Virtual Training
Research, Data Analytics, and Business Intelligence
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.
5 Days
Duration
Live Online
Delivery
12 Dates
Available
Certificate
Included
Master advanced machine learning to build high-performance predictive models, automate MLOps workflows, and deliver explainable AI insights using industry-standard frameworks and tools.
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
1
Advanced Feature Engineering and Data Preprocessing
2
High-Performance Ensemble Learning and Boosting
3
Deep Learning Architectures for Predictive Modelling
4
Automated Hyperparameter Tuning and Optimization
5
Explainable AI and Model Interpretability
6
MLOps and the Machine Learning Lifecycle
7
Ethical Governance and Strategic Integration
Built for Denmark
From your market
Real tools and case studies from Denmark — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
6-
Scikit-learn scikit-learn developersUsed for building and validating supervised learning pipelines, feature preprocessing, and model evaluation in Python-based analytics workflows.
-
XGBoost XGBoost developersUsed for high-performing gradient-boosted tree models on structured business data, especially when accuracy and feature interaction handling matter.
-
TensorFlow GoogleUsed for deep learning model development and deployment workflows when teams need scalable training and production integration.
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MLflow LF AI & Data FoundationUsed to track experiments, manage model versions, and support reproducible model deployment and monitoring.
-
Apache Airflow Apache Software FoundationUsed to orchestrate data pipelines, scheduled retraining jobs, and repeatable production workflows.
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Kubernetes Cloud Native Computing FoundationUsed to package and scale model-serving services and manage production ML infrastructure.
Where this course runs
Advanced Machine Learning and Predictive Modelling Training is delivered in the cities below — pick the one that fits your schedule.
