AI 102 Designing And Implementing A Microsoft Azure AI Solution
Instructor-led Microsoft-aligned training in AI 102 Designing And Implementing A Microsoft Azure AI Solution. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
This course provides a comprehensive guide to designing and implementing AI solutions using Microsoft Azure's powerful suite of AI services. Participants will learn how to leverage pre-built AI services and custom machine learning models to create intelligent applications, addressing real-world business challenges and integrating responsible AI practices.
What you'll learn
- Design and implement robust AI solutions that meet business requirements using Azure AI services.
- Develop computer vision solutions, including image analysis, object detection, and facial recognition capabilities.
- Build natural language processing (NLP) applications for text analysis, sentiment detection, and language understanding.
- Implement knowledge mining solutions using Azure Cognitive Search to extract valuable insights from unstructured data.
- Create conversational AI solutions with Azure Bot Service and Language Understanding (LUIS) for intelligent interactions.
- Integrate responsible AI practices throughout the solution design and development lifecycle on Azure.
- Deploy and manage AI models and services efficiently within the Azure ecosystem.
- Monitor and optimize AI solutions for performance, scalability, and cost-effectiveness.
Curriculum
6 modules · outline is indicative and can be tailored to your team.
1Introduction to Azure AI and Responsible AI
- Overview of Azure AI services and capabilities
- Principles and implementation of Responsible AI
- Planning and architecting an AI solution on Azure
- Introduction to Azure Machine Learning for custom models
2Implementing Computer Vision Solutions
- Leveraging Azure Computer Vision service
- Building custom image classification and object detection models with Custom Vision
- Working with Face API and Video Indexer for advanced scenarios
- Designing and deploying end-to-end vision solutions
3Developing Natural Language Processing Solutions
- Utilizing Azure AI Language service for text analytics
- Implementing sentiment analysis, key phrase extraction, and named entity recognition
- Integrating Translator and Speech services for multilingual and voice applications
- Building sophisticated NLP applications
4Knowledge Mining with Azure Cognitive Search
- Introduction to Azure Cognitive Search and its capabilities
- Creating and enriching search indexes from various data sources
- Integrating AI skills (vision, language) for data extraction and analysis
- Implementing a comprehensive knowledge mining solution
5Building Conversational AI Solutions
- Fundamentals of Azure Bot Service for creating intelligent bots
- Designing intent recognition with Language Understanding (LUIS)
- Integrating QnA Maker for frequently asked questions
- Deploying and managing conversational AI agents
6MLOps and Solution Deployment
- Introduction to MLOps (Machine Learning Operations) on Azure
- Deploying custom machine learning models as web services
- Monitoring and managing the lifecycle of AI solutions
- Security and governance considerations for Azure AI solutions
Prerequisites
Attendees should have a foundational understanding of Microsoft Azure, including core services and basic programming concepts in Python or C#.
Who should attend
This course is ideal for AI engineers, data scientists, developers, and solution architects looking to design and implement AI solutions on the Microsoft Azure platform.
Certification
Prepares you for the official Microsoft certification exam.
Skilvi is an independent training provider and is not affiliated with, or endorsed by, Microsoft. Trademarks are the property of their respective owners.
Frequently asked questions
What is the delivery format for this course?
This is an instructor-led, live-online course, providing real-time interaction with an expert instructor and fellow participants.
How long is this course?
The typical duration for this intermediate-level course is 3-4 days, though specific schedules may vary.
Will I receive a certificate upon completion?
Yes, upon successful completion of the course, you will receive an Skilvi course-completion certificate.
Are exam vouchers included with the course?
Exam vouchers for related Microsoft certification exams are available through authorized channels on request.
What are the prerequisites for this course?
A foundational understanding of Microsoft Azure and basic programming concepts in Python or C# is recommended.
What kind of hands-on experience can I expect?
The course includes extensive hands-on labs and practical exercises to reinforce learning and build real-world skills with Azure AI services.
Pricing on request
- Live online (VILT)
- 24–32 hours
- Hands-on labs & assignments
- Skilvi completion certificate
- Exam voucher on request
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