Microsoft Course: Experiment with Azure Machine Learning
Master Automated ML & Experiment Tracking with Azure
- Efficiently identify high-performing classification models using AutoML
- Reduce manual tuning time
- Master MLflow for experiment reproducibility
- Gain skills to deploy scalable ML solutions on Azure
- Improving collaboration through tracking of training runs and metrics
- Align with industry
- 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 hands-on course guides you through leveraging Azure Machine Learning to streamline model development. Discover how to automate classification model selection using AutoML (Python SDK v2) and implement effective experiment tracking with MLflow in Jupyter notebooks. Designed for data scientists, it combines automated workflows with practical notebook experimentation to optimize ML pipelines.
Microsoft's Experiment with Azure Machine Learning course Outline
Learn the Experiment with Azure Machine Learning
Ready to supercharge your machine learning workflow? This Azure Machine Learning course teaches you to automate model selection with AutoML and track experiments like a pro using MLflow. Perfect for data scientists, it blends concise modules with hands-on exercises—all in under 2 hours. Click here to learn how Azure can transform your ML projects from trial-and-error to precision-driven results.
Start your journey today:
Course Structure Includes:
Module 1: AutoML for Classification Models
- Topics: Data preprocessing, featurization, AutoML job configuration, model evaluation.
Module 2: MLflow in Jupyter Notebooks
- Topics: MLflow setup, training tracking, comparative analysis of model iterations.
Hands-on Exercises: 2 guided labs for practical implementation.
Assessments: Knowledge checks to reinforce key concepts.
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
Accelerate model development using Azure AutoML and MLflow. Learn to automate classification tasks and track experiments seamlessly in notebooks—ideal for data scientists optimizing ML workflows.
Pre-requisites
None
SPOTO Empowers You to Earn Your Certification.
Benefits of AWS Certified AI Practitioner Certification
Microsoft Certified: Azure AI Fundamentals (AI-900) is an entry-level certification designed to validate foundational knowledge of AI and machine learning concepts, including computer vision, natural language processing (NLP), generative AI, and responsible AI principles. Ideal for both technical and non-technical professionals, it requires no prior coding experience and offers free, flexible learning resources via Microsoft Learn. The certification enhances career prospects in high-demand roles like AI Engineer or Data Scientist, with potential salary increases up to 20%, while serving as a gateway to advanced Azure certifications (e.g., AI-102). Cost-effective and time-efficient (preparation in 10–30 hours), the exam focuses on real-world applications using Azure Cognitive Services, OpenAI APIs, and Azure Machine Learning. With permanent validity and global recognition across 90+ countries, it equips professionals to drive AI innovation in industries such as healthcare and finance. Start your AI journey with Microsoft Learn today!
Advantages of Using SPOTO's Exam Preparation Materials
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.
Online Learning Community
Click to join the online learning community and learn AI knowledge:
https://chat.whatsapp.com/Fc9f29Bd0SQAMeDThBFdpY