Machine Learning in Practice – Detection and Classification (AICLS)

AI - Artificial Intelligence, AI for developers

This course provides a practical framework for building detection and classification systems using machine learning. You will cover the model lifecycle: data preparation and feature engineering, algorithm selection and evaluation metrics (precision/recall, ROC-AUC, F1) and model interpretation.

It focuses on avoiding common mistakes such as data leakage and bad validation, ensures reproducibility and safe data handling, and covers deployment and operations: Docker/REST, monitoring and drift detection, retraining, sample notebooks, pipelines and SOC/MLOps integration.

THIS TRAINING COURSE WILL HELP YOU:

  • Differentiate classic ML and deep learning for detection tasks
  • Select proper metrics and evaluate models (precision/recall, ROC-AUC, F1)
  • Design and build a classification pipeline: features › model › interpretation
  • Deploy models with Docker and CI/CD and monitor model drift

WHO SHOULD ATTEND?

  • Data and ML engineers and analysts
  • SOC and security teams handling detection
  • Backend developers and anyone building automated detection

COURSE LOCATION AND AVAILABLE DATES



Private training

This course is not scheduled as a public course.
It is delivered exclusively as customised training. The content, duration, date, and delivery format are tailored to the customer's requirements and can also be provided in English.

Request customised training

Course content:

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  • Introduction & ML basics
    1. Terminology: supervised/unsupervised, classification vs regression, anomaly detection
    2. ML vs DL: when tree-based models suffice and when CNN/LSTM/Transformers are needed
    3. Data leakage, train/test split, cross-validation — common mistakes and prevention
  • Detection domains (security use-cases)
    1. Phishing & spam: text/URL features, domain reputation
    2. DGA/malicious domains: length, entropy, n-grams, WHOIS/TLS attributes
    3. Log anomalies: outlier detection, DBSCAN, Isolation Forest
    4. Data sources: Alexa/Tranco, PhishTank, internal logs, synthetic data
  • Feature engineering & model selection
    1. Lexical/statistical features for domains/URLs, TF-IDF, hashing trick, embeddings
    2. XGBoost/LightGBM, SVM, RandomForest vs simple CNN/LSTM
    3. scikit-learn pipelines, preventing leakage, reproducibility
    4. Hyperparameter tuning: GridSearchCV vs Optuna
  • Metrics and validation
    1. Confusion matrix, ROC vs PR curve (imbalanced data)
    2. F1, balanced accuracy, MCC
    3. Model interpretation: SHAP/LIME
    4. K-fold CV, stratification, time-based split
  • Deployment and operations
    1. Model export (pickle/joblib vs ONNX)
    2. Docker + REST API (FastAPI/Flask), CI/CD pipeline
    3. Quality monitoring, prediction logging, drift detection, retraining (Airflow/cron), versioning (MLflow/DVC)
  • Hands-on workshop
    1. From CSV to classifier: data prep, feature engineering, model training
    2. Metric visualization (ROC/PR), SHAP interpretation
    3. Mini-deploy (local REST API) + manager-facing report
  • Bonus / extensions
    1. Active learning, semi-supervised approaches
    2. Feature store & model registry (Feast, MLflow)
    3. SIEM/SOC integration, auto-enrichment of alerts
    4. MLOps basics: monitoring, governance, reproducibility
Prerequisites:
Basic Python skills and a basic understanding of machine learning.
Schedule:
2 days (9:00-17:00)

Training and learning environment

IT classroom with desks, computer monitors, and a projection screen at the front.
What does the environment for in-person IT courses look like?We hold training courses in our own classrooms equipped with modern computer equipment for each participant and a large projection screen. Each workstation is fitted with a powerful computer for seamless practical exercises, and the environment supports a calm, friendly atmosphere during training.
IT classroom with desks, computer monitors, and a projection screen at the front.
Do I need to bring my own laptop to the classroom IT course?Our training rooms are fully equipped, so you do not need to bring your own laptop. A modern computer with all necessary hardware and software is ready for you at your workstation.
Sample ICT Pro certificate of successful completion of an IT training course.
Will you receive an official certificate after completing an IT course?Yes, upon successful completion of the training course, you will receive an official ICT Pro certificate confirming your participation and acquired technical skills. You can use it to verify your qualifications or add it to your professional profile.
Exterior view of the COMGUARD office building on Sochorova Street in Brno.
Where can you find our training center in Brno?The premises of the ICT Pro training center are located on the 1st floor of the COMGUARD building at Sochorova 38 in Brno. Positioned on the border of Žabovřesky and Komín, the location is easily accessible by both car and public transport.
Exterior view of the Opatov Park office building in Prague, Chodov.
Where can you find our training center in Prague?The premises of the ICT Pro training center are located on the 1st floor of the Opatov Park building at Líbalova 1, Prague 11 – Chodov. The location provides a comfortable environment for your education with convenient access.
Fully equipped kitchenette with a coffee machine, microwave, sink, and shelves with cups and glasses.
What facilities and refreshments are available to you during training breaks?Our training centers feature a fully equipped kitchenette for a comfortable break during your courses. The facilities include a coffee machine, microwave, kettle, and a wide selection of drinks and snacks.
Coffee station featuring an automatic coffee machine, yellow and white cups, glasses, and syrups.
What beverage refreshments are available during your course?A beverage station with a coffee machine, teas, syrups, and water is at your disposal throughout the entire training session. You can enjoy a coffee or another drink of your choice anytime during breaks.
Table with sweet pastries, fruit syrups, a water dispenser, and glasses set up for training participants.
What light refreshments are provided for you during the courses?During course breaks, participants can enjoy light sweet snacks, pastries, and fruit syrups to mix their own drinks. Fresh water dispenser and plates are also available for your convenience.
Wicker baskets filled with packaged savory snacks, sweet biscuits, and snack bars.
Should I bring my own snacks to ICT Pro training?There is no need to. A wide selection of savory snacks, sweet biscuits, and snack bars is available for you during breaks. Boost your energy for all-day focus right inside the training center premises.
Outdoor wooden terrace with green surroundings by the glass building of the training center.
Can you spend training breaks in the fresh air?Yes, an outdoor terrace is available at our training center. During breaks between learning sessions, you can relax in the fresh air in a pleasant green environment.
Spacious outdoor wooden terrace with seating and views of the surrounding area.
Where can you relax during course breaks?Our training center features a spacious outdoor terrace with seating options. During breaks between learning sessions, you can step outside to relax and recharge in the fresh air.