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Generative AI Workshop

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About this event

What to expect

This recurring online workshop offers a practical, peer-to-peer approach to mastering Claude, ChatGPT, Gemini, and other generative AI tools. Hosted every Friday by Claude Code Business Automations, these sessions are designed for anyone looking to deepen their understanding of AI-powered workflows—whether you're a complete beginner or already building advanced automations.

What to Expect

This isn't a traditional lecture or presentation. Instead, each session is structured as an open, collaborative learning environment where participants actively share knowledge and solve problems together. You'll have the opportunity to:

  • Ask questions in an open Q&A format about using Claude, ChatGPT, and other generative AI platforms effectively
  • Watch live demonstrations from fellow participants showcasing their projects, workflows, and creative solutions
  • Discuss real-world use cases including business automation, content creation, research applications, and personal productivity projects
  • Learn practical techniques for prompt engineering, workflow design, and tool integration

Who Should Attend

These workshops welcome anyone curious about or actively working with generative AI tools. Whether you're exploring AI for the first time or you're an experienced user looking to refine your approach, you'll find value in the collaborative format. The sessions are particularly relevant for:

  • Professionals using AI for work automation and productivity
  • Content creators leveraging AI writing and generation tools
  • Researchers exploring AI applications in their field
  • Developers building AI-integrated workflows
  • Entrepreneurs automating business processes
  • Anyone interested in practical AI applications

Learning Format

The peer-learning structure means every session is different, shaped by the questions, demonstrations, and experiences participants bring. You're encouraged to share what you've been working on, discuss challenges you're facing, and contribute insights from your own AI experiments. This collaborative approach creates a dynamic learning environment where practical knowledge is exchanged freely.

No prior technical experience is required—just curiosity and a willingness to learn from others in the community. The recurring weekly schedule makes it easy to drop in regularly and build your skills progress

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