Learners will analyze language and vision data, apply AI models, evaluate generative outputs, and implement scalable deployment strategies across real-world environments. This comprehensive course empowers learners to understand how NLP, Computer Vision, Robotics, and Generative AI work together to drive modern intelligent systems.
Master AI Skills: Analyze, Build & Deploy Systems
只需 199 美元（原价 399 美元）即可通过 Coursera Plus 学习更高水平的技能。立即节省
您将学到什么
Analyze language and vision data using NLP, Computer Vision, and Generative AI models.
Build and evaluate GenAI workflows, including hallucination handling and output optimization.
Deploy scalable AI solutions using modern platforms and real-world deployment strategies.
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
January 2026
作业
19 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 Technologies, Tools & Cloud Certification Specialization 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5个模块
This module introduces learners to the core concepts of Natural Language Processing (NLP) and Computer Vision, exploring how machines process, interpret, and generate human language and visual information. Learners gain foundational skills in text preprocessing, classification, language models, image analysis, and feature extraction, setting the stage for more advanced AI applications.
涵盖的内容
11个视频4个作业
This module explores how Artificial Intelligence powers modern robotics, focusing on perception, decision-making, and autonomous control. Learners examine sensor systems, AI-driven robotic reasoning, and reinforcement learning, gaining insight into how intelligent robots operate in dynamic environments.
涵盖的内容
5个视频3个作业
This module examines the capabilities and limitations of Generative AI models, including how they produce creative outputs and why hallucinations occur. Learners investigate types of hallucinations, their causes, detection techniques, and mitigation strategies supported by real-world case studies and assessment activities.
涵盖的内容
9个视频4个作业
This module guides learners through the practical integration and deployment of Generative AI systems across various platforms and workflows. Topics include deployment planning, vendor evaluation, security considerations, scalability, hands-on implementation, and scenario-based decision-making for enterprise environments.
涵盖的内容
11个视频4个作业
This module introduces a broad ecosystem of modern AI tools that enhance creativity, productivity, automation, and professional workflows. Learners explore multimodal tools, automation platforms, refinement techniques, and professional AI solutions that support advanced content creation and digital innovation.
涵盖的内容
11个视频4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
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自 2021开始学习的学生
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常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金，