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Course Outline
Introduction to Generative AI
- Defining generative AI
- Overview of generative models (GANs, VAEs, etc.)
- Applications and case studies
The Need for Synthetic Data
- Limitations of real data
- Privacy and security concerns
- Enhancing AI model robustness
Generating Synthetic Data
- Techniques for synthetic data generation
- Ensuring data quality and diversity
- Practical workshop: Creating your first synthetic dataset
Evaluating Synthetic Data
- Metrics for assessing synthetic data quality
- Comparing synthetic vs. real data performance
- Case study analysis
Ethical and Legal Aspects
- Navigating the ethical landscape
- Legal frameworks and compliance
- Balancing innovation with responsibility
Advanced Topics in Data Synthesis
- Synthetic data for unsupervised learning
- Cross-domain data synthesis
- Future trends in generative AI
Capstone Project
- Applying knowledge to real-world scenarios
- Developing a synthetic data strategy
- Assessment and feedback
Summary and Next Steps
Requirements
- An understanding of basic machine learning concepts
- Experience with Python programming
- Familiarity with data science workflows
Audience
- Data scientists
- AI practitioners
21 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £5700 online delivery, based on a group of 2 delegates, £1800 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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