Practical Data Science for Developers
Upskilling Seminar, 8 Academic Hours
Code Smarter with Data Science
Why Enroll in this Seminar?
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 Seminar, you will be guided through the essentials of machine learning, deep learning, and generative AI.
This upskilling seminar combines theoretical instruction with short hands-on exercises, providing you with practical insights and applicable skills.
By enrolling in this seminar, you will be equipped with the necessary knowledge and tools to incorporate data science concepts into your projects.
Who should attend?
- Software Developers
Prerequisites
- Basic Python skills
Learning Goals and Outcomes
By the end of the seminar, participants will:
- Gain an introductory understanding of key data science concepts and apply these techniques.
- Acquire essential insights to integrate machine learning, deep learning, and generative AI into software development projects.
What You'll Get...
- 8 academic hours of live classes with a professional instructor, teaching in your local language.
- Access to recordings of the sessions, in case you missed one or for reinforcement, for the duration of the course.
- Certificate of Completion, also a digital one for LinkedIn.
- Lifelong membership in Wawiwa’s global alumni community, made of tech professionals that graduated Wawiwa’s reskilling and upskilling programs around the world.
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
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
- Short exercise
- Non-numeric inputs
- Natural Language Processing
- Computer Vision
- Neural Networks
- Generative AI and pre-trained models
- LLMs
- Prompting
- Tuning
- Business Impact
- Short exercise
- Pretrained models – Hugging Face
- Overview
- Short exercise
Interested in more details?
We’d be happy to answer all your questions!
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