Step 1: Understanding Azure AI Fundamentals
Delve into the core concepts of Azure AI, including Natural Language Processing (NLP), Computer Vision, and Machine Learning. Familiarize yourself with Azure Cognitive Services.
Step 2: Exploring Azure Cognitive Services
Explore the various Cognitive Services available in Azure, like Text Analytics, Speech Services, and Face API. Understand their use cases and capabilities.
Step 3: Implementing a Basic AI Project
Start with a simple project, perhaps sentiment analysis or text categorization. Leverage Azure Machine Learning Studio for a smooth workflow.
Step 4: Data Preparation and Model Training
Prepare your data, choose appropriate AI models, and train them using Azure Machine Learning. Understand data preprocessing and feature engineering.
Step 5: Deploying Your Model
Deploy your trained model to Azure Machine Learning Managed Endpoints for easy and scalable deployment.