ML Systems for Leaders & Innovators

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The Online Course For Leaders, Decision-Makers, and Innovators to Succeed in Building High Value ML Systems

Taught by Louis Dorard, author of the Machine Learning Canvas and founder of the PAPIs conferences

  • Leverage ML to create value for your clients/users/teams by aligning its possibilities with business strategy
  • Execute end-to-end ML projects with confidence: choose the right use case & tools, avoid pitfalls, prioritize ideas, and deploy safely
  • Take control of your company’s ML transformation and build its ML assets (data collection, preparation, modeling and deployment pipelines/workflows)

What You'll Learn: End-to-End ML

This course will give you a hands-on, practical understanding of how to build real-world ML systems (as opposed to ML models created from fixed datasets in an experimentation environment). You’ll be able to:

  • Pick your own project based on feasibility and impact
  • Develop your own Machine Learning Canvas to keep your team aligned behind the goal of generating value
  • Design a unique system that creates great value for its end-user
  • Collect and prepare your own training data
  • Build your own baseline ML models in record time
  • Assess whether you can trust a model for usage in production
  • Industrialize models and deploy improvements continuously
Own Machine Learning System Diagram

Who It's For

This is a practical course for business leaders, tech entrepreneurs, managers, consultants, decision makers… It’s suitable for anyone looking to innovate with ML and to apply it in their own domain. The course is based on no-code and low-code ML tools.

Guillaume Bazouin, Project Coordinator - Analyst at Stanford

“Louis presents machine learning in a way that is both extremely approachable and directly applicable — a winning combo.”

— Guillaume Bazouin, Project Coordinator – Analyst at Stanford

— Carlos Escapa, Global AI/ML Practice Lead at Amazon Web Services

“To dissect use cases, we recommend the approach developed by Louis Dorard”

— Carlos Escapa, Global AI/ML Practice Lead at Amazon Web Services

Enroll in ML Systems for Leaders & Innovators Today!

Don’t miss this opportunity to learn from one the most established executive level ML leaders and practitioners. Secure your spot today as enrollment for the office hours sessions will be capped at 20 participants. Enrollment closes on September 24th and the first class starts October 1st!

Choose your preferred option to enroll via Louis Dorard’s Course Page.

Note: This course is subject to a 14 day refund policy. We’re confident you’ll love it but if you’re unsatisfied for any reason, and if you haven’t downloaded any of the course’s material, we’ll issue a full refund within 14 days of purchase.


  • 7 Office Hours Sessions
  • 15 Hours of Videos
  • Low Code ML Templates
  • Exclusive Resources**


  • One-on-One Coaching*
  • 7 Office Hours Sessions
  • 15 Hours of Videos
  • Low Code ML Templates
  • Exclusive Resources**

A pre-recorded, video only version of the course is available here for $799

*One-on-One coaching includes discovery conversation to understand your goals, 1 hr coaching session with Louis, and follow-up guidance and next steps

**ML Project Checklist, Model Builder Workflow, guided exercises, and copies of Louis’s 5-star ebooks

What's Included

7 office hours sessions led by Louis Dorard and hosted by TWIML. In addition to providing a detailed review of the course’s concepts, sessions will include opportunities to discuss your specific questions and issues (theoretical or practical), review homework, and apply topics learned to an end-to-end ML project chosen by you. First session starts October 1st at 2:30pm GMT/ 10:30 am ET / 7:30am PT. Participation will be capped at 20. Enroll today to secure your spot!

15 hours of videos, with hands-on how-tos and demos on real-world ML challenges, summaries of Louis’s most successful publications, and new topics.

Exclusive resources: ML Project Checklist, Model Builder Workflow, guided exercises, and copies of Louis’s 5-star ebooks (Bootstrapping Machine Learning, The Machine Learning Canvas, Report on ML Platforms).

Low-code ML templates: fully documented Jupyter notebooks that are dead-easy to reuse and adapt, based on popular low-code “auto ML” libraries developed by Louis. The course also provides an easy to setup dev environment configuration to speed up your work.

Syllabus & Study Group Sessions

October 1: Introduction to ML & Course Overview

October 8: Possibilities and limitations of ML models

October 22: Create your own training dataset

November 5: Build powerful baseline models, fast

November 19: Design an ML System that creates value

December 3: From baseline to Minimum Viable Model you can trust

December 17: MLops: deploy your own ML System

Meet Louis

Louis Dorard Bio Pic

Louis has been a ML practitioner and executive leader for over 14 years. His experience includes:

Training 500+ developers and managers in person
You’ll have access to updated content he’s shared at places such as Microsoft AI School, Airbus, AWS, Deloitte, Deezer, EDF, Intel, Konica Minolta, and UCL School of Management.

Organizing 11 industry conferences on 4 continents
Louis is the founder of the PAPIs conferences and has organized ML conferences around the globe. You’ll benefit from the knowledge and industry insight Louis has developed by collaborating with ML practitioners all around the world.

Helping companies big and small make use of ML
You’ll learn how to apply the Machine Learning Canvas, which Louis has developed while training and coaching ML leaders over many years, to your specific ML needs. This course will provide you with actionable and practical knowledge to effectively use this powerful tool with your machine learning team. For more on how Louis’s course and the Machine Learning Canvas can you help drive business value through machine learning, check out this AWS blog post.

Authoring various ML books to guide industry leaders & innovators
Louis is the author of Bootstrapping Machine Learning, The Machine Learning Canvas, and this Research Report on ML Platforms. You can find videos of some of his previous talks here.


Enrollment can be completed via the course enrollment section here. Enroll before September 17th and use the discount code TWIML to get an additional 10% off! Enrollment will close on September 24, 2020 at 11:59pm or when total enrollment reaches 20 participants.

Each office hour session listed above will last 1.5 hours. In addition,it takes about 2 hours to go through the videos and reading material for each of the 7 parts in this course. Ideally you should also allow some time to do the recommended exercises and to apply what you learn to your own project.

There’s just one strong requirement for this course: familiarity with spreadsheet software such as Excel.

We’ll use graphical interfaces and “studios”, to get familiar with data wrangling and ML concepts. This will allow us to start building datasets and models fast. You’ll be amazed at how much you can get done with pen & paper and point & click!

These studios also provide APIs, for those who prefer code. We will also demonstrate how to use low-code ML libraries. Familiarity with Python can be a plus for some sections of this course that contain code, but you’ll only need to copy-paste and execute — you won’t have to write algorithms or programs yourself. Louis provides fully documented code templates to make everything super easy to follow and adapt.

The 7 office hours sessions and access to the course’s 7 modules costs $1,199. A premium version of the course that includes a 1 hour one-on-one coaching session with Louis (preceded by a discovery discussion and followed by personalized guidance and next steps) is available for $1,499.

Totally! This course contains knowledge built from years of experience, most of which has never been structured and formalized by anyone in the form of an online course. Your time is valuable, and you’ll save tons of it:

You’ll be able to focus on what matters most and skip what’s the least relevant to your project, from all the ML-related content out there.
You’ll get answers that would otherwise take a significant amount of time to gather.
You’ll avoid mistakes that could cost months of work to you and your team.
We’re confident you’ll love the course, which is why we also offer a 14-day money-back guarantee. This has been offered since the course’s inception but there has never been any refund requests 🙂

Yes! You’ll be able to download a tax receipt/invoice for your purchase, which will keep the accountants happy! You’ll be able to add your company name and address. If you’re based in Europe, you can also add your company’s VAT number, and have the VAT country, rate and amount added to the invoice.

After purchasing, head over to the course platform, click on the icon in the top-right corner, and choose “Billing”

Yes! Please email us at for more details.

Though we are confident you will love the course, we want to hear from you if there is anything you are unhappy about. We will do our best to ensure every student finds their experience in this course rewarding and beneficial to their career. Please feel free to reach out with any feedback to at any time.

In addition, the course is subject to a 14 day refund policy. There is no risk. If you’re not 100% satisfied at the end of 14 days, and if you haven’t downloaded any of the course’s material, you’ll be eligible for a full refund.

This has been offered since the course’s inception, but there haven’t been any refund requests so far 🙂 If you do ask for a refund, we’ll just ask you to take 5 minutes to answer some simple questions. This is just to provide us with some context. We’ll issue a refund regardless of your answers!