Supervised Learning Courses and Certifications

Maven Analytics

Complete Visual Guide to Machine Learning

Gain insights into machine learning fundamentals through visual examples and Excel-based models, covering classification, regression, forecasting, and unsupervised learning techniques - no coding required.

• Coursera
• 15 hours 3 minutes
• On-Demand
• Paid Course

Packt Microcredential

Azure ML Bootcamp: Machine Learning on the Cloud

Master Azure Machine Learning from foundations to advanced MLOps deployment, building and operationalizing models with hands-on cloud experience and real-world applications.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Data Analytics and Machine Learning for Big Data

Master machine learning and AI techniques for big data systems using PySpark ML, PyTorch, and Azure tools to build end-to-end ML pipelines and integrate Generative AI workflows.

• Coursera
• 1 day 4 hours 27 minutes
• On-Demand
• Paid Course

Packt

Foundations of Machine Learning with Azure

Master machine learning fundamentals and Azure ML Studio through hands-on data preprocessing, model building, and deployment techniques for real-world business applications.

• Coursera
• 7 hours 29 minutes
• On-Demand
• Paid Course

EDUCBA

Machine Learning with Python & Statistics

Master probability, sampling, distributions, and statistical testing to build machine learning models with Python and validate results through hypothesis testing and linear algebra.

• Coursera
• 13 hours 9 minutes
• On-Demand
• Paid Course

EDUCBA

Understand and Apply Artificial Intelligence Fundamentals

Explore AI fundamentals from core concepts to machine learning and reinforcement learning techniques for intelligent decision-making systems.

• Coursera
• 5 hours 58 minutes
• On-Demand
• Paid Course

Packt

Machine Learning for Absolute Beginners - Level 1

Discover foundational machine learning concepts, AI applications, and generative AI through hands-on examples, covering supervised learning, neural networks, and real-world challenges.

• Coursera
• 7 hours 21 minutes
• On-Demand
• Paid Course

Machine Learning for Healthcare Applications

Master machine learning techniques for healthcare analytics, building predictive models for clinical decision support, patient phenotyping, and temporal analysis with focus on interpretability.

• Coursera
• 7 hours 41 minutes
• On-Demand
• Paid Course

Fundamental of Reinforcement Training

Discover reinforcement learning fundamentals through MDP concepts and hands-on demos, distinguishing RL from other ML approaches for real-world decision-making applications.

• Coursera
• 3 hours 4 minutes
• On-Demand
• Paid Course

Packt

Clustering and Classification with Machine Learning in R

Master R for data analysis: from preprocessing to advanced machine learning algorithms. Gain practical skills in clustering, classification, and dimension reduction using real-world datasets and popular R packages.

• Coursera
• 11 hours 42 minutes
• On-Demand
• Paid Course

Coursera

Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

Master AI techniques that enable models to perform effectively with minimal labeled data through zero-shot and few-shot learning approaches for real-world applications.

• Coursera
• 3 hours 52 minutes
• On-Demand
• Paid Course

EDUCBA Microcredential

Octave for Machine Learning: Data Analysis Mastery

Master GNU Octave for machine learning workflows, from matrix operations to data visualization, plus R classification techniques for real-world data science applications.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

EDUCBA

Machine Learning in Python: Analyze & Apply

Master Python's data science ecosystem through hands-on machine learning fundamentals, NumPy, Matplotlib, Pandas, and scikit-learn with advanced applications like face recognition and sentiment analysis.

• Coursera
• 13 hours 53 minutes
• On-Demand
• Paid Course

H2O.ai

DataPrep for H2O Driverless AI

Master data preparation techniques for machine learning using H2O's Driverless AI, covering tabular formats, time series analysis, and automated preprocessing for both supervised and unsupervised learning scenarios.

• Coursera
• 1 hour 9 minutes
• On-Demand
• Paid Course

Whizlabs

Fundamentals of Machine Learning

Master machine learning fundamentals with hands-on experience in supervised/unsupervised learning, data preparation, model optimization, and cloud deployment on AWS and Azure.

• Coursera
• 14 hours 59 minutes
• On-Demand
• Paid Course