AI-102 Designing and Implementing a Microsoft Azure AI Solution
- Duration: 40 Hours
- Exam Voucher: Yes
- Language: English
- Course Delivery : E - Learning Access
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Course Overview
The AI-102 Designing and Implementing a Microsoft Azure AI Solution training course prepares professionals to build intelligent applications using Azure AI services. The course focuses on designing, implementing, and managing AI solutions that integrate capabilities such as natural language processing, computer vision, conversational AI, and knowledge mining.
Learners gain practical experience working with Azure’s AI tools and services to create solutions that can analyse text, process images, build chatbots, and extract insights from large volumes of data. The course emphasises real-world implementation, enabling participants to design AI-driven applications that align with business needs and modern cloud architectures.
The training is typically delivered as a short intensive program, while self-paced learners can complete the course over a flexible timeline depending on their schedule.
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Course Details
- Understand how to design AI solutions using Microsoft Azure AI services
- Build intelligent applications capable of analysing text, images, and speech
- Develop conversational AI solutions such as chatbots and virtual assistants
- Integrate AI capabilities into existing applications and business workflows
- Learn deployment, monitoring, and optimisation techniques for Azure AI solutions
- Prepare effectively for the Microsoft AI-102 certification exam
- Open to software engineers, AI developers, and cloud professionals
- Recommended proficiency in Azure fundamentals and cloud basics
- Familiarity with programming languages such as C# or Python
- Knowledge of REST APIs and SDK usage beneficial
- Digital learning platform access required
- Recommended: prior exposure to AI fundamentals such as AI-900
- Design and implement AI solutions using Azure AI services
- Integrate natural language processing, speech, and computer vision capabilities into applications
- Develop conversational AI solutions using Azure AI services and bot frameworks
- Build knowledge mining solutions that extract insights from structured and unstructured data
- Deploy, monitor, and optimise AI services in Azure environments
- Apply best practices for building scalable and secure AI-driven applications
- AI Strategy & Solution Planning: Define requirements and design patterns
- Computer Vision Solutions: Image analysis, OCR, custom models
- Natural Language Processing: Language understanding, text analytics
- Generative AI & OpenAI Services: LLMs, conversational AI, content generation
- AI Agents & Integration: Intelligent agents and automated workflows
- Secure Deployment & Monitoring: Scalability, security, logging
- Certification Readiness: Exam objectives, test strategies, practice exercises
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