Design Patterns for Agentic AI

Overview

Explore design patterns for agentic AI in this informative webinar, focusing on cloud native computing applications and advancements.

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

Subjects

Computer Science