Course Outline

Introduction to Continual Learning

  • Why continual learning matters
  • Challenges in maintaining fine-tuned models
  • Key strategies and learning types (online, incremental, transfer)

Data Handling and Streaming Pipelines

  • Managing evolving datasets
  • Online learning with mini-batches and streaming APIs
  • Data labeling and annotation challenges over time

Preventing Catastrophic Forgetting

  • Elastic Weight Consolidation (EWC)
  • Replay methods and rehearsal strategies
  • Regularization and memory-augmented networks

Model Drift and Monitoring

  • Detecting data and concept drift
  • Metrics for model health and performance decay
  • Triggering automated model updates

Automation in Model Updating

  • Automated retraining and scheduling strategies
  • Integration with CI/CD and MLOps workflows
  • Managing update frequency and rollback plans

Continual Learning Frameworks and Tools

  • Overview of Avalanche, Hugging Face Datasets, and TorchReplay
  • Platform support for continual learning (e.g., MLflow, Kubeflow)
  • Scalability and deployment considerations

Real-World Use Cases and Architectures

  • Customer behavior prediction with evolving patterns
  • Industrial machine monitoring with incremental improvements
  • Fraud detection systems under changing threat models

Summary and Next Steps

Requirements

  • An understanding of machine learning workflows and neural network architectures
  • Experience with model fine-tuning and deployment pipelines
  • Familiarity with data versioning and model lifecycle management

Audience

  • AI maintenance engineers
  • MLOps engineers
  • Machine learning practitioners responsible for model lifecycle continuity
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

Contact us for an exact quote and to hear our latest promotions

(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)

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Upcoming Courses

Continual Learning and Model Update Strategies for Fine-Tuned Models

2026-01-19 09:30
14 hours
Valencian Community

Continual Learning and Model Update Strategies for Fine-Tuned Models

2026-02-02 09:30
14 hours
Bilbao

Continual Learning and Model Update Strategies for Fine-Tuned Models

2026-02-16 09:30
14 hours
Madrid - Chamartín Business Area

Continual Learning and Model Update Strategies for Fine-Tuned Models

2026-03-02 09:30
14 hours
Malaga City Center

Continual Learning and Model Update Strategies for Fine-Tuned Models

2026-03-16 09:30
14 hours
Barcelona City

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