Participants will leave the course with

• The ability to use and run python code for basic AI models
• Understanding what’s under the hood of AI models
• Understand the AI training process mechanism

COURSE FEATURES

• In the course we will demystify concepts of machine learning basics and deep convolutional neural networks, back-propagation theory along with hands on examples.
• The course assumes no significant math background. The mathematical contents will be simplified, and the focus will be on the implementation tools.
• During the course period we’ll be available by mail\phone\chat to any questions of the attendees.
• Course will be given in Hebrew, but the training materials are in English.

DEVELOPMENT FRAMEWORKS

• During the course we will use python and work with Tensorflow and Pytorch.
• We will use GPU on clouds (Colab, Kaggle)

PRE-REQUISITES

• A basic experience in python programming is required (if you don’t have we recommend our courses: python for programmers or python for non programmers)

COURSE DURATION

• The course is online and takes 6 days, 2 hours each day that are split to theory and hands on learning.

THE INSTRUCTOR

• Tamir Nave has 10 years experience in the field of algorithms, focusing on computer vision, deep learning and reinforcement learning as a developer, team leader, consultant and mentor. Tamir holds a Bsc in math & EE and MSc in EE.

Tamir is the founder of the collaborative Hebrew blog for AI ai-blog.co.il and the podcasts amlek.ai and explAInable. Tamir worked as a freelancer on various projects and startups as a developer, consultant, mentor and an instructor. Some of his previous customers are: Microsoft, IAI, Israeli Intelligence Corps, ITC, CB4, Polygon Tech, Parkam, Senecio Robotics, Steam CC, Alma and many more…

COURSE SYLLABUS