Building AI Agents with OpenAI APIs Training Course

Foundations of AI Agents and OpenAI APIs

• Defining an AI agent and distinguishing it from a basic chatbot.
• Exploring common business use cases for assistants and workflow agents.
• Reviewing core OpenAI API concepts, including request and response structures.
• Planning a simple agent workflow to address a specific business task.

Getting Started with the Development Environment

• Configuring API access, managing credentials, and setting up the local environment.
• Selecting Python or JavaScript as the implementation language.
• Executing an initial API request and analyzing the returned results.
• Comprehending basic request parameters and structured output formats.

Prompting and Instruction Design

• Crafting clear instructions to define agent behavior.
• Structuring prompts to ensure reliable and useful responses.
• Incorporating examples, constraints, and specific output formats.
• Identifying and avoiding common pitfalls in prompt design.

Tool Use and Multi-Step Workflows

• Introduction to tool usage and function calling patterns.
• Defining simple tools for business tasks and data retrieval.
• Facilitating the exchange of structured data between the model and external tools.
• Orchestrating a basic multi-step agent workflow.

Managing Context, Reliability, and Safety

• Handling multi-turn conversations and maintaining session state.
• Ensuring responses remain focused, consistent, and aligned with the task.
• Implementing basic guardrails, moderation strategies, and fallback mechanisms.
• Monitoring token usage, managing costs, and identifying common failure points.

Building and Reviewing a Simple Business Agent

• Developing a small, end-to-end agent for a realistic business scenario.
• Integrating prompts, tools, and workflow logic into a cohesive system.
• Testing the agent with sample cases and iterating on the design.
• Summarizing key lessons and outlining next steps for production deployment.