Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
- Day 1: Integrating ChatGPT into Daily Workflows
- Understanding the OpenAI Ecosystem
- Exploring standard vs. reasoning models and identifying when extended thinking adds value
- Comparing Plus, Business, and Enterprise plans, including data privacy and usage policies
- Positioning ChatGPT relative to competitors like Claude, Copilot, and Gemini
- Practical Exercise: Tackle a standard task using both a fast model and a reasoning model, then compare the outcomes
- Optimizing Instructions and Personalization
- Crafting effective personal instructions (custom instructions)
- Managing memory: reviewing, correcting, or disabling stored data; utilizing temporary chat sessions
- Designing robust prompts that include goal, context, examples, and desired format
- Iteratively refining results rather than restarting from scratch
- Practical Exercise: Draft personal standing instructions and test their impact on two distinct tasks
- File Management and Data Analysis
- Uploading, querying, and comparing documents across PDF, Word, and Excel formats
- Generating insights, charts, and pivot table summaries using the built-in analysis tool
- Auditing calculation logic and spot-checking accuracy
- Practical Exercise: Analyze an anonymized Excel dataset and substantiate three key findings with visual charts
- Collaborative Editing, Visuals, and Voice
- Co-editing texts and documents in real-time using Canvas
- Creating and refining graphics and images for professional presentations
- Utilizing voice mode and dictation for note-taking and meeting preparation
- Practical Exercise: Refine a report in Canvas and design a corresponding visual element for a presentation slide
- Day 1 Outcome: Participants will possess personalized standing instructions, a validated data analysis, and a polished piece of work content
- Understanding the OpenAI Ecosystem
- Day 2: Advanced Capabilities with Projects, Custom GPTs, and Agents
- Managing Recurring Work via Projects
- Creating project structures that bundle specific files and instructions
- Implementing shared projects for team collaboration
- Maintaining organization as conversation history grows
- Practical Exercise: Configure a project for an ongoing topic, incorporating three files and one specific instruction
- Building Custom GPTs Without Code
- Configuring instructions, knowledge bases, and conversation starters
- Conducting quality assurance through test questions
- Managing workspace sharing, permissions, and ongoing maintenance
- Practical Exercise: Develop a GPT tailored to a common team request and validate it with five test scenarios
- Leveraging Deep Research and Web Search
- Determining when to use web search, internal model knowledge, or deep research features
- Structuring research assignments with clear questions, source criteria, exclusions, and output formats
- Verifying sources and reviewing supporting evidence
- Practical Exercise: Draft a deep research prompt on a technical subject and verify three cited sources
- Utilizing Connectors and the ChatGPT Agent
- Connecting to external tools such as file storage, email, and calendar systems
- Deploying the ChatGPT agent for autonomous multi-step tasks within the browser
- Defining approval gates, operational limits, and risk management for autonomous workflows
- Scheduling recurring automated updates and overviews
- Practical Exercise: Assign a complex, multi-step research task to the agent and monitor the workflow with approval checkpoints
- Future Outlook and Team Governance
- Discussing the impact of Codex and Sora on business departments at a high level
- Establishing internal rules for data handling, review processes, and shared GPT management
- Developing a personal 30-day implementation plan
- Practical Exercise: Draft three specific operational rules for your team’s ChatGPT usage
- Day 2 Outcome: Participants will leave with a configured project, a shared custom GPT, and a verified research piece, while the team gains clarity on agent usage, connectors, and internal policies
- Managing Recurring Work via Projects
Requirements
- Participants require a laptop, a ChatGPT account (Business or Enterprise tier is recommended, though Plus is accepted), and anonymized sample files from their daily work
- No prior programming experience is necessary
Target Audience
- Professionals and teams currently using ChatGPT Plus, Business, or Enterprise who aim to transition from simple interactions to managing projects, custom GPTs, and automated agents
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