4.5 (8)
3 Days
·Cohort-based Course
From product strategy & design to data ethics & security, you will learn best practices for building reliable and responsible AI products.
4.5 (8)
3 Days
·Cohort-based Course
From product strategy & design to data ethics & security, you will learn best practices for building reliable and responsible AI products.
Course overview
Trustworthy and responsible AI systems are reliable, safe, and secure - and they work for everyone.
Because it's complex to make all of this work well, trustworthy AI is often just seen as a cost factor without much immediate ROI ('we are no charity, we run a business'). But your product will only be successful in the long term if you focus on nailing user trust, legal and regulatory compliance, and your business reputation.
I learned to manage machine learning products the hard way and failed many times - you don't have to. I will provide you with the knowledge and skills you need to stand out in the market and give you and your business a competitive advantage.
Scroll down for the learning outcomes and more detailed curriculum.
01
... want to introduce ML to solve specific user or business problems but are unsure how to get started.
02
... are already using ML, want to become more efficient and manage their risks more proactively.
03
This course is *NOT* optimized for anyone interested in robotics.
Video + Live Classes
I use a mix of videos to pre-watch and live classes.
Designing Machine Learning (ML) Products
Product Development Workflow & Stakeholder Management
Data Privacy, User Trust & Ethics
AI Governance
Trustworthy AI Products
Product Coach & Consultant, Ex-Google, Ex-N26.
I’m one of the leading ML-product experts in Europe with 15+ years of professional experience:
Machine Learning is complex, but it is not magic. Everyone can learn the fundamentals to help build better ML products for the benefit of our society. Driven by this belief, l regularly give talks, workshops, and courses (mainly internally at Google, but also at public conferences incl. GraceHopper) to lift the perceived veil of secrecy around machine learning.
As a product coach & consultant, I work for startups and companies mainly in Europe.
Interested in learning more about me? Head over to my website!
Do you have any questions to make sure this course is the right one for you?
You can book a free coffee chat using with me! I would be more than happy to clarify your questions to make sure your money is worth the investment!
I also run very small cohorts (max 15 people), there is also some room to adapt the content to the needs of the participants!
8 hours - 1 week - small cohorts
Tue, Wed, Thurs - March 14,15,16
18:00-19:30 CET (or 9-10:30 am PT)
Video content (approx. 4h)
at your own schedule
I pre-recorded sessions to consume at your own time. This includes:
Q&A
I do offer dedicated time for Q&A, both right after our live sessions and one more separate session.
That said, I am more than happy to hop on a short 1:1 call anytime during or shortly after the course to make sure all your questions are answered.
Dec
1
Dec
6
Dec
8
D.S. (Course Participant)
M.M. (Course Participant)
Anders Sandholm
Maritza Bonano
Grace Kwak Danciu
John Lack
Rob Wong
Learn with a small cohort of peers
I will have small cohorts of max. 15 people to foster an environment in which you can learn effectively from me, feel more safe asking lots of questions and share your experiences and thoughts. I will also share real examples from my career.
Active hands-on learning
This course builds on live workshops and hands-on projects.
Interactive
You’ll be interacting with other learners through breakout rooms and group discussions.