Data Engineering And security
winter school

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

Software Development

• C, C++, Java, Go, Python
• Digital Immune System
• Superapps
• Platform Engineering
• Software and System architecture principles
• Decentralized applications, Web3
• Version Control Systems: Git, Data Version Control (DVC), etc.

Mobile Development

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

Web Development

• Web development using Flask / Django, React.js, etc.
• 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
• SaaS, PaaS, and IaaS

High-Performance Computing

• Fundamentals of parallel, hybrid and distributed computing
• GPGPU, CUDA, OpenCL
• Getting Started with Jetson Developer Kits (Xavier NX, AGX Orin, Orin Nano Super, AGX Thor)
• Getting started with Google Coral's TPU USB Accelerator or/and Google Coral Development Board

Databases & Data Warehouses

• Relational, non-relational, distributed databases
• Data warehouse, ETL, Data Workflows
• NoSQL: Key-Value, Column-based, Document-based, Graph databases
• Database usage for Data Science, Data Analysis and Machine Learning

Cloud Services and Technologies

• Amazon Web Services
• Google Cloud Platform
• MS Azure

Big Data

• Big data frameworks: Spark, kafka, hadoop, databricks
• Big Data in AWS
• Big Data in GCP
• Big Data in Azure
• Big Data Visualization

Data Analysis & Data Processing

• Data analysis, Data analytics, Statistical data analysis, Predictive Analytics
• Business analytics, Web analytics, Biostatistics, Time Series Analysis
• Crawlers
• Optimization tasks
• Recommender systems
• Data processing and data visualization
• Data mining: RapidMiner, Weka
• Analytics platform: Microsoft Power BI, Tableau, SAP Analytics

Machine & Deep Learning

• Machine and deep learning, Neural networks
• Supervised Learning
• Reinforcement Learning
• Unsupervised Learning
• Data sources (Kaggle, etc.)
• ML Hubs (Hugging Face, etc.)
• CV, Image recognition and classification
• NLP, Speech recognition, Audio recognition, Text recognition
• Emotion detection, Pose detection
• Deep learning for forecasting

Machine Learning Toolchain

• Basic libraries: Numpy, Pandas, Scikit-learn, Seaborn, matplotlib, sktime, skforecast
• TensorFlow, Keras, PyTorch, Apache MXNet
• CV Libraries and frameworks, OpenCV
• NLP libraries and frameworks, NLTK
• OpenAI Gym, Apache Airflow

Advanced Machine Learning

• Management systems of artificial intelligence
• Intelligent applications
• Enhanced intelligence WIPO Technology
• End-to-end Machine learning projects/models to solve practical problems
• Transfer learning
• Genetic Algorithms (GAs) in Machine Learning
• Adaptive AI
• AI Trust, Risk and Security Management (AI TRiSM)
• AutoML
• Multi-modal learning
• Democratized AI

Generative AI

• Generative models, text and speech generation, artificial art
• Diffusion models for image and video generation
• LLM, Transformers, BERT, GPT models family (GPT-1, 2, 3, 3.5, 4)
• LLM fine-tuning techniques
• ChatGPT usage, ChatGPT API, tokenization, creation and usage GPTs
• Opportunities of generative models
• Generative AI in the hands of hackers: what are the risks
• AI Code Generation, Copilot, etc.
• RAG systems, SELF-RAG, Self-Correcting and Self-Improving RAG systems
• Generated code issues
• Chat bots (СhatGPT, etc.)

Real-world AI Applications

• Usage of AI in modern services, applications, platforms
• Building of products empowered by AI
• Application of AI in cyber security and data processing
• AI in COVID research and solutions
• AI in sustainable, ecological and environmental technologies
• Decision Support Systems and Applied Observability
• AI in Automotive
• Atomization AI
• Virtual reality, Metaverse, Digital twins
• AI agents

Artificial Intelligence of Things

• Internet of Things (IoT), Industrial Internet of Things (IIoT)
• Artificial Intelligence of Things (AIoT)
• Embedded systems. Edge computing
• Edge AI, Embedded AI, Hailo AI
• Autonomous Systems (drones, vehicles, etc), autopilots

Cyber Security

• New types of attacks, analysis and protection
• Types of vulnerabilities and how to deal with them
• How to properly build a defense
• New tactics and strategy selection in SOC creating
• Engineering and Management of SOC Technologies
• Security Information and Event Management (SIEM) systems
• Intrusion Detection Systems/Intrusion Prevention Systems (IDS/IPS)
• Firewalls (FW)
• Endpoint Detection and Response (EDR) systems
• User and Entity Behavior Analytics (UEBA) tools
• Malware analysis systems and sandbox environments
• Artificial intelligence and machine learning for anomaly detection
• Anti-phishing and anti-malware
• Cryptology and encryption
• Information security management
• Security of computer networks and the Internet
• Privacy and protection of personal data
• Organizational and legal issues of information security
• Teamwork and presentation skills
• The latest approaches to the training of cyber security specialists
• Quantum cryptography
• Biometric authentication and multi-factor protection
• IoT device security
• Zero Trust Architecture