What you will learn in the Advanced Analytics & AI Optimization with Microsoft Fabric 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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Implement prompt engineering techniques for large language models
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Understand transformer architectures and attention mechanisms
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Design algorithms that scale efficiently with increasing data
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Understand core AI concepts including neural networks and deep learning
Program Overview
Module 1: Foundations of Computing & Algorithms
Duration: ~2-3 hours
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Case study analysis with real-world examples
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Hands-on exercises applying foundations of computing & algorithms techniques
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Introduction to key concepts in foundations of computing & algorithms
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Assessment: Quiz and peer-reviewed assignment
Module 2: Neural Networks & Deep Learning
Duration: ~3-4 hours
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Guided project work with instructor feedback
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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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Introduction to key concepts in neural networks & deep learning
Module 3: AI System Design & Architecture
Duration: ~4 hours
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Interactive lab: Building practical solutions
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Guided project work with instructor feedback
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Case study analysis with real-world examples
Module 4: Natural Language Processing
Duration: ~3 hours
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Case study analysis with real-world examples
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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: ~2 hours
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Review of tools and frameworks commonly used in practice
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Case study analysis with real-world examples
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Guided project work with instructor feedback
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Introduction to key concepts in computer vision & pattern recognition
Module 6: Deployment & Production Systems
Duration: ~1-2 hours
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Assessment: Quiz and peer-reviewed assignment
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Guided project work with instructor feedback
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Case study analysis with real-world examples
Job Outlook
- Advanced analytics and AI integration skills are increasingly valuable as organizations adopt modern data platforms like Microsoft Fabric for unified data management and insights.
- Career opportunities include roles such as Data Analyst, Data Engineer, AI Specialist, and Business Intelligence Engineer, with global salaries ranging from $80K – $140K+ depending on experience and expertise.
- Employers seek professionals who can integrate AI into analytics workflows, optimize data pipelines, and build scalable data solutions.
- This course is ideal for data professionals, analysts, and engineers looking to enhance their skills in modern analytics platforms.
- AI-integrated analytics skills enable career growth in data engineering, business intelligence, and AI-driven decision-making roles.
- With the rise of unified data platforms and AI-powered analytics, demand for professionals with these skills continues to grow.
- Companies value candidates who can combine data analysis, automation, and AI tools to improve business performance.
- These skills also open opportunities for consulting, freelancing, and working on enterprise-level data systems.
