FROM DATA TO AI: IN THE FOOTSTEPS OF AI

Ever wonder how your favorite games predict your next move, or how apps know exactly what you’re looking for? The magic behind these smart tools is Artificial Intelligence (AI), and now it’s your turn to unlock its secrets! In this course, you'll step into the exciting world of AI and Machine Learning (ML), starting with how data is collected and leading all the way to building your very own intelligent systems.
Format

Online
Course

Plan

Self-paced

Author

Vasyl Lyashkevych

Age

13-17 years

Duration

on average,
2 months

Price

€10

From data to AI: in the footsteps of AI

From creating virtual assistants that understand you, to making apps smarter and faster, you’ll dive deep into the tools and techniques that power the technology of tomorrow. Whether you're a beginner or have dabbled with tech before, this course will teach you how to turn data into real-world AI solutions – all while having tons of fun with hands-on projects and challenges.

What to expect

Data to the Rescue

Dive into the world of data and learn how it’s the key to AI’s power

Create AI Magic

Use tools like Python and SQL to build machine learning models and explore deep learning

Problem Solving with AI

Discover how AI is used in industries like gaming, healthcare, and entertainment


Learning Objectives

  • Understand how AI works, from data collection to creating AI products.

  •  Get to know the core ML algorithms and how they solve problems.

  • Learn how data is collected, cleaned, and prepared for AI models

  • Explore neural networks and how they help AI solve complex challenges

  • Get insights into designing real-world AI applications

Course Structure

Intro to Data & AI

Discover what AI is, how data fuels AI, and its impact across industries

Data Engineering Basics

Learn how to collect, store, and process data for AI applications

Feature Engineering

Transform raw data into meaningful features to boost AI model performance

Exploring Machine Learning

Understand key ML concepts and explore real-world uses like image recognition and fraud detection

Deep Learning Fundamentals

Dive into neural networks and learn how deep learning powers advanced AI systems

Building Your First AI Model

Create your own AI model and test it using Python and popular ML libraries

AI Applications in Action

Explore AI-driven systems in real life, like chatbots, recommendation engines, and more


Prompt Engineering

Learn how to create effective prompts to interact with AI models, like ChatGPT


Designing Smart Systems

Understand how to design AI products that solve real-world problems and improve user experiences

Final AI Project

Build and present your own AI-powered project, showcasing your new skills

Course Lessons

Meet Your Mentor:

Vasyl Lyashkevych

Ph.D. in Computer Science with 20+ years of experiencein research and education

15+ years in R&D and 10+ years in enterpriseinnovation and business solutions

Expertise in developing AI-driven strategies,problem-solving methodologies, and innovation frameworks

Author and co-author of 70+ scientificpublications, 12 whitepapers, and one patent

Proven ability to turn complex ideas intoreal-world solutions through creative thinking and data-driven strategies