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Duration 7 hours
Course Outline
Foundations of AI Agents and OpenAI APIs
- Understanding what an AI agent is and how it differs from a standard chatbot.
- Common business use cases for assistants and workflow agents.
- Core OpenAI API concepts, including requests and responses.
- Planning a simple agent workflow for a specific business task.
Setting Up the Development Environment
- Preparing API access, credentials, and local setup.
- Selecting Python or JavaScript for implementation.
- Executing a first API request and reviewing the output.
- Gaining an understanding of basic request parameters and structured output.
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 mistakes in prompt design.
Tool Integration and Multi-Step Workflows
- Introduction to tool use and function calling patterns.
- Defining simple tools for business tasks and data retrieval.
- Transmitting 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 management.
- Ensuring responses remain focused, consistent, and task-oriented.
- Implementing basic guardrails, moderation, and fallback mechanisms.
- Monitoring token usage, costs, and common failure points.
Constructing and Reviewing a Simple Business Agent
- Building 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 its design.
- Summarizing key lessons learned and outlining next steps for production planning.
Requirements
- Familiarity with fundamental API concepts and JSON data structures.
- Experience using Python or JavaScript for simple scripting tasks.
- Basic programming proficiency.
Audience
- Developers looking to create practical AI assistants and workflow agents.
- Technical product teams exploring applications powered by OpenAI.
- Solution architects and innovation teams assessing agent use cases.
