AI Compass workshop

You first step to AI success

You know you must take action to embrace AI, but you're not sure where to start. This one-day workshop is designed specifically for decision-makers like you—leaders with little to no background in IT but a clear understanding of the need to uncover opportunities for AI in their organizations. This is not just an educational experience; it’s a results-driven session that equips you with practical tools to identify, map, and prioritize processes for automation and AI integration. By the end of the day, you’ll have actionable insights and a framework to confidently lead conversations about AI adoption, ensuring your organization is ready to capitalize on its transformative potential. Don’t just learn about AI—start making it work for you!

Your One-Stop-Shop for Tech Skills

Building CI/CD Pipelines in the Cloud

• Building CI/CD Pipelines in the cloud

•Use of Automation Tools

•Improvement of deployment processes

Frontend Frameworks: React Basics

• Learning React basics •Building interactive components •Data management within React apps

Introduction to AI for Office Workers

• Understanding basic principles of AI •Application examples for office uses •Identifying values for work optimization

Introduction to Fullstack Development

• Understanding the Fullstack development process •Identification of roles and technologies •Creating a basis for the development of integrated systems

Database Management for Fullstack Developers

• Understanding database principles •Integration of databases in applications •Performance improvement and optimization

MLOps with AWS SageMaker

• Using AWS SageMaker •Deployment of models and automatic management in the cloud •Effective work with ML environments

AWS Essentials

• Familiarity with AWS •Understanding central services •Creating a basic environment in the cloud

Database Design and SQL

• Correct database design •Writing efficient SQL queries •System performance improvement

Version Control with Git and GitHub

• Git control for version management •Work in teams with GitHub •Easy project management

Computer Vision with PyTorch

• Application of advanced models in image processing •Working with the PyTorch library •Development of advanced computer vision applications

Developing RESTful APIs for Fullstack Apps

• RESTful API principles •Building an efficient and modular API •Data management between the server and the client

Security Operations Center (SOC) Essentials

• SOC central structure •Management of advanced monitoring systems •Response to events in real time

Building Dashboards with Google Data Studio

• Building impressive and interactive dashboards •Integration of data from a variety of sources •Effective work with Google Data Studio

Building Reproducible ML Pipelines

• Building restored work processes •Use of effective project management techniques •Ensuring the quality of data and results

JavaScript Essentials

• Understanding JavaScript principles •Creating interactive websites •A basis for advanced programming

Tangible business examples: The courses incorporate real-world cases and offer applicable tools to deal with threats in the industry.

• Learning the principles of ethical hacking •Use of security assessment tools •Understanding secure penetration processes

AI for Marketing and Content Creation

• Building smart marketing campaigns •Improving the visibility of the marketing content •Creating an AI-based strategy

Using ChatGPT for Office Tasks

• Streamline office tasks with ChatGPT •Create content quickly •Conducting effective research

Join us to learn, experience and be at the forefront of cyber protection.

• Web application security •Detection of attacks such as SQL Injection •Development of secure applications

Fullstack Development with MEAN Stack

• Using MEAN Stack for system development •Integration between Frontend and Backend •Creating modern apps

DevOps with Cloud Technologies

• Integration between DevOps and the cloud •Using Docker and Jenkins •Cloud project management

Authentication and Authorization with JWT

• Secure user authentication •Authorization management with JWT •Protection of server side systems

Infrastructure as Code with Terraform

• Infrastructure management as code •Using Terraform to manage environments •Automation of infrastructure deployments

Building Websites with Vue.js

• Creating websites with Vue.js •Data management and work with State •Using advanced tools like Vue CLI

AI for Data-Driven Decisions

• Data analysis in an accessible way •Information-based decision making •Quickly identify insights

Time Series Forecasting

• Time dependent data analysis •Use of trend forecasting models •Deep understanding of ARIMA and LSTM

Real-Time Applications with Socket.io

• Creating apps in real time •Using Socket.io and WebSockets •Building a dynamic user experience

Introduction to Backend Development

• Understanding the principles of server side development •Identification of Backend roles •Creating basic projects

Testing Fullstack Applications

• Writing automated tests •Work with tools like Jest and Cypress •Improving code reliability

Introduction to Machine Learning

• Understanding machine learning principles •Work with basic models such as regression and classification •Creating a basis for studying advanced subjects

Practical use of the material studied: the courses provide knowledge that can be immediately applied in work environments, in personal projects and in organizational information security.

• Cloud security management •Identification of threats unique to the cloud •Development of defense strategies

Visualization with Tableau

• Mastery of Tableau tools to create advanced visualizations •Understanding how to convey stories through data •High level report design

Version Control for Machine Learning Models

• Version management for models •Using advanced tools to manage experiments •Improving control of ML systems

Responsive Web Design

• Learning how to create websites optimized for all devices •Improving the user experience with responsive design

Flask for Microservices

• Creating microservices with Flask •Integration with existing services •Building modular applications

Gaining practical experience: During the courses, participants will experience security practices with advanced tools such as Metasploit, Wireshark and Kali Linux.

• Penetration testing methods •Work with dedicated tools •Evaluation of weaknesses and risks in organizations

Python for Backend Development

• Working with Python on the server side •Use of libraries and plugins •Development of simple Backend applications

Advanced JavaScript

• Understanding advanced techniques in JavaScript •Use of ES6 and beyond •Solving complex code problems

DevOps for Machine Learning: Bridging the Gap

• DevOps and ML integration •Integration and process management •Improving the infrastructure of the ML systems

Authentication and Authorization in Fullstack

• User management and information security •Working with JWT and OAuth •Improving the security of the application

Microsoft Azure Fundamentals

• Learning key concepts in Azure •Definition of basic resources •Work with Azure Portal

Orchestration with Kubernetes

• Managing Kubernetes Clusters •Orchestrate applications with Pods •Improved performance and reliability

Serving Models with Kubernetes

• Working with Kubernetes for scalable deployments •Resource management and optimization for models

Generative AI for Presentations

• Creative design with the help of Generative AI •Creating professional slides •Use of innovative designs

Version Control with Git and GitHub

• Working with Git for code management •Cooperation with GitHub •Using tools to improve projects

Deploying Machine Learning Models with Docker

• Creating containers with Docker •Deploying models in distributed environments •Work with ML-based systems

Why choose our courses?

• Understanding basic concepts in information security •Identification of threats and risks •A basis for advanced learning

Data Analysis for Decision Making

• In-depth understanding of decision-making processes •Data analysis to select business scenarios •Application of trend analysis principles

CI/CD Pipelines with Jenkins

• Building CI/CD Pipelines •Using Jenkins for automation •Continuous project management

Introduction to Power BI

• Using Power BI to create professional reports •Processing and analyzing data from various sources •Development of business intelligence capabilities

React and Node.js Integration

• Building a client-side interface with React •Working with Node.js on the server side •Full integration between the systems

Introduction to Cloud Computing

• Understanding cloud computing principles •Familiarity with models and central services •A basis for advanced study

AI-Powered Writing Tools

• Improving writing skills •Using AI tools for editing and styling •Creating personalized content

Building Web Applications with MERN Stack

• Work with MERN Stack •Development of interactive applications •Use of advanced data systems

Advanced Neural Networks

• Implementation of improvements in neural networks •Working with adapted and improved models •Learning advanced optimization techniques

Django Framework Essentials

• Application development with Django •Database management with ORM •Creating advanced applications

Transformers and Modern NLP

• Familiarity with modern Transformer models •Development of advanced NLP applications •Work with BERT, GPT and the like

Introduction to SQL

• Learning SQL basics for working with data •Ability to retrieve and organize data from databases •Knowledge of basic work methods

Explainable AI (XAI)

• Improving the explanatory capabilities of the models •Building transparent models for business use •Decision analysis and confidence models

Reinforcement Learning for Complex Systems

• Applying reinforcement learning to dynamic situations •Working with complex systems •Development of reward-based algorithms

Serverless Architectures with AWS Lambda

• Serverless application development •Using AWS Lambda and API Gateway •Building efficient systems

Advanced SQL Techniques

• Developing skills in complex SQL queries •Analyze data more efficiently •Solving advanced database problems

Cryptography and Data Protection

• Understanding the principles of cryptography •Use of encryption techniques •Organizational and digital information security

Containerization with Docker and Kubernetes

• Using Docker to create containers •Kubernetes management •Cloud deployment

Advanced Malware Analysis

• Malware analysis •Use of advanced identification tools •Understanding malware mechanisms

Deep Learning with TensorFlow

• Building deep neural networks •Understanding applications in image and language processing •Using the TensorFlow library

NoSQL Databases: MongoDB

• Learning NoSQL databases •Data management in MongoDB •Work with documents and flexible structures

Pipeline Automation with MLflow

• Automation with MLflow •Management of follow-up of experiments •Performance improvement and process management

Unsupervised Learning Techniques

• Understanding the principles of unguided learning •Application of clustering and dimensionality reduction techniques •Solving complex problems without labels

Automation Scripting with Python for DevOps

• Writing scripts in Python •Using APIs for automation •Managing processes effectively

ML Ops: Machine Learning Operations

• Understanding the principles of ML Ops •Managing processes and models on a large scale •Integration of ML in the cloud and complex infrastructures

Data Analysis with Google Sheets

• Using Google Sheets tools for data analysis and management •Creating simple reports and dashboards •Tools for daily data analysis

Data Analysis with Excel

• Developing advanced skills in Excel •Use of built-in tools for data analysis •Understanding patterns and trends from existing information

Performance Optimization for Frontend

• Learning performance improvement techniques •Website analysis with Lighthouse •Building fast and customized websites

Cloud-Based DevOps with AWS

• Working with DevOps in the cloud •Using AWS to deploy processes •Building efficient cloud environments

Cloud Storage and Database Management

• Cloud storage management •Working with distributed databases •Performance improvement and data management

Introduction to HTML and CSS

• Understanding HTML and CSS basics •Creating basic pages •Creating a strong foundation for advanced learning

Monitoring and Logging for ML Systems

• Monitoring models in real time •Use of log analysis tools •Ensuring the stability of the systems

Containerization with Docker

• Creating containers with Docker •Image management and deployment •Work in distributed environments

Introduction to MLOps

• Understanding MLOps principles •Improving model development processes •Creating a basis for effective projects

Data Cleaning for Non-Coders

• Cleaning and organizing data efficiently •Working with messy data •Creating a stable foundation for advanced data analysis

Building APIs with Express.js

• Building APIs with Express.js •Route and data management •Custom API development

AI for Customer Support Teams

• Optimizing customer service processes •Providing quick solutions to common problems •Improving customer satisfaction

Advanced React and State Management

• Understanding complex State management •Using Redux and Context API •Development of advanced applications

Cloud Security Fundamentals

• Understanding information security risks in the cloud •Use of permission management tools •Building secure systems

Introduction to DevOps

• Familiarity with DevOps concepts •Understanding processes and roles •Creating a basis for advanced learning

AI in HR and Recruitment

• Streamlining recruitment processes •Quick resume analysis •Creating an advanced candidate experience

RESTful API Design

• RESTful API design and management •Work with HTTP and interfaces •Modern and friendly API development

Monitoring and Logging with Prometheus and Grafana

• Cloud system monitoring •Creating customized dashboards •Real-time data analysis

AI-Powered Email Management

• Efficient management of the mailbox •Creating an automatic customized answer •Scheduling and prioritizing tasks

Google Cloud Platform Basics

• Work with GCP •Use of basic cloud services •Familiarity with environment management tools

DevOps for Security: DevSecOps Basics

• Security integration in DevOps processes •Early threat detection •Use of process security tools

Introduction to Business Intelligence

• Familiarity with business intelligence as a management tool •Creating professional business reports •Using data to improve business performance

Deploying Fullstack Applications

• Application deployment with modern tools •Automation of deployment processes •Management of production systems

AI in Project Management

• Project management with the help of AI •Intelligent tracking and time management •Improving work processes

Node.js Basics

• Learning to work with Node.js •Development of basic applications •Simple server management

Hyperparameter Tuning and Optimization

• Adjusting parameters with advanced tools •Improving model accuracy and performance •Smart optimization

CSS Preprocessors: SASS/LESS

• Improving CSS writing with advanced tools •Using variables and functions in SASS/LESS •Efficient and clean work in CSS code