# DeepLearning.AI vs Machine learning at scale

DeepLearning.AI records 2,562,512 monthly visits with -7.2% month-over-month growth and Freemium pricing. Machine learning at scale records 0 monthly visits with 0% growth and Freemium pricing.

| Metric | [DeepLearning.AI](https://openaitools.app/tool/deeplearning-ai) | [Machine learning at scale](https://openaitools.app/tool/machine-learning-at-scale) |
| :--- | :--- | :--- |
| Website URL | https://www.deeplearning.ai | https://machinelearningatscale.com |
| Categories | AI Course, AI Newsletter, AI Tools Directory | AI Tutorial, AI Course, Large Language Models (LLMs), AI Developer Tools |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 2,562,512 | 0 |
| MoM Growth Rate | -7.2% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 1,358,285 | 0 |
| Review Score | 4.7 | 4.6 |
| Saved Count | 0 | 2 |
| Supported Platforms | Website | Website |

## DeepLearning.AI

DeepLearning.AI grew out of Andrew Ng's popular machine learning lectures and became a dedicated education brand for people who want practical AI skills. The catalog ranges from beginner material such as AI Python for Beginners to advanced courses on transformers, LLM inference, and building agentic applications, with a strong emphasis on hands-on practice rather than theory alone.

The platform is model-agnostic: courses teach concepts and workflows you can apply with whatever tool or framework you prefer, from classical machine learning to modern generative AI and agent frameworks. Short courses make it easy to learn a single topic in an afternoon, while full specializations and professional certificates support longer career development paths.

Beyond video lessons, DeepLearning.AI publishes "The Batch," a widely read weekly newsletter written by technical experts, and maintains an active community forum. A Pro membership unlocks all course videos, coding labs, quizzes, and industry-recognized certificates, with a Team Plan available for organizations that want to train groups of employees.

**Pricing & Plans:** Freemium. Many course videos can be watched for free, and The Batch newsletter is free to subscribe to. A paid Pro membership adds hands-on coding labs, practice quizzes, exclusive courses, and professional certificates, with a separate Team Plan for larger organizations. Check the official pricing page for current rates.

- **130+ courses and specializations:** A broad catalog covering machine learning, deep learning, transformers, generative AI, prompting, and agentic AI, with tracks for data/ML practitioners, software developers, and complete beginners.
- **Professional certificates:** Industry-recognized certificates and specializations designed to signal job-ready skills, supported by coding labs and portfolio projects you can show in interviews.
- **The Batch newsletter:** A free weekly newsletter written by technical experts that summarizes the most important AI news, research, and analysis for developers and practitioners.
- **Hands-on coding labs:** Pro members get interactive labs and practice quizzes so they can apply each concept immediately rather than only watching lectures.
- **Learning paths and community:** Goal-based learning paths plus an active forum let learners plan a route from their current level to their target role and get help along the way.

**Strengths:** Founded and taught with input from Andrew Ng, a widely trusted figure in AI education; Very broad catalog spanning beginner basics through advanced generative AI and agent systems; Free videos and a free newsletter make it easy to evaluate before paying; Hands-on labs, certificates, and portfolio projects add practical credibility

**Limitations:** The most valuable features such as coding labs and certificates sit behind the Pro membership; Advanced specializations require a real time commitment to finish; Some brand-new topics are covered as short courses rather than full-depth curricula

[Profile (Markdown)](https://openaitools.app/tool/deeplearning-ai.md)

## Machine learning at scale

Machine Learning at Scale is a newsletter and learning resource published by Ludo, a machine learning engineer at Google. Its stated goal is to help readers become '10x' ML engineers by going beyond introductory tutorials and into the realities of running machine learning in production: how systems are designed, where they break, and which patterns scale.

The content programme is organised around case studies, design patterns, deep dives and career advice. Topics include LLM inference at scale, recommendation systems, search and ranking, RAG in the AI era, and ads systems, alongside coming-soon deep dives into machine learning systems. The author draws on experience fighting abuse at 500k QPS, pretraining and fine-tuning transformer models, working on end-to-end YouTube Ads systems, applying ML at CERN, and a computer-vision thesis at Volvo.

Community and career support are part of the offering: a growing base of ML engineers from leading companies subscribe weekly, and the site includes an FAQ on getting started with ML, getting into big tech, MLE versus data scientist roles, and whether a PhD is necessary. Extra resources include an upcoming MLSys course, a YouTube channel and curated book recommendations.

**Pricing & Plans:** Freemium. The newsletter and much of the resource library (articles, FAQ, career advice) are free to read, with email subscription; the site also references paid offerings such as a course.

- **Case studies and design patterns:** Read breakdowns of ML systems design, LLM inference at scale, recommendation systems, search and ranking, ads systems, and RAG.
- **Weekly newsletter:** Get weekly high-quality insights and practical guidance written by an ML engineer working on large-scale production systems.
- **ML systems deep dives:** Deep dives into LLM optimisation, LLM training and ML system design for engineers moving beyond tutorials.
- **ML career advice and FAQ:** Guidance on getting started in ML, breaking into big tech, choosing between MLE and data scientist paths, and whether a PhD is worth it.
- **Course, YouTube channel and book picks:** Supplement your reading with a dedicated MLSys course, a YouTube channel, curated book recommendations, and ML jobs listings.

**Strengths:** Written by a practising ML engineer at Google; Focuses on production ML systems rather than toy examples; Free weekly newsletter with a large readership of ML engineers; Practical career guidance on breaking into big tech and MLE roles

[Profile (Markdown)](https://openaitools.app/tool/machine-learning-at-scale.md)

## Frequently Asked Questions

### How do DeepLearning.AI and Machine learning at scale compare in monthly traffic?

DeepLearning.AI has 2,562,512 monthly visits, while Machine learning at scale has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DeepLearning.AI has a month-over-month growth rate of -7.2%; Machine learning at scale has 0%.

### How does pricing compare?

DeepLearning.AI: Freemium. Freemium. Many course videos can be watched for free, and The Batch newsletter is free to subscribe to. A paid Pro membership adds hands-on coding labs, practice quizzes, exclusive courses, and professional certificates, with a separate Team Plan for larger organizations. Check the official pricing page for current rates. Machine learning at scale: Freemium. Freemium. The newsletter and much of the resource library (articles, FAQ, career advice) are free to read, with email subscription; the site also references paid offerings such as a course.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DataCamp](https://openaitools.app/tool/datacamp-com) | 6,237,230 | -0.4% | Freemium | Offers comprehensive interactive data science and AI courses with certifications, but operates on a paid subscription model. | [.md](https://openaitools.app/tool/datacamp-com.md) |
| 2 | [Skillsoft Percipio](https://openaitools.app/tool/percipio-com) | 2,074,505 | +16.4% | Contact for Pricing | Delivers enterprise-grade AI learning paths and professional courses, but is designed for corporate workforce training rather than individuals. | [.md](https://openaitools.app/tool/percipio-com.md) |
| 3 | [The Rundown AI](https://openaitools.app/tool/the-rundown-ai) | 1,018,070 | +28.6% | Free | The top AI news and how to apply it, in five minutes a day | [.md](https://openaitools.app/tool/the-rundown-ai.md) |
| 4 | [OpenAI Academy](https://openaitools.app/tool/openai-academy) | 937,379 | -6.3% | Free | Free courses, live events and community for building real AI skills | [.md](https://openaitools.app/tool/openai-academy.md) |
| 5 | [LabLab.ai](https://openaitools.app/tool/lablab-ai) | 431,529 | -39.7% | Free | Hosts hands-on AI hackathons and developer tutorials, emphasizing rapid project building over academic video lectures. | [.md](https://openaitools.app/tool/lablab-ai.md) |
| 6 | [fast.ai](https://openaitools.app/tool/fast-ai) | 250,720 | -10.4% | Free | Free practical deep learning courses, research and open-source libraries | [.md](https://openaitools.app/tool/fast-ai.md) |
| 7 | [Learn Prompting](https://openaitools.app/tool/learn-prompting) | 159,807 | -8.6% | Freemium, Free Trial, Contact for Pricing | Free open course for prompt engineering and AI security | [.md](https://openaitools.app/tool/learn-prompting.md) |
| 8 | [Open Data Science (ODS.ai)](https://openaitools.app/tool/ods-ai) | 159,630 | +15.9% | Free | Community hub for data science, machine learning and AI practitioners | [.md](https://openaitools.app/tool/ods-ai.md) |
| 9 | [The Full Stack (fullstackdeeplearning.com)](https://openaitools.app/tool/fullstackdeeplearning-com) | 46,082 | +6.6% | Free (educational content) | Courses and best practices for building AI-powered products end to end | [.md](https://openaitools.app/tool/fullstackdeeplearning-com.md) |
| 10 | [Creators' AI](https://openaitools.app/tool/creators-ai) | 20,308 | -22.1% | Paid, Contact for Pricing | An AI newsletter with curated tools, news and guides for creators and founders | [.md](https://openaitools.app/tool/creators-ai.md) |

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Source: https://openaitools.app/compare/deeplearning-ai-vs-machine-learning-at-scale

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