Problem: Today many enterprises are experiencing suboptimal results and high costs with large general purpose models.

Since 2023 we've been underscoring that the future of AI for business is based on small open source models fine-tuned with high quality data. While the DeepSeek R1 moment proved that open source solutions can deliver powerful GenAI at low cost, it's critical to upgrade the data your models use for inference to move to the next level.

Solution: With our course, dive into the current trend of smaller, open source models tuned to your business. By using high quality, domain specific datasets, the right training methods, and your own algorithms, you can build custom GenAI models that are better, faster, and cheaper to operate.

We’ll guide you through a proven process we’ve honed over the last few years. Our team’s practical experience in deploying custom GenAI models in high performance use cases has resulted in big cost savings vs general purpose models, much lower inference latency, and exemplary results on company specific KPIs.

We’ve got you covered: We’ll take you from AI basics to the latest techniques and use cases to implementing the best training methods (like Reinforcement Learning from Human Feedback, RLHF) as well as deploying agentic AI frameworks. You’ll leverage our extensive expertise to gain valuable know-how, frameworks, and strategies to take your business to the next level.

Future proof your understanding: Get ahead with the latest advances, like RAG, fine-tuning, agents, and responsible development. Get hands-on experience in a guided workshop with both tech and non-tech tracks focused on a project of your choice.

The Results: Upon completing the course you'll understand how to design and build custom GenAI models tailored for greater efficiency, accuracy, safety, privacy, security, and compliance. A perfect fit with your business objectives.