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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.
Artificial Intelligence Courses Online. Explore AI courses that cover skills like machine learning, data analysis, and neural networks. Build expertise for careers in AI research, robotics, and data science. Explore the AI Course Catalog. IBM. Introduction to Artificial Intelligence (AI)
人工智能 (AI) 和機械人技術概述 機器學習 (Machine Learning) 基礎 工智能機械人視覺導論 人工智能的道德和法律議題 單元 2 60 小時 機械人及機電一體化 逆運動學和定位概念 機械人設計概念 檢測裝置，移動性和運動 人機介面基礎
Course. AI Essentials. In under 10 hours of self-paced study, you’ll learn how to use generative AI tools to help boost productivity and enhance your work. You’ll also learn how to write effective prompts and use AI responsibly by identifying AI’s potential biases and avoiding harm. Course curriculum: Introduction to AI.
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.
Google AI Essentials is a self-paced course on Coursera, teaching essential AI skills to boost productivity. Learn from Google experts to use AI tools in real-world scenarios, from idea generation to email drafting.
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. Enroll for Free. Starts Oct 7. Financial aid available. 124,830 already enrolled. Included with.
