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 Duration 14 hours

Course Outline

Introduction to Advanced Model Customisation

  • Foundations of fine-tuning and prompt management in Vertex AI
  • Key use cases for model optimisation
  • Practical lab: Configuring the Vertex AI environment

Supervised Fine-Tuning of Gemini Models

  • Curating training datasets for fine-tuning
  • Executing supervised fine-tuning pipelines
  • Practical lab: Fine-tuning a Gemini model instance

Prompt Engineering and Version Control

  • Architecting effective prompts for generative AI systems
  • Implementing version control for reproducibility
  • Practical lab: Developing and validating prompt versions

Evaluation and Benchmarking Strategies

  • Overview of evaluation libraries available in Vertex AI
  • Automation of testing and validation processes
  • Practical lab: Assessing prompts and model outputs

Model Deployment and Monitoring

  • Integrating optimised models into application architectures
  • Monitoring performance metrics and detecting drift
  • Practical lab: Deploying a fine-tuned model

Enterprise AI Optimisation Best Practices

  • Managing scalability and operational costs
  • Addressing ethical considerations and bias mitigation
  • Case study: Enhancing AI applications in production

Future Trends in Fine-Tuning and Prompt Management

  • Evolving trends in Large Language Model (LLM) optimisation
  • Automated prompt adaptation and reinforcement learning techniques
  • Strategic insights for enterprise adoption

Conclusion and Next Steps

Requirements

  • Practical experience with machine learning workflows
  • Proficiency in Python programming
  • Understanding of cloud-based AI platforms

Target Audience

  • AI engineers
  • MLOps practitioners
  • Data scientists

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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