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Supervision courses 168

Learn Supervision online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Great Learning

Generative AI with Machine Learning and LLMs

This Introduction to Generative AI and LLMs course equips you with the essential skills to understand how AI, machine learning, deep learning, and Generative AI work together. You’ll learn the evolution of AI, the difference between narrow and general AI, supervised, unsupervised, and reinforcement…

  • Great Learning Academy
  • 1.5 hours
  • Self-paced
  • Free course
  • Free certificate
  • Beginner

University of Michigan

Introduction to Machine Learning in Sports Analytics

4.628 ratings

In this course students will explore supervised machine learning techniques using the python scikit learn (sklearn) toolkit and real-world athletic data to understand both machine learning algorithms and how to predict athletic outcomes. Building on the previous courses in the specialization, stude…

  • Coursera
  • 13 hours
  • Self-paced
  • Paid certificate

The International Monetary Fund

AML CFT Risk-based Supervision of Financial Institutions

4.761 ratings

This course on risk-based AML/CFT supervision of financial institutions provides AML/CFT supervisors and other AML/CFT experts with the foundational principles, methodologies, and tools necessary to implement an effective risk-based supervisory framework. Designed for experienced and interested pro…

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

Alberta Machine Intelligence Institute

Machine Learning Algorithms: Supervised Learning Tip to Tail

4.7417 ratings

This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally…

  • Coursera
  • 9.5 hours
  • Self-paced
  • Paid certificate

IBM

Machine Learning: Regression

This course covers key supervised machine learning topics in regression analysis. You’ll learn to train and test regression models. Ideal for aspiring data scientists and machine learning engineers.

  • edX
  • 2 weeks, 23 - 27 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

IBM

Machine Learning with Apache Spark

4.5116 ratings

Explore the exciting world of machine learning with this IBM course. Start by learning ML fundamentals before unlocking the power of Apache Spark to build and deploy ML models for data engineering applications. Dive into supervised and unsupervised learning techniques and discover the revolutionary…

  • Coursera
  • 4 weeks of study, 2-4 hours/week
  • Self-paced
  • Paid certificate

IBM

Machine Learning: Classification

This course covers key supervised machine learning (ML) and classification techniques, including logistic regression, decision trees, ensemble methods, and handling unbalanced datasets. Build and evaluate classification models using real-world data.

  • edX
  • 2 weeks, 23 - 27 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

Cornell University

Applications of Machine Learning in Plant Science

This course provides learners with an introduction to applications of machine learning in the plant sciences. Learners will be given an introduction to machine learning including supervised learning, test validation, learning via gradient methods, neural networks, regression, and parameter optimiza…

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

freeCodeCamp

LLM Fine-Tuning Course – From Supervised FT to RLHF, LoRA, and Multimodal

Learn how to tailor massive models to specific tasks with this comprehensive, deep dive into the modern LLM ecosystem. You will progress from the core foundations of supervised fine-tuning to advanced alignment techniques like RLHF and DPO, ensuring your models are both capable and helpful. Through…

Free video
  • YouTube
  • 12 hours
  • Self-paced
  • Free video

RWTH Aachen University

Basics of Data Science

"Basics of Data Science" gives a comprehensible overview of many fundamental concepts and tools of data science, including data quality and data preprocessing, supervised and unsupervised learning techniques including their evaluation, frequent itemsets and association rules, sequence mining, proce…

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

The International Monetary Fund

Cyber Risk Supervision

4.543 ratings

As the reliance of the financial sector on Information Technology and the interconnectedness of systems continue to rise, cybersecurity has become a financial stability risk. Financial supervisors need to understand the nature of the risk, learn the essential concepts of cyber risk management, and…

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

freeCodeCamp

Intro to Fine-Tuning Large Language Models

Learn about fine-tuning large language models (LLMs). The course covers key methodologies, including supervised fine-tuning and reinforcement learning with human feedback (RLHF). It also introduces a technique called QLoRA, which enables you to fine-tune massive models like Llama 70B on a home work…

Free video
  • YouTube
  • 2 hours
  • Self-paced
  • Free video

University of California, Irvine

Predictive Modeling, Model Fitting, and Regression Analysis

4.576 ratings

Welcome to Predictive Modeling, Model Fitting, and Regression Analysis. In this course, we will explore different approaches in predictive modeling, and discuss how a model can be either supervised or unsupervised. We will review how a model can be fitted, trained and scored to apply to both histor…

  • Coursera
  • 4.5 hours
  • Self-paced
  • Paid certificate

HP

AI Fundamentals: Core Concepts and Principles

4.7190 ratings

Understand what AI really is — no hype, no fear, no prerequisites. Course 1 of the HP AI Foundations, Practice, and Leadership programme covers AI history, data fundamentals, machine learning types, and explainability. Designed for learners at any stage. Get a free verified certificate with referra…

  • edX
  • 3 weeks, 2 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Google Cloud

Architecting with Google Kubernetes Engine: Production en Español

4.933 ratings

En este curso, aprenderás sobre la seguridad de Kubernetes y Google Kubernetes Engine (GKE), los registros y la supervisión, y cómo usar los servicios administrados de almacenamiento y de bases de datos de Google Cloud desde GKE. Este es el segundo curso de la serie Architecting with Google Kuberne…

  • Coursera
  • 3 semanas de estudio, de 6 a 8 horas por semana
  • Self-paced
  • Paid certificate

Great Learning

OSHA Workplace Safety and Compliance

This free OSHA workplace safety course helps beginners understand common safety rules before working on a site, shop floor, warehouse, office, or supervised team. You learn OSHA responsibilities, the General Duty Clause, worker rights, hazard recognition, PPE, HazCom, fall prevention, LOTO, emergen…

  • Great Learning Academy
  • 2.5 hours
  • Self-paced
  • Free course
  • Free certificate
  • Beginner

Microsoft

Microsoft Azure Machine Learning for Data Scientists

4.3180 ratings

Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier.…

  • Coursera
  • 4 weeks of study, 1-2 hours/week.
  • Self-paced
  • Paid certificate

Dartmouth College

Machine Learning Fundamentals

This course provides a brief introduction to the theory and practice of supervised machine learning, the discipline of teaching computers to make predictions from labeled data. We begin with a well-known model of linear regression, moving from fundamental principles to the advanced regularization t…

  • Coursera
  • 34 hours
  • Self-paced
  • Paid certificate

Microsoft

Data Analytics and Machine Learning for Big Data

This advanced course teaches machine learning and AI techniques for big data systems. Learners will build end-to-end ML pipelines with PySpark ML, implement supervised and unsupervised models, and apply NLP techniques at scale. The course also explores deep learning, distributed training, and integ…

  • Coursera
  • 5 Hours per week, 12 weeks
  • Self-paced
  • Paid certificate

Alison

Supervision Skills for Adult Care

3.874 ratings

Supervision involves a supervisor meeting regularly and interacting with staff to review their work performance and help them do good work. This ‘Supervision Skills in Adult Care’ training course begins by defining concepts and diving into models of supervision such as cognitive behavioural supervi…

  • Alison
  • 3 hours
  • Self-paced
  • Free course
  • Paid certificate
  • Advanced

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