Gain a foundational knowledge of the science behind creating computer systems that can perform tasks typically requiring human intelligence in this introductory artificial intelligence (AI) course.
Learn foundational artificial intelligence (AI) and machine learning knowledge in this introductory course. You will obtain a firm understanding of the science behind creating computer systems, the definition and history of machine learning, including the problem it is trying to solve, program languages, popular algorithms used, and the different types of machine learning.
The course provides foundational machine learning knowledge that enables you to learn the most popular algorithms used and the different types of machine learning, including supervised, unsupervised, and reinforcement learning. This course also explores the programming languages used to develop machine learning.
Learn how blockchain is used for secure, real-time transactions through mining, minting, and the algorithms that determine consensus.
Students will gain valuable and sought-after programming skills.
Learn to leverage your Python experience for data science or data analytics during this in-demand course. Students will obtain best practices and advanced fundamental knowledge for using Jupyter Notebook, NumPy, pandas, and more.
Learn advanced JavaScript concepts and their applications, key skills for any web developers.
This course provides a foundation in the underlying methodology of blockchain, including the roles of participants of mining, minting, and the algorithms that determine consensus.