Machine Learning Courses and Certifications

Machine Learning Essentials for Business and Technical Decision Makers

13 ratings at Coursera

Explore best practices for integrating machine learning into business processes, determining its suitability for problem-solving, and implementing successful organizational adoption strategies.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Paid Course

EDUCBA

Machine Learning with Python: Build & Optimize

11 ratings at Coursera

Master Python-based machine learning by building, evaluating, and optimizing models with NumPy, Pandas, Matplotlib, and scikit-learn through hands-on projects and real-world applications.

• Coursera
• 8 hours 14 minutes
• On-Demand
• Paid Course

EDUCBA Microcredential

AI Driven Machine Learning with Python

12 ratings at Coursera

Master AI-driven machine learning through hands-on Python projects, from data preprocessing to model deployment, with real-world applications in healthcare and image detection.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

statistics.com

MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning

6 ratings at edX

Learn to deploy AI & ML models in production using Azure Machine Learning. Gain hands-on experience with data pipelines, versioning, model storage, and monitoring. Master essential skills for successful MLOps implementation.

• edX
• 4 weeks, 5-7 hours a week
• On-Demand
• Free Online Course (Audit)

Packt Microcredential

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 a week
• On-Demand
• Paid Course
• 3 courses

Building Machine Learning-Ready Organization

7 ratings at Udemy

ML-Ready: setting the stage for sustainable AI success

• Udemy
• 1 hour 46 minutes
• On-Demand
• Paid Course

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 a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Practical Machine Learning: Foundations to Neural Networks

Master probability, statistics, and neural networks to build rigorous machine learning models from linear regression to deep learning applications.

• Coursera
• 12 weeks, 8 hours a week
• On-Demand
• Paid Course
• 3 courses

Foundations for Machine Learning

Master essential probability distributions and Bayesian vs frequentist perspectives to build a strong mathematical foundation for machine learning and data science applications.

• Coursera
• 21 hours 28 minutes
• On-Demand
• Paid Course

Machine Learning Fundamentals

Discover supervised machine learning fundamentals, from linear regression to classification models, regularization techniques, and performance evaluation using ROC curves.

• Coursera
• 1 day 10 hours 7 minutes
• On-Demand
• Paid Course

Microcredential

IBM Machine Learning

Comprehensive program covering key machine learning types, algorithms, and applications. Develop practical skills using open-source frameworks for a career in AI and data science.

• Coursera
• 30 weeks, 3 hours a week
• On-Demand
• Paid Course
• 6 courses

Machine Learning Algorithms

Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.

• Coursera
• 15 hours 56 minutes
• On-Demand
• Paid Course

Machine Learning Use Cases in Finance

Explore machine learning applications in finance, including neural networks on graphs, reinforcement learning for portfolios, and NLP for ESG analysis. Gain insights from industry experts and practical examples.

• edX
• 4 weeks, 4-5 hours a week
• On-Demand
• Free Online Course (Audit)

Using R for Regression and Machine Learning in Investment

Learn regression and machine learning techniques for investment analysis using R, covering backtesting, risk assessment, and factor models to enhance decision-making in financial markets.

• Coursera
• 17 hours 27 minutes
• On-Demand
• Paid Course

Machine Learning

Master Python-based machine learning from fundamentals to deep learning, covering scikit-learn, TensorFlow, neural networks, and real-world applications with text and image data.

• Coursera
• 1 day 12 hours 2 minutes
• On-Demand
• Paid Course