Practical Data Science for Developers

Upskilling Course, 8 Academic Hours

Code Smarter with Data Science

Why Enroll in this Course?

Data Science is a field that leverages the power of data to derive meaningful insights and inform decision-making processes. At its core, it involves the use of various techniques and tools to collect, process, and analyze large volumes of data. By uncovering patterns and trends within the data, Data Science combined with Artificial Intelligence (AI) and Machine Learning (ML), enables developers to build predictive models and create intelligent applications.

In the Practical Data Science for Developers Course, you will gain a solid foundation in the essential concepts and techniques of data science, along with an overview of the wide usages of the field. You will engage with topics such as machine learning models, natural language processing, computer vision, and cognitive computing.

By enrolling in this course, you will gain knowledge of data science principles, and practical skills to apply in your coding.

Who should attend?

  • Software Developers

Prerequisites

  • Basic Python skills

Learning Goals and Outcomes

By the end of the course, participants will:

  • Understand fundamental AI concepts and various machine learning models.
  • Gain practical experience in NLP, computer vision, and cognitive computing applications.
  • Learn to apply deep learning techniques, including neural networks and Generative AI models, to real-world problems.

What You'll Get...

Professional Supervisor

This unique course 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

  • AI Introduction
  • Machine Learning
    • Supervised Models
    • Unsupervised Models
  • Natural Language Processing
    • Chatbots 
    • Machine Translation
    • Speech Recognition
  • Computer Vision
    • Interpret and Understand Visual Data
    • Models and Tools
  • Cognitive Computing
    • Simulate Human Thought Processes 
    • Decision-Making 
    • Personalized marketing
  • Neural Networks
    • Deep Learning Overview
    • Image and Speech Recognition
    • NLP
  • Generative AI and Pre-Trained models
    • LLMs 
    • Prompting
    • Tuning
    • Business Impact

Interested in more details?

We’d be happy to answer all your questions!

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