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ai-engineering-from-scratch Review

AI Engineering from Scratch is a comprehensive, hands-on curriculum designed to teach AI engineering by building every core AI algorithm from foundational mathematics before introducing frameworks.

shipped May 26, 2026aifreemium
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ai-engineering-from-scratch — product screenshot

Why it matters

1Features 503 runnable lessons across 20 distinct phases of AI engineering.
2Supports multi-language implementation in Python, TypeScript, Rust, and Julia.
3Emphasizes building AI algorithms from raw mathematical principles, not just API calls.
4Each lesson culminates in a reusable artifact for practical application.

Stork’s verdict on ai-engineering-from-scratch

Its comprehensive, from-scratch AI curriculum builds deep understanding, but some lessons are still incomplete.

ai-engineering-from-scratch reviewed by Stork AI · stork.ai/en/ai-engineering-from-scratch

About ai-engineering-from-scratch

Target Audience
Individuals interested in learning AI engineering

overview

What is ai-engineering-from-scratch?

ai-engineering-from-scratch is a comprehensive AI education and development tool maintained by Rohit Ghumare and a community of contributors that enables engineers and students to learn, build, and ship AI systems from foundational mathematics. It provides a hands-on curriculum with 503 lessons across 20 phases, covering a full AI engineering stack including math, ML, deep learning, NLP, vision, transformers, LLMs, agents, and swarms. The core philosophy ensures a deep understanding of AI algorithms by requiring learners to construct them from first principles before utilizing frameworks.

features

Key Features of ai-engineering-from-scratch

AI Engineering from Scratch provides a structured, output-oriented learning environment focused on deep understanding and practical application. Its curriculum is designed to equip learners with the ability to construct and deploy AI systems from fundamental components.

  • Build from Scratch Philosophy: Every AI algorithm, from linear algebra to autonomous swarms, is built from raw mathematical principles.
  • Output-Oriented Learning: Each of the 503 lessons concludes with a 'ship it' step, producing a reusable artifact (e.g., prompt template, skill file, agent, MCP server).
  • Multi-language Support: Curriculum implementations are provided in Python, TypeScript, Rust, and Julia.
  • Comprehensive Curriculum: Spans 20 phases covering Math Foundations, ML Fundamentals, Deep Learning Core, Computer Vision, NLP, Speech & Audio, Transformers, Generative AI, Reinforcement Learning, LLMs from Scratch, LLM Engineering, Multimodal AI, and Agent Engineering.
  • Active Development: As of May and June 2026, the curriculum is actively maintained with 20.3K GitHub stars and 3.4K forks.
  • Search and Filter Lessons: Functionality to navigate the extensive lesson library efficiently.
  • Optional Paid Features: An autograder, an AI tutor, and a certificate are available for a $20 lifetime fee.

use cases

Who Should Use ai-engineering-from-scratch?

AI Engineering from Scratch targets individuals and teams seeking a profound, hands-on understanding of AI systems, moving beyond mere API consumption to foundational algorithm construction and deployment.

  • Students seeking a clear AI learning path from foundational mathematics to advanced agent systems.
  • New users who want to learn AI by building projects from the ground up, understanding internal mechanics.
  • Developers who want to understand how AI actually works, not just call APIs, and build custom AI models.
  • Engineers looking to upskill in AI or onboard teams to core AI engineering principles.
  • Individuals aiming to build real, production-ready AI products and systems, producing reusable tools and demos.

how to use

How to Use ai-engineering-from-scratch

To begin using AI Engineering from Scratch, users access the free, open-source curriculum via its web platform, which guides them through sequential lessons to build AI algorithms.

  • 1Navigate to the aiaengineeringfromscratch.com website to access the curriculum.
  • 2Select a phase and lesson to begin, choosing a preferred programming language (Python, TypeScript, Rust, or Julia).
  • 3Follow the instructions to build AI algorithms from scratch, focusing on mathematical principles.
  • 4Complete the 'ship it' step for each lesson to create a reusable artifact.
  • 5Optionally, pay the $20 lifetime fee to unlock the autograder, AI tutor, and certificate features.

pricing

ai-engineering-from-scratch Pricing & Plans

The core curriculum of AI Engineering from Scratch is provided free of charge and is open-source under the MIT license, allowing full access to its 503 lessons and 20 phases. An optional paid component is available for users seeking additional support and recognition.

  • Free Tier: Access to the complete 503-lesson, 20-phase curriculum, including multi-language implementations.
  • Lifetime Access: A one-time payment of $20 unlocks an autograder, an AI tutor, and a certificate of completion.

Pros

  • +Teaches AI algorithms from foundational mathematical principles, fostering deep understanding.
  • +Offers a comprehensive curriculum with 503 lessons across 20 phases, covering a broad AI engineering stack.
  • +Supports multi-language implementation in Python, TypeScript, Rust, and Julia.
  • +Emphasizes output-oriented learning, with each lesson producing a reusable artifact.
  • +The core curriculum is free and open-source, making advanced AI education accessible.
  • +Maintained by an active community, evidenced by 20.3K GitHub stars and 3.4K forks as of May/June 2026.

Cons

  • −Some lessons are still being filled out as of May/June 2026, indicating ongoing development.
  • −User feedback from May 2026 noted website design issues, such as a lack of margins on smaller screens.
  • −Requires a significant time commitment due to its 'build from scratch' and comprehensive nature.
  • −A Hacker News discussion in May 2026 included feedback questioning if content or documentation was AI-generated.

Similar Tools

ai-engineering-from-scratch vs Competitors

AI Engineering from Scratch distinguishes itself by its strict 'build from raw math' philosophy, offering a foundational, bottom-up approach to AI education that contrasts with many top-down or framework-centric alternatives.

1
Hugging Face SpacesOn StorkCompare

Hugging Face Spaces provides an easy-to-use platform for building, hosting, and sharing interactive machine learning demos and applications directly from a web browser or Git repository.

While 'ai-engineering-from-scratch' emphasizes a comprehensive learning journey, Hugging Face Spaces focuses more on the 'build it' and 'ship it' aspects by offering a free tier for deploying and showcasing AI models and applications.

2
DataCamp (AI Engineering Tracks)↗

DataCamp offers structured, interactive learning paths with a built-in AI Tutor to teach practical AI engineering skills, progressing from foundational concepts to advanced topics.

DataCamp directly competes with the 'learn it' and 'build it' components of 'ai-engineering-from-scratch' through its guided, project-based curriculum and freemium model.

3
AWS SageMaker Studio Lab↗

AWS SageMaker Studio Lab provides a completely free, no-configuration JupyterLab environment with CPU and GPU options, allowing anyone to learn and experiment with machine learning without needing an AWS account or credit card.

This tool directly addresses the 'build it' aspect of 'ai-engineering-from-scratch' by offering a free, practical sandbox for hands-on AI development and experimentation, though it is less structured as a guided learning path.

4
Coursera (MLOps/AI Engineering Specializations)On StorkCompare

Coursera offers university-backed specializations and professional certificates that cover the entire MLOps lifecycle, from model development to production deployment, often with hands-on projects.

Similar to 'ai-engineering-from-scratch', Coursera provides structured learning paths that encompass 'learn it, build it, ship it' for AI engineering. Many courses can be audited for free, providing access to learning content, with full features and certificates available through payment or financial aid.

Visit ai-engineering-from-scratch↗

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