MadeWithML

Master production-ready machine learning with expert-led practical lessons.

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About MadeWithML

MadeWithML is a pioneering educational platform aimed at empowering developers, data scientists, and product professionals to effectively build, deploy, and maintain machine learning systems in production. Founded and led by Goku Mohandas, a seasoned ML practitioner with extensive industry experience, MadeWithML bridges the gap between theoretical machine learning and real-world engineering challenges, particularly around scalability, reproducibility, and operational best practices.

The platform offers a structured curriculum encompassing all aspects of the ML lifecycle including data engineering, model development, testing, deployment, and monitoring. Designed with a hands-on approach, it integrates software engineering principles with machine learning techniques, enabling learners to develop practical skills for deploying reliable ML-powered applications. Live cohorts, community engagement, and access to compute resources enhance the learning experience.

MadeWithML is now a part of Anyscale, leveraging broader resources to accelerate production ML adoption. This collaboration further enriches its offerings, underscoring a commitment to advancing ML engineering education with a focus on industry applicability and scalable solutions.

Use Cases

A software engineer uses MadeWithML to design and deploy an end-to-end ML pipeline for fraud detection in financial transactions.
A data scientist learning to implement robust experiment tracking and model versioning to improve reproducibility of patient diagnosis models.
A product manager gaining technical insights through the course to evaluate and plan AI integration in a large-scale e-commerce platform.
A startup AI team enrolling in live cohorts to accelerate deployment of NLP models with continuous integration and monitoring.
A university graduate transitioning from academic ML concepts to practical, production-oriented ML applications in the healthcare domain.

Key Features

Comprehensive curriculum covering ML lifecycle from design to production
Hands-on lessons on MLOps best practices including CI/CD and monitoring
Support for scaling ML workloads from local to distributed environments
Live cohort sessions providing real-time learning, Q&A, and GPU access
Instruction led by industry expert with experience in practical ML applications

Pricing

MadeWithML offers free access to a wealth of tutorials and open-source learning resources. For enhanced learning, learners can join live cohorts which may include interactive lessons, Q&A sessions, and access to GPU compute; pricing for these cohorts varies and is detailed on the MadeWithML website. Additional enterprise-level training or custom integrations may be available through Anyscale, subject to negotiation.

Pros & Cons

Pros

+ Comprehensive coverage of the entire ML lifecycle from design to production
+ Strong emphasis on software engineering and MLOps best practices
+ Hands-on, practical lessons with real-world applications
+ Active community and support through live interactive cohorts
+ Led by an experienced industry expert with proven track record

Cons

- More advanced topics may require prior programming and ML knowledge
- Live cohort sessions may have limited availability and scheduling constraints
- Pricing details for cohorts are not fully transparent without site inquiry
- Focus is primarily on production ML, less on pure theoretical ML research

Frequently Asked Questions

What is MadeWithML?

MadeWithML is an educational platform offering tutorials and resources focused on deploying machine learning applications into production with best practices in MLOps.

Who is the target audience for MadeWithML?

It is designed for developers, data scientists, product managers, and graduates aiming to gain practical skills in ML engineering and production workflows.