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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!

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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
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