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 Ghana
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
5Field-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 The scikit-learn developersWidely used for classical machine learning workflows such as preprocessing, model selection, cross-validation, and pipeline construction.
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XGBoost The XGBoost developersUsed for high-performing gradient-boosted models on structured business data, especially when strong predictive accuracy is required.
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TensorFlow GoogleUsed for building and training neural networks and deploying deep learning models in production.
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MLflow DatabricksUsed to track experiments, manage model versions, and support reproducible machine learning workflows.
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Power BI MicrosoftUsed to communicate model outputs, monitor performance dashboards, and present predictive insights to non-technical stakeholders.
Where this course runs
Advanced Machine Learning and Predictive Modelling Training is delivered in the cities below — pick the one that fits your schedule.
