Microsoft Course: Create machine learning models
Build, Train, Deploy: Master Machine Learning Models
- Build regression, classification, clustering, and deep learning models
- Master tools like scikit-learn, TensorFlow, and PyTorch for real applications
- Analyze and visualize data using Python libraries
- Optimize models with hyperparameter tuning and transfer learning
- Gain a strong foundation for deep learning and neural networks
- 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 20-minute course, "Create Machine Learning Models," offers a hands-on introduction to building and evaluating machine learning models using industry-standard tools like scikit-learn, TensorFlow, and PyTorch. Designed for learners with basic mathematical or coding familiarity, the course covers regression, classification, clustering, and deep learning. Interactive Jupyter notebooks and real-world exercises guide you through data exploration, model training, and optimization—all within your browser. Ideal for those aiming to apply ML in Azure ML or Azure Databricks, this path balances foundational concepts with practical tool mastery.
Microsoft's Create machine learning models course Outline
Learn the Create machine learning models
Ready to dive into machine learning but unsure where to start? Microsoft's "Create Machine Learning Models" course offers a streamlined path to mastering core techniques—from regression to deep learning. With interactive Jupyter notebooks and zero setup required, you'll explore data, train models, and deploy solutions using tools like TensorFlow and PyTorch. Perfect for coders and data enthusiasts, this 5-hour course turns theory into actionable skills. Start building today and unlock the power of AI!
Start your journey today:
Course Structure Includes:
Module 1: Explore and Analyze Data with Python (49 min)
- Data manipulation with NumPy/Pandas, visualization with Matplotlib, and real-world data analysis.
Module 2: Train and Evaluate Regression Models (52 min)
- Regression fundamentals, hyperparameter tuning, and model optimization.
Module 3: Train and Evaluate Classification Models (47 min)
- Binary/multiclass classification, evaluation metrics, and hands-on exercises.
Module 4: Train and Evaluate Clustering Models (38 min)
- Clustering techniques (e.g., K-means) and advanced model evaluation.
Module 5: Train and Evaluate Deep Learning Models (2 hr 14 min)
- Deep neural networks, convolutional networks (CNNs), and transfer learning with TensorFlow.
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 create ML models with Python, scikit-learn, and TensorFlow. Master regression, classification, clustering, and deep learning through hands-on browser-based labs.
Pre-requisites
This learning path assumes knowledge of basic mathematical concepts.
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