Machine Learning Courses and Certifications

Career Certificate

Machine Learning for Trading

1185 ratings at Coursera

Develop advanced trading strategies using machine learning and Python. Learn to leverage Google Cloud for serverless, scalable models in quantitative finance and algorithmic trading.

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

Smart Analytics, Machine Learning, and AI on Google Cloud

1246 ratings at Coursera

Explore machine learning integration in Google Cloud data pipelines, from AutoML to custom solutions with Notebooks, BigQuery ML, and Vertex AI for enhanced data insights.

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

Scalable Machine Learning on Big Data using Apache Spark

1252 ratings at Coursera

Learn to scale machine learning tasks on big data using Apache Spark. Gain hands-on experience with parallel processing, distributed storage, and SparkML Pipelines to handle petabyte-scale datasets efficiently.

• Coursera
• 6 hours 38 minutes
• Self-Paced
• Paid Course

Machine Learning and AI with Python

26 ratings at edX

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

• edX
• 6 weeks, 4-5 hours/week
• Self-Paced
• Free Online Course (Audit)

Alberta Machine Intelligence Institute Career Certificate

Machine Learning: Algorithms in the Real World

1071 ratings at Coursera

Comprehensive journey through applied machine learning, from problem definition to deployment, equipping professionals to build and maintain successful ML applications across various domains.

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

Career Certificate

Applied Tiny Machine Learning (TinyML) for Scale

Enhance your TinyML skills, from applications to deployment and scaling. Learn to build, program, and operationalize machine learning models for tiny devices and embedded systems.

• edX
• 18 weeks, 2-4 hours/week
• Self-Paced
• $897.00
• 3 courses

Career Certificate

Tiny Machine Learning (TinyML)

Explore TinyML: machine learning for tiny devices. Learn fundamentals, applications, and deployment using TensorFlow. Hands-on projects with Arduino board for real-world implementations in image, audio, and gesture recognition.

• edX
• 16 weeks, 2-4 hours/week
• Self-Paced
• $897.00
• 3 courses

Career Certificate

AI and Machine Learning Essentials with Python

48 ratings at Coursera

Gain essential skills in AI, machine learning, and Python programming. Learn statistics, solve real-world problems, and prepare for advanced study in these cutting-edge fields.

• Coursera
• 16 weeks, 8 hours/week
• Self-Paced
• Paid Course
• 3 courses

Google Cloud;  New York Institute of Finance

Introduction to Trading, Machine Learning & GCP

898 ratings at Coursera

Explore trading fundamentals, machine learning, and Google Cloud Platform to build quantitative strategies and models using Python, focusing on regression, time series, and neural networks.

• Coursera
• 5 hours 25 minutes
• Self-Paced
• Paid Course

Machine Learning for Data Analysis

328 ratings at Coursera

Explore machine learning techniques for predictive analysis, covering decision trees, random forests, lasso regression, and k-means clustering. Gain hands-on experience applying these algorithms to real-world data.

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

Machine Learning Essentials

Explore statistical learning techniques for machine learning, including linear regression and classification. Apply concepts through Python coding assignments and practical problem-solving.

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

Managing Machine Learning Projects

377 ratings at Coursera

Learn to identify ML opportunities, organize projects, handle data, design systems, and manage model lifecycles for successful machine learning implementations.

• Coursera
• 18 hours 26 minutes
• Self-Paced
• Paid Course

Introduction to Machine Learning in Sports Analytics

27 ratings at Coursera

Explore supervised machine learning techniques using Python and real athletic data to predict sports outcomes, applying methods like SVM, decision trees, and ensembles to analyze professional leagues and wearable device data.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course

Career Certificate

Applied Machine Learning

16 ratings at Coursera

Develop practical machine learning skills through hands-on application of supervised learning, ensemble methods, neural networks, and advanced techniques like CNNs and reinforcement learning.

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

Applied Machine Learning: Techniques and Applications

12 ratings at Coursera

Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.

• Coursera
• 19 hours 24 minutes
• Self-Paced
• Paid Course