Course Overview
This 3-day program introduces participants to OpenAI, the foundations behind GPT models, and the practical use of ChatGPT across research, projects, multimodal workflows, and real-time interactions. It also covers key capabilities, limitations, pricing, infrastructure, responsible use, and how modern agents work. By the end, learners understand what OpenAI provides, how ChatGPT operates as a product, how models are trained and aligned, what the current model landscape looks like, and how to apply ChatGPT effectively across real-world tasks.
If you just want to get an overview of the basics, please check our Master Class Master Class: OpenAI ChatGPT Capabilities, Use Cases and Integrations (HSOAICGPT)
Who should attend
- Individuals new to OpenAI or ChatGPT who want a complete, structured introduction.
- Professionals who need clarity on models vs. products, pricing, and capabilities.
- Teams adopting ChatGPT for research, data work, coding, voice, connectors, or business transformation.
- Anyone preparing to build or use ChatGPT Agents.
Course Content
Day 1 — Foundations
- Purpose and mission
- What OpenAI provides (high-level products and APIs)
- What GPT models are
- How they differ across families (GPT-5, o-series, GPT-4.1, GPT-4o, Realtime)
- What ChatGPT is as a product
- How it originated and evolved
- Infrastructure and security (Azure AI supercomputers)
- Pricing overview: tokens, API usage, ChatGPT plans
- How to choose models + cost planning basics
- Model retirements and misconceptions
- Compliance, privacy, responsible use fundamentals
Activity: hands-on where learners practice real-world prompting, iterative refinement, and multi-step task execution to master GPT for professional productivity and problem-solving
Day 2 — Using ChatGPT Effectively
- What You Can & Cannot Do with ChatGPT
- Search & Deep Research
- Projects with Built-In Memory
- Voice & Realtime
- Data Analysis, Coding, Canvas/Coding, Custom Flows
- Access Methods
- Account & Privacy
- File and Data Handling
- Custom GPTs, Agents, Connectors
- Azure OpenAI Service
- Business Transformation Roadmap
Activity: hands-on where learners use planning, structured prompts, and self-critique to produce reliable, professional-grade GPT outputs.
Day 3 — ChatGPT Agents
- Why agents exist
- What problems they solve
- What ChatGPT Agents are
- How they differ from standard GPT conversations
- How agents are structured
- Single and multi-agent systems
- Tools and guardrails
- Agents in different business use cases
- How they operate using tools, memory, and instructions
Activity: hands-on demo where we showcase how to build and test a basic ChatGPT Agent inside an OpenAI Project, configure its role and tools, and refine its behavior through guided instructions and self-review.
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