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Course Outline

Introduction to Predictive Analytics

  • Overview of predictive analytics.
  • The role of LLMs in predictive modelling.
  • Case studies of successful predictive analytics projects.

Fundamentals of Large Language Models

  • Understanding LLM architecture.
  • Training and fine-tuning LLMs.
  • Comparing LLMs with traditional statistical models.

Data Preparation and Processing

  • Data collection and cleaning.
  • Feature engineering for predictive modelling.
  • Utilising LLMs for data enrichment.

Building Predictive Models with LLMs

  • Selecting the appropriate LLM for your data.
  • Training LLMs for predictive tasks.
  • Evaluating model performance.

Advanced Techniques in Predictive Analytics

  • Time series forecasting with LLMs.
  • Sentiment analysis for market prediction.
  • Anomaly detection in large datasets.

Integrating LLMs into Business Processes

  • Deploying LLMs for real-time predictions.
  • Monitoring and maintaining predictive models.
  • Ethical considerations in predictive analytics.

Hands-on Lab: Predictive Analytics Project

  • Defining project objectives.
  • Implementing a predictive model with LLMs.
  • Analying results and iterating on the model.

Summary and Next Steps

Requirements

  • A foundational understanding of machine learning concepts.
  • Proficiency in Python programming.
  • Familiarity with data analysis and visualisation tools.

Target Audience

  • Data scientists.
  • Business analysts.
  • IT professionals seeking to comprehend LLM applications in analytics.
 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 2600 € + VAT*

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