Unsupervised Learning Courses and Certifications

Packt Credential

Machine Learning, Data Science and Generative AI with Python

5 ratings at Coursera

Master machine learning, data science, and generative AI using Python. Build models with TensorFlow, work with big data using Spark, and deploy real-time AI systems ethically.

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

Basics of Machine Learning

"Basics of Machine Learning" introduces participants to the fundamental concepts and tools of machine learning, including probability density estimation, linear regression, classification techniques, ensemble methods, and deep neural networks.

• edX
• 8 weeks, 6-8 hours/week
• Self-Paced
• Free Online Course (Audit)

Basics of Data Science

Comprehensive introduction to data science fundamentals, covering analysis techniques, tools, and ethical considerations. Includes hands-on Python exercises for practical application of concepts.

• edX
• 9 weeks, 5-11 hours/week
• Self-Paced
• Free Online Course (Audit)

Machine Learning for Engineers: Algorithms and Applications

Master practical machine learning algorithms through hands-on implementation in Python and PyTorch, covering supervised and unsupervised learning techniques for real-world applications in computer vision, NLP, and robotics.

• Coursera
• 17 hours 31 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

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

LearnKartS

Introduction to AI and Machine Learning

Discover the fundamentals of AI and ML with AWS, covering supervised and unsupervised learning, neural networks, NLP, computer vision, and hands-on experience with Amazon SageMaker for model deployment and optimization.

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

State Bank of India

Introduction to Machine Learning for Finance

Explore machine learning in finance: data analysis, supervised/unsupervised learning, NLP, time series forecasting. Gain practical skills for banking innovation and ethical AI implementation.

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

CertNexus

Train Machine Learning Models

Aprende conceptos básicos de machine learning, prueba hipótesis, y entrena, ajusta y evalúa modelos para clasificación, regresión y clustering. Requiere conocimientos en tecnología informática y programación.

• Coursera
• 1 day 4 hours 39 minutes
• Self-Paced
• Paid Course

Whizlabs

AWS: Machine Learning & MLOps Foundations

Master foundational ML concepts, model evaluation, and MLOps using AWS services like SageMaker to build end-to-end workflows and prepare for MLA-C01 certification.

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

AI for Cybersecurity

Discover how machine learning and AI techniques protect against cyber threats through malware detection, intrusion prevention, and spam filtering with hands-on Python implementation.

• Coursera
• 11 hours 54 minutes
• Self-Paced
• Paid Course

Edureka

Applied Machine Learning with Python

Master practical machine learning with Python, from supervised and unsupervised algorithms to recommendation systems. Build classification models, implement regression, and create clustering solutions through hands-on exercises.

• Coursera
• 14 hours 19 minutes
• Self-Paced
• Paid Course

Coursera

Advanced Data Science Techniques (with AWS Integration)

Master sophisticated ML models and AWS deployment through hands-on projects covering feature engineering, time series analysis, and cloud-based machine learning pipelines.

• Coursera
• 1 day 5 hours 29 minutes
• Self-Paced
• Paid Course

Khalifa University

AI for Executives: AI for Business Decision Making

Discover how to lead AI-driven business decisions with practical skills in machine learning, data preparation, and model integration for strategic advantage.

• Coursera
• 5 hours 33 minutes
• Self-Paced
• Paid Course

Machine Learning for Medical Data

Master machine learning techniques for healthcare applications, developing predictive models for patient risk assessment and clinical decision support through hands-on projects.

• Coursera
• 10 hours 42 minutes
• Self-Paced
• Paid Course