Develop autonomous AI agents that can perceive, plan, and act independently in complex environments.
Register NowBuild agents that can operate independently with minimal supervision
Design systems where multiple agents collaborate and compete
Implement advanced planning and reasoning capabilities
Develop practical agent applications you can showcase
By the end of this workshop, you will be able to:
Core concepts and theoretical foundations
Reactive, deliberative, and hybrid designs
Processing environmental inputs and sensor data
Designing effective action spaces and execution
Goal-directed behavior and decision making
Coordination, competition, and emergent behavior
Self-improving agents through reinforcement learning
Safety, ethics, and real-world constraints
Autonomous agents that gather, analyze, and synthesize information from multiple sources to answer complex queries.
Agents that can complete multi-step workflows by interacting with various software systems and APIs.
Multi-agent systems where specialized agents work together to solve problems beyond individual capabilities.
Agents that improve their performance over time through experience and reinforcement learning.
Work with cutting-edge agent development frameworks like AutoGen and LangGraph
Learn proven design patterns for building robust agent systems
Implement safeguards and oversight mechanisms for autonomous agents
Design systems where agents collaborate or compete to achieve goals
Measure and optimize agent effectiveness in real-world scenarios
Earn a recognized certificate upon completion
Join our intensive 2-day workshop and gain practical skills at the forefront of AI development.
Register Now