AI BootCamps (7 Courses)
Course Category
Course Category
Google Rating
Professionals Upskilled
Live Cohorts Delivered
Enterprise Teams Trained
In this 4-hour live Creating Agents in ChatGPT program, learn how to build purpose-driven AI agents in ChatGPT that can work with knowledge, conduct research, use tools and complete multi-step business tasks. Through hands-on labs, participants will design, configure, test and refine an agent for a real-world workflow, moving from basic prompting to practical agentic AI.
Build a purpose-built AI agent - Design a specialized ChatGPT agent with clear instructions, goals, behavior and boundaries.
Give your agent knowledge - Add files and trusted information so your agent can work with organization-specific context.
Equip your agent with tools - Use ChatGPT capabilities, apps and external actions to extend what the agent can access and do. GPTs can use either apps or custom actions, not both simultaneously.
Turn research into agentic work - Use Deep Research for multi-step research, source analysis and structured outputs instead of simple web lookups.
Connect agents to business systems - Understand how apps, APIs and MCP-based integrations can bring external data and actions into ChatGPT.
Test and improve agent behaviour - Create realistic test scenarios, review outputs and refine instructions, knowledge and tool usage before deployment.
Agent fundamentals
Lab 1: Create a purpose-built GPT
GPTs can be configured with instructions, conversation starters, knowledge and selected capabilities.
Outcome:
Knowledge
Capabilities and tools
Lab 2: Build a knowledge-powered agent
Outcome:
Agentic research
Deep Research can combine public web information, uploaded files and supported connected apps to produce structured, cited research.
Apps and external actions
Custom GPT actions connect GPTs to external APIs using authentication and an API schema that defines available operations.
Lab 3: Connect an external capability
Outcome:
Agent workflow design
Testing and improvement
Deployment and sharing
GPT sharing and publishing depend on account type and workspace permissions, and current OpenAI documentation says new GPT creation/publishing is restricted on personal ChatGPT accounts while Business, Enterprise and Edu workspaces can enable it according to workspace settings.
Lab 4: Test and launch the agent
Outcome:
There is no official OpenAI certification that this 4-hour course is designed to prepare participants for.
This course is focused on practical skills for building and using AI agents in ChatGPT, including custom GPTs, knowledge, research, tools, apps and actions.
No advanced programming experience is required.
The course completely changed how I look at ChatGPT. Instead of treating it as a chatbot, I learned how to build a specialized agent around an actual business workflow and give it the right knowledge and tools.
The hands-on work with custom GPTs, research and external integrations made the concepts practical. I could immediately identify several processes in our organization where these agent workflows could save significant time.
What stood out was the complete workflow. We didn’t just configure an agent. We gave it context, connected capabilities, tested real scenarios and refined the experience. It made agentic AI much more concrete.
You will learn how to build purpose-built AI agents in ChatGPT using instructions, knowledge, research, tools, apps and actions.
No. Basic ChatGPT and generative AI familiarity is enough for the core course. API knowledge is helpful for the advanced integration lab.
Yes. You will build one complete business agent throughout the four hours and progressively add knowledge, research capabilities, tools and testing.
Access to specific agent-building and workspace capabilities depends on the ChatGPT plan and workspace configuration. The course should use an eligible environment for the hands-on exercises. Current GPT creation and publishing availability varies by account type and workspace permissions.
No. It is a practical AI agent-building course focused on applying ChatGPT capabilities to real business workflows.