About This Course
Course Overview
The Microsoft Certified: Azure AI Engineer Associate course is designed for professionals who are eager to build and implement AI solutions leveraging the power of Microsoft Azure. This course focuses on designing, managing, and deploying AI-driven solutions that can address real-world business challenges. It aligns with the AI-102: Designing and Implementing a Microsoft Azure AI Solution exam.
Key Learning Objectives
- Design AI Solutions: Learn to design end-to-end AI solutions that integrate Azure Cognitive Services, Machine Learning, and other Azure AI tools.
- Implement and Monitor: Gain hands-on experience in deploying AI models, integrating them with applications, and monitoring their performance.
- Security and Compliance: Understand the best practices for securing AI solutions and ensuring compliance with data governance policies.
- Optimize AI Workloads: Explore strategies to optimize performance and cost while ensuring robust AI operations on Azure.
Exam Domains and Content
The course is structured around the exam domains for the AI-102 exam, ensuring that students cover all critical areas. Key domains include:
-
Analyzing Solution Requirements
- Understanding business requirements and translating them into AI solution designs.
- Evaluating solution constraints and integration considerations.
-
Designing AI Solutions
- Architecting AI solutions using Azure Cognitive Services, Bot Services, and machine learning tools.
- Incorporating responsible AI principles and ethical guidelines into solution design.
-
Integrating AI Models into Solutions
- Deploying, managing, and consuming AI models using Azure Machine Learning.
- Integrating pre-built AI services and custom models into end-user applications.
-
Deploying and Maintaining AI Solutions
- Managing the lifecycle of AI solutions including deployment, scaling, and monitoring.
- Implementing security best practices and ensuring data privacy compliance.
Learning Objectives
Upon completion of the course, students will be able to:
Confidently design and implement AI solutions that align with business needs.
Leverage Azure AI services to integrate advanced machine learning models into production environments.
Prepare for and pass the AI-102 exam, earning the Microsoft Certified: Azure AI Engineer Associate credential.
Apply best practices in security, compliance, and maintenance of AI solutions.
Material Includes
- Hands-on Labs: Practical exercises using the Azure portal and associated AI tools.
- Exam Preparation Materials: Practice tests, study guides, and expert tips for the AI-102 exam.
- Community Forums: Connect with peers and instructors to share insights and solve challenges.
Target Audience
- This course is ideal for:
- AI Engineers looking to deepen their expertise in Azure AI technologies.
- Developers and Data Scientists who want to implement intelligent solutions.
- IT Professionals aiming to enhance their skills in cloud-based AI services.
- Technical Leaders responsible for designing and deploying AI initiatives.
Curriculum
15 Lessons
Introduction to Azure AI
Overview of Azure AI services and solution architecture.00:00
Key concepts and benefits of AI in cloud environments.00:00
Understanding the AI-102 Exam
Module 1: Analyzing Business Requirements
Module 2: Designing AI Solutions
Module 3: Implementing AI Models
Module 4: Monitoring and Maintenance
Module 5: Best Practices and Compliance
Your Instructors
US$1,500.00
Material Includes
- Hands-on Labs: Practical exercises using the Azure portal and associated AI tools.
- Exam Preparation Materials: Practice tests, study guides, and expert tips for the AI-102 exam.
- Community Forums: Connect with peers and instructors to share insights and solve challenges.
IBM AI Engineering Professional Certificate
US$1,500.00
AWS Certified AI Practitioner
US$1,500.00
Comprehensive Data Engineering Mastery Program
US$1,000.00
