About This Course
The Azure AI Engineer course is designed for IT professionals and developers who want to build, deploy, and manage artificial intelligence solutions on Microsoft Azure. Participants will learn how to leverage Azure Cognitive Services, Machine Learning, Knowledge Mining, Natural Language Processing, Speech Services, Computer Vision, Bots, and Intelligent Edge solutions. Through practical exercises and real-world scenarios, learners will gain the skills required to architect, implement, secure, monitor, and optimize enterprise AI solutions in cloud, hybrid, and edge environments.
Artificial Intelligence Solutions
Design and implement AI-powered applications using Azure AI services and machine learning tools.
Cognitive Services
Build solutions using natural language processing, speech recognition, computer vision, and bots.
Cloud & Hybrid AI
Deploy AI workloads across cloud, hybrid, and intelligent edge environments using Azure technologies.
Security & Governance
Implement secure, compliant, and cost-effective AI solutions with monitoring and governance controls.
Course Curriculum
• Introduction to Azure AI
• Azure AI Engineer Role
• AI Solution Architecture
• Azure AI Services Overview
• AI Workloads and Use Cases
• Azure Storage Solutions
• Data Management Strategies
• Data Governance
• Data Preparation
• Storage Architecture Design
• Security Requirements Analysis
• Azure Security Services
• Identity Management
• Compliance and Privacy
• Secure AI Architectures
• Azure Cognitive Services
• Natural Language Processing
• Text Analytics
• Language Understanding
• Conversational AI
• Speech Services
• Speech Recognition
• Speech Synthesis
• Translation Services
• Voice-Enabled Applications
• Computer Vision
• Image Analysis
• Object Detection
• Face Recognition
• Vision-Based AI Solutions
• Azure Machine Learning
• Machine Learning Pipelines
• Model Training
• Model Deployment
• AI Workflow Orchestration
• Knowledge Mining
• Search Solutions
• Cognitive Search
• Data Enrichment
• Information Extraction
• Intelligent Edge Solutions
• Edge AI Deployment
• Hybrid AI Environments
• IoT Integration
• Edge Device Management
• Azure Compute Infrastructure
• Cloud Resource Provisioning
• AI Service Integration
• Third-Party Service Integration
• Infrastructure Optimization
• Monitoring AI Solutions
• Performance Evaluation
• Logging and Diagnostics
• Troubleshooting AI Workloads
• Cost Optimization
• Data Privacy Requirements
• Security Validation
• Compliance Verification
• Solution Review
• Best Practices for Azure AI
Skills You'll Gain
Develop practical skills that can be applied immediately in real-world trading scenarios.
Registration & Pricing
Everything you need to know before enrolling.
Feedback

Course Features
- Lectures 0
- Quizzes 0
- Duration 45 hours
- Skill level All levels
- Language English
- Students 10
- Assessments Yes







