Agentic AI applications

This two-day, hands-on workshop is designed to equip participants with the knowledge and practical skills needed to design, build, and deploy autonomous AI agents. Through a series of interactive exercises and real-world projects, participants will explore core concepts such as agent architecture, memory and context management, tool integration, and goal-directed planning.

Duration:

Two Days

Target Audience:

AI/ML Engineers, Software Developers, Product Managers, Tech Enthusiasts with intermediate Python knowledge.

Learning Objectives:

• Understand the Fundamentals of Autonomous AI Agents
• Gain Familiarity with Popular Agent Frameworks
• Design and Build Functional Autonomous Agents
• Implement Memory and Context Handling in Agents
• Develop Multi-Agent Collaboration Systems
• Apply Goal-Oriented Planning Techniques
• Address Safety, Ethics, and Evaluation
• Build and Present a Real-World Autonomous Agent

Hands-On Activities:

Throughout the workshop, participants will engage in hands-on coding exercises and case studies. This includes:

• Building autonomous agents using frameworks like LangChain and CrewAI, with real-time task execution capabilities
• Integrating tools and memory systems (e.g., APIs, vector databases) to enhance agent reasoning and contextual awareness
• Designing and deploying a functional agent for a real-world use case