Build an Agentic App: LangGraph + Cursor + n8n - Part 2/2

Hosted by Amir Feizpour and Mykola Burynok

474 students

What you'll learn

Refine design of your agentic system based on early feedback

Improve your no-code implementation or build by coding

Make your app robust using verification and feedback loops

Why this topic matters

Understanding LLM agentic systems is crucial for founders, engineers, PMs, and ML devs to build adaptive AI-driven products. These systems enable automation, personalization, and dynamic decision-making. Founders gain a competitive edge, engineers design scalable AI apps, PMs manage realistic roadmaps, and ML devs optimize behavior. Mastery ensures innovation, while ignorance risks falling behind.

You'll learn from

Amir Feizpour

Founder @ Aggregate Intellect

Amir Feizpour is the founder, CEO, and Chief Scientist at Aggregate Intellect building a generative business brain for service and science based companies. Amir has built and grown a global community of 5000+ AI practitioners and researchers gathered around topics in AI research, engineering, product development, and responsibility. Prior to this, Amir was an NLP Product Lead at Royal Bank of Canada. Amir held a research position at University of Oxford conducting experiments on quantum computing resulting in high profile publications and patents. Amir holds a PhD in Physics from University of Toronto. Amir also serves the AI ecosystem as an advisor at MaRS Discovery District, works with several startups as fractional chief AI officer, and engages with a wide range of community audiences (business executives to hands-on developers) through training and educational programs. Amir leads Aggregate Intellect’s R&D via several academic collaborations.

Mykola Burynok

Senior Software Engineer @ Kima Inc.

Mykola is a seasoned software engineer and product builder with over 15 years of experience developing mobile apps, developer productivity command-line tools, and full-stack product architectures. Mykola has worked across startups and established companies, always focused on creating tools that are not only functional but intuitive and scalable. These days, Mykola helps turn recruitment and employee experience journey workflows into practical tools—faster and smarter. Fascinated by the intersection of engineering and anthropology, Mykola is now diving deep into agentic architectures and AI-powered productivity systems, exploring how intelligent collaboration between humans and machines can shape the future of work.

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