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Duration 7 hours
Course Outline
Foundations of AI Agents and OpenAI APIs
- Definition of an AI agent and its distinction from standard chatbots
- Typical business use cases for assistant and workflow agents
- Essential OpenAI API concepts, request structures, and responses
- Planning a simple agent workflow for specific business tasks
Getting Started with the Development Environment
- Setting up API access, credentials, and local configurations
- Selecting Python or JavaScript for implementation
- Making initial API requests and interpreting results
- Understanding basic request parameters and structured output formats
Prompting and Instruction Design
- Drafting clear instructions for agent behavior
- Structuring prompts for consistent and valuable responses
- Incorporating examples, constraints, and specific output formats
- Avoiding common pitfalls in prompt design
Tool Use and Multi-Step Workflows
- Introduction to tool integration 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 potential 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
- Testing the agent with sample cases and refining its design
- Summarizing key takeaways and outlining next steps for production deployment
Requirements
- Knowledge of basic API concepts and JSON data
- Experience with Python or JavaScript for simple scripting
- Foundational programming skills
Audience
- Developers aiming to build practical AI assistants and workflow agents
- Technical product teams exploring OpenAI-driven applications
- Solution architects and innovation teams assessing agent use cases
