I started to study for AI102 Certification. Preparing for the AI-102 certification is an excellent way to deepen understanding of Azure AI services. Here’s a breakdown of the key services that is related with exam:
Azure AI Services Overview
Azure Cognitive Services – These are pre-built AI models that allow developers to integrate AI capabilities into applications. They include:
- Vision (e.g., Computer Vision, Face API)
- Speech (e.g., Speech-to-Text, Text-to-Speech, Translator)
- Language (e.g., Text Analytics, Language Understanding)
- Decision (e.g., Personalizer)
- Search (e.g., Azure AI Search)
Azure Machine Learning – A comprehensive cloud-based service that helps in building, training, and deploying ML models efficiently. Key components include:
- Automated Machine Learning (AutoML) for simplifying model selection
- Azure Machine Learning Studio for managing experiments
- Azure ML Designer for drag-and-drop ML workflows
- Responsible AI tools to ensure fairness and transparency in AI models
Azure Bot Services – This platform enables the development and management of conversational AI bots using tools like:
- Bot Framework SDK for custom bots
- Azure Bot Service for hosting and scaling bots
- Power Virtual Agents for low-code/no-code bot creation
Additional Azure AI Services
- Azure OpenAI Service – Provides access to OpenAI models like GPT for natural language understanding.
- Azure AI Search – AI-powered search capabilities for enterprise applications.
- Azure Databricks – Optimized for big data and AI workloads.