Generative AI and Agentic AI Training in Kuala Lumpur, Malaysia

This course provides a deep understanding of Generative AI and Agentic AI, exploring their foundations, design principles, architectures, and real-world applications. It combines theory with practical hands-on training to help participants develop, deploy, and govern AI systems that can generate new content and act autonomously to achieve goals in enterprise and domain-specific contexts.

Foundations of Generative AI

1. Introduction to Generative AI

   • Evolution, techniques, and key models (LLMs, GANs, Diffusion)

2. Generative AI Use Cases across industries

3. Hands-on: Prompt Engineering and Fine-Tuning LLMs

4. Introduction to Multi-Modal Generative Models (Text, Image, Speech, Video)

5. Ethics, Bias, and Responsible AI in Generative Systems

Fundamentals of Agentic AI

1. What is Agentic AI? – Moving from Generative to Agentic systems

2. Core Architectures: Reasoning, Planning, Memory, and Actions

3. Key Frameworks: LangChain, AutoGen, Haystack Agents

4. Designing AI Agents for Task Automation and Decision-Making

Integration of Generative and Agentic AI

1. Orchestrating Generative Models within Agentic Workflows

2. Advanced Prompt Orchestration and Chaining Techniques

3. Case Studies

4. Security, Compliance, and Risk in Agentic AI

Applied Project and Future Trends

1. AI Governance and Enterprise Integration Strategies

2. Future of Generative and Agentic AI – Multi-Agent Systems, Autonomous Enterprises, and Beyond

Hands-on Exercises

Summary and Conclusion