Free AI Courses by Topic A comprehensive collection of free AI courses organized by topics and subtopics. About This Collection: Venkata Pagadala has curated this comprehensive collection of free AI courses to help you navigate the rapidly evolving field of artificial intelligence. All links have been verified as active and free to access as of June 2025. The collection is organized hierarchically from broader concepts to specific subtopics, covering both foundational AI knowledge and the hottest trending topics in 2025. Each course entry includes a description, topics covered, key features, and verification of link status. Whether you're a beginner looking to start your AI journey or an experienced practitioner wanting to stay updated with the latest trends, this collection provides valuable resources to enhance your skills and knowledge. Last updated: June 2025 Overview of Topics  Machine Learning: Technology that enables computers to learn patterns from data and make predictions without being explicitly programmed. Deep Learning: Advanced machine learning using neural networks with multiple layers to process complex patterns in data. Natural Language Processing (NLP): An AI field focused on enabling computers to understand, interpret, and generate human language. Computer Vision: AI technology that allows computers to gain a high-level understanding from digital images and videos. Reinforcement Learning: A Learning approach where AI agents take actions to maximize rewards in a specific environment. AI Fundamentals: Core concepts and principles that form the foundation of artificial intelligence systems. Generative AI: AI systems that create new content like images, text, audio, or video based on training data. AI Agents: Autonomous software entities that perceive their environment and take actions to achieve goals. Multimodal AI: Systems that process and understand multiple types of data (text, images, audio) simultaneously. AI-Powered Social Media Tools: Applications using AI to enhance content creation, scheduling, and analytics for social platforms. Generative AI: AI systems that create new content like images, text, audio, and video  Augmented Reality + AI: The combination of AR technology with AI to create intelligent, context-aware experiences that understand and respond to the physical world. This enables more natural interactions between digital content and real environments. Quantum AI: The intersection of quantum computing and artificial intelligence, using quantum algorithms to potentially solve complex problems beyond classical computing capabilities. This emerging field could revolutionize machine learning with exponential speedups. AI Ethics and Responsible AI: The practice of designing, developing, and deploying AI systems with consideration for fairness, transparency, privacy, and societal impact. This ensures AI benefits humanity while minimizing potential harms. AI for Sustainability: Applications of AI to address environmental challenges like climate change, resource conservation, and biodiversity loss. These systems optimize energy use, predict environmental changes, and support sustainable decision-making. Edge AI and Decentralized Intelligence: AI processing that happens directly on local devices rather than in the cloud, enabling faster responses, enhanced privacy, and operation without constant internet connectivity. This approach distributes intelligence across networks of devices. FOUNDATIONAL AI TOPICS Machine Learning Google - Machine Learning Crash Course URL: https://developers.google.com/machine-learning/crash-course   Description: A self-study guide for aspiring machine learning practitioners with video lectures, real-world case studies, and hands-on practice exercises. Topics Covered: ML concepts, TensorFlow, feature engineering, classification, regression, neural networks Features: Interactive visualizations, coding exercises, real-world examples Harvard - Data Science: Machine Learning URL: https://pll.harvard.edu/course/data-science-machine-learning   Description: Learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system. Topics Covered: K-nearest neighbors, linear regression, logistic regression, random forests, regularization Features: Free audit option, Harvard faculty instruction, real-world projects MIT - Introduction to Machine Learning URL: https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about   Description: An introductory course covering the basic theory, algorithms, and machine learning applications. Topics Covered: Supervised learning, unsupervised learning, deep learning, reinforcement learning Features: MIT course materials, programming assignments, lecture videos Deep Learning Fast.ai - Practical Deep Learning for Coders URL: https://course.fast.ai/   Description: A course designed for people with coding experience who want to learn how to apply deep learning and machine learning to practical problems. Topics Covered: CNNs, RNNs, computer vision, NLP, tabular data, collaborative filtering Features: Top-down teaching approach, practical coding exercises, state-of-the-art techniques DeepLearning.AI - Deep Learning Specialization URL: https://www.deeplearning.ai/courses/   Description: A foundational program that helps you understand deep learning, apply it effectively, and build a career in AI. Topics Covered: Neural networks, optimization algorithms, CNN, RNN, LSTM, transformers Features: Free audit option, taught by Andrew Ng, programming assignments MIT - Introduction to Deep Learning URL: https://introtodeeplearning.com/   Description: An introductory course covering the foundations of deep learning methods with applications to computer vision, natural language processing, biology, and more. Topics Covered: Neural networks, CNN, RNN, self-supervised learning, generative models Features: MIT course materials, lecture videos, coding tutorials Natural Language Processing Stanford - CS224N: Natural Language Processing with Deep Learning URL: https://web.stanford.edu/class/cs224n/   Description: A course on the cutting-edge research in deep learning applied to NLP, focusing on neural networks and their applications. Topics Covered: Word vectors, dependency parsing, RNNs, machine translation, transformers, BERT Features: Stanford course materials, lecture videos, assignments Great Learning - Free NLP Courses URL: https://www.mygreatlearning.com/nlp/free-courses   Description: A collection of free courses covering various aspects of natural language processing. Topics Covered: Text preprocessing, sentiment analysis, language models, chatbots, transformers Features: Free certification, hands-on projects, beginner-friendly Computer Vision OpenCV - Free Computer Vision Courses URL: https://opencv.org/university/free-courses/   Description: A collection of free courses covering computer vision fundamentals and applications using OpenCV. Topics Covered: Image processing, object detection, feature extraction, tracking, OpenCV programming Features: Hands-on tutorials, practical examples, industry-standard library Hugging Face - Computer Vision Course URL: https://huggingface.co/learn/computer-vision-course/en/unit0/welcome/welcome   Description: A comprehensive course on modern computer vision techniques using transformers and pre-trained models. Topics Covered: Image classification, object detection, segmentation, transformers for vision Features: Interactive notebooks, practical examples, state-of-the-art models Reinforcement Learning Hugging Face - Deep Reinforcement Learning Course URL: https://huggingface.co/learn/deep-rl-course/en/unit0/introduction   Description: A free course designed to learn deep reinforcement learning in a hands-on way. Topics Covered: Q-Learning, policy gradients, actor-critic methods, PPO, SAC Features: Interactive environments, coding exercises, community challenges Stanford - CS234: Reinforcement Learning URL: https://web.stanford.edu/class/cs234/   Description: A course covering the fundamentals of reinforcement learning and its applications. Topics Covered: MDPs, dynamic programming, Monte Carlo methods, TD learning, function approximation Features: Stanford course materials, lecture videos, assignments AI Fundamentals Elements of AI - University of Helsinki  URL: https://www.elementsofai.com/   Description: A series of free online courses created by Reaktor and the University of Helsinki to demystify AI. Topics Covered: AI basics, problem solving, real-world applications, machine learning, neural networks Features: No coding required, interactive exercises, university certificate Microsoft - AI for Beginners URL: https://microsoft.github.io/AI-For-Beginners/   Description: A 12-week curriculum about artificial intelligence basics. Topics Covered: Symbolic AI, neural networks, computer vision, NLP, reinforcement learning Features: Lesson slides, code examples, quizzes, assignments TRENDING AI TOPICS 2025 Generative AI Google Cloud - Introduction to Generative AI URL: https://www.cloudskillsboost.google/course_templates/536   Description: An introductory level microlearning course explaining what Generative AI is, how it's used, and how it differs from traditional machine learning methods. Topics Covered: Generative AI fundamentals, use cases, Google tools for Gen AI app development Duration: 45 minutes Features: Completion badge, introductory level content Microsoft - Generative AI for Beginners URL: https://microsoft.github.io/generative-ai-for-beginners/   Description: A comprehensive 21-lesson course teaching everything needed to start building Generative AI applications. Topics Covered: LLMs, prompt engineering, text generation, chat applications, image generation, RAG, AI agents, fine-tuning Features: Video lessons, code samples in Python and TypeScript, multi-language support AI Agents and Autonomous Systems Hugging Face - AI Agents Course URL: https://huggingface.co/learn/agents-course/en/unit0/introduction   Description: A comprehensive free course taking you from beginner to expert in understanding, using, and building AI agents. Topics Covered: Agent fundamentals, frameworks (smolagents, LangGraph, LlamaIndex), use cases, observability and evaluation Features: Hands-on exercises, certification option, community challenges, Discord study groups Multimodal AI Simplilearn - Free Multimodal RAG Course URL: https://www.simplilearn.com/free-multimodal-rag-course-skillup   Description: An introduction to integrating text, images, and audio data into retrieval-augmented generation (RAG) systems. Topics Covered: Designing multimodal AI models, data integration, building and training RAG models, evaluation techniques Duration: 2 hours of self-paced video lessons Features: Completion certificate, 90 days of access, beginner-friendly content AI-Powered Social Media Tools Great Learning - Basics of Social Media Automation URL: https://www.mygreatlearning.com/academy/learn-for-free/courses/basics-of-social-media-automation   Description: Learn to streamline content creation, management, and engagement with AI-powered social media automation tools. Topics Covered: AI tools for content creation, social media management tools, email marketing automation, workflow optimization Duration: 1.5 hours Features: Free course content, completion certificate option, self-paced learning Augmented Reality + AI Unity - Mobile AR Development URL: https://learn.unity.com/pathway/mobile-ar-development   Description: A comprehensive learning pathway to create augmented reality applications compatible with iOS and Android devices. Topics Covered: AR development fundamentals, visual scripting, Unity's AR tools, mobile deployment Duration: Approximately 1h 45m Features: Free access, hands-on tutorials, project-based learning Quantum AI openHPI - Quantum Machine Learning with IBM Quantum Research URL: https://www.classcentral.com/course/openhpi-quantum-machine-learning-with-ibm-quantum-research-121068   Description: An interdisciplinary course exploring the intersection of quantum computing and machine learning. Topics Covered: Parameterized quantum models, training algorithms, quantum support vector machines, variational quantum classifiers Duration: 2 weeks Features: Free online course, certificate available, advanced-level content AI Ethics and Responsible AI University of Helsinki - Ethics of AI URL: https://ethics-of-ai.mooc.fi/   Description: A comprehensive free course exploring the ethical aspects of artificial intelligence for anyone interested in AI ethics. Topics Covered: Ethical frameworks, AI transparency, fairness, privacy, accountability, sustainable AI development Features: Self-paced learning, accessible to all backgrounds, practical ethical thinking skills AI for Sustainability LinkedIn Learning - An Introduction to AI and Sustainability URL: https://www.linkedin.com/learning/an-introduction-to-ai-and-sustainability   Description: A course exploring how AI can help achieve sustainability targets like net zero emissions while protecting and restoring nature. Topics Covered: AI for carbon emission reduction, renewable energy access, waste reduction, biodiversity protection Duration: 41 minutes Features: Free course content, exercise files, completion certificate option Edge AI and Decentralized Intelligence Intel - Edge AI Fundamentals with OpenVINO URL: https://www.classcentral.com/course/udacity-intel-edge-ai-fundamentals-with-openvino-19456   Description: Learn practical skills for deploying edge AI using Intel's OpenVINO toolkit for computer vision applications. Topics Covered: Pre-trained models, model optimization, inference engine, edge application deployment Duration: 4 weeks Features: Free online course, hands-on projects, industry-relevant skills