This is the repository for the LinkedIn Learning course Hands-On Synthetic Data for AI Innovation. The full course is available from LinkedIn Learning.
Learn how to generate, evaluate, and apply synthetic data using advanced generative models and aligning with business objectives, to accelerate innovation, reduce costs, and ensure compliance.
- Explain what is synthetic data and how it enables access, scale, experimentation, privacy and AI innovation.
- Recognize the different types of synthetic data, their benefits, methods of generation and applications.
- Select the optimal synthetic data strategy based on business objectives, data modality, operational constraints, and model performance goals.
- Build and evaluate a synthetic data generation pipeline using modern AI tooling and quality metrics.
- Leverage synthetic data for LLMs and agentic AI, including data generation for fine-tuning, task specialization, and continuous improvement.
See the readme file in the main branch for updated instructions and information.
The main repository includes a folder for each video in the course. You can access the 📈 Synthetic Data ROI Framework website through the branch.
Fabiana Clemente & Gonçalo Martins Ribeiro
Fabiana Clemente is an AI Engineer who specializes in synthetic data generation for multimodal solutions, using generative models like LLMs.
Fabiana has spent 10+ years designing and building data systems and AI solutions for both startups and enterprises. She co-founded YData in 2019 to give data teams access to the right data at the right time. Synthetic data followed from that goal — the generation of statistically valid data to build on when real data is off-limits. Furthermore, she also has an extensive footprint in the open-source space as lead and maintainer of ydata-synthetic and ydata-profiling ydata-profiling (formerly pandas-profiling), an open-source library for understanding unique data, which achieved high popularity among data practitioners with 50M+ PyPI downloads, 13K+ GitHub stars. Her research is also published in peer-reviewed journals, from data profiling to synthetic ECG generation. When KPMG acquired YData in 2025, she stayed on as Technical Lead for the Synthetic Data Center of Excellence, where she is responsible for the design and deployment of generative data systems (rule-based, model-driven, and LLM-powered).
Gonçalo builds AI-native products and helps organizations successfully adopt synthetic data, AI, and agents.
As the co-founder and CEO of YData, Gonçalo led the development of the world's leading synthetic data platform, enabling data scientists to create and manage high-quality datasets using generative AI. When KPMG acquired YData, Gonçalo stayed on to lead the creation of the Synthetic Data Center of Excellence, empowering internal and external clients with YData and AI native solutions.
A hands-on builder and open-source contributor, Gonçalo is a core figure behind projects like ydata-profiling and ydata-synthetic. He also serves as the Startup Data Lead at the Center for Responsible AI and mentors emerging founders through Techstars, Plug and Play, and Startup Lisboa. Additionally, he is also a founding member of the Data-Centric AI Community, the most popular community worldwide that promotes the best practices and standards for data-centric AI.