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Duración 14 horas
Temario del curso
- Day 1: ChatGPT in daily work
- Overview of the OpenAI ecosystem
- Models and reasoning models, and when longer thinking pays off
- Plus, Business and Enterprise compared, data protection and data use
- Differences from Claude, Copilot and Gemini
- Exercise: Solve a typical task with a fast model and a reasoning model and compare them.
- Instructions and personalization
- Building personal instructions (custom instructions)
- Checking, correcting and switching off memory, temporary chat
- Good prompts with goal, context, examples and format
- Sharpening results in a targeted way instead of starting over
- Exercise: Write own standing instructions and test their effect on two tasks.
- Files and data analysis
- Uploading, querying and comparing PDF, Word and Excel
- Analyses, charts and pivot overviews with the analysis tool
- Viewing calculation paths and spot-checking them
- Exercise: Analyze an anonymized Excel list and support three findings with a chart.
- Canvas, images and voice
- Editing texts and documents together in Canvas
- Creating and adjusting graphics and images for presentations
- Voice mode and dictation for notes and preparation
- Exercise: Revise a report in Canvas and create a matching graphic for a slide.
- Outcome: Each participant has own standing instructions, a verified data analysis and a revised text from their daily work.
- Overview of the OpenAI ecosystem
- Day 2: Extending ChatGPT with projects, GPTs and agents
- Projects for recurring work
- Creating projects with files and instructions
- Shared projects in the team
- Keeping order when many chats accumulate
- Exercise: Set up a project for an ongoing topic with three files and one instruction.
- Custom GPTs without code
- Instructions, knowledge files and conversation starters
- Quality check with test questions
- Sharing in the workspace, permissions and maintenance
- Exercise: Build a GPT for a common type of request in the team and check it with five test questions.
- Deep research and web search
- When to use web search, model knowledge or deep research
- Research assignment with question, sources, exclusions and format
- Checking sources and reading supporting passages
- Exercise: Write a deep research assignment on a technical topic and verify three sources.
- Connectors and the ChatGPT agent
- Connectors to file storage, mail and calendar
- The ChatGPT agent for multi-step tasks in the browser
- Approval points, limits and risks of autonomous workflows
- Scheduled tasks for recurring overviews
- Exercise: Hand over a multi-step research task to the agent and follow the workflow with approvals.
- Looking ahead and team rules
- What Codex and Sora mean for departments, without technical depth
- Rules for data, review and shared GPTs
- Personal plan for the next 30 days
- Exercise: Formulate three rules for use in the own team.
- Outcome: Each participant has a project, a shared custom GPT and a verified piece of research. The team knows the agent, connectors and its own rules.
- Projects for recurring work
Requerimientos
- Laptop, ChatGPT account (Business or Enterprise recommended, Plus possible), anonymized sample files from daily work.
- No programming skills required.
Audience
- Employees and teams who use ChatGPT Plus, Business or Enterprise and want to move from single chats to projects, custom GPTs and agents.
Reseñas (3)
Profundidad sobre el contexto de fondo y la formulación de prompts.
Olaf Kannt - Helios Klinikum Krefeld
Curso - Generative AI and Prompt Engineering in Healthcare
Traducción Automática
los consejos y las indicaciones recomendadas que podemos llevarnos de esta capacitación
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Curso - InVideo AI: Creating Engaging Short-Form Videos
Traducción Automática
Uso de prompts apropiados y eficaces
Marses Pacaldo
Curso - Generative AI and Prompt Engineering for Corporate Professionals
Traducción Automática
