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30 Tutorials Learn Artificial Intelligence (AI) from the best online Artificial Intelligence courses/tutorials submitted and voted by the programming community.
Learn Artificial Intelligence (AI) from the best online Artificial Intelligence courses/tutorials submitted and voted by the programming community.
AI Crash Course: A fun and hands-on introduction to reinforcement learning, deep learning, and artificial intelligence with Python [Hadelin de Ponteves] on Amazon.com. *FREE* shipping on qualifying offers. This friendly and accessible guide to AI theo
Learn RAG is a 94-minute intermediate course on building LLM-powered applications with Retrieval-Augmented Generation. Students start by understanding embeddings and why they are crucial to improving AI accuracy. The course then moves into chunking documents, generating embeddings, and storing them in vector databases such as Supabase. Learners practice similarity search and combine retrieved results with the OpenAI ChatCompletions API to create smarter, context-aware responses. The capstone project is a proof-of-concept AI Movie Recommendation engine that demonstrates RAG in action.
Intro to Claude AI on Scrimba is a short, hands-on course designed to introduce developers to Anthropic’s large language model, Claude. In under an hour, learners will explore Claude’s capabilities, practice prompt engineering, and build two practical projects: a text summarizer and an image describer. Along the way, the course covers API usage, error handling, and deploying AI-powered applications to the cloud—giving learners the skills to start integrating advanced AI into real-world projects.
This course will introduce you to the basics of AI. Topics include machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.
Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!
The 6.034: Artificial Intelligence (Fall 2010) course, taught by the late Professor Patrick Henry Winston, remains a classic introduction to AI. Although the lectures were recorded more than a decade ago, they still provide a clear foundation in the principles of reasoning, search, constraint satisfaction, probabilistic inference, and early neural network concepts. Modern AI has advanced significantly since then with transformer models, large-scale reinforcement learning, and generative systems now dominant, but the underlying ideas taught in these lectures continue to shape the field. For learners in 2025, the course is best seen as a rigorous historical and conceptual grounding in AI rather than a guide to the latest technologies.
Learn more about the University of Helsinki and Reaktor’s AI course for students and business professionals - no programming or math skills required.
CS 188: Introduction to Artificial Intelligence is an undergraduate course at UC Berkeley that explores the foundations of AI.CS 188: Introduction to Artificial Intelligence (Summer 2025) is UC Berkeley’s core undergraduate AI course. The class introduces students to the fundamentals of artificial intelligence, including search, game trees, constraint satisfaction problems, probabilistic reasoning, decision-making, reinforcement learning, and machine learning. Students work through lectures, discussions, projects, and exams, building both theoretical understanding and practical skills in modern AI.
Online courses and programs in machine learning, natural language processing and more.
Learn IBM AI Engineering Professional Certificate from IBM. The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this ...
The twin goals of knowledge-based artificial intelligence (AI) are to build AI agents capable of human-level intelligence and gain insights into human cognition.
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