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Duration 7 hours
Course Outline
Core Concepts of AI Agents and OpenAI APIs
- Defining what an AI agent is and distinguishing it from a standard chatbot
- Typical business applications for assistants and workflow agents
- Fundamental OpenAI API concepts, request structures, and response handling
- Designing a basic agent workflow for specific business tasks
Setting Up the Development Environment
- Configuring API access, managing credentials, and local environment setup
- Selecting Python or JavaScript as the implementation language
- Executing the initial API request and analyzing the output
- Comprehending basic request parameters and structured output formats
Prompt Engineering and Instruction Design
- Formulating clear directives for agent behavior
- Constructing prompts to ensure reliable and valuable responses
- Incorporating examples, constraints, and specific output formats
- Mitigating common errors in prompt design
Utilizing Tools and Multi-Step Workflows
- Overview of tool usage and function calling patterns
- Defining basic tools for business tasks and data retrieval
- Transferring structured data between the model and external tools
- Coordinating a fundamental multi-step agent workflow
Context Management, Reliability, and Safety
- Handling multi-turn conversations and maintaining session state
- Ensuring responses remain focused, consistent, and relevant to the task
- Implementing basic guardrails, content moderation, and fallback mechanisms
- Tracking token usage, costs, and identifying common failure points
Developing and Evaluating a Basic Business Agent
- Constructing a small, end-to-end agent for a realistic business scenario
- Integrating prompts, tools, and workflow logic
- Testing the agent with sample cases and iteratively improving the design
- Recapping key takeaways and outlining next steps for production deployment
Requirements
- Working knowledge of fundamental API concepts and JSON data structures
- Proficiency in Python or JavaScript for basic scripting tasks
- General programming experience
Target Audience
- Developers seeking to construct functional AI assistants and workflow agents
- Technical product teams investigating OpenAI-integrated applications
- Solution architects and innovation teams assessing agent-based use cases
