Plan better, implement faster
Learn to structure and plan projects with the ML Canvas, a framework used by 10,000+ companies throughout the world
Turn fluffy discussions into practical outcomes, and improve (remote) collaboration across disciplines
Reduce implementation time: better specify what to build, anticipate key questions, and make your project a success!
Online course taught by Louis Dorard, author of the ML Canvas
course benefits
4 hours of videos & text lessons. Detailed explanations, illustrations, hands-on demos. Bite-sized learning pieces to share with your team.
Case studies with example Machine Learning Canvases and how they were created
Step-by-step process to create a detailed and bullet-proof Machine Learning Canvas, from your own use case idea
for Innovation & engineering managers
PLAN is our 2nd course. It’s made for Product Managers, Innovation Managers, R&D Project Managers, Engineering Managers, IT Architects, Consultants. You’ll gain the knowledge and skills to become the go-to person for starting and leading high-value ML projects in your organization.
Pre-requisites
This course assumes non-technical knowledge of high-level ML concepts, possibilities, limitations
It’s best if you also have one or more ML use case ideas, to which you'll apply the ML Canvas.
If you don’t have these pre-requisites, and you want to find the right use cases of your company, have a look at our 1st course: FIND.
WHAT YOU’LL LEARN
Data and models are artifacts — the real asset is the ML system. Learn how to design it properly. You will learn how to turn use case ideas into detailed specifications.
This course comprises 6 modules that will teach you the techniques that corporations, consultants, SME’s, schools, and startups have used to change the way they think about ML project planning:
Creating ML value — foundations
Elements of the ML Canvas — how to fill each “box”
Example ML Canvases — case studies
Towards a flawless design — avoiding common mistakes
Collaborating within a team — practical tips
Next steps — transitioning to implementation
GET STARTED NOW!
Get access to this course (and more) with an OWNML+ subscription. No commitment — cancel anytime.