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Duration 7 hours
Course Outline
AI Agent and OpenAI API Fundamentals
- Defining AI agents and distinguishing them from standard chatbots
- Identifying common business use cases for assistants and workflow agents
- Exploring core OpenAI API concepts, including requests and responses
- Designing simple agent workflows for specific business tasks
Setting Up the Development Environment
- Configuring API access, credentials, and local environments
- Selecting Python or JavaScript for implementation
- Executing initial API requests and analyzing results
- Understanding basic request parameters and structured outputs
Prompting and Instruction Design
- Formulating clear instructions to guide agent behavior
- Structuring prompts to ensure reliable and useful responses
- Incorporating examples, constraints, and specific output formats
- Avoiding frequent errors in prompt design
Tool Integration and Multi-Step Workflows
- Overview of tool usage and function calling patterns
- Defining simple tools for business tasks and data retrieval
- Exchanging structured data between the model and tools
- Orchestrating basic multi-step agent workflows
Context Management, Reliability, and Safety
- Handling multi-turn conversations and session state
- Maintaining response focus, consistency, and task alignment
- Implementing basic guardrails, moderation, and fallback strategies
- Monitoring token usage, costs, and potential failure points
Development and Review of a Business Agent
- Building a small, end-to-end agent for a realistic business scenario
- Integrating prompts, tools, and workflow logic
- Testing the agent with sample cases and iterating on the design
- Summarizing key takeaways and outlining next steps for production deployment
Requirements
- Knowledge of fundamental API concepts and JSON data structures
- Proficiency in Python or JavaScript for basic scripting
- General programming background
Target Audience
- Developers seeking to build functional AI assistants and workflow agents
- Technical product teams investigating OpenAI-driven applications
- Solution architects and innovation teams assessing agent-based use cases
