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 Mexico
From your market
Real tools and case studies from Mexico — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
4-
scikit-learn scikit-learn developersUsed for classical machine learning workflows such as preprocessing, model selection, cross-validation, and baseline predictive models.
-
XGBoost XGBoost DevelopersUsed for high-performing gradient-boosted tree models in tabular prediction problems.
-
TensorFlow GoogleUsed for building and training neural-network models, especially when teams need scalable deep-learning workflows.
-
MLflow LF AI & Data FoundationUsed to track experiments, compare model runs, and manage reproducible model development.
Where this course runs
Advanced Machine Learning and Predictive Modelling Training is delivered in the cities below — pick the one that fits your schedule.
