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Duration 7 hours
Course Outline
Fundamentals of AI Agents and OpenAI APIs
- Definition of an AI agent and its distinctions from basic chatbots
- Typical business applications for assistants and workflow agents
- Core concepts of the OpenAI API, including request and response structures
- Strategies for planning a simple agent workflow tailored to business tasks
Establishing the Development Environment
- Setting up API access, credentials, and local configuration
- Selecting Python or JavaScript for implementation
- Executing an initial API request and analyzing the outcome
- Understanding basic request parameters and structured output formats
Prompt Engineering and Instruction Design
- Formulating clear instructions to guide agent behavior
- Structuring prompts for consistent and valuable responses
- Incorporating examples, constraints, and specified output formats
- Avoiding common pitfalls in prompt design
Tool Integration and Multi-Step Workflows
- Introduction to tool usage and function calling mechanisms
- 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
- Ensuring responses remain focused, consistent, and task-oriented
- Implementing guardrails, moderation, and fallback handling
- Monitoring token usage, costs, and potential failure points
Developing and Reviewing a Simple Business Agent
- Creating a complete end-to-end agent for a realistic business scenario
- Integrating prompts, tools, and workflow logic
- Testing the agent with sample cases and refining the design
- Summarizing key takeaways 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
Target Audience
- Developers aiming to create functional AI assistants and workflow agents
- Technical product teams investigating OpenAI-driven applications
- Solution architects and innovation teams assessing agent use cases
