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Course Contents. Deep learning fundamentals in AI. How deep learning works. Cover popular models like CNN, RNN, LSTM, GAN and transfer learning. Development tools: Scikit-learn,Tensorflow and Keras. Different AI platforms and their APIs. Mobile AI applications (online) and Tensorflow Lite (offline) Speaker Profile.
Beginners can start with introductory classes covering machine learning, data analysis, and AI ethics. More experienced learners can earn certificates in tools like TensorFlow and Python. Certifications help showcase expertise in areas like natural language processing (NLP) and computer vision.
With Google AI Essentials, you’ll learn how to use generative AI tools to help speed up daily tasks, make more informed decisions, and develop new ideas and content. Get started on. Discover what you'll learn in the course. Learn from AI experts at Google. Complete at your own pace.
CS50's Introduction to Artificial Intelligence with Python. Learn to use machine learning in Python in this introductory course on artificial intelligence. Free * 7 weeks long. Available now. Computer Science. Online. Machine Learning and AI with Python.
IBM AI Developer Professional Certificate. Kickstart your career in artificial intelligence. Build job-ready skills in AI technologies, generative AI models, and programming and learn to build AI-powered chatbots and apps in just 6 months. Instructors: IBM Skills Network Team. +10 more.
Certificate in AI and Robotics (Senior Secondary Applied Learning) 人工智能與機械人 (高中應用學習)證書. 課程編號. IT088A. 資歷架構級別. 人工智能與機械人 (高中應用學習)證書 (資歷架構第3級) 資歷架構級別: 3資歷名冊登記號碼: 21/001428/L3資歷名冊登記有效期: 2022年1月1日 - 2029 ...
These courses and programs provide the foundational and advanced skills needed to accelerate your career in AI. Topics include machine learning, deep generative models, neural networks, and natural language processing and understanding.
