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Every summer, three years in a row we invite the best industry specialists, experts, mentors and lecturers from leading IT companies to create a unique educational platform for studying the features and novelties of artificial intelligence technologies.

Goal: To create an educational platform for studying theoretical foundations and practical skills between students and the IT industry in the field of artificial intelligence. To strengthen the attention of students of technical specialities to the challenges and opportunities provided by the technology of artificial intelligence. To create a basis for the development and creation of innovative products and solutions that use artificial intelligence.

Artificial intelligence is a powerful driver of change that opens up limitless opportunities for the development technologies.

When: 24 June – 5 July 2024

Format: Online/exclusive offline meetings

School language: English

Target audience: Students of technical specialities in Ukraine and abroad.

School Topics: Python, Big Data, Cloud Computing, Databases, Machine Learning, Deep Learning,Mobile Development, Web Development, Modern technologies of Artificial Intelligence

Whom we are looking for (or we need):
– speakers, mentors, mentors for school work
– partners for high-quality presentations of the school

Write to our inbox: marketing@remove-this.lnu.edu.ua

PS. By creating artificial intelligence, we open up limitless possibilities for the future, where machine and man can work together to achieve incredible successes in science, art and life in general – chat GPT!

BASIC TOPICS (3 DAYS)

Day 1. Python for DS, ML&DL

Python
Python basics
Python for data analysis
Python for visualization
Python for data mining

Machine Learning toolchain
Numpy, Pandas, Scikit-learn
TensorFlow, Keras, PyTorch
 Apache MXNet
OpenCV
OpenAI Gym, Apache Airflow

Git, Data Version Control (DVC)

Day 2. Big data and cloud computing

Big Data
Big Data in AWS
Big Data in GCP
Big Data in Azure
Big Data Visualization

Cloud services and technologies. Cloud computing
Amazon Web Services
Google Cloud Platform
MS Azure
SaaS, PaaS and IaaS
Industry Cloud Platforms

Databases
Relational, non-relational, distributed databases
Data warehouse, ETL, Data Workflows

Day 3. Мachine learning

Мachine learning basics
Supervised Machine Learning
Reinforcement Machine Learning
Unsupervised Machine Learning
Deep learning

ADVANCED TOPICS

Advanced Мachine learning
CV, Image recognition and classification
NLP, Speech recognition, Audio recognition, Text recognition and emotion detection
Deep learning for forecasting
End-to-end Machine learning projects/models to solve practical problems
Generative models, artificial art
Language models, Transformers, BERT, GPT models family (GPT-1, 2, 3, 3.5, 4)
Adaptive AI
AI Trust, Risk and Security Management (AI TRiSM)
AutoML
Multi-modal learning
Democratized AI

High-performance computing
Fundamentals of parallel, hybrid and distributed computing
Getting Started with Jetson Xavier NX Developer Kit
Getting started with Google Coral's TPU USB Accelerator or/and Google Coral     Development Board

Mobile development
Android, iOS
Flutter
Kotlin Multiplatform for Cross-Platform Mobile Development
Swift
React Native for mobile
Integration of artificial intelligence systems in mobile development
Distribution of mobile applications

Web development
Web development using Flask / Django
Authentication methods for web services
Organization of infrastructure and deployment of web services
Web analytics, Social network analysis, Crawlers, analytical platforms
Integration of artificial intelligence systems in web development
JavaScript

Software development
C, C++, Java, Go
Digital Immune System
Superapps
Platform Engineering
AI Code Generation

IoT, IIoT, AIoT

Internet of Things, Industrial Internet of Things
Artificial Intelligence of Things
Edge AI, Embedded AI

AI in Automotive

Atomization AI

Virtual reality, Metaverse, Digital twins

Usage of AI in modern services, applications, platforms
AI in COVID researches and solutions
AI in sustainable, ecological and environmental technologies
Decision Support Systems and Applied Observability  

Cyber security and AI

Soft Skills
Communication
Collaboration and teamwork
Time management and organization
Empathy / Emotional intelligence
Owning up to errors
Problem solving and creativity
People skills and management
Innovation
Analytical thinking

Opening ceremony of the school

Volodymyr Melnyk — Rector at Ivan Franko National University of Lviv

Vitaliy Kukharskyy - Vice-Rector for Research, Teaching and IT-Development

 

 

Speakers (in process)

 

 

General partner

Official partners

Partner

Participant

Information partner

 

 

How to join?

1) To provide the school with a speaker or mentor;


2) to support the project implementation by becoming its partner.

Advantages of partnership:

  • additional promotion of your company among students;
  • communication and involvement of the students into the company's activities;
  • distribution of information content and posts about the company in the social networks of the University;

If you want to take part in schoolwork or cooperate with us, send us an email: marketing@remove-this.lnu.edu.ua