Machine Learning Courses and Certifications

EDUCBA Career Certificate

Apply R for Predictive Analytics and Machine Learning

Master predictive analytics and machine learning with R through hands-on projects in retail, finance, and telecom, building job-ready skills for data-driven decision-making.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

EDUCBA

Analyze and Predict Shipping Time Using Machine Learning

Master machine learning techniques to analyze shipping data, predict delivery times, and forecast demand for logistics optimization.

• Coursera
• 5 hours 30 minutes
• Self-Paced
• Paid Course

EDUCBA

Machine Learning Projects in R with Caret

Master hands-on machine learning workflows in R using caret package through real-world projects covering data preprocessing, missing value handling, and clustering techniques.

• Coursera
• 5 hours 5 minutes
• Self-Paced
• Paid Course

Packt

Python Machine Learning By Example

Explore Python machine learning through hands-on projects covering deep learning, NLP, and computer vision using TensorFlow and PyTorch, with real-world case studies in finance, NLP, and image recognition.

• Coursera
• 32 hours
• Self-Paced
• Paid Course

MathWorks

Analyzing the Manufacturing Process with Machine Learning

Discover how engineers apply machine learning to advance manufacturing analytics, improve quality, and optimize yield. Explore practical AI for manufacturing workflows that turn process and sensor data into actionable insights, without heavy coding.

• edX
• 12 hours
• Self-Paced
• Free Online Course (Audit)

Edureka

Applied Machine Learning Without Coding

Master machine learning fundamentals and build regression/classification models using Orange Data Mining's visual interface—no coding required for data professionals.

• Coursera
• 7 hours 18 minutes
• Self-Paced
• Paid Course

EDUCBA

Octave Machine Learning: Apply, Analyze & Build

Master advanced Octave programming for machine learning with hands-on data analysis, control structures, and time-series handling techniques.

• Coursera
• 6 hours 28 minutes
• Self-Paced
• Paid Course

Hewlett-Packard

AI in Practice: Machine Learning and Neural Networks

Explore neural networks, Transformers, LLMs, and Generative AI through 8 modules with real-world examples. No coding needed—just curiosity about how modern AI works.

• edX
• 9 hours
• Self-Paced
• Free Online Course (Audit)

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, 30-35 hours/week
• Self-Paced
• Free Online Course (Audit)

Machine Learning: Capstone Project

Demonstrate your machine learning expertise in this IBM Capstone course. Apply Pandas, Scikit-learn, TensorFlow/Keras, and build a real-world course recommender system. Showcase your ML skills through this comprehensive hands-on project.

• edX
• 1 week, 20-24 hours/week
• Self-Paced
• Free Online Course (Audit)

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, 20-24 hours/week
• Self-Paced
• Free Online Course (Audit)

Advanced Machine Learning, Neural Networks, and NLP

Master advanced ML techniques, neural networks, and NLP—covering supervised learning, deep learning architectures, and text processing—to build sophisticated models for real-world AI and data science challenges.

• Coursera
• 5 hours
• Self-Paced
• Paid Course

Packt

Machine Learning with R

Master machine learning in R, from data prep and classification to deep learning and big data with Spark, Hadoop, Keras, and TensorFlow for real-world applications.

• Coursera
• 1 day 9 hours 10 minutes
• Self-Paced
• Paid Course

Packt

Machine Learning Product Management - Strategy to Deployment

Master machine learning product management, from ideation to deployment. Learn to structure ML teams, select algorithms, prepare data, and monitor models in production—no prior technical experience required.

• Coursera
• 8 hours
• Self-Paced
• Paid Course

Career Certificate

Machine Learning

Master machine learning fundamentals through hands-on projects, from supervised/unsupervised learning to deep learning, culminating in a portfolio-ready capstone project.

• edX
• 9 weeks, 21-25 hours/week
• Self-Paced
• $894.00