About the Course:
Agentic AI represents the next evolution in artificial intelligence: AI systems that proactively pursue goals, make decisions, and interact with humans and other agents autonomously. In this hands-on course, participants will explore the foundations of agentic AI, including cognitive architectures, decision-making frameworks, and the design of human-agent collaboration. Participants will build functional AI agents using real-world tools and test them in simulated environments.
Course Objective:
- Define agentic AI and its role in modern applications
- Explore the architecture of autonomous AI agents
- Learn how to give AI agents goals, memory, and decision-making capabilities
- Examine ethical considerations and best practices in agentic AI design
Who is the Target Audience?
- AI enthusiasts, software developers, product managers, innovation leaders, and anyone curious about how to build practical AI agents for work or learning.
Basic Knowledge:
- Basic understanding of programming (preferably Python), familiarity with AI/ML concepts, and an interest in automation and system design.
Curriculum
Total Duration: 1 Hours 30 Minutes
Introduction to Agentic AI
Agent Architectures and Capabilities (Memory, Planning, Tools)
Building Your First AI Agent with Open Source Tools
Collaboration and Communication Between Agents
Deploying and Managing Agents in Real-World Contexts
Ethics, Safety, and Human Oversight in Agentic Systems