Top 7 Free Machine Learning Courses with Certificates
Summary
This article compiles a list of seven free machine learning courses, each tailored to different learning styles and career goals. It highlights options for obtaining recognized certificates, such as "Machine Learning on Google Cloud" by Google Cloud and "Microsoft Azure Machine Learning" by Microsoft, both available on Coursera. For practical, hands-on experience, "Machine Learning with Python" by freeCodeCamp and "Intro to Machine Learning" by Kaggle are recommended, focusing on project-based learning and real datasets. Analytics Vidhya offers a "Machine Learning Course for Beginners" designed for data science careers, while IBM's "Machine Learning with Python" emphasizes Python-based algorithm implementation. Finally, AWS provides "Machine Learning Terminology and Process" for foundational understanding of ML systems. Each course offers unique benefits, including cloud-based tool exposure, interactive coding environments, and free certificates upon completion.
Key takeaway
For machine learning engineers or data scientists seeking to enhance your skills or validate your knowledge, consider your preferred learning style and career aspirations when selecting a course. If a recognized certificate is crucial, prioritize offerings from Google Cloud, Microsoft, or AWS. If practical application is key, freeCodeCamp or Kaggle provide excellent project-based learning, allowing you to build models and work with real datasets.
Key insights
Effective ML learning requires matching course format to individual learning style and career objectives.
Principles
- Certificates enhance career recognition
- Hands-on projects solidify ML concepts
- Cloud platforms offer industry-relevant ML skills
In practice
- Explore freeCodeCamp for project-based Python ML
- Use Kaggle for interactive learning with real datasets
- Consider Google Cloud or Azure for cloud ML certification
Topics
- Free ML Courses
- Cloud ML Platforms
- Python for ML
- Hands-on Machine Learning
- ML Certifications
Best for: AI Student, Machine Learning Engineer, Data Scientist
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Analytics Vidhya.