This practical one-day workshop helps you move beyond basic Claude prompting and use it as a strategic partner for research, value proposition development and data handling. Through expert demos and hands-on exercises, you’ll learn context management, Artifacts, Projects and Skills, leaving with a framework for creating production-ready plans with confidence.

Who Should Attend

This workshop is ideal for professionals in any business area—such as marketing, finance, operations, sales, or HR—whether you are new to the world of AI or simply curious about the acclaim surrounding Claude.ai. No prior technical expertise or AI experience is needed. It’s perfect for individuals eager to transcend basic chatbot interactions and establish a more robust, collaborative partnership with AI in their professional lives.

Prerequisites

No preresquisites are necessary for this session.

What You’ll Learn

  • The key differentiators of Claude.ai compared with other AI models, and the best use cases for each

  • Context-building techniques for achieving stronger results beyond rigid prompt structures

  • Practical ways to use Claude.ai as a strategic partner in daily professional work

  • Research methods for surfacing meaningful insights from complex datasets

  • Value proposition development and structured planning for project execution

  • Advanced Claude features, including Projects and Artifacts, for more effective AI collaboration

  • Wider Claude capabilities, including Skills, Connectors and Claude Cowork

  • Team-based workflow approaches for redesigning processes and showcasing AI-enabled outputs

  • Intuitive prompting methods for generating, refining and evaluating different types of content

  • A foundational understanding of multi-model integration for varied content creation

  • Greater confidence in testing and applying generative AI within specific workflows

  • Strategic workflow design for embedding AI into routine tasks

  • Core ethical principles and best practices for sustainable AI use

  • Actionable implementation routes for applying AI within your department or specialist field

Course Agenda

  • What’s included:

    A high-level overview of Large Language Model (LLM) architecture, specifically exploring platforms like ChatGPT and Google Gemini. We will examine their practical operational capabilities and the inherent constraints when applying these tools in a professional business environment.

    Learning outcomes:

    Participants will be able to define LLMs, identify high-value workplace use cases, and critically evaluate the technological boundaries of current tools.

Why our approach works

Measurable impact

Measurable impact

Track the return on learning investment through greater efficiency, productivity and cost savings.

Applied learning

Applied learning

Prioritize practical value, business needs and measurable outcomes when evaluating and applying AI solutions.

Get in touch

For further information about the content we cover and how we can help your business with our AI learning, our team is here to help.