Get in Touch
 Duration 21 hours

Course Outline

Introduction to Generative AI

  • Defining the scope of generative AI
  • Review of generative models (e.g., GANs, VAEs)
  • Relevant applications and case studies

The Necessity of Synthetic Data

  • Constraints associated with real data
  • Privacy and security considerations
  • Improving AI model robustness

Generation of Synthetic Data

  • Methods for generating synthetic data
  • Maintaining data quality and diversity
  • Practical workshop: Building your first synthetic dataset

Evaluation of Synthetic Data

  • Metrics for judging synthetic data quality
  • Comparing performance between synthetic and real data
  • In-depth case study analysis

Ethical and Legal Dimensions

  • Understanding the ethical framework
  • Legal regulations and compliance requirements
  • Striking a balance between innovation and responsibility

Advanced Concepts in Data Synthesis

  • Synthetic data for unsupervised learning tasks
  • Cross-domain data synthesis techniques
  • Emerging trends in generative AI

Capstone Project

  • Applying concepts to practical real-world scenarios
  • Formulating a synthetic data strategy
  • Project assessment and feedback

Summary and Future Directions

Requirements

  • A solid grasp of fundamental machine learning concepts
  • Proficiency in Python programming
  • Familiarity with standard data science workflows

Target Audience

  • Data scientists
  • AI practitioners

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 4350 € + VAT*

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

Testimonials (4)

Upcoming Courses

Related Categories