Advanced Machine Learning and Predictive Modelling Online Course
Join our virtual, live instructor-led session and master Advanced Machine Learning and Predictive Modelling Training from anywhere in the world.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| AML-07 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| AML-07 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| AML-07 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| AML-07 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| AML-07 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| AML-07 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
Advanced Feature Engineering and Data Preprocessing
High-Performance Ensemble Learning and Boosting
Deep Learning Architectures for Predictive Modelling
Automated Hyperparameter Tuning and Optimization
Explainable AI and Model Interpretability
MLOps and the Machine Learning Lifecycle
Ethical Governance and Strategic Integration
Market-specific guidance for Portugal
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
6Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Scikit-learn scikit-learn developersUsed for classical machine learning workflows such as preprocessing, model selection, cross-validation, and baseline predictive models.
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XGBoost The XGBoost ContributorsUsed for gradient-boosted tree models that often deliver strong performance on structured business data.
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TensorFlow GoogleUsed for building and training neural networks and deploying scalable predictive models.
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MLflow DatabricksUsed for experiment tracking, model registry, and lifecycle management in MLOps workflows.
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Docker Docker, Inc.Used to package models and dependencies into portable containers for consistent deployment.
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Apache Airflow Apache Software FoundationUsed to orchestrate data pipelines, scheduled retraining jobs, and automated model workflows.
Where this course runs
Advanced Machine Learning and Predictive Modelling Training is delivered in the cities below — pick the one that fits your schedule.
