic Understanding of AI and Machine Learning: Familiarity with core AI concepts and machine learning principles.
- Azure Fundamentals: Knowledge of Microsoft Azure services, especially those related to AI and data processing.
- Programming Skills: Proficiency in programming languages like Python or C# for developing and integrating AI models.
- Experience with RESTful APIs: Understanding of APIs for connecting various Azure services and AI solutions.
- AI Solution Design: Ability to design AI solutions tailored to business needs using Azure AI services.
- Azure Cognitive Services: Proficiency in implementing Azure Cognitive Services for vision, speech, language, and decision-making tasks.
- Azure Machine Learning: Skills in deploying, managing, and monitoring machine learning models using Azure Machine Learning service.
- Natural Language Processing (NLP): Understanding of how to implement NLP solutions, including text analytics and language understanding with Azure tools.
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