Computer Science Basics
Fundamental principles and concepts
HarvardX: CS50's Introduction to Artificial Intelligence with Python
Learn to use machine learning in Python in this Beginner course on artificial intelligence.
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Course Insight
Suitable for beginner learners. This course serves as an entry point into Computer Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Beginner FriendlySelf-Paced LearningProject-Based
SKILLS TO
MASTER
Practical ApplicationTrending
Real-world project implementationBest Practices
Industry standard workflows and guidelinesCareers:Backend Developer, Software Engineer, API Developer.
Quick Facts
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What You’ll Learn
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, machine learning, large language models, and other topics in artificial intelligence as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.
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Outcomes
- graph search algorithms.
- adversarial search.
- knowledge representation.
- logical inference.
- probability theory.
- Bayesian networks.
- Markov models.
- constraint satisfaction.
- machine learning.
- reinforcement learning.
- neural networks.
- natural language processing.
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