Design Patterns for Agentic AI

Overview

Explore design patterns for agentic AI during this informative session, focusing on cloud native computing applications and advancements in the field. Ideal for enthusiasts of AI and computer science courses.

Available on YouTube.

Syllabus

• Introduction to Agentic AI
Overview of Agentic AI
Importance and applications in cloud-native computing
Key objectives of the course
• Fundamental Concepts
Definition and characteristics of intelligent agents
Basic AI concepts relevant to agentic systems
Review of current technological advancements
• Design Patterns for Agentic AI
Introduction to design patterns
Types of design patterns applicable to AI agents
Importance of design patterns in AI development
• Cloud Native Computing and Agentic AI
Basics of cloud-native architecture
Integration of agentic AI with cloud-native applications
Case studies of cloud-native agentic AI applications
• Common Design Patterns in Agentic AI
Pattern 1: Reactive Patterns
Pattern 2: Proactive Patterns
Pattern 3: Hybrid Patterns
• Implementation and Scalability
Implementing agentic AI on cloud platforms
Ensuring scalability and robustness
Tools and frameworks for developing agentic AI
• Practical Applications and Examples
Real-world applications of agentic AI
Industry case studies and success stories
• Challenges and Ethics in Agentic AI
Ethical considerations and societal impacts
Security concerns and data privacy
Overcoming common implementation challenges
• Conclusion
Summary of key learnings
Future trends in agentic AI and cloud-native technologies
• Q&A Session
Addressing participant questions and discussions

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Subjects

Computer Science