Apply Machine Learning to your business in 6 weeks.
Want your business to accelerate with ML, but not sure where to start?
Join other CTOs and start applying off-the-shelf models within days.
Workshop period
May 3 - Jun 11
Registration deadline
April 22
Try cohort-based learning
Learn by doing βοΈ
Deploy off-the-shelf ML models (in NLP, CV, etc.) and plan your roadmap for custom-built models
1-1 coaching β‘
Weekly problem-solves on your business with an AI expert
Live expert lectures π¬
Learn how rockstar organisations transitioned to becoming AI powerhouses
Meet other CTOs π
Engage with technical leaders in different industries & geographies
βIt is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries.β
β Andrew Ng, Stanford faculty, former head of Baidu AI and Google Brain.
The Instructor
Dr. Jonathan Grizou
Assistant Professor of Computer Science @ University of Glasgow
Award-winning PhD del. by Fields Medal Laureate C. Villani
Published in Nature Communication, Science Advances
Co-Founder, Pollen Robotics (2016-2018)
Contributor to the French AI report (2018)
Guest lecturers we are enlisting
Industry ML experts
β An hour was all Jonathan needed to transform my understanding of modern NLP. He distilled his insights clearly through live demos and business use-cases. β
β Ross Murray-Jones, Founder / CEO @Kontinuous
Who is this for?
Designed for CTOs
You'll join a hand-picked group of 12 technical leaders from some of the most exciting, early-stage tech companies. All keen to leverage AI to get their businesses to the next stage.
What to expect?
Outcome centred course
Understand & test key ML models.
Design your 6-18 months ML roadmap
Meet potential AI engineering hires
A 6 week transformation
Week 1: Foundations
Understand the fundamental building blocks of AI/ML and how are they applied in industry.
Week 2: Case studies
Get inspired by seeing how others have used ML to give their businesses more leverage. Scope opportunities in your own business.
Week 3: Apply CV models
Build Computer Vision models & deploy mock MVPs. Scope how your business could leverage them.
Week 4: Apply NLP models
Deploy mock Natural Language Processing models like GPT-3. Scope how your business could leverage them.
Week 5: Design your roadmap
Iterate on your organisation's strategic AI roadmap with your instructor. Include your org's CEO & management where relevant.
Week 6: Problem-solve roadblocks
Identify what's missing to get started & learn from operators that successfully drove an AI transformation. Network with AI engineers.
Grab your earlybird seat
Workshop period
May 3 - Jun 11
Registr. Deadline
April 22
Price
Β£4000 Β£1900
Money back guarantee
βThe playing field is poised to become a lot more competitive, and businesses that donβt deploy AI and data to help them innovate in everything they do will be at a disadvantage.β
β Paul Daugherty, Chief Technology and Innovation Officer @Accenture
FAQ
This course works part-time. It's designed for busy CTOs, and should easily integrate with your schedule. A 6h-a-week commitment on your end (all-in) should be enough to get the most out of the course.
We designed this course as a cohort-based learning experience. We'll carefully match participants with like-minded CTO leading complementary businesses to theirs (non-competitive). You'll work on mock exercises together, facilitated by your instructor. We'll also organize regular networking events for participants.
Yes! This is a core value proposition of this course. Each week, you will have a 20min 1-on-1 coaching session with your instructor. Use that time to ask questions, dig some topics deeper, and move closer to your business-specific roadmap. You will also have access to a Slack channel for asynchronous discussions, monitored daily by the instructor.
On W3 and W4, we'll take you through the full ML pipeline. This includes data collection, model training, transfer learning, and API building. We spent a lot of time setting up the right tools so that the above will be done setup free on your side - with no time wasted installing and/or debugging. You'll have full access to low-level code and the possibility to share your results.
Definitely! This course is designed as a transformational experience for your whole organisation. We expect the main user to be the CTO - but they should feel free to invite management and/or their teams wherever relevant.
No need to worry! You obviously won't get as much out as if you attend live, but session will be recorded and made available online. You can also contact your instructor and fellow cohort members asynchronously.
Sign up
Thank you
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Join the first cohort today!
Our first cohort will start on March 15th.
Practical exercises & feedback βοΈ
Devise & deploy AI models (NLP, computer vision, etc.) in a trial, responsive environment
1-1 coaching β‘
Weekly problem-solves on your business with an AI expert
Live lectures & fireside chats π¬
Learn how rockstar organisations transitioned to becoming AI powerhouses
Meet other CTOs π
Engage with technical leaders in different industries & geographies
Build accountability βοΈ
Everyone on the program gets assigned an accountability buddy from day 1. You will reach your goals.
Grow your network π
Everyone on the course has a unique background and story. Discuss and work with them to grow together.
Learn faster β‘
Research shows the inverted classroom yields 3x faster learning speed, and learning stick for longer.
Practical exercises & feedback βοΈ
Devise & deploy AI models (NLP, computer vision, etc.) in a trial, responsive environment
1-1 coaching β‘
Weekly problem-solves on your business with an AI expert
Live lectures & fireside chats π¬
Learn how rockstar organisations transitioned to becoming AI powerhouses
Meet other CTOs π
Engage with technical leaders in different industries & geographies
Learn by doing βοΈ
During the course, you will devise & deploy practical AI models (NLP, computer vision, etc.) in a trial responsive environment.
Grow your network π
Everyone on the course has a unique background and story. Discuss and work with them to grow together.
Upskill faster β‘
Research shows the inverted classroom yields 3x faster learning speed, and learning stick for longer.