All are free to listen and learn, but a few short courses require payment for certification.
๐๐๐ซ๐ฏ๐๐ซ๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ - ๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ
- Statistics and R
- Data Science: Probability
- Data Science: Linear Regression
- Data Science: Inference and Modeling
๐๐๐ซ๐ฏ๐๐ซ๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ - ๐๐ ๐๐ง๐ ๐๐๐ญ๐ ๐๐๐ข๐๐ง๐๐
Data Science: Machine Learning
High-dimensional data analysis
Introduction to Programming with Python
๐๐๐ฉ๐ฎ๐ญ๐๐๐ฅ๐ ๐๐จ๐ฆ๐ฉ๐๐ง๐ข๐๐ฌ ๐ฌ๐ฎ๐๐ก ๐๐ฌ ๐๐ข๐๐ซ๐จ๐ฌ๐จ๐๐ญ, ๐๐ข๐ง๐ค๐๐๐๐งโฆ - ๐๐ก๐จ๐ซ๐ญ ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ ๐ฐ๐ข๐ญ๐ก ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐
โพAI for Beginners beginner-friendly course, that covers the basics of ML, its applications, and real-world use cases, providing a strong foundation in the field
โพAI for Everyone designed for a general audience to grasp the essentials of AI, its impact, and its potential in everyday life
โพGenerative AI explore how GenAI is redefining online search and making it analytical, learn effective search strategies
โพDeep Learning Specialization a key AI technology, and learn about its mechanisms, applications, and the skills needed to develop DL models
โพIntroduction to Large Language Models Learn about the development, capabilities, and applications of LLM, including their role in advancing natural language processing
โพIntroduction to Responsible AI the principles of responsible AI development, including fairness, transparency, and accountability in AI systems
โพEthics in the Age of Generative AI ethical challenges in deploying Generative AI, and learning about frameworks for ethical analysis and decision-making in AI applications
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