Understanding ChatGPT and Agent Capabilities
- How ChatGPT processes, reasons, and interacts
- Exploring GPT models and how they differ (GPT-4, GPT-4o, etc.)
- Real-world use cases of ChatGPT agents in business
- Demo: Inside a Custom GPT
AI Agent Builder, 3 day course in Dusit D2 Kenz Hotel, Dubai
The program blends strategy with hands-on implementation—teaching participants to create agents for tasks like customer engagement, data analysis, onboarding automation, knowledge retrieval, and workflow support. By the end of the course, participants will have built and tested their own ChatGPT-powered agent tailored to a specific use case.
AI Agent Builder Course Outline
- Understand how ChatGPT agents work and how to design them for specific business goals.
- Create and configure Custom GPTs using prompt engineering and knowledge upload features.
- Use OpenAI tools and APIs to integrate ChatGPT with real-world workflows.
- Apply prompt chaining and memory design to enable reasoning, personalization, and context retention.
- Deploy ChatGPT agents across platforms (web, Slack, CRM systems, or intranets).
- Apply data privacy, compliance, and ethical guidelines when using conversational AI.
Download the AI Agent Builder course guide
We offer a comprehensive curriculum that covers all of the essential topics. Our experienced instructors will provide you with the support and guidance that you need to succeed.
AI Agent Builder Course Syllabus
3 day course in Dusit D2 Kenz Hotel, Dubai
Our detailed syllabus for the AI Agent Builder is designed to deliver a practical and engaging learning experience over a comprehensive 3-day curriculum. Hosted in Dusit D2 Kenz Hotel, our expert instructors will guide you through key modules and practical applications to ensure you gain the skills needed to excel. Read on for a detailed breakdown of the syllabus.
Designing Intelligent ChatGPT Agents
- Defining the agent’s role, purpose, and objectives
- Structuring personality, tone, and response behavior
- Building instruction sets and conversation boundaries
- Workshop: Drafting your agent’s persona and goal
Mastering Prompt Engineering and Role Design
- Writing system and developer messages for control
- Using chain-of-thought prompting for logical reasoning
- Creating dynamic instructions and fallback behaviors
- Practice: Crafting reusable prompt templates
Building Your First Custom GPT (No-Code)
- Step-by-step creation inside ChatGPT’s GPT Builder
- Uploading and managing knowledge bases for accuracy
- Setting actions, tools, and file-handling abilities
- Exercise: Build and test your first fully functional GPT
Expanding Agent Capabilities with Actions and APIs
- What “Actions” mean in ChatGPT custom agents
- Connecting external apps (CRM, Slack, Google Workspace, etc.)
- Using Zapier, Make, and other no-code connectors for automation
- Activity: Configure your GPT to perform a live task
Data Handling and Retrieval-Augmented Generation (RAG)
- Adding custom company data to ChatGPT agents
- Integrating retrieval systems using vector databases (e.g., Pinecone, FAISS)
- How to build memory and long-context awareness into GPTs
- Demo: Build a knowledge-based support GPT
Testing, Debugging, and Optimizing ChatGPT Agents
- Common configuration issues and troubleshooting tips
- Testing for accuracy, tone, and relevance
- Setting performance metrics and continuous optimization
- Exercise: Conduct a user simulation test
Ethics, Security, and Responsible AI Use
- Managing confidential data in ChatGPT environments
- Reducing bias and ensuring fairness in responses
- Setting up human-in-the-loop workflows for oversight
- Discussion: The ethical line in automated conversations
Building GPTs via OpenAI API (Low-Code)
- Overview of the OpenAI API and Playground
- Sending structured requests (temperature, tokens, and parameters)
- Using Python or low-code platforms to build interactive GPTs
- Hands-on: Create an API-driven chatbot prototype
Automating Business Processes with ChatGPT Agents
- Using ChatGPT to handle repetitive communication and reporting
- Combining AI with business tools for operational efficiency
- Case study: End-to-end workflow automation via ChatGPT
- Workshop: Design a complete workflow integration plan
Multi-Agent Collaboration and Orchestration
- Designing GPTs that communicate and collaborate with each other
- Role-based agents for research, analysis, and synthesis
- Managing context across multiple agent roles
- Activity: Build a “team of GPTs” to complete a multi-step project
Final Project – Deploying Your ChatGPT Agent
- Packaging and presenting your agent for real-world use
- Sharing GPTs securely within teams or organizations
- Group presentations and peer reviews
- Certificate and post-course resources for further building
AI Agent Builder Course Instructor
Carlo Pepe
Carlo Pepe is an AI Business Consultant with a fervent passion for unlocking the business value of artificial intelligence. With a keen eye for emerging technologies, Carlo delves into the realm of Web 3.0, with a particular focus on Decentralized Finance (DeFi) applications built on Blockchain, liquidity pools, and the world of crypto.
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Course Dates: AI Agent Builder
This 3 day course is running at the Dusit D2 Kenz Hotel in Dubai on the dates below, please choose a date that suits you.
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Monday 23rd February 2026
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Monday 11th May 2026
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Monday 23rd November 2026
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