Course Outline

Introduction and Environment Setup

  • What is AutoML and why it matters
  • Setting up Python and R environments
  • Configuring remote desktop and cloud environments

Exploring AutoML Features

  • Core capabilities of AutoML frameworks
  • Hyperparameter optimization and search strategies
  • Interpreting AutoML outputs and logs

How AutoML Selects Algorithms

  • Gradient Boosting Machines (GBMs), Random Forests, GLMs
  • Neural networks and deep learning backends
  • Trade-offs: accuracy vs. interpretability vs. cost

Data Preparation and Preprocessing

  • Working with numeric and categorical data
  • Feature engineering and encoding strategies
  • Handling missing values and data imbalance

AutoML for Different Data Types

  • Tabular data (H2O AutoML, auto-sklearn, TPOT)
  • Time-series data (forecasting and sequential modeling)
  • Text and NLP tasks (classification, sentiment analysis)
  • Image classification and computer vision (Auto-Keras, TensorFlow, PyTorch)

Model Deployment and Monitoring

  • Exporting and deploying AutoML models
  • Building pipelines for real-time prediction
  • Monitoring model drift and retraining strategies

Ensembling and Advanced Topics

  • Stacking and blending AutoML models
  • Privacy and compliance considerations
  • Cost optimization for large-scale AutoML

Troubleshooting and Case Studies

  • Common errors and how to fix them
  • Interpreting AutoML model performance
  • Case studies from industry use cases

Summary and Next Steps

Requirements

  • Experience with machine learning algorithms
  • Python or R programming experience

Audience

  • Data analysts
  • Data scientists
  • Data engineers
  • Developers
 14 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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