This comprehensive Artificial Intelligence and Deep Learning program will equip you with the knowledge and practical skills to thrive in the rapidly evolving AI landscape. You’ll master AI fundamentals, machine learning techniques, and deep learning frameworks to address real-world challenges and drive innovation.
AI & Deep Learning Concepts and Applications
AI & Deep Learning Concepts and Applications
2,134 人已注册
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您将学到什么
Master AI fundamentals, applications, and key machine learning types.
Understand neural networks, their types, and real-world applications.
Build and deploy neural network models using TensorFlow and Python.
Explore AI ethics, risks, and its transformative future potential.
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要了解的详细信息
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作业
2 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 AI ML with Deep Learning and Supervised Models 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有2个模块
This comprehensive Artificial Intelligence and Deep Learning program will equip you with the knowledge and practical skills to thrive in the rapidly evolving AI landscape. You’ll master AI fundamentals, machine learning techniques, and deep learning frameworks to address real-world challenges and drive innovation. Guided by experts, you’ll acquire practical skills and insights to apply AI, Machine Learning, and Deep Learning technologies effectively across diverse domains.
涵盖的内容
12个视频3篇阅读材料1个作业
Explore deep learning, neural networks, TensorFlow, and reinforcement learning to build AI-driven models.
涵盖的内容
14个视频1篇阅读材料1个作业
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人们为什么选择 Coursera 来帮助自己实现职业发展
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自 2018开始学习的学生
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自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
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''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
常见问题
Deep learning is a subset of AI that uses neural networks to mimic the way humans learn. It processes large datasets through layers of algorithms to identify patterns, enabling tasks like image recognition, natural language processing, and autonomous driving.
Yes, you can gain a foundational understanding of AI concepts, tools, and techniques in 3 months with a focused learning plan. However, mastering advanced AI topics or applying AI in real-world projects may take more time and practice.
Yes, coding is essential for AI, as it involves programming languages like Python to build algorithms, train models, and work with AI frameworks like TensorFlow or PyTorch. However, beginners can start with no-code AI tools to understand the basics.
更多问题
提供助学金，