AI-102T00 Develop AI solutions in Azure

ابنِ حلول الذكاء الاصطناعي على Azure. خلال خمسة أيام تنشر النماذج من كتالوج Azure AI Foundry

5 أياممتوسط37 وحدةAI-102T00Microsoft Certified: Azure AI Engineer Associate

نظرة عامة

ابنِ حلول الذكاء الاصطناعي على Azure. خلال خمسة أيام تنشر النماذج من كتالوج Azure AI Foundry، وتطوّر تطبيقات الذكاء الاصطناعي التوليدي بحزمة التطوير وprompt flow، وتؤسّسها على بياناتك بتقنية RAG، وتضبط النماذج بدقة وتقيّمها بمسؤولية، وتبني حلولاً بوكيل واحد أو بعدة وكلاء عبر Foundry Agent Service وSemantic Kernel، استعداداً لامتحان AI-102.

المنهاج

المحتوى التقني أدناه معروضٌ باللغة الإنجليزية كما ورد في منهاج الدورة، حفاظاً على دقّة المصطلحات.

37 وحدة

What is AI?
Azure AI services
Azure AI Foundry
Developer tools and SDKs
Responsible AI
Module assessment

Explore the model catalog
Deploy a model to an endpoint
Optimize model performance
Module assessment

What is the Azure AI Foundry SDK?
Work with project connections
Create a chat client
Module assessment

Understand the development lifecycle of a large language model (LLM) app
Understand core components and explore flow types
Explore connections and runtimes
Explore variants and monitoring options
Module assessment

Understand how to ground your language model
Make your data searchable
Create a RAG-based client application
Implement RAG in a prompt flow
Module assessment

Understand when to fine-tune a language model
Prepare your data to fine-tune a chat completion model
Explore fine-tuning language models in Azure AI Foundry portal
Module assessment

Plan a responsible generative AI solution
Map potential harms
Measure potential harms
Mitigate potential harms
Manage a responsible generative AI solution
Module assessment

Assess the model performance
Manually evaluate the performance of a model
Automated evaluations
Module assessment

What are AI agents?
Options for agent development
Azure AI Foundry Agent Service
Module assessment

What is an AI agent
How to use Azure AI Foundry Agent Service
Develop agents with the Azure AI Foundry Agent Service
Module assessment

Why use custom tools
Options for implementing custom tools
How to integrate custom tools
Module assessment

Understand Semantic Kernel AI agents
Create an Azure AI agent with Semantic Kernel
Add plugins to Azure AI agent

Understand the Semantic Kernel Agent Framework
Create an agent group chat
Design an agent selection strategy
Define a chat termination strategy

Understand connected agents
Design a multi-agent solution with connected agents
Module assessment

Understand MCP tool discovery
Integrate agent tools using an MCP server and client
Module assessment

Provision an Azure AI Language resource
Detect language
Extract key phrases
Analyze sentiment
Extract entities
Extract linked entities
Module assessment

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 assessment

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 assessment

Understand types of classification projects
Understand how to build text classification projects
Module assessment

Understand custom named entity recognition
Label your data
Train and evaluate your model
Module assessment

Provision an Azure AI Translator resource
Specify translation options
Define custom translations
Module assessment

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 assessment

Provision an Azure resource for speech translation
Translate speech to text
Synthesize translations
Module assessment

Deploy a multimodal model
Develop an audio-based chat app
Module assessment

Provision an Azure AI Vision resource
Analyze an image
Module assessment

Explore Azure AI options for reading text
Read text with Azure AI Vision Image Analysis
Module assessment

Plan a face detection, analysis, or recognition solution
Detect and analyze faces
Verify and identify faces
Responsible AI considerations for face-based solutions
Module assessment

Azure AI Custom Vision
Train an image classification model
Create an image classification client application
Module assessment

Use Azure AI Custom Vision for object detection
Train an object detector
Develop an object detection client application
Module assessment

Understand Azure Video Indexer capabilities
Extract custom insights
Use Video Analyzer widgets and APIs
Module assessment

Deploy a multimodal model
Develop a vision-based chat app
Module assessment

What are image-generation models?
Explore image-generation models in Azure AI Foundry portal
Create a client application that uses an image generation model
Module assessment

What is Azure AI Content Understanding?
Create a Content Understanding analyzer
Use the Content Understanding REST API
Module assessment

Prepare to use the AI Content Understanding REST API
Create a Content Understanding analyzer
Analyze content
Module assessment

Understand prebuilt models
Use the General Document, Read, and Layout models
Use financial, ID, and tax models
Module assessment

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 assessment

What is Azure AI Search?
Extract data with an indexer
Enrich extracted data with AI skills
Search an index
Persist extracted information in a knowledge store
Module assessment

لمن هذه الدورة

المطوّرون الذين يبنون تطبيقات مدعومة بالذكاء الاصطناعي على Azure.

قبل أن تبدأ

Knowledge of Microsoft Azure and ability to navigate the Azure portal
Knowledge of either C# or Python
Familiarity with JSON and REST programming semantics Recommended course prerequisites
AI-900T00: Microsoft Azure AI Fundamentals course

الشهادة