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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 business task
Setting Up the Development Environment
- Preparing API access, credentials, and local setup
- Selecting Python or JavaScript for implementation
- Making an initial API request and reviewing results
- Understanding basic request parameters and structured output
Prompting and Instruction Design
- Writing clear instructions to guide agent behavior
- Structuring prompts for reliable and useful responses
- Utilizing examples, constraints, and output formats
- Avoiding common mistakes in prompt design
Tool Use and Multi-Step Workflows
- Introduction to tool use and function calling patterns
- Defining simple tools for business tasks and data lookup
- Transferring structured data between the model and tools
- Orchestrating a basic multi-step agent workflow
Managing Context, Reliability, and Safety
- Working with multi-turn conversations and session state
- Maintaining focused, consistent, and task-oriented responses
- Implementing basic guardrails, moderation, and fallback handling
- 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 learnings and outlining next steps for production planning
Requirements
- Familiarity with fundamental API concepts and JSON data structures
- Experience in Python or JavaScript for basic scripting tasks
- Basic programming proficiency
Target Audience
- Developers seeking to create practical AI assistants and workflow automation agents
- Technical product teams exploring applications powered by OpenAI
- Solution architects and innovation teams evaluating agent use cases
