Advanced Analytics & AI Optimization with Microsoft Fabric Course Syllabus

Overview: This course provides a comprehensive deep dive into advanced analytics and AI optimization using Microsoft Fabric, designed for experienced data professionals. Over approximately 4.57 weeks with 6 hours of study per week, learners will gain hands-on experience building intelligent data solutions, designing scalable AI systems, and leveraging Power BI for high-performance analytics. The curriculum blends theoretical foundations with practical labs and real-world case studies, culminating in a final project that demonstrates mastery of the platform. Modules are self-paced with flexible deadlines, featuring quizzes, peer-reviewed assignments, and guided project work to reinforce learning.

Module 1: Foundations of Computing & Algorithms

Estimated time: 2-3 hours

• Introduction to key concepts in foundations of computing & algorithms
• Case study analysis with real-world examples
• Hands-on exercises applying foundations of computing & algorithms techniques
• Assessment: Quiz and peer-reviewed assignment

Module 2: Neural Networks & Deep Learning

Estimated time: 3-4 hours

• Introduction to key concepts in neural networks & deep learning
• Hands-on exercises applying neural networks & deep learning techniques
• Guided project work with instructor feedback
• Assessment: Quiz and peer-reviewed assignment

Module 3: AI System Design & Architecture

Estimated time: 4 hours

• Case study analysis with real-world examples
• Interactive lab: Building practical solutions
• Guided project work with instructor feedback

Module 4: Natural Language Processing

Estimated time: 3 hours

• Hands-on exercises applying natural language processing techniques
• Discussion of best practices and industry standards
• Case study analysis with real-world examples
• Assessment: Quiz and peer-reviewed assignment

Module 5: Computer Vision & Pattern Recognition

Estimated time: 2 hours

• Introduction to key concepts in computer vision & pattern recognition
• Case study analysis with real-world examples
• Review of tools and frameworks commonly used in practice
• Guided project work with instructor feedback

Module 6: Deployment & Production Systems

Estimated time: 1-2 hours

• Case study analysis with real-world examples
• Guided project work with instructor feedback
• Assessment: Quiz and peer-reviewed assignment

Prerequisites

• Proficiency in data analysis and SQL
• Familiarity with Power BI and cloud-based data platforms
• Experience with Python and machine learning concepts

What You'll Be Able to Do After

• Build robust semantic models in Power BI using Microsoft Fabric
• Implement DirectLake mode for high-speed, real-time analytics
• Design and deploy scalable AI systems using modern frameworks
• Apply prompt engineering and transformer-based models in NLP tasks
• Integrate AI into analytics workflows for intelligent decision-making