School of Artificial Intelligence

Become an AI expert through our hands-on mentoring programme, working on real industry projects.

Twice a year, we host a batch of the best engineers from all over the world to turn them into AI specialists. Each of them receives personalised coaching and guidance from an expert. They apply their new skills on the industry project provided either by their own employer, or by world leading tech companies such as Google, Facebook and Amazon and fast-growing startups.

Merit First. Top engineers get in for free, and those who transfer from abroad will receive a travel and accommodation grant.

Learn by doing. Minimal teaching. Desks and environment are organised to support small project teams, agile co-development, interactions with mentor.

Real world projects, no simulations. Our partners sponsor top engineers to solve real challenges. This may convert into the best job you ever had.

At a glance

Apply now for a full grant

Sponsor a talented engineer
Invest in an AI project

Outcomes

Enter the world of AI through the front door

Engage with thought leaders from top industry and research groups

Get expert advice on your own project

Gain expertise

Programme director


Sébastien Bratières

Director of AI, Translated

Sébastien has over 15 years of experience in the AI industry, covering topics ranging from speech interfaces and chatbots to data science. He has taught both professionals and students at institutions including École Centrale Paris and LUISS Business School in Rome, and consistently receives glowing reviews from his pupils. He carried out his PhD in probabilistic machine learning at the University of Cambridge, home to one of the world’s leading research labs. Sébastien is a regular speaker at international events dealing with machine intelligence.

The programme director will be available at all times to:

  • define your strategy
  • recommend resources, libraries
  • fill knowledge gaps
  • help when you get stuck
  • … and challenge you when you’re low on energy!

Advisory Board

Our advisory board is here to make sure that every single project is based on bleeding edge technology. Simply put, they make sure there’s no better way to do it.

Alex Waibel

Professor of Computer Science

Hassan Sawaf

Director of AI, Amazon Web Services

Marcello Federico

Head, Human Language Translation Unit

Mentors

Our mentors are AI engineers from the industry's finest labs.
Alongside the Programme Director, they will coach the students on a weekly basis.

Lukasz Kaiser

Researcher, Google Brain

Riccardo Sabatini

Chief Data Scientist

Max Pumperla

Deep learning Engineer

Novi Quadrianto

Senior Lecturer

Current and previous sponsors

 

Want to join?

  • Candidate

    Are you a student or AI enthusiast? Apply for one of our fully-sponsored places and give your career in AI a boost. Or if you're employed, convince your company that training in machine learning and AI is the best investment they can make these days. You'll be mentored by some of the finest minds around, representing institutions such as Cambridge, Google, Facebook, Amazon, Carnegie Mellon and more. All while gaining hands-on AI and machine learning experience and specialist skills by working on your sponsor company’s industry project.

    Apply now for a grant

  • Clients

    Unlock the potential of machine learning for your business projects and train your engineers at the same time. Work with our Director to develop your project into a specific machine learning concept with clearly defined deliverables. Maximise the value of your training by opting for a programme based on mentoring and individual sessions. We guarantee that the intellectual property rights and confidentiality of your data and results will be protected.

    Read more

  • Partners

    Associate your brand with the cutting edge of AI. Sponsor scholarships for bright students taking part in our hands-on AI training course. Create your own data science or AI challenge for the trainees you sponsor to work on. Name a recipient for your scholarship, or let us find and select the most deserving. All our supporters are featured in Pi School's online and offline communication and invited to our networking events.

    Read more

Schedule

Before
Are you an enterprise? We will consult with you for one or two days to scope out your AI project for the training programme format
Weeks 1-2
Programme introduction and “Essentials” lectures
Weeks 3-8
Project work, personalised training, tutoring and mentoring, group activities
Week 8
Project presentations and final event
After
Recruitment opportunities with our partners.
Alumni events at Pi Campus.

Requirements

We strive to gather bright and curious minds to create a stimulating environment, where you can rapidly expand your knowledge on machine learning and AI.

We are looking for people with experience in computer science, math, physics, or other computational subjects, who want to learn more about machine learning, and apply it to real world projects in a fast and stimulating environment.

You will immediately start working on real and challenging problems to tackle with AI, while learning about state of the art techniques during workshops and lectures and while interacting with expert mentors.

General
  • plan and self-manage your project
  • research and understand the scientific literature on how to address the challenges you may face, with the help and guidance of mentors and your peers

Minimum Qualifications
  • BSc in a STEM field such as Computer Science, Math, Physics, Neuroscience or other computational subjects
  • Familiarity with general purpose programming languages, like Python or C/C++
  • Proven knowledge of linear algebra, calculus, probability and computer science
  • Ability to communicate your work in English in a clear and concise way

Preferred Qualifications
  • MSc/PhD in Computer Science, Machine Learning, Data Science, Physics, Neuroscience or other computational subjects.
  • Experience with machine learning, with applications in fields like computer vision, natural language processing, speech recognition, or other
  • Experience with machine learning libraries such as Tensorflow, Scikit Learn, PyTorch, or other.

 

If you are a curious mind, desire to expand your knowledge, and the discipline to work and study as needed, apply now for a full grant.

Areas we cover

Deep learning
Gesture recognition
Text and document processing
Big data systems
Data collection and generation
Speech, sound, image, video processing
Time series
Recommendation systems


FAQ

Grant selection process

If you’re talented and meet our requirements, our partners are interested in sponsoring you. We will award grants following a selection process based on a CV, a 300-word cover letter, and one or more technical video interviews (focusing on engineering skills rather than AI).

Do I have to stay on-site for the entire 8 weeks?

We recommend that you stay for the whole 8-week programme to reap the maximum benefit, not just from the lectures and mentoring sessions, but also from informal networking and exchanges around Pi Campus.
Under special circumstances (e.g. family or professional reasons), you may attend part of the programme remotely, except for the first 2 weeks, for which you must be on-site.
If financial reasons (e.g. accommodation and maintenance) would prevent you from attending, please contact us, as we have maintenance grants available.

What is included?
What is left for me to organise?

About Pi School

Pi School is part of Pi Campus, which is located in Rome, Italy.

Pi Campus is both a venture capital fund and a startup district; it invests in growth-stage startups, with 28 investments in Italy and worldwide, and hosts some of them. Pi Campus was co-founded in 2007 by Marco Trombetti, a serial entrepreneur and angel investor, based on the commercial success of his first venture, Translated, an online translation platform which he co-founded in 1999.

Pi School offers professional education programmes and bespoke courses in its two specialist areas, which are also the cornerstones of Pi Campus: innovation, creativity and design alongside AI and machine learning.

Pi School is led by Jamshid Alamuti, an expert on innovation and leadership, but above all a transformer and people development expert. Jamshid formerly transformed and led the Berlin School of Creative Leadership and designed and ran many other educational institutions in Europe, where he developed EMBA units and C-level programmes. in between, Jamshid has always been an independent leadership consultant, speaker and writer in order to keep the balance between theory and practice. He co-founded Pi School with Marco Trombetti in 2016.

Apply for a full grant

Please submit this form to apply for the full grant for the School of Artificial Intelligence.

Upon your submission, our Programme Director will respond to you requesting further details. After reviewing your documents we will invite you for a personal interview. Should you pass this interview, you will be granted the full scholarship of 15,000 € for this programme.








Sponsor a talented engineer
Invest in an AI project

Need more info?

  • Ask our Programme Manager:

    Daniele Giliberto - Programme Manager