Microsoft Certified: Azure AI Engineer Associate Training
Overview
The Microsoft Certified: Azure AI Engineer Associate Training equips you with practical skills to build, manage, and deploy AI solutions using Azure services, preparing you to pass the Azure AI Engineer Associate (Exam AI-102) certification and excel in real-world AI engineering projects.
What is Azure AI Engineer Associate Certification?
This Microsoft certification validates your ability to use Azure AI services like cognitive services, Azure Machine Learning, and knowledge mining to build, manage, and deploy AI solutions in production environments.
Why Choose Azure AI Engineer Associate Certification?
- Globally recognized certification from Microsoft
- Demonstrates your capability in designing and implementing AI solutions on Azure
- Enhances credibility for AI engineering and applied ML roles
- Helps you advance in cloud-based AI solution careers
Azure AI Engineer Exam Details:
- Exam Code: AI-102
- 40–60 multiple-choice and case study questions
- Duration: 120 minutes
- Covers designing, building, managing, and deploying AI solutions on Azure
Additional Benefits:
- Hands-on labs for practical Azure AI experience
- Scenario-based practice questions for real-world alignment
- Builds your skills for in-demand AI roles across industries
Certificate
Features
- Fully aligned with Microsoft Azure AI Engineer Associate (AI-102) exam objectives
- Hands-on labs for building and deploying AI models on Azure
- Practice quizzes and mock exams for confidence-building
- Practice quizzes and mock exams for confidence-building
- Lifetime access to course materials (if online)
- Certificate of completion for your professional record
- Delivered by Azure-certified AI engineers with industry experience
Target audiences
- Data scientists and AI developers transitioning to Azure AI engineering
- Data scientists and AI developers transitioning to Azure AI engineering
- IT professionals aiming to implement AI in cloud environments
- Individuals seeking to advance in AI, ML, and cloud-based automation careers
Requirements
- Basic knowledge of Microsoft Azure services
- Familiarity with Python or a similar programming language
- Interest in AI engineering and machine learning principles
Curriculum
- 8 Sections
- 18 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Plan and Manage Azure AI Solutions2
- Implement Computer Vision Solutions2
- Implement Natural Language Processing (NLP) Solutions2
- Implement Conversational AI Solutions2
- Integrate AI Models into Solutions2
- Monitor, Optimize, and Maintain AI Solutions2
- Exam Preparation3
- Practical Applications3
FAQs
It is a Microsoft certification validating your ability to design, build, manage, and deploy AI solutions using Azure AI services.
Basic familiarity with Azure services and AI/ML concepts is helpful, but you can learn these within your preparation for the certification.
Typically, 2–3 months of structured preparation with hands-on practice is recommended for effective exam readiness.
Yes, the course includes practical labs to build, deploy, and manage AI models using Azure services.
Yes, this training is fully aligned with the latest Microsoft AI-102 exam objectives and Azure AI service updates, ensuring up-to-date preparation.
Instructor
