Ensemble Learning Courses and Certifications

Introduction to Machine Learning: Supervised Learning

30 ratings at Coursera

Explore supervised ML algorithms, prediction tasks, and model selection. Learn to improve performance using linear/logistic regression, KNN, decision trees, ensembling methods, and kernel techniques like SVM.

• Coursera
• 22 hours 48 minutes
• Self-Paced
• Paid Course

Regression Analysis

10 ratings at Coursera

Master regression analysis techniques to model relationships, prevent overfitting, and make data-driven decisions. Explore linear and polynomial regression, regularization, cross-validation, and ensemble methods through hands-on practice.

• Coursera
• 1 day 16 hours 1 minute
• Self-Paced
• Paid Course

Trees, SVM and Unsupervised Learning

Explore support vector machines, neural networks, decision trees, and XG boost for predictive modeling. Learn data representation through PCA and clustering for practical applications in data science.

• Coursera
• 12 hours 59 minutes
• Self-Paced
• Paid Course

Advanced AI and Machine Learning Techniques and Capstone

48 ratings at Coursera

Master advanced AI techniques, from ensemble methods to ethical GenAI implementation, while building scalable systems and completing a real-world capstone project using Microsoft Azure.

• Coursera
• 1 day 8 hours 57 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Machine Learning with Scikit-learn, PyTorch & Hugging Face

29 ratings at Coursera

Master machine learning from foundations to generative AI using Python, scikit-learn, PyTorch & Hugging Face through hands-on projects and real-world applications.

• Coursera
• 20 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 5 courses

Decision Trees, Random Forests, AdaBoost & XGBoost in Python

1039 ratings at Udemy

Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python

• Udemy
• 7 hours 20 minutes
• Self-Paced
• Paid Course

EDUCBA

Machine Learning with R: Build, Analyze & Predict

16 ratings at Coursera

Master machine learning foundations and R programming through hands-on practice with regression, classification, decision trees, and ensemble methods for real-world data analysis.

• Coursera
• 12 hours 31 minutes
• Self-Paced
• Paid Course

Fractal Analytics

Advanced Machine Learning Algorithms

12 ratings at Coursera

Explore advanced machine learning algorithms, from regularization to ensemble methods. Master feature engineering, hyperparameter tuning, and model selection for enhanced predictive accuracy and real-world applications.

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

Machine Learning for Smart Beta

Explore smart beta products, recreate MSCI Enhanced Value Index, and apply machine learning techniques to create improved multi-factor models for investment strategies using R programming.

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

Coursera

Advanced Machine Learning Techniques

Master ensemble methods, dimensionality reduction, NLP, reinforcement learning, and AutoML using industry-standard tools like Scikit-learn, XGBoost, and PyTorch for real-world AI applications.

• Coursera
• 1 day 9 hours 42 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

AI Engineering Masterclass: From Zero to AI Hero

Master AI engineering from Python basics to advanced neural networks, deep learning, and real-world applications like image classification and sentiment analysis.

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

Coursera Career Certificate

GenAI Ops: Running Powerful Generative AI Systems

Master end-to-end GenAI operations: governance, deployment, security, infrastructure, and cost optimization for enterprise-scale AI systems in production environments.

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

Coursera Career Certificate

Statistical Inference & Predictive Modeling Foundations

Master statistical inference and predictive modeling through A/B testing, regression, neural networks, and ensemble methods to drive data-driven business decisions.

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

Coursera Career Certificate

AI Systems Reliability & Security

Master enterprise-grade AI system architecture with hands-on training in reliability, security, and multi-cloud scalability for production environments.

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

Coursera

Optimizing and Governing AI Systems

Master AI optimization and governance through hands-on model monitoring, bias mitigation, ensemble design, and enterprise policy frameworks for responsible deployment.

• Coursera
• 12 hours 36 minutes
• Self-Paced
• Paid Course