JSLeague

Course duration

2 days

Prerequisites

90%
Basic computer literacy
85%
Common business software
80%
Business processes and workflows

Course Overview

This program empowers business professionals, product managers, designers, and other non-technical roles to create AI-powered prototypes without coding. Participants will learn to use visual tools, communicate effectively with technical teams, and lead AI initiatives within their organizations.

Key Focus Areas

No-Code AI Tools: Master visual platforms like Zapier AI, Power Platform, and Bubble.io
Business Strategy: ROI calculation, risk assessment, and implementation planning
Team Leadership: Communicate with technical teams and manage AI projects
Immediate Impact: Build functional prototypes during the course

Day 1: AI Fundamentals & No-Code Prototyping

AI Demystified for Business
- Understanding AI capabilities and limitations in 2025
- Types of AI: ChatGPT, image generation, data analysis
- Real-world AI success stories across industries
- Common AI myths and misconceptions
AI Business Impact Assessment
- ROI calculation frameworks for AI projects
- Identifying AI opportunities in your role/department
- Risk assessment and mitigation strategies
- Ethical considerations and responsible AI use
AI-Powered Productivity Tools
- Content creation: Copy.ai, Jasper, ChatGPT
- Design automation: Canva AI, Figma AI plugins
- Data analysis: Excel Copilot, Google Sheets AI
- Workshop: Personal productivity boost session

Visual AI Development Platforms
- Zapier AI for workflow automation
- Microsoft Power Platform for business applications
- Bubble.io for web applications with AI
- Platform comparison: cost vs. capability analysis
Building Your First AI Prototype
- Chatbot Creation Workshop: Using Chatfuel or ManyChat
- Training chatbots with company data
- Process Automation Project: Lead qualification system
- Testing and iterating based on user feedback
AI for Content & Creative Work
- Content generation systems and calendars
- AI-powered image and video creation
- Brand voice consistency and quality control
- Presentation automation and design

Day 2: Strategic AI Implementation & Team Collaboration

Data-Driven Decision Making with AI
- Using DataRobot, H2O.ai for predictive analytics
- Creating dashboards with Tableau AI features
- Customer segmentation and sales forecasting
- Exercise: Business intelligence project
AI Project Planning & Management
- AI project lifecycle: from idea to implementation
- Stakeholder alignment and expectation management
- Resource planning and budget considerations
- Risk management framework development

Collaborating with Technical Teams
- Key technical terms and concepts
- Writing effective AI requirements
- Understanding technical constraints and possibilities
- AI procurement and vendor management
Change Management & AI Adoption
- Building AI literacy across teams
- Overcoming resistance to AI adoption
- Creating AI-first culture and mindset
- User experience design for AI systems
Advanced AI Applications & Future Planning
- Industry-specific AI use cases
- Customer service and marketing automation
- Sales optimization and operations improvement
- Future-proofing your AI strategy
Capstone Project & Presentations
- Individual Challenge: Design AI solution for real business problem
- Peer review session and collaboration
- Action planning: next steps and implementation roadmap