Training on Building Custom GPTs and AI Agents

Module 1: Introduction to Custom GPTs and AI Agents

• Understanding custom GPTs and AI agents
• Agent architecture: components and workflows
• Key platforms and tools: OpenAI GPTs, LangChain, AutoGPT
• Use cases for custom agents across industries
• Advantages and limitations of custom agents
• Case Study: Analyzing custom agent applications

Module 2: Building Custom GPTs: Configuration and Customization

• Configuring custom GPTs: instructions, knowledge, and actions
• Adding custom knowledge bases and data sources
• Integrating with third-party APIs and services
• Designing agent personas and interaction styles
• Testing and refining custom GPTs
• Case Study: Building a custom GPT for a business function

Module 3: Developing AI Agents: Workflow and Automation

• Designing agent workflows for complex tasks
• Implementing multi-step agent processes
• Integrating AI agents with existing systems
• Managing agent state and context
• Scaling and optimizing agent performance
• Case Study: Developing an automation agent

Module 4: Advanced Agent Development Topics

• Multi-agent systems and collaboration
• Memory and learning in AI agents
• Decision-making and reasoning in agents
• Safety, security, and governance of AI agents
• Evaluating and monitoring agent performance
• Case Study: Building a multi-agent system

Module 5: Deploying and Managing Custom Agents

• Agent deployment strategies and platforms
• Monitoring and maintaining agent performance
• User interaction and feedback integration
• Managing agent iterations and updates
• Scaling custom agents across the organization
• Case Study: Deploying and managing a custom AI agent

Module 6: Agent Memory and State Management

• Understanding memory in AI agents
• Short-term and long-term memory for agents
• Managing state across conversations and sessions
• Implementing memory retrieval and summarization
• Optimizing memory for performance and cost
• Case Study: Implementing memory in an AI agent

Module 7: Agent Tool Use and Function Calling

• Enabling tool use in AI agents
• Function calling and API integration
• Building custom tools for agents
• Managing tool execution and error handling
• Advanced tool-use patterns and workflows
• Case Study: Building an agent with tool capabilities

Module 8: Building Autonomous Agents and Swarms

• Introduction to autonomous agents
• Agent swarms and collaborative workflows
• Task decomposition and delegation in agents
• Managing agent coordination and communication
• Applications of autonomous agent systems
• Case Study: Building an autonomous agent swarm

Module 9: Evaluating and Monitoring Agent Performance

• Defining metrics for agent success
• Evaluating agent quality and accuracy
• Monitoring agent performance in production
• Continuous improvement of agents
• Managing agent feedback loops
• Case Study: Building an agent evaluation framework

Module 10: Advanced AI Agent Architectures and Future Trends

• Reflection and self-correction in agents
• Multi-modal agents and cross-domain reasoning
• Agent safety and alignment research
• Emerging trends and future directions
• Building secure and ethical agent systems
• Case Study: Exploring an advanced AI agent architecture