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Duration 14 hours
Course Outline
- Day 1: Integrating ChatGPT into Daily Workflows
- Overview of the OpenAI ecosystem
- Standard models vs. reasoning models: When extended thinking adds value
- Comparing Plus, Business, and Enterprise tiers, along with data protection and usage policies
- Key distinctions between ChatGPT, Claude, Copilot, and Gemini
- Exercise: Solve a typical task using both a fast model and a reasoning model, then compare the outcomes
- Personalization through instructions
- Creating and managing custom instructions
- Reviewing, adjusting, or disabling memory and temporary chats
- Crafting effective prompts using goal, context, examples, and format
- Refining outputs iteratively rather than restarting the conversation
- Exercise: Draft personal standing instructions and test their impact on two distinct tasks
- File handling and data analysis
- Uploading, querying, and comparing PDF, Word, and Excel files
- Generating analyses, charts, and pivot summaries using the analysis tool
- Reviewing calculation paths and spot-checking for accuracy
- Exercise: Analyze an anonymized Excel dataset and support three key findings with visual charts
- Canvas, visuals, and voice interfaces
- Collaboratively editing text and documents within Canvas
- Designing and refining graphics and images for presentation slides
- Utilizing voice mode and dictation for note-taking and preparation
- Exercise: Revise a report in Canvas and create a corresponding graphic for a slide
- Outcome: Each participant will have personal standing instructions, a validated data analysis, and a revised text from their daily work
- Overview of the OpenAI ecosystem
- Day 2: Expanding Capabilities with Projects, GPTs, and Agents
- Projects for recurring tasks
- Setting up projects with dedicated files and instructions
- Managing shared projects within a team environment
- Maintaining organization as chat history grows
- Exercise: Configure a project for an ongoing topic, including three files and one specific instruction
- Building custom GPTs without code
- Defining instructions, knowledge files, and conversation starters
- Performing quality checks using test questions
- Managing sharing, permissions, and maintenance in the workspace
- Exercise: Create a GPT for a common team request and validate it with five test questions
- Deep research and web integration
- Determining when to use web search, model knowledge, or deep research
- Structuring research assignments with specific questions, sources, exclusions, and formats
- Verifying sources and reviewing supporting passages
- Exercise: Compose a deep research prompt on a technical topic and validate three sources
- Connectors and the ChatGPT Agent
- Integrating connectors for file storage, email, and calendars
- Using the ChatGPT agent for multi-step browser tasks
- Setting approval points, limits, and risk controls for autonomous workflows
- Scheduling tasks for recurring overviews
- Exercise: Delegate a multi-step research task to the agent and monitor the workflow with approvals
- Future outlook and team governance
- Understanding the impact of Codex and Sora on departments (non-technical overview)
- Establishing rules for data handling, reviews, and shared GPTs
- Developing a personal 30-day action plan
- Exercise: Draft three specific usage rules for your team
- Outcome: Each participant will have a project, a shared custom GPT, and a verified research piece. The team will understand agent usage, connectors, and internal rules
- Projects for recurring tasks
Requirements
- A laptop, a ChatGPT account (Business or Enterprise preferred; Plus acceptable), and anonymized sample files from your daily operations
- No programming knowledge is required
Target Audience
- Professionals and teams utilizing ChatGPT Plus, Business, or Enterprise who aim to progress from basic chats to structured projects, custom GPTs, and agent workflows
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
