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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-in-a-weekend/
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课程名称：周末人工智能：开启未来 [2025] 课程概述：欢迎参加我们的人工智能综合课程！在这里，您将深入了解人工智能（AI）、机器学习（ML）、深度学习（DL）、自然语言处理（NLP）、大型语言模型（LLM）以及前沿AI技术，如生成性AI、ChatGPT、长短期记忆网络（LSTM）和变换器（Transformers）。此课程适合所有学习者，涵盖现代AI应用所需的基本原理和高级技术。 在本课程中，您将探索以下内容： 1. 人工智能：了解AI的基础知识及其对各行业、职业和日常生活的影响。 2. 机器学习：学习监督学习、半监督学习、非监督学习和强化学习技术，包括回归、分类和聚类模型，以及来自数据科学的实际应用，如计算机视觉。 3. 深度学习：探讨人工神经网络（ANN）、卷积神经网络（CNN）、递归神经网络（RNN）和长短期记忆网络（LSTM），掌握感知机、反向传播、梯度下降等概念。 4. 自然语言处理（NLP）：了解机器如何理解和生成自然语言，从词袋模型到先进的变换器模型及其应用。 5. 大型语言模型（LLM）：深入了解支持AI文本生成的强大模型、提示工程及特定领域应用的微调。 6. 新兴AI技术：掌握云AI、生成性AI、ChatGPT、CoPilot、Gemini、自编码器、自组织映射、玻尔兹曼机等最新发展。 无论您是希望开始AI旅程的初学者，还是希望深入知识的经验丰富的专业人士，本课程都将为您提供成功所需的技能和工具。课程结束时，您将能够理解AI/ML模型，理解大规模NLP系统，并利用云计算为您的AI解决方案提供支持！ 本课程无需技术、编码或数学背景！复杂主题被拆分为易于理解的课程，帮助各个背景的人理解AI的核心原则和应用。期待在课程中见到您！ Omer
Welcome to our comprehensive course on Artificial Intelligence! You will dive into the world of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), Data Science, and cutting-edge AI technologies such as Generative AI, ChatGPT, LSTM, and Transformers. Designed for learners of all levels, this course covers the fundamental principles and advanced techniques that power modern AI applications.In this course, you will explore:Artificial Intelligence: Understand the basics of AI and its impact on industries, careers, and everyday life.Machine Learning: Learn about supervised, semi-supervised, unsupervised, and reinforcement learning techniques, including regression, classification, and clustering models, along with practical applications from data science such as computer vision, Deep Learning: Explore Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-term Memory Networks (LSTM), mastering concepts like perceptron, backpropagation, gradient descent, and more.Natural Language Processing (NLP): Discover how machines understand and generate human language, from Bag of Words to advanced transformer models and NLP applications.Large Language Models (LLM): Gain insights into the powerful models behind AI text generation, prompt engineering, and fine-tuning for domain-specific applications.Emerging AI Technologies: Stay ahead with the latest developments in cloud AI, generative AI, ChatGPT, CoPilot, Gemini, Autoencoders, Self-Organizing Maps, Boltzmann Machines, and more.Whether you're a beginner looking to start your AI journey or an experienced professional aiming to deepen your knowledge, this course will equip you with the skills and tools to succeed in the ever-evolving field of artificial intelligence. By the end of the course, you'll be able to understand AI/ML models, understand large-scale NLP systems, and leverage cloud computing to power your AI solutions!No technical, coding or math background is needed!Complex topics are broken into digestible lessons, helping people from all backgrounds understand AI core principles and applications.I can't wait to see you in the course!Omer
