Course Outline

Boost Microsoft Expertise

Azure AI Engineer Associate Training Course

Rating

9/10

Duration

4 Days

Course Overview

This course is designed for professionals who want to build and deploy AI-powered applications using Microsoft Azure. It covers a wide range of Azure AI services including natural language processing (NLP), computer vision, and conversational AI. Participants will gain hands-on experience with Azure Cognitive Services, Azure Machine Learning, and other integrated tools to architect, train, and operationalize AI models in a cloud environment.

Format of Training

  • Instructor-led training with real-world Azure AI use cases
  • Hands-on labs using Azure AI Studio and Cognitive Services
  • Live project scenarios and deployment simulations
  • Certification-focused guidance and practice

Course Objectives

  1. Design AI solutions using Azure AI services and architecture
  2. Implement natural language processing with Azure Language Services
  3. Build and deploy computer vision solutions using prebuilt and custom models
  4. Develop intelligent chatbots using Azure Bot Services and Azure OpenAI
  5. Train and manage models using Azure Machine Learning
  6. Deploy, monitor, and maintain AI solutions in production environments
  7. Prepare for the Microsoft Certified: Azure AI Engineer Associate exam

Prerequisites

Course Outline

Day 1: Introduction to Azure AI and Cognitive Services
Session 1: Overview of Azure AI Capabilities

  • Introduction to Azure AI tools and architecture

  • Use cases and solution design

Session 2: Cognitive Services for Vision and Language

  • Using prebuilt models (OCR, Face API, Language Detection)

  • Custom vision and language model training

Day 2: Natural Language Processing and Text Analytics
Session 1: Language Understanding and Text Mining

  • Azure Language Services

  • Sentiment analysis, key phrase extraction, entity recognition

Session 2: Conversational AI with Azure Bot Services

  • Designing and building chatbots

  • Integrating with LUIS and Azure OpenAI

Day 3: Azure Machine Learning for Model Development
Session 1: Azure ML Workspace and Pipelines

  • Data ingestion, labeling, and training

  • Experiment tracking and compute management

Session 2: Custom Model Training and Evaluation

  • Scikit-learn, PyTorch, TensorFlow in Azure ML

  • AutoML and responsible AI practices

Day 4: Deployment and Monitoring of AI Solutions
Session 1: Operationalizing AI Models in Azure

  • Model registration and deployment endpoints

  • Versioning and lifecycle management

Session 2: Monitoring, Scaling, and Cost Optimization

  • Logging, metrics, and performance tuning

  • Scaling across regions and optimizing inference costs

Bespoke Option

We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.

Further Learning Opportunities

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Azure Solutions Architect Expert

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Azure AI Engineer Associate Training Course

Course Name: Azure AI Engineer Associate Training Course

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