The Full Stack VS DeepLearning.AI
The Full Stack VS DeepLearning.AI对比，The Full Stack 和 DeepLearning.AI 有什么区别？
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总结
The Full Stack 总结
The Full Stack 着陆页
DeepLearning.AI 总结
DeepLearning.AI 着陆页
比较详细信息
The Full Stack 详细信息
| 类别 | AI课程, 大语言模型 LLMs, 提示词工程, AI开发者工具, AI新闻 |
| The Full Stack 网站 | https://fullstackdeeplearning.com?utm_source=toolify |
| 添加时间 | 2024年7月27日 |
| The Full Stack 定价 | -- |
DeepLearning.AI 详细信息
| 类别 | AI课程, AI资讯简报, AI工具导航 |
| DeepLearning.AI 网站 | https://www.deeplearning.ai?utm_source=toolify |
| 添加时间 | 2026年6月10日 |
| DeepLearning.AI 定价 | -- |
使用情况比较
如何使用 The Full Stack？
Users can explore the website to access news articles, join the community, and enroll in courses like the LLM Bootcamp or Deep Learning Course. The site also offers resources on cloud GPUs and various aspects of AI product development, such as prompt engineering, LLMOps, and UX design.
如何使用 DeepLearning.AI？
To use DeepLearning.AI, browse the catalog and choose from foundational courses or specialized short courses. Create an account using your email, Google, or LinkedIn profile to enroll. Once inside a course, watch video lectures, configure your viewing preferences like speed and captions, and practice active learning by writing code and completing hands-on projects within the integrated notebook workspace. You can monitor your study milestones using the 'My Learning' dashboard, interact with other practitioners in the community forum, and complete the coursework to earn professional certificates that can be showcased to potential employers.
比较 The Full Stack 和 DeepLearning.AI 的优势
The Full Stack的核心功能
- News and articles related to AI-powered products
- Community forum for sharing best practices
- LLM Bootcamp for building applications powered by LLMs
- Deep Learning Course (FSDL) for building AI-powered products from scratch
- Resources on cloud GPUs and other AI development tools
DeepLearning.AI的核心功能
- Over 150 on-demand AI courses, foundational tracks, and Professional Certificates
- Hands-on interactive learning labs and coding projects embedded directly in workspaces
- Curriculum curated and taught by Andrew Ng alongside vetted engineers from top companies like OpenAI and Anthropic
- Continuous weekly content updates and specialized short courses targeting the latest agentic frameworks and LLM deployment patterns
- A global, interactive community forum consisting of over 10 million learners for collaboration and peer support
- The Batch, a premier weekly newsletter summarizing the most critical news, insights, and career trends in the AI landscape
比较使用案例
The Full Stack的使用案例
- Learning best practices for building AI-powered applications
- Staying up-to-date with the latest news and trends in AI product development
- Connecting with other professionals in the AI community
- Developing skills in areas like prompt engineering, LLMOps, and UX design for AI
- Building AI applications from the ground up using deep neural networks
DeepLearning.AI的使用案例
- Software engineers looking to master agentic workflows, production deployment patterns, and advanced AI coding tools
- Product managers seeking to evaluate AI capabilities, design reliable user experiences, and make informed technical estimates
- Beginners or non-technical professionals utilizing specialized introductory tracks to learn Python coding and build basic custom AI automation workflows
- Freelancers and machine learning engineers building verifiable project portfolios to validate technical skills for employers or clients
The Full Stack和DeepLearning.AI的不同计划
The Full Stack
对不起，没有数据
DeepLearning.AI
$0.00
Access all course videos, learn from industry-leading instructors, connect with the community of builders, and receive the weekly AI news via The Batch.
$30.00/mo
Billed monthly (regularly $50.00/mo, save 40%). Includes everything in Free, plus hands-on labs, Professional Certificates, self-paced work saving, portfolio building, exclusive courses from Andrew Ng, and personalized feedback.
$25.00/mo
$300.00 billed annually (regularly $50.00/mo, save 50%). Includes everything in Free, plus hands-on labs, Professional Certificates, self-paced work saving, portfolio building, exclusive courses from Andrew Ng, and personalized feedback.
The Full Stack的流量
The Full Stack 是月访问量为 64.8K 且平均访问时长为 00:00:18 的工具。 The Full Stack 的每次访问页数为 1.89，跳出率为 41.88%。
最新流量情况
| 月访问量 | 64.8K |
| 平均·访问时长 | 00:00:18 |
| 每次访问页数 | 1.89 |
| 跳出率 | 41.88% |
DeepLearning.AI的流量
DeepLearning.AI 是月访问量为 3.4M 且平均访问时长为 00:04:40 的工具。 DeepLearning.AI 的每次访问页数为 3.95，跳出率为 48.84%。
最新流量情况
| 月访问量 | 3.4M |
| 平均·访问时长 | 00:04:40 |
| 每次访问页数 | 3.95 |
| 跳出率 | 48.84% |
地理位置
The Full Stack 的前 5 个国家/地区是：India 16.48%, United States 13.57%, United Kingdom 7.76%, Vietnam 7.07%, Nigeria 6.02%
Top 5 国家/地区
 | 16.48% |
 | 13.57% |
 | 7.76% |
 | 7.07% |
 | 6.02% |
地理位置
DeepLearning.AI 的前 5 个国家/地区是：United States 25.89%, India 17.17%, China 4.63%, United Kingdom 2.88%, Canada 2.75%
Top 5 国家/地区
| 25.89% |
| 17.17% |
 | 4.63% |
| 2.88% |
 | 2.75% |
流量来源
The Full Stack 的 6 个主要流量来源是：直接访问 36.06%, vs_sourcesSocialOrganic 27.35%, vs_sourcesSearchOrganic 19.27%, vs_sourcesGenAi 10.82%, 外链引荐 5.74%, 邮件 0.50%, vs_sourcesSocialPaid 0.26%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%
直接访问 | 36.06% |
vs_sourcesSocialOrganic | 27.35% |
vs_sourcesSearchOrganic | 19.27% |
vs_sourcesGenAi | 10.82% |
外链引荐 | 5.74% |
邮件 | 0.50% |
vs_sourcesSocialPaid | 0.26% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
流量来源
DeepLearning.AI 的 6 个主要流量来源是：直接访问 51.13%, vs_sourcesSearchOrganic 17.28%, 外链引荐 13.15%, vs_sourcesSocialOrganic 8.67%, 邮件 3.49%, vs_sourcesGenAi 3.25%, vs_sourcesSocialPaid 1.46%, vs_sourcesDisplayAds 1.17%, vs_sourcesAffiliate 0.24%, vs_sourcesSearchPaid 0.17%
直接访问 | 51.13% |
vs_sourcesSearchOrganic | 17.28% |
外链引荐 | 13.15% |
vs_sourcesSocialOrganic | 8.67% |
邮件 | 3.49% |
vs_sourcesGenAi | 3.25% |
vs_sourcesSocialPaid | 1.46% |
vs_sourcesDisplayAds | 1.17% |
vs_sourcesAffiliate | 0.24% |
vs_sourcesSearchPaid | 0.17% |
The Full Stack 或 DeepLearning.AI哪个更好？
DeepLearning.AI 可能比 The Full Stack 更受欢迎。如您所见，The Full Stack 每月有 64.8K 次访问，而 DeepLearning.AI 每月有 3.4M 次访问。 所以更多的人选择了DeepLearning.AI。 因此，人们很可能会在社交平台上更多地推荐 DeepLearning.AI。
The Full Stack 的平均访问持续时间为 00:00:18，而 DeepLearning.AI 的平均访问持续时间为 00:04:40。 此外，The Full Stack 的每次访问页面为 1.89，跳出率为 41.88%。 DeepLearning.AI 的每次访问页面为 3.95，跳出率为 48.84%。
The Full Stack 的主要用户是India, United States, United Kingdom, Vietnam, Nigeria，分布如下：16.48%, 13.57%, 7.76%, 7.07%, 6.02%。
DeepLearning.AI 的主要用户是 United States, India, China, United Kingdom, Canada，分布如下：25.89%, 17.17%, 4.63%, 2.88%, 2.75%。
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