Uploaded September 2025 | Updated September 2026, 2 weeks ago
Adopting GenAI isn’t just about accessing LLMs - it’s about building scalable, reliable, and production-ready applications. This session introduces FloTorch, a framework that streamlines development with built-in evaluation, observability, and guardrails across providers.
What you’ll learn in this session:
- Key challenges in deploying GenAI at scale
- How FloTorch enables interoperability across providers
- Building evaluation pipelines to measure model quality & performance
- Adding observability and guardrails for safe, reliable outputs
- Strategies for scaling from prototype to production
- Real-world business applications powered by FloTorch
- Live demo: Building a scalable GenAI app with monitoring & safety checks
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⏱️ Table of Contents
00:00 – Welcome & Introductions
01:00 – GenAI Landscape & Adoption Challenges
05:30 – Stakeholder Perspectives
10:00 – Getting Started with FloTorch
13:00 – SDK vs. Traditional Approach
16:00 – Architecture & Built-in Features
21:00 – Caching & Routing Strategies
25:00 – Observability & Evaluation
31:00 – Cost Tracking & Guardrails
39:00 – Scaling GenAI Apps
45:00 – Live Demo + Q&A
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👉 Learn more about Data Science Dojo:
datasciencedojo.com
👉 Explore video tutorials:
datasciencedojo.com/tutorials
👉 See community feedback and success stories:
https://datasciencedojo.com/data-scie...
At Data Science Dojo, we believe data science is for everyone. Our in-person and virtual training programs have helped 10,000+ professionals from 2,500+ companies — including Microsoft, Apple, and Meta — apply AI responsibly and effectively.
🔗 Subscribe to our newsletter for more AI tutorials and events:
datasciencedojo.com/newsletter
Adopting GenAI isn’t just about accessing LLMs - it’s about building scalable, reliable, and production-ready applications. This session introduces FloTorch, a framework that streamlines development with built-in evaluation, observability, and guardrails across providers.
What you’ll learn in this session:
- Key challenges in deploying GenAI at scale
- How FloTorch enables interoperability across providers
- Building evaluation pipelines to measure model quality & performance
- Adding observability and guardrails for safe, reliable outputs
- Strategies for scaling from prototype to production
- Real-world business applications powered by FloTorch
- Live demo: Building a scalable GenAI app with monitoring & safety checks
---------
⏱️ Table of Contents
00:00 – Welcome & Introductions
01:00 – GenAI Landscape & Adoption Challenges
05:30 – Stakeholder Perspectives
10:00 – Getting Started with FloTorch
13:00 – SDK vs. Traditional Approach
16:00 – Architecture & Built-in Features
21:00 – Caching & Routing Strategies
25:00 – Observability & Evaluation
31:00 – Cost Tracking & Guardrails
39:00 – Scaling GenAI Apps
45:00 – Live Demo + Q&A
---------
👉 Learn more about Data Science Dojo:
datasciencedojo.com
👉 Explore video tutorials:
datasciencedojo.com/tutorials
👉 See community feedback and success stories:
https://datasciencedojo.com/data-scie...
At Data Science Dojo, we believe data science is for everyone. Our in-person and virtual training programs have helped 10,000+ professionals from 2,500+ companies — including Microsoft, Apple, and Meta — apply AI responsibly and effectively.
🔗 Subscribe to our newsletter for more AI tutorials and events:
datasciencedojo.com/newsletter










