OAICGPTWSMTMaster ClassMT-OAICGPTWS1.0<ul> <li>Individuals new to OpenAI or ChatGPT who want a complete, structured introduction.</li><li>Professionals who need clarity on models vs. products, pricing, and capabilities.</li><li>Teams adopting ChatGPT for research, data work, coding, voice, connectors, or business transformation.</li><li>Anyone preparing to build or use ChatGPT Agents.</li></ul><h5>Day 1 &mdash; Foundations</h5><ul> <li>Purpose and mission</li><li>What OpenAI provides (high-level products and APIs)</li><li>What GPT models are</li><li>How they differ across families (GPT-5, o-series, GPT-4.1, GPT-4o, Realtime)</li><li>What ChatGPT is as a product</li><li>How it originated and evolved</li><li>Infrastructure and security (Azure AI supercomputers)</li><li>Pricing overview: tokens, API usage, ChatGPT plans</li><li>How to choose models + cost planning basics</li><li>Model retirements and misconceptions</li><li>Compliance, privacy, responsible use fundamentals</li></ul><p>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</p> <h5>Day 2 &mdash; Using ChatGPT Effectively</h5><ul> <li>What You Can &amp; Cannot Do with ChatGPT</li><li>Search &amp; Deep Research</li><li>Projects with Built-In Memory</li><li>Voice &amp; Realtime</li><li>Data Analysis, Coding, Canvas/Coding, Custom Flows</li><li>Access Methods</li><li>Account &amp; Privacy</li><li>File and Data Handling</li><li>Custom GPTs, Agents, Connectors</li><li>Azure OpenAI Service</li><li>Business Transformation Roadmap</li></ul><p>Activity: hands-on where learners use planning, structured prompts, and self-critique to produce reliable, professional-grade GPT outputs.</p> <h5>Day 3 &mdash; ChatGPT Agents</h5><ul> <li>Why agents exist</li><li>What problems they solve</li><li>What ChatGPT Agents are</li><li>How they differ from standard GPT conversations</li><li>How agents are structured</li><li>Single and multi-agent systems</li><li>Tools and guardrails</li><li>Agents in different business use cases</li><li>How they operate using tools, memory, and instructions</li></ul><p>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.</p>- 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.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.3 jours2995.002995.002995.004950.004950.004950.005412.874120.002990.002990.002990.002990.002990.00