About The Program

Future Learning, founded by Razor Labs, is a leading hands-on educational program, aimed at talented individuals who are as passionate as we are about the Artificial Intelligence revolution.
Its prime mission – “Educating the AI tech leaders of tomorrow”.

We do this by combining two major components – The first, our vast knowledge and experience which we acquired through dozens of projects for tier 1 companies in the world. The second, and most important, finding the brightest minds to join our intense hands-on training, powered by experienced and seasoned mentors and training staff.

The Deal

Our screening process includes a preliminary review by our admission committee; technical online test and finally a personal and professional interviews.
Price: NIS 17.5K per student, after receiving grants from the company during the screening process (full price is NIS 40K).

Candidates that pass the screening process with flying colors are eligible for up to NIS 5K grant from the company.

Our Students

We are seeking B.Sc. graduates with honors or M.Sc. graduates with advanced knowledge of Python

Hands-on

Working on real problems from biotech, smart cities and industrial verticals with personal mentoring from experienced engineers that can accelerate your progress

DL engineer

After 2 MONTHS of intense hands-on Deep Learning program you will be job-ready for the high-end of the tech industry needs

Apply for the

upcoming session

If you are as passionate as we are about the future of AI.

If you are as passionate as we are about the future of AI.

Syllabus

The studies will take place at Razor Labs’ Future Learning Campus at Ramat Hahayal, Tel Aviv. The program is full-time, five days a week, from 10am to 6pm. The curriculum is 8 weeks and includes 250 hours of hands-on development on TensorFlow using high level workstations equipped with powerful NVIDIA GPUs

READ MORE
01
July, 2019
demo_image
Week 1 | Scientific Python and Machine Learning Introduction
10:00 - 18:00
Ramat Hahayal, Tel Aviv

Focus on Python’s scientific libraries and their use for data science. Build basic machine learning models from scratch in pure Python.   

08
July, 2019
demo_image
Week 2 | Supervised Learning and Hyperparameter Tuning
10:00 - 18:00
RAMAT HAHAYAL, TEL AVIV

Learn more supervised learning methods such as SVMs, Decision Trees. Understand how to evaluate and optimize machine learning models.

15
July, 2019
demo_image
Week 3 | Unsupervised Learning and Anomaly Detection
10:00 - 18:00
RAMAT HAHAYAL, TEL AVIV

Learn unsupervised learning methods such as PCA, clustering. Explore relevant areas where unsupervised learning is practical and even excels.  

22
July, 2019
demo_image
Week 4 | Classic Image-Processing
10:00 - 18:00
RAMAT HAHAYAL, TEL AVIV

As preparation for computer vision, week 4 focuses on solving classic image processing problems. Work with imagery data in Python and acquire useful processing tools.

29
July, 2019
demo_image
Week 5 | Deep Learning and Tensorflow
10:00 - 18:00
RAMAT HAHAYAL, TEL AVIV

Dive into the revolutionary field of Neural Networks and learn how to implement them yourself in TensorFlow, Google’s powerful Deep Learning framework.

05
August, 2019
demo_image
Week 6 | Diving into Vision Models
10:00 - 18:00
RAMAT HAHAYAL, TEL AVIV

Get to know state-of-the-art architectures and solutions for computer vision problems such as image classification, object detection, and segmentation.

12
August, 2019
demo_image
Week 7 & 8 | Advanced Deep Learning
10:00 - 18:00
RAMAT HAHAYAL, TEL AVIV

In the last 2 weeks of the course, lectures will cover advanced topics such as GANs, Action Recognition, Reinforcement Learning, and more.

19
August, 2019
demo_image
Week 7 & 8 | Final Projects and Closing Night
10:00 - 18:00
RAMAT HAHAYAL, TEL AVIV

In the last 2 weeks, Hands-on time will be reserved for work on their final deep learning project and demos.

Meet Our Mentors

עידו רוזנברג

Ido Rozenberg

Co-founder and VP R&D at Razor Labs
Head of the program
מיכאל זולוטוב – Copy

Michael Zolotov

Co-founder and CTO at Razor Labs

Tips From Our Graduates

IRA

Ira

Deep Learning Engineer
"Deep Learning is all about challenges. If you want to stay up-to-date, make a general overview of the cutting-edge challenges with whom the world of AI is facing at the moment. You can find the latest advances while reading AI blogs on medium and watching Youtube Vlogs. "
דניאל בנית

Daniel

Deep Learning Engineer
"A personal advice I can give you is to suspend your gym membership or any other commitments for these two months. You will stay beyond the defined hours from your own will, to practice and absorb all the knowledge and experience you can get from the mentors and the projects in this short period."
Rafael

Rafael

Deep Learning Engineer
"Don’t be afraid to ask questions! The program was built with a diversity of highly-qualified individuals to allow its members to learn from each other. Some are better with code and some with math theory - All is necessary to become an excellent Deep Learning Engineer.
Daniel

Daniel

Deep Learning Engineer
"The team will soon become your friends for life. They will help you pass the course from the very first day and after they will turn to your Deep Learning community. Together you'll grow to be the AI leaders you dreamt of being."
אלירן שמילה

Eliran

Deep Learning Engineer
"The course is very intense. It contains subjects from approximately five different academic courses in only short eight weeks! Excelling it is possible only with hard work, fully focused on the aim - applying AI to solve the world's most demanding problems."
גיא פרנקל

Guy

Deep Learning Engineer
"In short - Be focused and eager to learn. have fun and meet amazing people - they can become your friends for life."
Tal

Tal

Deep Learning Engineer
" You are about to learn some, literary, deep subjects. It won’t be easy, but don't give up! That's the reason our mentors are here to help you 24/7, taking you hand in hand to the finish line."

Subscribe now and receive weekly newsletter with educational materials, new courses, interesting posts, popular books and much more!