What you will learn in the AI 102 Microsoft Azure AI Engineer Associate Course
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Apply computational thinking to solve complex engineering problems
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Implement intelligent systems using modern frameworks and libraries
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Understand core AI concepts including neural networks and deep learning
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Evaluate model performance using appropriate metrics and benchmarks
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Implement prompt engineering techniques for large language models
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Design algorithms that scale efficiently with increasing data
Program Overview
Module 1: Foundations of Computing & Algorithms
Duration: ~3-4 hours
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Introduction to key concepts in foundations of computing & algorithms
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Guided project work with instructor feedback
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Interactive lab: Building practical solutions
Module 2: Neural Networks & Deep Learning
Duration: ~2-3 hours
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Hands-on exercises applying neural networks & deep learning techniques
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Assessment: Quiz and peer-reviewed assignment
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Interactive lab: Building practical solutions
Module 3: AI System Design & Architecture
Duration: ~4 hours
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Assessment: Quiz and peer-reviewed assignment
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Case study analysis with real-world examples
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Introduction to key concepts in ai system design & architecture
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Hands-on exercises applying ai system design & architecture techniques
Module 4: Natural Language Processing
Duration: ~1-2 hours
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Guided project work with instructor feedback
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Discussion of best practices and industry standards
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Hands-on exercises applying natural language processing techniques
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Assessment: Quiz and peer-reviewed assignment
Module 5: Computer Vision & Pattern Recognition
Duration: ~3 hours
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Case study analysis with real-world examples
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Review of tools and frameworks commonly used in practice
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Guided project work with instructor feedback
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Hands-on exercises applying computer vision & pattern recognition techniques
Module 6: Deployment & Production Systems
Duration: ~2 hours
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Introduction to key concepts in deployment & production systems
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Review of tools and frameworks commonly used in practice
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Discussion of best practices and industry standards
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Assessment: Quiz and peer-reviewed assignment
Job Outlook
- The demand for advanced AI and cloud professionals is rapidly increasing as organizations deploy AI solutions on platforms like Microsoft Azure.
- Diverse career opportunities including roles such as AI Engineer, Azure AI Engineer, and Cloud Solutions Architect, with salaries ranging from $90K – $160K+ globally depending on experience and expertise.
- Strong demand for professionals who can build, deploy, and manage AI applications using Azure AI services, including cognitive services and machine learning APIs.
- Employers highly value certifications like Microsoft Azure AI Engineer Associate (AI-102) for mid-level and advanced AI roles.
- Ideal for developers, data scientists, and cloud professionals aiming to specialize in AI engineering.
- AI engineering skills support career growth in enterprise AI, cloud architecture, and intelligent application development.
- Increasing enterprise adoption of AI solutions continues to drive demand for certified Azure AI engineers.
- These skills also open doors to consulting, enterprise IT, and large-scale AI system deployment.
