Machine Learning Courses and Certifications

Packt Career Certificate

Natural Language Processing with Real-World Projects

11 ratings at Coursera

Master NLP through hands-on projects: build chatbots, train models for text summarization, sentiment analysis, and entity recognition. Ideal for beginners and experienced developers alike.

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

AI Infrastructure: Cloud TPUs

11 ratings at Coursera

Unlock Google's Tensor Processing Units to optimize AI workloads, compare accelerators, maximize model performance, and master GPU/TPU interoperability for ML workflows.

• Coursera
• 3 hours 3 minutes
• Self-Paced
• Paid Course

Coursera

Diabetes Disease Detection with XG-Boost and Neural Networks

10 ratings at Coursera

Develop machine learning models using XG-Boost and Neural Networks to predict diabetes based on patient data, enhancing diagnostic capabilities in healthcare.

• Coursera
• 2 hours 1 minute
• Self-Paced
• Paid Course

Coursera

Predict Ad Clicks Using Logistic Regression and XG-Boost

10 ratings at Coursera

Predict ad clicks using logistic regression and XG-Boost to analyze customer behavior for a targeted Facebook marketing campaign, enhancing decision-making for a startup.

• Coursera
• 1 hour 50 minutes
• Self-Paced
• Paid Course

Statistical Learning for Engineering Part 1

Explore supervised and unsupervised machine learning algorithms, from linear regression to SVMs, with hands-on Python implementation for real-world engineering applications.

• Coursera
• 1 day 11 hours 38 minutes
• Self-Paced
• Paid Course

Techniques d’intelligence artificielle : des fondements aux applications

Explorez les fondements de l'apprentissage automatique supervisé, des algorithmes de base aux réseaux de neurones profonds, avec des applications pratiques dans divers domaines.

• edX
• 6 weeks, 5-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Statistical Learning for Engineering Part 2

Explore advanced machine learning algorithms including neural networks, clustering, dimensionality reduction, and reinforcement learning with hands-on Python implementation.

• Coursera
• 1 day 46 minutes
• Self-Paced
• Paid Course

Corporate Finance Institute

Classification - Fundamentals & Practical Applications

Master classification algorithms from logistic regression to SVM, implementing them in Excel and Python while learning to evaluate model performance and interpret results for business decision-making.

• Coursera
• 2 hours 58 minutes
• Self-Paced
• Paid Course

Packt

Foundations of ML & Python for Data Science

Gain insights into machine learning fundamentals and Python programming for data science, covering statistical techniques, key libraries like NumPy and Pandas, and practical applications across industries.

• Coursera
• 14 hours 15 minutes
• Self-Paced
• Paid Course

Coursera

ML Parameters Optimization: GridSearch, Bayesian, Random

Optimize ML regression models using grid search, random search, and Bayesian optimization techniques for fine-tuning hyperparameters and improving model performance on datasets.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

Guided Project: Predict World Cup Soccer Results with ML

In this beginner-friendly, hands-on guided project, develop your data science and machine learning skills in under an hour by building a prediction model for the 2022 FIFA World Cup. Perfect for anyone interested in learning more about prediction models.

• edX
• 1 week
• Self-Paced
• Free Online Course

Guided Project: Predict World Cup Soccer Results with ML

In this beginner-friendly, hands-on guided project, develop your data science and machine learning skills in under an hour by building a prediction model for the 2022 FIFA World Cup. Perfect for anyone interested in learning more about prediction models.

• edX
• 30 minutes
• Self-Paced
• Free Online Course

Pragmatic AI Labs

End to End LLM with Azure

Master Azure tools for building and deploying robust Large Language Model applications. Learn architectural patterns, automation, and end-to-end solutions for leveraging LLMs in your projects.

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Supervised Learning Regression Classification Clustering

Master essential machine learning techniques from regression and classification to clustering, gaining practical skills to implement supervised and unsupervised learning for real-world data analysis.

• Coursera
• 7 hours 44 minutes
• Self-Paced
• Paid Course

Edureka

Predictive Modeling with Python

Master statistical analysis and machine learning in Python through hands-on practice with real-world data, from probability distributions to predictive modeling and model optimization.

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