AI Agents That Think, Act & Collaborate
Autonomous, reasoning, and self-improving — AI agents are rapidly evolving from simple assistants into intelligent collaborators that can plan, execute, and learn on their own. But how do these systems actually think, act, and coordinate with humans and each other? And what are the implications for safety, trust, and governance?
In this thought-provoking session, Dr. Amir Feizpour, one of Canada’s leading voices on applied AI systems, will demystify the architecture and inner workings of agentic AI — from reasoning loops and action execution to reinforcement learning and multi-agent collaboration. You’ll gain a clear understanding of how autonomous agents differ from traditional LLMs, what design patterns power them, and what it takes to deploy them responsibly and ethically.
Joining him is Alina Rivilis, Co-Founder and CEO of AI Future Leaders, who will share insights into how these next-generation systems are reshaping education, work, and society — and how we can prepare the next generation to build and govern them wisely.
Key Takeaways
What “agentic AI” really means — and how it extends beyond today’s chatbots.
Core components of AI agents: reasoning, memory, planning, and action.
Real-world applications in education, business, and research.
Ethical frameworks and governance practices for safe deployment.
How to start experimenting with agent frameworks like LangChain, CrewAI, or AutoGen.
Why Attend
Whether you’re an educator, technologist, policymaker, or entrepreneur, this webinar will help you understand the future of autonomous AI — and your role in shaping it. Learn how to leverage these systems responsibly while avoiding the pitfalls of unchecked autonomy.
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