Microsoft Course: Implement a data science and machine learning solution for AI in Microsoft Fabric
End-to-End AI Solutions: Master Data Science in Microsoft Fabric
- Design end-to-end AI solutions using Microsoft Fabric's integrated tools
- Clean and preprocess data efficiently with Data Wrangler
- Train, track, and manage models using MLflow and experiments
- Leverage notebooks for advanced data exploration and visualization
- Streamline collaboration across data teams in a unified platform
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for more advanced Microsoft certifications in AI
What you will learn
This 5-hour 27-minute course, "Implement Data Science & Machine Learning Solutions for AI in Microsoft Fabric," equips learners to master end-to-end AI workflows using Microsoft Fabric. Covering data exploration, preprocessing with Data Wrangler, model training with MLflow, and batch predictions, this training bridges theory and practice. Designed for data professionals, it offers hands-on exercises to build, manage, and deploy scalable machine learning models—all within Microsoft Fabric’s unified analytics platform.
Microsoft's Implement a data science and machine learning solution for AI in Microsoft Fabric course Outline
Learn the Implement a data science and machine learning solution for AI in Microsoft Fabric
"Implement Data Science & Machine Learning Solutions for AI in Microsoft Fabric" simplifies the entire process—from data prep to deployment. Learn to preprocess data with Data Wrangler, train models using MLflow, and automate predictions—all in one platform. Whether you're a data scientist or analyst, this 5.5-hour course offers actionable skills for real-world AI projects. Jumpstart your journey and turn raw data into actionable intelligence!
Start your journey today:
Course Structure Includes:
Module 1: Introduction to Microsoft Fabric (20 min)
- Platform overview, enterprise analytics, and team collaboration.
Module 2: Data Science Fundamentals (46 min)
- Data processing, model training, and hands-on exercises.
Module 3: Data Exploration with Notebooks (1 hr 27 min)
- Advanced techniques, visualization, and missing-data analysis.
Module 4: Preprocessing with Data Wrangler (1 hr 10 min)
- Clean data, handle missing values, and transform features.
Module 5: Model Training & MLflow (54 min)
- Track experiments, manage models, and notebook-based exercises.
Module 6: Batch Predictions (50 min)
- Customize scoring, prepare data, and save predictions.
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Learn to build, train, and deploy ML models in Microsoft Fabric. Master Data Wrangler, MLflow, and batch predictions.
Pre-requisites
Familiarity with basic data concepts and terminology.
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SPOTO's study resources provide comprehensive coverage of the exam syllabus, aligning with key topics like ML problem framing, data processing, model optimization, and pipeline automation. The materials include structured learning paths, practice exams, and real-world case studies that mirror the certification's focus on designing, implementing, and deploying machine learning solutions with Microsoft services and ML workflows. By leveraging SPOTO's targeted content, candidates can efficiently bridge knowledge gaps, reinforce practical skills, and gain familiarity with the exam format. This focused preparation increases confidence and readiness, particularly for complex tasks such as deploying CI/CD pipelines or optimizing model performance—areas emphasized in the certification. Combined with hands-on experience, SPOTO's resources offer a strategic advantage for achieving certification success.
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