Supporting by:
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@ 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@ lnu.edu.ua