Microsoft 
AWS 
EC-Council 
CompTIA 
PECB 
Artificial Intelligence 
Python ProgrammingAI-102: Designing and Implementing a Microsoft Azure AI Solution
Learn new skills and discover the power of Microsoft Azure 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: Plan and prepare to develop AI solutions on Azure
Fundamental AI Concepts
Fundamentals of machine learning
Fundamentals of Azure AI services
Azure AI services
Azure AI Foundry
Developer tools and SDKs
Responsible AI
Module 2: Create and consume Azure AI services
Provision an Azure AI services resource
Identify endpoints and keys
Use a REST API
Use an SDK
Module 3: Secure Azure AI services
Consider authentication
Implement network security
Module 4: Monitor Azure AI services
Monitor cost
Create alerts
View metrics
Manage diagnostic logging
Module 5: Deploy Azure AI services in containers
Understand containers
Use Azure AI services containers
Module 6: Use AI responsibly with Azure AI Content Safety
What is Content Safety
How does Azure AI Content Safety work?
When to use Azure AI Content Safety
Module 7: Analyze images
Provision an Azure AI Vision resource
Analyze an image
Generate a smart-cropped thumbnail and remove background
Module 8: Image classification with custom Azure AI Vision models
Understand custom model types
Create a custom project
Label and train a custom model
Module 9: Classify images
Provision Azure resources for Azure AI Custom Vision
Understand image classification
Train an image classifier
Module 10: Detect objects in images
Understand object detection
Train an object detector
Consider options for labeling images
Module 11: Detect, analyze, and recognize faces
Identify options for face detection analysis and identification
Understand considerations for face analysis
Detect faces with the Azure AI Vision service
Understand capabilities of the face service
Compare and match detected faces
Implement facial recognition
Module 12: Read Text in images and documents with the Azure AI Vision Service
Explore Azure AI Vision options for reading text
Use the Read API
Module 13: Analyze video
Understand Azure Video Indexer capabilities
Extract custom insights
Use Video Analyzer widgets and APIs
Module 14: Analyze text with Azure AI Language
Provision an Azure AI Language resource
Detect language
Extract key phrases
Analyze sentiment
Extract entities
Extract linked entities
Module 15: Create question answering solutions with Azure AI Language
Understand question answering
Compare question answering to Azure AI Language understanding
Create a knowledge base
Implement multi-turn conversation
Test and publish a knowledge base
Use a knowledge base
Improve question answering performance
Module 16: Build a conversational language understanding model
Understand prebuilt capabilities of the Azure AI Language service
Understand resources for building a conversational language understanding model
Define intents, utterances, and entities
Use patterns to differentiate similar utterances
Use pre-built entity components
Train, test, publish, and review a conversational language understanding model
Module 17: Create a custom text classification solution
Understand types of classification projects
Understand how to build text classification projects
Module 18: Custom named entity recognition
Understand custom named entity recognition
Label your data
Train and evaluate your model
Module 19: Translate text with Azure AI Translator service
Provision an Azure AI Translator resource
Specify translation options
Define custom translations
Module 20: Create speech-enabled apps with Azure AI services
Provision an Azure resource for speech
Use the Azure AI Speech to Text API
Use the text to speech API
Configure audio format and voices
Use Speech Synthesis Markup Language
Module 21: Translate speech with the Azure AI Speech service
Provision an Azure resource for speech translation
Translate speech to text
Synthesize translations
Module 22: Create an Azure AI Search solution
Manage capacity
Understand search components
Understand the indexing process
Search an index
Apply filtering and sorting
Enhance the index
Module 23: Create a custom skill for Azure AI Search
Define the custom skill schema
Add a custom skill
Custom text classification skill
Machine learning custom skill
Module 24: Create a knowledge store with Azure AI Search
Define projections
Define a knowledge store
Module 25: Implement advanced search features in Azure AI Search
Improve the ranking of a document with term boosting
Improve the relevance of results by adding scoring profiles
Improve an index with analyzers and tokenized terms
Enhance an index to include multiple languages
Improve search experience by ordering results by distance from a given reference point
Module 26: Search data outside the Azure platform in Azure AI Search using Azure Data Factory
Index data from external data sources using Azure Data Factory
Index any data using the Azure AI Search push API
Module 27: Maintain an Azure AI Search solution
Manage security of an Azure AI Search solution
Optimize performance of an Azure AI Search solution
Manage costs of an Azure AI Search solution
Improve reliability of an Azure AI Search solution
Monitor an Azure AI Search solution
Debug search issues using the Azure portal
Module 28: Perform search reranking with semantic ranking in Azure AI Search
What is semantic ranking?
Set up semantic ranking
Module 29: Perform vector search and retrieval in Azure AI Search
What is vector search?
Prepare your search
Understand embedding
Module 30: Plan an Azure AI Document Intelligence solution
Understand AI Document Intelligence
Plan Azure AI Document Intelligence resources
Choose a model type
Module 31: Use prebuilt Document intelligence models
Understand prebuilt models
Use the General Document, Read, and Layout models
Use financial, ID, and tax models
Module 32: Extract data from forms with Azure Document intelligence
What is Azure Document Intelligence?
Get started with Azure Document Intelligence
Train custom models
Use Azure Document Intelligence models
Use the Azure Document Intelligence Studio
Module 33: Create a composed Document intelligence model
Understand composed models
Assemble composed models
Module 34: Get started with Azure OpenAI Service
Access Azure OpenAI Service
Use Azure AI Studio
Explore types of generative AI models
Deploy generative AI models
Use prompts to get completions from models
Test models in Azure AI Studio's playground
Module 35: Build natural language solutions with Azure OpenAI Service
Integrate Azure OpenAI into your app
Use Azure OpenAI REST API
Use Azure OpenAI SDK
Module 36: Apply prompt engineering with Azure OpenAI Service
Understand prompt engineering
Write more effective prompts
Provide context to improve accuracy
Module 37: Develop applications with Azure OpenAI Service
Access Azure OpenAI Service
Integrate OpenAI into an app
OpenAI prompt engineering
Provide context with prompt engineering
Construct code from natural language
Module 38: Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
Understand Retrieval Augmented Generation (RAG) with Azure OpenAI Service
Add your own data source
Chat with your model using your own data
Module 39: Generate images with Azure OpenAI Service
What is DALL-E?
Explore DALL-E in Azure AI Studio
Use the Azure OpenAI REST API to consume DALL-E models
Hands-on Labs
Lab : Get Started with Cognitive Services
Lab : Manage Cognitive Services Security
Lab : Monitor Cognitive Services
Lab : Use a Cognitive Services Container
Lab : Analyze Text
Lab : Translate Text
Lab : Recognize and Synthesize Speech
Lab : Translate Speech
Lab : Create a Language Understanding App
Lab : Create a Language Understanding Client Application
Lab : Use the Speech and Language Understanding Services
Lab : Create a QnA Solution
Lab : Create a Bot with the Bot Framework SDK
Lab : Create a Bot with Bot Framework Composer
Lab : Analyze Images with Computer Vision
Lab : Analyze Video
Lab : Classify Images with Custom Vision
Lab : Detect Objects in Images with Custom Vision
Lab : Detect, Analyze, and Recognize Faces
Lab : Read Text in Images
Lab : Extract Data from Forms
Lab : Create an Azure Cognitive Search solution
Lab : Create a Custom Skill for Azure Cognitive Search
Lab : Create a Knowledge Store with Azure Cognitive Search
Best Value offer
Official Courseware
Instructor-led live online / Classroom
Flexible Schedule
Course Completion Certification
US$ 1950
Still Have Questions?
We’re Here to Assist You
1 day
Fundamental
4 days
Intermediate
Some courses may require basic knowledge of IT infrastructure. Check the specific course details for prerequisites.
Yes, our expert instructor will help you from scratch, the course is designed in a way that you will get understanding of Cloud.
Sure, we would happy to assist you. Please direct your queries to info@infoventure.com
AWS Authorized Partner
Microsoft Authorized Partner
CompTIA Authorized Partner
EC-Council Authorized Partner
PECB Authorized Partner
Newsletter
Technology moves fast. Make sure you are up to speed with IT Trainings.
All rights reserved. © 2016 - 2025 - Infoventure Technologies Inc.
The expert in anything was once a beginner.
—Helen Hayes
Fill the Form
We HATE spam. Your email will never be shared
Preferred class : "Learning should never be limited by financial constraints. There are always ways to access education and gain knowledge, no matter your financial situation."
Save more,Learn more.
Take advantage of these opportunities and don't let financial constraints limit your education."
AWS Official Courseware
AWS Authorized Instructor
Course Completion Certification
We HATE spam. Your email address is 100% secure
Self paced Digital Training
After submitting, review your inbox and junk mail.