Practical Deep Learning and OpenAI Tools

Upskilling Seminar, 8 Academic Hours

Elevate Your Projects with AI Expertise

Why Enroll in this Seminar?

Deep learning is a powerful subset of Artificial Intelligence (AI) that solves complex problems. It involves training large neural networks to recognize patterns in data, enabling tasks like image recognition and language translation. OpenAI tools harness the power of deep learning to generate human-like text, code, and more.

In this seminar, you’ll watch Machine Learning (ML) and Deep Learning (DL) in action. You’ll dive into Jupyter notebooks with accessible Python code and unravel the core concepts of these technologies. Additionally, you’ll explore how to effectively use OpenAI tools to harness the power of AI in practical applications.

By enrolling in this seminar, you will gain practical skills and hands-on experience with cutting-edge AI technologies.

Who should attend?

  • Software Developers
  • Data Scientists


  • Some orientation of Data Analysis / Data Science
  • Basic Python skills

Learning Goals and Outcomes

By the end of the seminar, participants will:

  • Understand the fundamentals of Machine Learning and Deep Learning.
  • Gain hands-on experience with TensorFlow and Jupyter notebooks.
  • Learn to leverage OpenAI tools for practical AI applications.

What You'll Get...

Professional Supervisor

This unique seminar was built by a professional team made up of the leading experts in Software Development and AI, with vast knowledge and experience in training too.
Maor Mugrabi

Maor Mugrabi

Head of AI Courses for Software Developers

Maor is a data geek deeply passionate about Artificial Intelligence (AI) and Machine Learning (ML).

Maor is dedicated to helping businesses leverage these technologies effectively. Maor is an entrepreneur, managing his own AI/ML development and consultancy firm. Maor’s work has empowered dozens of companies to innovate and grow through custom AI/ML implementations.

He is also a lecturer at John Bryce, where he passes his knowledge and expertise in Machine Learning and Python to his students. 

Maor holds a Bachelor’s degree in Applied Mathematics from Bar-Ilan University. 

What Do Graduates Have to Say?

Syllabus (1 Day)

  • Machine Learning and Deep Learning Fundamentals
  • TensorFlow
  • Deep Neural Networks for Image Classification
  • Latest AI Algorithms for Natural Language Processing (NLP)

Interested in more details?

We’d be happy to answer all your questions!

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