Jana Bergant is a software engineer and AI engineer with over 27 years of experience in software development. She currently builds agentic AI solutions professionally as a Solutions Architect at PyMC Labs, where she develops GenAI products, including the AI MMM Agent and AI Innovation Lab. At Possible Worlds, she builds AI agents that simulate market scenarios and automate research workflows for market research clients.

Her expertise spans both proprietary and open source LLMs and agentic frameworks, including LangChain, LangGraph, CrewAI, AutoGen, Claude Agent SDK, OpenClaw, Hermes Agent, and OpenJarvis. She has hands-on experience with synthetic data generation, fine-tuning, RAG pipelines, and building production agentic systems. She works daily with the tools and frameworks she teaches.

With 41,000+ students and 7,000+ reviews on Udemy, Jana combines deep technical expertise with a proven ability to make complex topics accessible. Her mission is to bridge cutting-edge AI technologies with practical, hands-on education, enabling anyone to build AI systems that work for them.

She will help you learn how to:

- Build personal AI assistants and AI employees using open source frameworks

- Navigate the landscape of agentic AI and pick the right tools for your needs

- Deploy AI agents that handle real work: email, research, content, automation

- Make informed decisions about security, privacy, and cost

- Go from idea to working AI assistant on your own infrastructure

"AI agents are no longer a developer curiosity. They are becoming essential tools for anyone who wants to work smarter. I want to help everyone get there." — Jana Bergant