Designing and Implementing an Azure AI Solution (AI-102)
Training at a glance
Level
Intermediate
Duration
5 Days
Experience
1 year: Microsoft
Average Salary
$145,000
Labs
Yes
Training Details
- Design and implement AI solutions using Azure Cognitive Services
- Build, train, and deploy machine learning models using Azure resources
- Create conversational AI experiences with the Azure Bot Service and Bot Framework
- Implement computer vision, natural language processing, and speech solutions
- Integrate AI services securely and efficiently into existing applications
- Module 1: Introduction to Azure AI Services
- Overview of Azure AI portfolio
- Cognitive Services overview
- Understanding responsible AI principles
- Module 2: Developing AI Apps with Cognitive Services
- Using SDKs and REST APIs
- Authentication and authorization with Cognitive Services
- Managing and monitoring Azure AI resources
- Module 3: Implementing Computer Vision Solutions
- Analyzing images with the Computer Vision service
- Detecting and recognizing faces
- Implementing custom vision models
- Module 4: Implementing Natural Language Processing Solutions
- Using Azure AI Language services
- Performing sentiment analysis, key phrase extraction, and translation
- Building custom text classification models
- Module 5: Implementing Speech Solutions
- Speech-to-text and text-to-speech capabilities
- Translating spoken language
- Implementing speaker recognition
- Module 6: Creating Conversational AI with Azure Bot Service
- Designing conversational flows
- Integrating Azure Cognitive Services with bots
- Deploying and testing bots with Azure Bot Framework Composer
- Module 7: Implementing Knowledge Mining with Azure Cognitive Search
- Building intelligent search solutions
- Integrating AI enrichment into data sources
- Managing indexes and search performance
- Module 8: Integrating AI Models and Services
- Combining multiple AI services in solutions
- Using Azure Machine Learning for custom models
- Managing AI pipelines and deployment
- Module 9: Monitoring, Security, and Compliance
- Implementing monitoring and diagnostics for AI services
- Ensuring data privacy and compliance
- Applying responsible AI principles in deployment
- AI Engineers
- AI Developers
- Machine Learning Engineers focused on solution integration
- Knowledge of Microsoft Azure and basic cloud concepts
- Experience in at least one programming language such as Python or C#
- Understanding of REST APIs and JSON data structures
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