AI Agent Design and Implementation for Client Business Solutions

Master the design, implementation, and integration of AI agents to solve real-world client business problems, covering architecture, core components, and ethical considerations.

Fundamentals of AI Agents for Business

Unit 1: Understanding AI Agents

Unit 2: Agent Architectures and Business Scenarios

Unit 3: Ethical and Security Considerations

Building Core Components of an AI Agent

Unit 1: Perception Module Development

Unit 2: Reasoning and Planning

Unit 3: Action Execution Modules

Enhancing AI Agent Capabilities with LLMs and RAG

Unit 1: Prompt Engineering for AI Agents

Unit 2: Retrieval-Augmented Generation (RAG)

Unit 3: Memory and Context Management

Integrating, Evaluating, and Scaling AI Agent Solutions

Unit 1: Integrating AI Agents

Unit 2: Evaluating AI Agent Performance

Unit 3: Multi-Agent Systems

Unit 4: Security and Ethics