Deep Learning

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Artificial Intelligence in Bioinformatics (FutureLearn) FutureLearn
Taipei Medical University

Artificial Intelligence in Bioinformatics (FutureLearn)

Dive into the intersection of technology and biology with 'Artificial Intelligence in Bioinformatics'. This FutureLearn course explores how artificial intelligence is revolutionizing bioinformatics, enabling deeper insights into biological processes. From machine learning techniques to deep learning applications, you'll gain a solid foundation in applying AI to complex biological data sets.

Self Paced
3 Weeks
AI for Everyone: Master the Basics (edX) EdX
IBM

AI for Everyone: Master the Basics (edX)

Dive into the world of Artificial Intelligence (AI) with our beginner-friendly course 'AI for Everyone: Master the Basics'. Gain a comprehensive understanding of AI's key principles, including machine learning, deep learning, and neural networks. Whether you're curious about AI's impact on society or looking to apply these concepts in your professional life, this course is designed to equip you with the foundational knowledge needed to navigate the exciting field of artificial intelligence.

Self Paced
Self-Paced
Intelligent Systems: An Introduction to Deep Learning and Autonomous Systems (FutureLearn) FutureLearn
University of York

Intelligent Systems: An Introduction to Deep Learning and Autonomous Systems (FutureLearn)

Dive into the fascinating realm of Intelligent Systems with this FutureLearn course. Uncover how deep learning is revolutionizing fields from healthcare to transportation, and understand the principles that drive these autonomous systems. This course provides a comprehensive introduction to the concepts, applications, and ethical implications of AI technologies.

Self Paced
3 Weeks
AI Strategy and Governance (Coursera) Coursera
University of Pennsylvania

AI Strategy and Governance (Coursera)

Embark on a journey to master Artificial Intelligence (AI) with our strategic course designed to equip you with the knowledge needed to transform your business. This course delves into AI strategies for gaining a competitive edge, explores its practical applications in enterprise settings, and emphasizes the significance of explainable AI. Learn how to build responsible AI governance algorithms and effectively manage large datasets to drive impactful change within your organization.

Jul 20th 2026
4 Weeks
AI Fundamentals for Non-Data Scientists (Coursera) Coursera
University of Pennsylvania

AI Fundamentals for Non-Data Scientists (Coursera)

Dive into the world of Artificial Intelligence without needing a background in data science. This course is tailored for those looking to integrate AI fundamentals into their professional or personal projects. From understanding Machine Learning algorithms to implementing Deep Learning techniques using tools like TensorFlow and Teachable Machine, this course equips you with the knowledge to harness the potential of AI.

Jul 20th 2026
4 Weeks
Deep Learning Applications for Computer Vision (Coursera) Coursera
University of Colorado Boulder

Deep Learning Applications for Computer Vision (Coursera)

Dive into the world of Deep Learning Applications for Computer Vision with this expert-led course on Coursera. Designed for those seeking to harness the potential of artificial intelligence in visual data processing, this program offers a structured pathway to mastering complex computer vision techniques using deep learning methodologies. Whether you're a data scientist aiming to expand your expertise or a professional eager to innovate within your field, this course provides the knowledge and practical skills necessary to tackle real-world challenges with image recognition, object detection, and more.

Jul 20th 2026
5-12 Weeks
Introduction to Bayesian Statistics Using R (edX) EdX
University of Canterbury,UCx

Introduction to Bayesian Statistics Using R (edX)

Embark on a foundational exploration of Bayesian statistics with this introductory course designed for beginners. Master the basics of Bayesian Data Analysis and practice solving practical problems using R, setting the stage for advanced studies in data analysis across various fields such as epidemiology, ecology, economics, and political sciences.

Self Paced
Self-Paced