Harvard CS50’s Artificial Intelligence with Python – Full University Course

What Will You Learn?

• ✅ Foundations of Artificial Intelligence – Understand key AI concepts like search algorithms, decision trees, and constraint satisfaction problems.
• ✅ Machine Learning – Learn about supervised and unsupervised learning, regression models, classification, and clustering algorithms.
• ✅ Neural Networks & Deep Learning – Dive into neural networks, backpropagation, and deep learning techniques to build complex AI models.
• ✅ Reinforcement Learning – Explore reinforcement learning techniques and how they are applied to training AI agents.
• ✅ Natural Language Processing (NLP) – Understand how to process and analyze human language using techniques like tokenization, stemming, and sentiment analysis.
• ✅ AI Algorithms & Techniques – Learn search algorithms (e.g., A*, minimax), knowledge representation, game theory, and optimization.
• ✅ Python for AI – Gain practical experience in coding AI algorithms using Python libraries like TensorFlow, scikit-learn, and NLTK.
• ✅ Building AI Systems – Develop hands-on projects such as intelligent agents, recommendation systems, and AI-driven games.
• By the end of this course, you will have a strong grasp of AI methodologies and hands-on experience to build your own AI applications. 🚀