Here's a general curriculum for learning about artificial intelligence (AI) from the ground up:
1. Introductory Courses: Begin with an introductory course on AI, such as Artificial Intelligence on Udacity or CS50's Introduction to Artificial Intelligence with Python on edX. These courses will provide you with a foundational understanding of AI, including its history, applications, and current state of development.
2. Machine Learning: Once you have a basic understanding of AI, dive deeper into machine learning, which is a subset of AI that focuses on building systems that can learn from data. Courses such as Machine Learning by Andrew Ng on Coursera or the Machine Learning Nanodegree on Udacity are great places to start.
3. Deep Learning: After gaining a solid understanding of machine learning, move on to deep learning, which is a subfield of machine learning that focuses on building and training neural networks. Courses such as the Deep Learning Specialization by Andrew Ng on Coursera or the Deep Learning Nanodegree on Udacity will teach you the fundamentals of deep learning.
4. Natural Language Processing: Natural language processing (NLP) is a branch of AI that focuses on understanding and processing human language. Courses such as Natural Language Processing with Python on Udemy or the Natural Language Processing Nanodegree on Udacity will teach you the basics of NLP.
5. Reinforcement Learning: Reinforcement learning is a type of machine learning that focuses on training agents to make decisions in a dynamic environment. Courses such as Reinforcement Learning on Coursera or the Reinforcement Learning Nanodegree on Udacity will teach you the fundamentals of reinforcement learning.
6. Capstone Project: Finally, put your newfound knowledge to the test by completing a capstone project. This could involve building an AI-powered application, training a neural network to recognize images or text, or implementing a reinforcement learning algorithm to solve a problem.