Machine Learning Courses and Certifications

Machine Learning and AI Applications in Healthcare

Discover machine learning and AI applications in healthcare, from medical imaging to predictive analytics, using Azure services and clinical validation methods.

• Coursera
• 1 day 14 hours 52 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course

Packt

Machine Learning: Random Forest with Python from Scratch©

Master Python and Random Forest algorithm for machine learning. Build predictive models, handle data, and optimize performance through hands-on projects and real-world applications.

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

Packt Career Certificate

Mastering Machine Learning Algorithms using Python

Master machine learning algorithms with Python, from data preprocessing to model optimization. Learn statistical techniques and implement algorithms like linear regression through practical projects.

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

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
• Self-Paced
• Paid Course

Coursera

Machine/Deep Learning for Mining Quality Prediction-Enhanced

Train machine learning and deep learning models to predict Silica Concentrate in iron ore, enhancing mining efficiency with faster, accurate predictions compared to traditional methods.

• Coursera
• 2 hours 43 minutes
• Self-Paced
• Paid Course

Board Infinity Career Certificate

Java in Machine Learning

Master machine learning with Java using Weka, Smile, and Deeplearning4j. Build scalable ML applications from data preprocessing to deployment in enterprise environments.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Board Infinity

Apply AI & Machine Learning to Financial Forecasting

Master AI and machine learning techniques to transform financial data into accurate forecasts using Python, regression models, and time series analysis for strategic decision-making.

• Coursera
• 20 hours 11 minutes
• Self-Paced
• Paid Course

Building a Machine Learning Ready Organization

Discover key components for successful ML adoption in organizations, focusing on decision-makers involved in ML projects.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Packt

Advanced Machine Learning, Big Data, and Deep Learning

Master advanced ML techniques, big data processing with Apache Spark, and deep learning using TensorFlow/Keras for real-world AI applications and model deployment.

• Coursera
• 10 hours 45 minutes
• Self-Paced
• Paid Course

Coursera

Data and Machine Learning for Technical Product Managers

Master the fundamentals of managing ML-driven projects, from integrating data analysis tools to evaluating outcomes using performance metrics and aligning with organizational goals for technical product managers.

• Coursera
• 2 hours 50 minutes
• Self-Paced
• Paid Course

MathWorks

Predicting Failures with Machine Learning

Advance your engineering career with predictive maintenance solutions. Acquire AI expertise to anticipate equipment failures, minimize downtime, and boost operational efficiency.

• edX
• 4 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

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
• Self-Paced
• Paid Course

EDUCBA

Learn & Build Machine Learning Models with Python

Discover how to build and evaluate machine learning models using Python, NumPy, Pandas, and Scikit-learn through hands-on projects and real-world applications.

• Coursera
• 8 hours 39 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course