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Sinan Ozdemir

Sinan Ozdemir is the head of AI Education at Fireworks AI. He is a Y Combinator alum, AI & LLM Advisor at Tola Capital, and the author of multiple books on data science and machine learning, including Building Agentic AI, Quick Start Guide to LLMs, and Principles of Data Science. Sinan is a former lecturer of data science at Johns Hopkins University and the founder of Kylie.ai, an enterprise-grade conversational AI platform (acquired 2014). He holds a master’s degree in pure mathematics from Johns Hopkins University and is based in San Francisco, California.

Introduction to Transformer Models for NLP, 2nd Edition (Video Course), 2nd Edition
Building Agentic AI From Workflows to Production (Video Course)
Reinforcement Learning for LLM Alignment and Reasoning (Video Course)
Modern AI Agents: Building Practical Single- and Multi-Agent Systems with MCP and LLMs (Video Course), 2nd Edition
Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment
Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment
Modern Applications of AI (Video Collection)
Introduction to Large Language Models (LLMs) and Prompt Engineering (Video Course), 2nd Edition
Multimodal AI Essentials: Merging Text, Image, and Audio for Next-Generation AI Applications (Video Course)
Evaluating Large Language Models (LLMs) (Video Course)
Modern Automated AI Agents: Building Agentic AI to Perform Complex Tasks (Video Course)
Practical Retrieval Augmented Generation (RAG) (Video Course)
Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI, 2nd Edition
Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI, 2nd Edition
Quick Start Guide to Large Language Models (LLMs): ChatGPT, Llama, Embeddings, Fine-Tuning, and Multimodal AI (Video Course), 2nd Edition
Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs): (Video Course)
Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs
Introduction to Transformer Models for NLP: Using BERT, GPT, and More to Solve Modern Natural Language Processing Tasks (Video Training)