الذكاء الاصطناعي باستخدام Microsoft Azure

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الذكاء الاصطناعي باستخدام Microsoft Azure

Course Category : Digital Transformation

Develop practical expertise in Microsoft Azure AI services to design, deploy, and govern enterprise-grade AI solutions using Microsoft's intelligent cloud platform.
Duration: 5 Days
Level: Advanced

Introduction

Cloud-based artificial intelligence has transformed how modern organisations build intelligent applications. Microsoft Azure provides an integrated ecosystem of AI services that enables scalable, secure, and enterprise-ready solutions across multiple industries.
This course introduces Azure AI services from both strategic and technical perspectives, covering generative AI, computer vision, natural language processing, speech services, AI governance, security, and responsible deployment practices to support successful enterprise AI initiatives..

Targeted Audience

  • IT Managers
  • Cloud Solution Architects
  • Application Developers
  • Data Engineers
  • AI Engineers
  • Digital Transformation Leaders
  • Innovation Managers
  • Cybersecurity Professionals
  • Data Analysts
  • Technical Leaders

Targeted Skills

  • Azure AI Services
  • Cloud AI Architecture
  • Azure AI Foundry
  • AI Model Management
  • Generative AI
  • Computer Vision
  • Natural Language Processing
  • Speech AI
  • AI Governance
  • AI Performance Evaluation

Expected Outcomes

  • Understand the Microsoft Azure AI ecosystem.
  • Select the appropriate Azure AI service for business scenarios.
  • Design scalable AI cloud solutions.
  • Integrate Azure AI into enterprise applications.
  • Apply AI governance and security best practices.
  • Evaluate and optimise AI solution performance.

Training Topics Index

  • Microsoft Azure AI Platform
  • Core Azure AI Services
  • AI Cloud Architecture
  • Enterprise Use Cases
  • Design Best Practices

  • Azure AI Foundry
  • Azure OpenAI Service
  • Azure AI Vision
  • Azure AI Language
  • Azure AI Speech

  • Intelligent Application Design
  • API Integration
  • Model Management
  • Performance Monitoring
  • Solution Optimisation

  • Data Protection
  • Identity and Access Management
  • Responsible AI
  • Regulatory Compliance
  • Risk Management

  • Generative AI
  • AI Agents
  • Intelligent Automation
  • Microsoft Copilot Integration
  • Future AI Trends

Course Features

  • Updated and Interactive Content
  • Hypothetical Examples and Case Studies
  • Pre- and Post-assessments to Measure Impact
  • Verified Certificate with a QR Verification Code