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Python ProgrammingDesigning and Implementing a Microsoft Azure AI Solution
AI-102
Learn new skills and discover the power of Microsoft AI with step-by-step guidance.
Demand for Cloud Skills
Learn core Azure services and cloud concepts for career success. Start from the basics and progress to cloud expertise.
Hands-On Learning
Understanding Azure allows you to leverage technology to stay ahead of competitors and adapt to market changes.
Learn from Azure Experts
Build a solid foundation in cloud computing with Azure and lead in an increasingly digital business landscape.
Instructor-led
Official Courseware
Flexible Schedule
Guaranteed To Run
Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI.
The course will use C# or Python as the programming language. Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They should familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.
Course : Designing and Implementing an Azure AI Solution
Level : Intermediate
Type : Instructor led Live online or Classroom
Length : 4 days
Labs : Included
Practice Test : Included
AI engineers and developers working on AI solutions
Data scientists and ML engineers
Cloud solution architects designing AI powered applications
IT professionals
Anyone preparing for the Microsoft Certified Azure AI Engineer Associate certification
Basic knowledge of Microsoft Azure services
Experience with programming languages like Python or C#
Developing AI Solutions with Azure Cognitive Services
Implementing Natural Language Processing
Building text analytics, language understanding
Creating Conversational AI Solutions Developing chatbots
Building Computer Vision Solutions Image classification
Facial recognition, and optical character recognition
Working with Azure Machine Learning
Implementing Responsible AI Practices
Security considerations in AI solutions
Instructor-led Virtual online live Training.
Weekend Classes
Evening Classes
Weekdays Classes
Course Outline
Module 1: Get started with Azure AI Services
Prepare to develop AI solutions on Azure
Create and consume Azure AI services
Secure Azure AI services
Monitor Azure AI services
Deploy Azure AI services in containers
Use AI responsibly with Azure AI Content Safety
Module 2: Create computer vision solutions with Azure AI Vision
Analyze images
Image classification with custom Azure AI Vision models
Classify images
Detect objects in images
Detect, analyze, and recognize faces
Read Text in images and documents with the AI
Analyze video
Module 3: Develop natural language processing solutions with Azure AI Services
Analyze text with Azure AI Language
Create question answering solutions with Azure AI Language
Build a conversational language understanding model
Create a custom text classification solution
Custom named entity recognition
Translate text with Azure AI Translator service
Create speech-enabled apps with Azure AI services
Translate speech with the Azure AI Speech service
Module 4: Implement knowledge mining with Azure AI Search
Create an Azure AI Search solution
Create a custom skill for Azure AI Search
Create a knowledge store with Azure AI Search
Implement advanced search features in Azure AI Search
Search data outside the Azure platform in Azure AI
Maintain an Azure AI Search solution
Perform search re-ranking with semantic ranking in Azure AI Search
Perform vector search and retrieval in Azure AI Search
Module 5: Develop solutions with Azure AI Document Intelligence
Fundamentals of Azure AI Document Intelligence
Fundamentals of Knowledge Mining and Azure AI Search
Module 5: Develop solutions with Azure AI Document Intelligence
Plan an Azure AI Document Intelligence solution
Use prebuilt Document intelligence models
Extract data from forms with Azure Document intelligence
Create a composed Document intelligence model
Module 6: Develop Generative AI solutions with Azure OpenAI Service
Get started with Azure OpenAI Service
Build natural language solutions with Azure OpenAI Service
Apply prompt engineering with Azure OpenAI Service
Generate code with Azure OpenAI Service
Generate images with Azure OpenAI Service
Implement Retrieval Augmented Generation with Azure OpenAI Service
Hands-on Labs
Get Started with Cognitive Services
Manage Cognitive Services Security
Monitor Cognitive Services
Use a Cognitive Services Container
Analyze Text
Translate Text
Recognize and Synthesize Speech
Translate Speech
Create a Language Understanding App
Create a Language Understanding Client Application
Use the Speech and Language Understanding Services
Create a QnA Solution
Create a Bot with the Bot Framework SDK
Create a Bot with Bot Framework Composer
Analyze Images with Computer Vision
Analyze Video
Classify Images with Custom Vision
Detect Objects in Images with Custom Vision
Lab : Detect, Analyze, and Recognize Faces
Read Text in Images
Extract Data from Forms
Create an Azure Cognitive Search solution
Create a Custom Skill for Azure Cognitive Search
Create a Knowledge Store with Azure Cognitive Search
Best Value offer
Official Courseware
Instructor-led live online / Classroom
Flexible Schedule
Course Completion Certification
US$ 2650
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The AZ-900 is for beginners, so no prior Azure experience is required.
Prepare by attending instructor-led training and practicing in the Azure portal. Please direct your queries to info@infoventure.com
Yes, our expert instructor will help you from scratch, the course is designed in a way that you will get understanding of Azure Cloud.
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