Meet Your Instructor:
George Hantzaras is a cloud expert and a hands-on engineering leader with focus on delivering cloud services at scale. He is a Director of Engineering at MongoDB, focusing on implementing cloud native technologies at enterprise scale. He is also a Managing Partner at Algorythm, a boutique innovation and startup consulting firm, and has led large scale transformation projects for enterprise and government customers, focusing on cloud transformation and cybersecurity. He has been a speaker at global events, most recently speaking at Kubecon, Open Source Summit, Hashiconf, LeadDev, DeveloperWeek, and more, focusing on agile leadership, scaling engineering teams, and entrepreneurship.
Why Attend This Workshop?
Platform engineering is rapidly emerging as the backbone of modern software delivery. With AI reshaping how we build, operate, and scale platforms, engineering teams must evolve to stay ahead.
This workshop provides a practical, hands-on deep dive into AI-driven platform engineering — from laying down the foundations to building intelligent self-service systems, knowledge-infused portals, and AI-enhanced observability. Participants will walk away with actionable frameworks, patterns, and a personalized roadmap to implement in their organizations.
Whether you’re building a new platform from scratch or scaling an existing one, this workshop will equip you with the skills, tools, and insights to design smarter, faster, and more sustainable developer experiences.
Who Should Attend
This workshop is ideal for:
- Platform Engineers and Cloud Engineers building internal developer platforms.
- DevOps Engineers and SREs seeking AI-driven automation and observability.
- Architects and Tech Leads designing scalable and intelligent platforms.
- Engineering Leaders who want to align platforms with business needs and developer productivity.
Why This Workshop Now
- Developer demands are growing: Tools alone don’t guarantee productivity—platforms must be designed for usability
- AI has matured: With LLMs and model-context protocols, it’s now practical to embed intelligence directly into platforms
- Platform debt is real: Understanding how to evolve your IDP without constant re-platforming is key to long-term success