GenAI Toolkit for Non-Technical Professionals is a practical, hands-on capstone workshop designed to help professionals use generative AI tools without programming or advanced technical knowledge. The course focuses on practical workplace applications, helping participants select useful AI tools, create effective prompts, and develop AI-assisted workflows that can improve productivity and simplify everyday tasks.
Duration 2 days – 14 hrs
Overview
The GenAI Toolkit for Non-Technical Professionals is an advanced, hands-on capstone workshop designed to help professionals transform their existing generative AI knowledge into a practical, department-specific AI toolkit and workflow. The course focuses on applying accessible AI tools to real workplace challenges without requiring participants to develop complex software or write code.
Rather than simply learning how individual AI platforms work, participants will learn how to strategically select, combine, and apply multiple GenAI tools based on their specific business needs. Using tools such as Claude, Canva AI, Fireflies.ai, Notion AI, ChatGPT, and other productivity platforms, learners will explore how AI can support content creation, communication, research, reporting, meeting management, administration, and other everyday business processes.
A key component of the workshop is AI workflow design. Participants will identify a genuine challenge or time-consuming process within their department and map out how generative AI can assist at different stages of the workflow. They will define inputs, select appropriate AI tools, develop prompts, organize the workflow, and test the resulting outputs to create a practical AI-assisted solution.
The workshop places strong emphasis on practical business value and usability. Participants will evaluate their solutions based on factors such as productivity, efficiency, quality, ease of use, scalability, and alignment with departmental objectives. Through guided activities and instructor checkpoints, learners will have opportunities to identify gaps, improve their workflows, and strengthen their final solutions.
Participants will also present their completed workflows and receive structured peer and instructor feedback. This collaborative process allows learners to discover alternative approaches, refine their ideas, and identify opportunities to adapt their AI solutions for other tasks or departments.
Responsible AI adoption is integrated throughout the workshop. Participants will consider data privacy, confidentiality, accuracy, bias, human oversight, and appropriate use of AI-generated content when designing their workflows. This ensures that productivity improvements are balanced with responsible and secure AI practices.
By the end of the GenAI Toolkit for Non-Technical Professionals training, participants will have developed a functional, documented GenAI-powered workflow, supported by reusable prompts and selected AI tools. The capstone experience equips professionals with the confidence and practical skills to move beyond experimenting with AI and begin applying it strategically to improve workplace productivity, creativity, efficiency, and innovation.
Learning Objectives
- Strategically select GenAI tools based on departmental needs and workflows
- Design and execute a multi-tool AI workflow to solve a real-world challenge
- Demonstrate the operational or creative impact of their toolkit
- Refine their AI workflows based on structured peer and instructor feedback
- Prepare for AI leadership within their team or organization by showcasing applied innovation
Audience
- AI-savvy professionals from HR, Marketing, Sales, Operations, Admin, or Strategy teams
- Department heads, team leads, digital transformation champions
- Participants of prior intermediate or advanced GenAI, automation, or prompt engineering courses
- Cross-functional innovators ready to scale AI use in the workplace
Prerequisites
- Proficiency with at least 2–3 GenAI tools (e.g., ChatGPT, Claude, Canva, Fireflies, Slack GPT, Notion AI)
- Experience building AI-generated content, automations, or insights in past workflows
- Completion of intermediate-level GenAI or AI productivity courses
Course Content
Day 1: Strategy & Workflow Build
Session 1: Toolkit Planning & Tool Selection
- Identify departmental pain points or workflow opportunities
- Select GenAI tools aligned to objectives
- Examples:
- Claude + Fireflies + Notion AI – for HR/internal communications
- ChatGPT + Jasper + Canva AI – for marketing content and campaigns
- Slack GPT + Reclaim.ai + DeepSeek – for operations and scheduling
- Examples:
- Documenting roles, triggers, and desired outcomes
Session 2: Workflow Design & Build
- Design a multi-step workflow using selected tools
- Apply prompt engineering, automation logic, and workflow integrations
- Prototype and test outputs
- Instructor checkpoints for review and refinement
Day 2: Demo, Review & Iteration
Session 3: Workflow Presentation & Feedback
- Present GenAI workflow: purpose, tools used, and live demo
- Explain challenges, limitations, and business value
- Receive structured peer and instructor feedback
- Identify opportunities to scale or replicate across departments
Session 4: Final Iteration & Wrap-Up
- Refine toolkit and outputs based on feedback
- Best practices for documentation, rollout, and team training
- Build a reusability checklist for scaling GenAI across the org
Capstone Deliverable:
Participants leave with a fully functional GenAI-powered workflow tailored to their department, a reusable prompt and tool guide, and insights from peer feedback to improve and scale their solution.
