LLMs for Predictive Analytics Training Course

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