
Building Agentic Apps with the OpenAI SDK (SED)
Contact IT Dojo for current pricing, available dates, and a custom quote tailored to your team or organization.
Course Duration
3 Half-Day Sessions (13.5 Hours)
Audience
Employees of federal, state and local governments; and businesses working with the government.
Prerequisites
Basic knowledge of Python, APIs, and LLM principles, and comfort using the terminal. Students need a computer with Python installed. HTTP API experience (Postman or cURL) is helpful, and an OpenAI API key is optional for hands-on work.
Course Description
This hands-on course is a practical introduction to building AI agents with OpenAI's SDK and REST APIs. You will learn how agents differ from chatbots and traditional automation, the core components of an agent (memory, planning, tool use, and feedback), and how to design multi-agent systems with tool handoffs and the Model Context Protocol. Through interactive sessions and real use cases in operations, project management, research, sales, and customer service, you will prototype agents that automate business tasks while applying guardrails, security, private data handling, and production-readiness practices.
Learning Objectives
- Build and deploy agents with OpenAI's SDK and REST APIs
- Design multi-agent systems with orchestration and tool handoffs
- Secure agent interactions and manage access to confidential data
- Integrate external data sources and custom tools into agent workflows
- Apply architecture patterns for memory, planning, and safety
- Prototype agents that automate real business tasks
Course Outline
1. What Are AI Agents?
- What an AI agent is
- How agents differ from chatbots and RPA
- Agentic workflows and autonomy
- Overview of agent frameworks and tools
2. Anatomy of an AI Agent
- Memory, planning, tool use, and feedback
- Agent design best practices
- Multi-agent systems and the Model Context Protocol
- Hands-on: map an agent architecture to a sample workflow
3. Real-World Use Cases and Tools
- Agents in operations, project management, research, sales, and service
- No-code agent builders and OpenAI tool stacks
- Group exercise: choose and justify a tool for a use case
4. Strategy, Piloting, and Ethics
- Prototyping your first agent
- Governance, trust, and feedback loops
- Measuring ROI, value, and readiness
- Hands-on: build and run a simple agent
Frequently Asked Questions
What does the Building Agentic Apps with the OpenAI SDK course cover?
Three half-day sessions. Build AI agents with the OpenAI SDK and REST APIs: tools, memory, multi-agent handoffs, guardrails, and security. IT Dojo delivers it as live instructor-led training for government, DoD, and corporate teams.
How long is IT Dojo's Building Agentic Apps with the OpenAI SDK training?
Course length: 3 Half-Day Sessions (13.5 Hours). It is available as live remote online instruction or as a private session for your team.
Is this course available as live remote online training?
Yes. IT Dojo offers Building Agentic Apps with the OpenAI SDK as live remote online training led by an instructor in real time. Private sessions for your organization can also be scheduled.
Who should attend this course?
Software developers, technical product managers, AI/ML engineers, and professionals familiar with ChatGPT who want to build intelligent tools with agents and integrate them into enterprise systems.
How do I register for this course?
IT Dojo training is employer sponsored. Your organization registers and pays for seats. Contact IT Dojo via the Request Training form or call 757-216-3656 to schedule this course for your team.