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Duration 7 hours
Course Outline
Introduction to AI Agents and OpenAI APIs
- Defining what an AI agent is and distinguishing it from standard chatbots.
- Exploring common business use cases for assistant and workflow agents.
- Understanding core concepts of the OpenAI API, including request and response structures.
- Planning a basic agent workflow to address specific business needs.
Setting Up the Development Environment
- Configuring API access, obtaining credentials, and setting up the local environment.
- Selecting Python or JavaScript for your implementation needs.
- Making an initial API call and interpreting the results.
- Understanding essential request parameters and structured output formats.
Prompt Engineering and Instruction Design
- Crafting clear instructions to guide agent behavior.
- Structuring prompts to ensure reliable and valuable responses.
- Incorporating examples, constraints, and specific output formats.
- Avoiding frequent pitfalls in prompt design.
Tool Integration and Multi-Step Workflows
- Overview of tool usage and function calling mechanisms.
- Defining simple tools for business operations and data retrieval.
- Transmitting structured data between the model and external tools.
- Orchestrating a fundamental multi-step agent workflow.
Handling Context, Reliability, and Security
- Managing multi-turn conversations and session state.
- Ensuring responses remain focused, consistent, and aligned with objectives.
- Implementing basic guardrails, moderation, and error fallback strategies.
- Monitoring token consumption, costs, and identifying common failure points.
Constructing and Evaluating a Simple Business Agent
- Developing a complete end-to-end agent for a realistic business scenario.
- Integrating prompts, tools, and workflow logic.
- Testing the agent with sample inputs and refining its design.
- Reviewing key learnings and outlining next steps for production deployment.
Requirements
- Understanding of fundamental API concepts and JSON data structures.
- Proficiency in Python or JavaScript for basic scripting tasks.
- Foundational programming experience.
Audience
- Developers looking to construct practical AI assistants and workflow automation agents.
- Technical product teams investigating applications powered by OpenAI.
- Solution architects and innovation groups assessing potential agent use cases.
