OpenAI Agent Builder provides a low-code/no-code environment for rapidly creating AI agents, while still supporting more advanced customization when needed. This course teaches developers how to design, configure, and deploy intelligent AI agents using OpenAI Agent Builder. Participants will learn how to define agent behavior, integrate tools, manage context, and build multi-step workflows within the Agent Builder environment. Participants will understand the importance of session management and persistence as it relates to maintaining context and continuity across interactions when building real-world agents.
Prerequisites:
To get the most out of this session, participants should have:
- Basic Python programming experience
- Familiarity with APIs and JSON
- Basic understanding of LLM concepts
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NOTE: Pluralsight requires each participant to have access to the Generative AI tool(s) used in this course. Where Customer does not provide that access, Pluralsight will provide it and AI lab fees will apply.
Purpose
| Design, configure, and deploy intelligent AI agents using OpenAI Agent Builder |
Audience
| It professionals wanting to learn a low code/no code tool for rapidly creating AI agents |
Role
| Software Developers |Â Technical Product Managers |Â Solutions Engineers
|
Skill level
| Intermediate |
Style
| Lecture | Hands-on Activities | Labs |
Duration
| 2 days |
Related technologies
| AI/ML | Generative AI | Python |
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Learning Objectives
- Build and configure agents using OpenAI Agent Builder
- Integrate external APIs and tools into workflows
- Manage conversation context within agents
- Implement session management and persistence strategies
- Apply guardrails and safety constraints
- Evaluate and improve agent performance