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 Singapore
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 rapid prototyping of classification, regression, clustering, feature preprocessing, and model validation workflows.
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XGBoost XGBoost developersUsed for high-performing gradient-boosted tree models on structured business data.
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TensorFlow GoogleUsed for building and deploying neural network models when teams need flexible deep-learning workflows.
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MLflow MLflowUsed for experiment tracking, model registry, and reproducible model lifecycle management.
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Apache Airflow Apache Software FoundationUsed to orchestrate data prep, retraining, validation, and deployment tasks in scheduled ML pipelines.
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Kubeflow KubeflowUsed to manage machine learning workflows on Kubernetes for scalable training and deployment.
Where this course runs
Advanced Machine Learning and Predictive Modelling Training is delivered in the cities below — pick the one that fits your schedule.
