Made With ML
Made With ML is a free online MLOps education platform teaching developers production machine learning workflows through a structured curriculum, GitHub-hosted notebooks, and a community of 40K+ subscribers. Now a brand within Anyscale (Ray), it monetizes via paid live cohort experiences.
- Company typePrivate
- Founded2019
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2C
- OfferingDigital Commerce or Content
What Made With ML does
Made With ML is an online educational platform that teaches developers how to design, develop, deploy, and iterate on production machine learning applications. Founded in 2019 by Goku Mohandas, the platform delivers a free MLOps curriculum organized into eight learning tracks (Design, Data, Model, Development, Utilities, Testing, Reproducibility, Production), plus a Foundations track covering Python, PyTorch, and core ML/DL concepts. The technical stack taught and demonstrated in the course centers on Python, PyTorch, Ray (distributed compute and serving), MLflow (experiment tracking), and Transformers such as SciBERT, with worked examples extending to NLP, CV, time-series, and LLM fine-tuning.
The product is distributed through a public website (madewithml.com), a versioned GitHub repository (GokuMohandas/Made-With-ML, v1.1.0, ~48.7k stars, 7.7k forks), a newsletter reaching 40K+ developers, and a Discord community of 7.7k members. The core content is free; the company monetizes via optional paid live cohort experiences that bundle GPU compute, live lessons, QA, and community access. Go-to-market is community-led, with content and developer relations as the primary acquisition channels.
In 2023, Made With ML was acquired by Anyscale, the company behind the Ray distributed computing framework. Made With ML now operates as a content brand within Anyscale, with the founder joining Anyscale's team. The curriculum is tightly integrated with Ray for scaling, and the site cross-sells Anyscale platform credits. Headcount is reported at 1–10, consistent with its role as a focused educational brand rather than an independent product company.
Made With ML firmographics
Firmographics- Name
- Made With ML
- Legal name
- Anyscale, Inc.
- Website
- https://madewithml.com
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Made With ML is a free online MLOps education platform teaching developers production machine learning workflows through a structured curriculum, GitHub-hosted notebooks, and a community of 40K+ subscribers. Now a brand within Anyscale (Ray), it monetizes via paid live cohort experiences.
- Ownership category
- akta.pro rank
Made With ML industry classification
Industry- Product category
- ML Education and MLOps Training Platform
- NAICS
- Computer Training (611420), Professional and Management Development Training (611430), Educational Support Services (61171)
- SIC
- Services-Educational Services (8200), Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI & Machine Learning (Foundations & Applied) (EDAMACAG)
- akta.pro secondary industries
- AI/ML Learning Platforms for Students (EDAFANAE), Cloud & DevOps Fundamentals (Cloud Basics, CI/CD Concepts) (EDAMACAM), End-to-End MLOps & ML Platform Suites (HDAAABAA)
Keywords
Where Made With ML is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Made With ML business model
Business model- GTM type
- B2C
- Offering type
- Digital Commerce or Content
- Cost components
- Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales
Revenue model
- Course Cohorts: Live cohort-based learning programs with compute (GPUs), live lessons, QA sessions, and community access. The course is available for free but cohorts offer enhanced learning experience with hands-on GPU access.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free course access with optional paid cohort upgrade |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels4 records
Made With ML product offering
Product offeringCore offering
Made With ML is an online educational platform that teaches developers, data scientists, and engineers how to design, develop, deploy, and iterate production-grade machine learning applications. Its core offering is a free, self-paced MLOps curriculum covering the full ML lifecycle (Design, Data, Model, Development, Utilities, Testing, Reproducibility, Production), supported by a Foundations course on Python, NumPy, Pandas, PyTorch, and core/deep learning concepts, and a paid Live Cohort experience that adds GPU compute, live lessons, and QA sessions.
Product overview
Made With ML is an online educational platform offering a free course for developers to learn MLOps. The platform consists of the core Made With ML Course, an MLOps Curriculum covering eight learning tracks (Design, Data, Model, Developing, Utilities, Testing, Reproducibility, Production), and a Foundations Curriculum for Python and ML basics. Content is accessible at madewithml.com and supported by a public GitHub repository with code, notebooks, and datasets.
Differentiator
Problem solved
Functional benefit
Brands
- Foundations Course: Foundational lessons covering ML basics including Python, NumPy, Pandas, PyTorch, linear/logistic regression, neural networks, CNNs, embeddings, RNNs, attention, and transformers
Products and services
- Made With ML Course (MLOps Curriculum) A free, self-paced online course teaching developers, data scientists, and ML engineers how to design, develop, deploy, and iterate production ML applications end-to-end. The MLOps curriculum spans Design (setup, product, systems), Data (preparation, EDA, preprocessing, distributed), Model (training, tracking, tuning, evaluation, serving), Developing (scripting, CLI), Utilities (logging, documentation, styling, pre-commit), Testing (code, data, models), Reproducibility (versioning), and Production (jobs & services, CI/CD, monitoring, data engineering). Intended audience is software/infrastructure engineers, data scientists, and ML engineers seeking production-grade ML skills.
- Foundations Course A free, self-paced foundational curriculum covering Python data science tooling (Notebooks, Python, NumPy, Pandas, PyTorch) plus machine learning basics (linear/logistic regression, neural networks, data quality) and deep learning (CNNs, embeddings, RNNs, attention, transformers). Intended for developers, college graduates, and career-switchers who need a structured ramp-up before tackling production MLOps topics.
- Live Cohort Program A paid, premium cohort-based learning experience that provides live lessons, QA sessions, GPU compute, and community access to participants wanting an intensive, instructor-led alternative to self-paced study. Targeting both individual developers and enterprise-sponsored teams seeking accelerated, hands-on production ML training.
Quantifiable outcome
- GPT-4 zero-shot achieves 92.7% F1 score on text classification task
- +2 more outcomes
Companies that use Made With ML
Customer profileNamed customers9 records
Segments3 records
Ideal customer profiles3 records
Made With ML technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature4 records
Made With ML partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- AnyscalecoreMade With ML was acquired by Anyscale in 2023 to accelerate the path towards production ML. Goku Mohandas joined Anyscale to address obstacles around scale, integrations, and productionization that he encountered while helping Fortune 500 companies build ML platforms.
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
Made With ML competitors and assessment
Company assessmentBroad incumbents
- Udacity: Udacity offers paid "Nanodegree" programs including AI and ML engineering tracks. It targets the same career-advancement audience as Made With ML's cohorts, with a more mature but more expensive B2C and enterprise model.
- Coursera: Coursera hosts DeepLearning.AI, ML specializations from universities, and many MLOps courses. It is a broad incumbent in online education where Made With ML could eventually distribute or compete for learner attention.
- Kaggle Learn: Kaggle Learn offers free, short ML courses and is owned by Google. It competes with Made With ML at the entry level for ML education and benefits from Kaggle's massive data science community.
Direct peers
- DeepLearning.AI: Founded by Andrew Ng, DeepLearning.AI offers industry-leading AI/ML courses and specializations. It is the most direct competitor to Made With ML in online ML education, though its courses are typically broader and less focused on production MLOps.
- DataCamp: DataCamp offers subscription-based courses in Python, data science, and machine learning targeted at working professionals. It competes for the same practitioner learner base as Made With ML, with a more mature paid subscription model.
- fast.ai: fast.ai provides free, practical deep learning courses taught by Jeremy Howard. It overlaps with Made With ML in teaching production-applicable ML to developers, though with a more research-oriented, top-down teaching style.
- Full Stack Deep Learning: Full Stack Deep Learning (FSDL) teaches production-oriented ML and is a closer peer to Made With ML's MLOps focus than most general MOOC platforms. It is primarily course-based and free, similar in philosophy but smaller in community scale.
Others
- Weights & Biases: Weights & Biases is an MLOps platform (experiment tracking, model registry) that also publishes significant educational content and courses. It is an adjacent player — both a potential integration partner and a competitor for ML practitioner mindshare.
- Anyscale: Anyscale is Made With ML's parent company and creator of the Ray distributed computing framework that the course is built around. It is a strategic enabler and distribution partner, as well as the platform that Made With ML's content ultimately funnels learners toward.
Emerging players
- Hugging Face: Hugging Face runs courses, learning tracks, and a community around transformers and applied ML. It overlaps with Made With ML in the NLP/LLM/applied ML education space, and increasingly in MLOps tooling around model serving and deployment.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Made With ML social profiles
Digital presenceMade With ML financial estimates
Financial estimateRevenue estimate
Valuation estimate
Made With ML leadership team
Management profileNumber of profiles
Profiles1 record
Made With ML funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Made With ML M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Made With ML
What does Made With ML do?
Made With ML is an online educational platform that teaches developers, data scientists, and engineers how to design, develop, deploy, and iterate production-grade machine learning applications. Its core offering is a free, self-paced MLOps curriculum covering the full ML lifecycle (Design, Data, Model, Development, Utilities, Testing, Reproducibility, Production), supported by a Foundations course on Python, NumPy, Pandas, PyTorch, and core/deep learning concepts, and a paid Live Cohort experience that adds GPU compute, live lessons, and QA sessions.
Is Made With ML a public or private company?
Made With ML is a private company. It is classified as corporate owned and is currently operating.
When was Made With ML founded?
Made With ML was founded in 2019. It employs 1 to 10 people.
Where is Made With ML based?
Made With ML is headquartered in San Francisco, United States, in the North America region.
How does Made With ML make money?
One revenue line is on record: course Cohorts.
Who are Made With ML's main competitors?
Broad incumbents on record are Udacity, Coursera and Kaggle Learn. Direct peers are DeepLearning.AI, DataCamp, fast.ai and Full Stack Deep Learning. Others are Weights & Biases and Anyscale. Hugging Face is listed as an emerging player.
Does Made With ML have an API?
No public API is recorded for Made With ML.
What industry is Made With ML in?
Made With ML's product category is ML Education and MLOps Training Platform. Its primary akta.pro industry code is EDAMACAG, AI & Machine Learning (Foundations & Applied), with a secondary code of EDAFANAE, AI/ML Learning Platforms for Students. Its NAICS code is 611420 and its SIC code is 8200.