AGENTIC AI
COURSE OBJECTIVES Understand foundational concepts of Agentic AI and autonomous systems Learn how to design
COURSE OBJECTIVES
• Understand foundational concepts of Agentic AI and autonomous systems.
• Learn how to design and simulate AI agents with planning and decision-making capabilities.
• Explore popular frameworks like LangChain, CrewAI, AutoGPT for building AI agents.
• Implement agents that use tools, memory, and planning strategies to complete tasks.
• Apply reinforcement learning and continual learning techniques to train adaptive agents.
• Address ethical and safety considerations in autonomous AI systems.
• Build and demonstrate a fully functional agentic system as a capstone project.
MODULES
- Foundations of Agentic AI
- Anatomy of an AI Agent
- Goal Management and Planning
- Multi-Agent Systems and Coordination
- Agent Frameworks and Libraries
- Memory, Tool Use and Environment Interaction
- Reinforcement Learning for Agent Behaviour
- Continual and Self-Supervised Learning
- Agent Alignment, Safety and Bias
- Capstone Project – Build Your Own Agent
LEARNING OUTCOME
Understand the fundamentals of Agentic AI, autonomous systems, and AI agent architectures
Design and develop AI agents with goal-setting, planning, and decision-making capabilities
Explore AI agent frameworks such as LangChain, CrewAI, and AutoGPT
Implement AI agents using memory, tools, and multi-agent coordination techniques
Apply reinforcement learning and continual learning concepts to develop adaptive AI systems
Develop secure, ethical, and functional AI agents through practical projects and real-world applications
CERTIFICATION
Convergence Certification and Skill Development Council (CCSD)