This discussion follows Aurimas Griciūnas' professional evolution from MLOps engineering to product leadership. Aurimas shares his approach to teaching technical concepts through hands-on experience and explains why personalized projects lead to better learning outcomes than generic tutorials.

He reflects on his content creation journey and the challenges of maintaining consistency while navigating rapidly changing technology trends. The conversation explores his upcoming AI engineering bootcamp designed specifically for professionals transitioning into AI roles.

Aurimas offers insights into the complexities of AI agents, the MCP framework, and the challenges of cross-agent communication. His practical perspective on building standards and tools in AI engineering provides valuable context for both newcomers and experienced practitioners looking to develop effective solutions in this evolving field.