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Duration 14 hours
Course Outline
- Day 1: Integrating ChatGPT into Daily Workflows
- Exploring the OpenAI Ecosystem
- Understanding standard versus reasoning models and identifying scenarios where extended processing is beneficial.
- Comparing Plus, Business, and Enterprise tiers, with a focus on data protection and usage policies.
- Highlighting key differentiators between ChatGPT, Claude, Copilot, and Gemini.
- Practical Exercise: Tackle a standard task using both a fast model and a reasoning model, then compare the performance outcomes.
- Personalization and Instruction Design
- Creating effective personal instructions (custom instructions).
- Managing memory settings, including verification, correction, and temporary chat modes.
- Crafting high-quality prompts that clearly define goals, context, examples, and desired formats.
- Iteratively refining outputs rather than restarting the process.
- Practical Exercise: Draft personal standing instructions and evaluate their impact on two distinct tasks.
- File Management and Data Analysis
- Uploading, querying, and comparing documents in PDF, Word, and Excel formats.
- Utilizing analysis tools to generate insights, charts, and pivot table overviews.
- Reviewing calculation logic and performing spot-checks to ensure accuracy.
- Practical Exercise: Analyze an anonymized Excel dataset and substantiate three key findings with supporting charts.
- Canvas, Visuals, and Voice Capabilities
- Collaboratively editing texts and documents within the Canvas interface.
- Generating and adjusting graphics and images for presentation decks.
- Utilizing voice mode and dictation for note-taking and meeting preparation.
- Practical Exercise: Revise a report in Canvas and design a complementary graphic for a presentation slide.
- Day 1 Outcome: Participants will possess customized standing instructions, a validated data analysis, and a polished text document derived from their daily responsibilities.
- Exploring the OpenAI Ecosystem
- Day 2: Expanding Capabilities with Projects, GPTs, and Agents
- Projects for Recurring Workflows
- Setting up projects that combine specific files with targeted instructions.
- Implementing shared projects to enhance team collaboration.
- Maintaining organization as the volume of conversations grows.
- Practical Exercise: Create a project for an ongoing topic, incorporating three files and one core instruction.
- Building Custom GPTs Without Coding
- Defining instructions, uploading knowledge files, and creating conversation starters.
- Performing quality assurance using a set of test questions.
- Managing workspace sharing, access permissions, and ongoing maintenance.
- Practical Exercise: Develop a GPT tailored to a common team request and validate it with five test queries.
- Deep Research and Web Integration
- Determining when to employ web search, internal model knowledge, or deep research features.
- Structuring research assignments with specific questions, source requirements, exclusions, and formatting needs.
- Verifying sources and reviewing supporting evidence passages.
- Practical Exercise: Draft a deep research assignment on a technical subject and authenticate three cited sources.
- Connectors and the ChatGPT Agent
- Integrating connectors with file storage, email, and calendar systems.
- Utilizing the ChatGPT agent to automate multi-step browser tasks.
- Implementing approval checkpoints, usage limits, and risk mitigation strategies for autonomous workflows.
- Scheduling automated tasks for recurring reporting and overviews.
- Practical Exercise: Delegate a multi-step research task to the agent and monitor the workflow via approval gates.
- Future Trends and Team Governance
- Discussing the implications of Codex and Sora for business departments without delving into technical complexities.
- Establishing protocols for data handling, content review, and shared GPT management.
- Formulating a personal action plan for the next 30 days.
- Practical Exercise: Define three specific usage rules for your team.
- Day 2 Outcome: Participants will have a functional project, a shared custom GPT, and a verified research piece. The team will have a clear understanding of the agent, connector capabilities, and internal usage standards.
- Projects for Recurring Workflows
Requirements
- A laptop, a ChatGPT account (Business or Enterprise plans are recommended, though Plus is acceptable), and anonymized sample files from daily operations.
- No programming experience is required.
Target Audience
- Employees and teams currently using ChatGPT Plus, Business, or Enterprise who aim to transition from basic single-chat interactions to advanced projects, custom GPTs, and agent-based 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
