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Duration 7 hours
Course Outline
Foundations of AI Agents and OpenAI APIs
- Defining an AI agent and distinguishing it from basic chatbots.
- Common business use cases for assistants and workflow agents.
- Core concepts of OpenAI API, including requests and responses.
- Planning a simple agent workflow for a specific business task.
Getting Started with the Development Environment
- Preparing API access, credentials, and local setup.
- Selecting between Python or JavaScript for implementation.
- Executing an initial API request and reviewing the outcome.
- Understanding basic request parameters and structured output formats.
Prompting and Instruction Design
- Writing clear instructions to guide agent behavior.
- Structuring prompts for reliable and useful responses.
- Incorporating examples, constraints, and specific output formats.
- 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 lookup.
- Passing structured data between the model and tools.
- Orchestrating a basic multi-step agent workflow.
Managing Context, Reliability, and Safety
- Handling multi-turn conversations and session state.
- Ensuring responses remain focused, consistent, and task-oriented.
- Applying basic guardrails, moderation, and fallback handling mechanisms.
- Monitoring token usage, costs, and common failure points.
Building and Reviewing a Simple Business Agent
- Creating a small end-to-end agent for a realistic business scenario.
- Connecting prompts, tools, and workflow logic.
- Testing the agent with sample cases and refining the design.
- Summarizing key lessons and next steps for production planning.
Requirements
- Familiarity with fundamental API concepts and JSON data structures.
- Experience using Python or JavaScript for basic scripting tasks.
- Basic programming proficiency.
Audience
- Developers aiming to create practical AI assistants and workflow automation agents.
- Technical product teams investigating OpenAI-powered applications.
- Solution architects and innovation teams assessing agent use cases.
