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Learn Supervision online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Simplilearn
This beginner-friendly course on reinforcement learning equips you with the foundational and practical knowledge needed to understand and apply key RL concepts in real-world scenarios. Start by exploring what reinforcement learning is, why it matters, and how it differs from supervised and unsuperv…
Simplilearn
This LLM Fine-Tuning course equips you with the skills to optimize and deploy domain-specific large language models for advanced Generative AI applications. Begin with foundational concepts—learn supervised fine-tuning, parameter-efficient methods (PEFT), and reinforcement learning with human feedb…
Simplilearn
This comprehensive Supervised and Unsupervised Machine Learning program will equip you with essential skills for data modeling and analysis. You’ll master regression techniques, classification models, and clustering algorithms to address real-world challenges and drive impactful data solutions. By…
Board Infinity
Step confidently into a supervisory role by building the leadership, communication, and decision-making skills needed to guide teams effectively. This course provides a practical foundation for new and aspiring supervisors transitioning from individual contributor to team leader while maintaining t…
Coursera
This course equips learners with practical, job-ready skills to train and evaluate supervised machine learning models for land-cover classification. Learners progress through an end-to-end analytical workflow, beginning with spectral and texture feature engineering, followed by training a Random Fo…
Coursera
This short course helps you build and evaluate predictive models using supervised and unsupervised techniques. You will practice training algorithms with scikit-learn, explore how cross-validation affects model reliability, and analyze performance metrics like accuracy and F1 to make data-driven im…
Coursera
Predictive Models for Financial Risk is a short, practical course for financial analysts, interns, and early-career professionals who want to use supervised machine learning responsibly in finance. Many predictive models fail not because of poor algorithms, but because key workflow steps—data prepa…
Coursera
In this short, practical course, you’ll learn how to use supervised learning to forecast key business metrics and uncover the drivers that shape performance. Through hands-on exercises in Python, you’ll build and tune regression and gradient-boosted models to predict outcomes such as next-quarter E…
Coursera
Apply regression, statistical analysis, and supervised learning to evaluate financial performance and predict risk. In this course, you’ll build the quantitative skills used by financial analysts to interpret data and support investment and lending decisions. You’ll begin by calculating and interpr…
EDUCBA
Build a strong foundation in machine learning with R by combining statistical theory with practical implementation. In Master Machine Learning with R: Build, Analyze & Predict, you will learn how machine learning works, explore the differences between supervised and unsupervised learning, and devel…
Coursera
Zero-Shot & Few-Shot Learning is an intermediate-level course designed for data scientists, ML engineers, and AI practitioners who want to build models that perform well—even when labeled data is limited. Traditional supervised learning breaks down when examples are scarce or tasks are constantly e…
EDUCBA
Build practical skills in linear regression, Python, and supervised machine learning through a structured, project-driven course. Designed for beginners and aspiring data professionals, this course guides you through the complete regression workflow—from identifying a machine learning use case and…
Packt
This course covers the core concepts of supervised machine learning using Python. You will learn the most popular algorithms, such as K-Nearest Neighbor (KNN), Naive Bayes, and Decision Trees, and how to implement them with Python on real-world datasets. By the end of the course, you'll be ready to…
28DIGITAL
This course is designed for data scientists, machine learning practitioners, and graduate students who want to understand how to evaluate and select models reliably in real-world applications. It is particularly relevant for learners working with predictive models who need to ensure their results g…
Packt
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course is a complete guide to supervised an…
Coursera
Nursing Leadership Essentials: Effective Communication and Team Building is an intermediate-level course designed to help nurse leaders strengthen coordination, trust, and performance on the front lines of care. Whether you're leading a med-surg unit, supervising rotating teams, or supporting new g…
EDUCBA
Build a strong foundation in supervised machine learning by learning how to develop, evaluate, and interpret classification models using Python. In this hands-on course, you will work with the real-world Titanic dataset to explore the complete machine learning workflow, from project setup and data…
EDUCBA
Build practical machine learning skills by implementing and evaluating Random Forest models in Python. In this hands-on course, you'll work through a complete supervised learning workflow using the SONAR dataset, from data preparation and exploration to decision tree construction and Random Forest…
Board Infinity
Effective Supervision for Modern Leaders
Minnesota State University, Mankato
Lead Teams, Solve Problems, Drive Results
