AI-102T00-A: Develop AI solutions in Azure

The Develop AI Solutions in Azure (AI-102) course is an advanced, role-based training programme designed for professionals who want to design, build, deploy, and manage AI-powered solutions using Microsoft Azure. This course focuses on translating artificial intelligence concepts into production-ready applications that are scalable, secure, and aligned with business objectives.

Participants will gain in-depth knowledge of Azure AI services, including Azure AI Foundry, Azure OpenAI, Cognitive Services, Azure Machine Learning, and search solutions. The course emphasises real-world implementation of AI workloads such as natural language processing, computer vision, conversational AI, document intelligence, and generative AI applications.

Beyond development, the course addresses solution architecture, integration, performance optimisation, security, monitoring, and responsible AI practices. Learners will work with modern DevOps-aligned workflows to improve transparency, collaboration, and lifecycle management of AI solutions in enterprise environments. This training is fully aligned with the Microsoft Azure AI Engineer Associate (AI-102) certification.

Develop AI Solutions in Azure – Training Outcomes:

This training equips professionals with the skills required to design, develop, and deploy production-ready AI solutions on Microsoft Azure. Upon successful completion of the course, participants will be able to:

• Architect, build, and deploy AI-powered applications using Azure AI Foundry, following best practices for scalability, security, and performance.
• Design and implement generative AI solutions leveraging large language models (LLMs) to extend application functionality and enhance user experiences.
• Develop and manage AI agents to automate complex tasks, workflows, and decision-making processes in enterprise environments.
• Implement natural language processing (NLP) solutions for real-world use cases such as text analysis, language understanding, and conversational interfaces.
• Build and integrate computer vision capabilities to enable image analysis, object detection, and visual intelligence within applications.
• Apply information extraction techniques to process, analyse, and structure unstructured data, enabling actionable insights and intelligent automation.

Training Prerequisites:

If you are new to artificial intelligence and want an overview of AI capabilities on Azure, consider completing Introduction to AI in Azure (AI-900) before taking this one. You should already have:

• Knowledge of Microsoft Azure and the ability to navigate the Azure portal
• Knowledge of either C# or Python
• Familiarity with JSON and REST programming semantics

Certification Information

This course can help you prepare for the following Microsoft role-based certification exam: Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.