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Learning by doing
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Trainers with practical experience
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Classroom training
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Detailed course material
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Clear content description
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Tailormade content possible
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Training that proceeds
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Small groups
The course Azure AI from SpiralTrain teaches you how to build and deploy intelligent applications using Microsoft Azure AI services. You will learn how to leverage Azure's AI capabilities including cognitive services, machine learning, OpenAI integration, and how to create production-ready AI solutions in the Azure cloud environment.
The course Azure AI begins with an overview of the Azure AI platform including service categories, portal navigation, resource management, authentication, API configuration, and pricing models for Azure AI services.
This module covers Azure Cognitive Services including vision services for image analysis, face recognition, custom vision, language services for text analytics, translation, speech processing, content moderation, and document intelligence capabilities.
Here participants learn to work with Azure OpenAI Service including GPT models, ChatGPT integration, prompt engineering techniques, model fine-tuning, embeddings, responsible AI practices, content filtering, and token management strategies.
The course concludes with Azure Machine Learning fundamentals, ML Studio usage, model training and deployment, MLOps basics, monitoring solutions, security configuration, integration patterns, and production deployment best practices.
This course is intended for developers, data scientists, AI engineers, and cloud architects who want to build intelligent applications using Azure AI services and integrate AI capabilities into their solutions.
Participants should have basic programming knowledge and familiarity with cloud concepts. Experience with Azure portal and REST APIs is beneficial. Understanding of AI and machine learning fundamentals is helpful.
The training combines theoretical instruction with extensive hands-on labs using Azure services guided by an expert trainer. Participants build real AI applications throughout the course using practical scenarios.
After successful completion, participants receive a certificate of participation in Azure AI.
Module 1: Azure AI Platform |
Module 2: Cognitive Services |
Module 3: Azure OpenAI |
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Azure AI Overview AI Service Categories Azure Portal Navigation Resource Management Service Tiers Authentication Methods API Keys Endpoints Configuration Pricing Models Best Practices |
Vision Services Computer Vision API Face Recognition Custom Vision Language Services Text Analytics Translator Service Speech Services Content Moderation Document Intelligence |
Azure OpenAI Service GPT Models ChatGPT Integration Prompt Engineering Fine-Tuning Models Embeddings Responsible AI Content Filtering Token Management Cost Optimization |
Module 4: ML and Deployment |
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Azure Machine Learning ML Studio Model Training Model Deployment MLOps Basics Monitoring Solutions Security Configuration Integration Patterns Production Best Practices Hands-On Projects |
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