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Course Outline
Day 1:
Module 1: Azure Fundamentals
- What’s Cloud Computing?
- Introduction to Azure & Azure account
- Azure portal & services overview- compute & storage
- Security, responsibility, policies and trust in Azure
- Cost estimation in Azure
Module 2: Building Intelligent Cloud Applications
- Serverless architectures
- Leveraging pretrained models
- Continuous Delivery- scaling, security, monitoring
Day 2:
Module 3: Intro to AI on Azure
- AI solutions & services in Azure
- Cognitive Services APIs
- Bot Framework
- Machine Learning services in Azure
Module 4: Hands on with Machine Learning Studio
- ML Studio account deep dive
- Building ML Studio experiments
- Training- Testing and Publishing ML Studio experiments
- Infering models as Web services- Batch and Real time
- Business Scenario hands on using ML Studio
Day 3:
Module 5: Azure Cognitive Speech Services
- Using Cognitive Services Speech to Text translation
- Speaker Recognition API usage
- Business Scenario deep dive using Speech Services
Module 6: Azure Cognitive Vision Services
- Face detection and recognition using Computer Vision API
- Image processing with Computer Vision
- Image classification with Custom Vision
- Business scenario deep dive using Computer Vision
Day 4:
Module 7: Creating Intelligent Bots using Azure Bot service
- Natural interaction bot using Cognitive Services
- Bot Integration with Speech, Search, Language Understanding, QnA, Vision
- Bot deployment connecting to external channels
- Business scenario implementation using Bot service
Summary and Conclusion
Requirements
- An understanding of Microsoft Azure Cloud
- Experience with using Azure, fundamental data processing
- Awareness of Artificial Intelligence
Audience
- Data practioners
- Artificial Intelligence enthusiasts
- Data Engineers
- Cloud practioners
28 Hours
Testimonials (1)
very friendly and helpful