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Duration 7 hours
Course Outline
Foundations of AI Agents and OpenAI APIs
- Defining an AI agent and distinguishing it from a basic 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
Getting Started with the Development Environment
- Setting up API access, credentials, and local environment
- Selecting between Python or JavaScript for implementation
- Making an initial API request and analysing the output
- Understanding basic request parameters and structured outputs
Prompting and Instruction Design
- Writing clear instructions to guide agent behaviour
- Structuring prompts for reliable and useful responses
- Utilising examples, constraints, and specific output formats
- Avoiding common pitfalls 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
- 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
- Maintaining focused, consistent, and on-task 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
- Integrating prompts, tools, and workflow logic
- Testing the agent with sample cases and refining the design
- Summarising key learnings and outlining next steps for production planning
Requirements
- Familiarity with fundamental API concepts and JSON data
- Experience using Python or JavaScript for basic scripting tasks
- Foundational programming knowledge
Audience
- Developers seeking to build practical AI assistants and workflow agents
- Technical product teams investigating OpenAI-powered applications
- Solution architects and innovation teams assessing agent use cases
