Level:
Beginner
Length:
3 hrs
Lectures:
42
AI & Coding

ChatGPT Course: Master AI for Work & Creativity

Learn how to prompt like a pro, build custom GPTs, automate tasks, analyze data, and create with AI.

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What You'll Learn

  • Effective six-element prompt formula and advanced patterns
  • Image generation & editing inside ChatGPT
  • No-code automations with Zapier, Forms, Slack, and Gmail
  • Use Deep Research mode to create daily, cited industry briefings
  • Upload PDFs and teach a Custom GPT to cite your proprietary knowledge base
  • Data cleaning, visualization, and math with Code-Interpreter
  • Building, sharing, and refining Custom GPTs with knowledge uploads
  • Using Memory & custom instructions for personalized responses
  • Schedule tasks and recurring digests directly inside ChatGPT
  • Combine Voice Mode with Memory for a personalised hands-free assistant

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About The Course

ChatGPT has become an essential tool for work, creativity, and productivity. This course takes you step by step from the basics to advanced use cases, so you can make ChatGPT a practical tool in your life and work. You’ll begin with prompting fundamentals, mastering formulas and advanced patterns that deliver accurate and consistent results. Then you’ll learn how to use ChatGPT’s Code Interpreter for real data work - cleaning, analyzing, and visualizing datasets, as well as solving math problems.

The course also covers image generation and editing, building Custom GPTs with knowledge uploads, and working with memory and custom instructions to personalize ChatGPT. You’ll practice real-world automations using tools like

ChatGPT Course: Master AI for Work & Creativity

Curriculum

1 Getting Started with ChatGPT
2 ChatGPT for Research, Planning & Brainstorming
3 Creative Work with ChatGPT
4 Image Creation & Visual Workflows
5 Automations & Workflow Integration with ChatGPT
6 Data Handling & Analysis with ChatGPT
7 ChatGPT in Daily Life & Work
8 Custom GPTs, Memory & Personalized Experiences
9 Power-User Techniques & Integrations
10 Capstone Projects

10 chapters · 42 lectures · 3 hours of content

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