AI for Everyone

• How to write prompts that turn instructions into high-quality outcomes
  
  
• Core concepts: roles, context, constraints, examples
  
  
• Understanding model behavior: specificity, ambiguity, and iteration
  
  
• Hands-On: Build, test, and refine prompts for different real-world use cases

Outcome: Create high-quality prompts that consistently produce the results you want.

• What automated data analysis is and how it replaces manual spreadsheet work
  
  
• How AI tools upload, clean, explore, and generate insights automatically
  
  
• Converting datasets into reports, summaries, charts, and decision-ready insights
  
  
• Where tools like Julius fit into modern no-code analytics
  
  

Hands-On: Analyze a complete dataset using natural-language questions to:

• Clean and prepare data automatically
  
  
• Explore patterns and trends
  
  
• Generate visualizations and summaries
  
  
• Produce an insights report with AI assistance

Outcome: Gain the ability to turn raw data into clear insights and visualizations through automated, no-code analysis using Julius as your primary practice tool.

• What Microsoft Copilot is and how it fits into daily workflows
  
  
• Copilot inside Word, Excel, PowerPoint, Outlook, and Teams
  
  
• Real productivity examples: drafting, summarizing, organizing, restructuring content
  
  
• Hands-On: Complete tasks using Copilot across multiple Microsoft apps.
  
  

Outcome: Use Microsoft Copilot confidently to automate routine work and boost productivity.

• What an API is and why it matters in AI products
  
  
• Introduction to Make.com, a no-code automation builder
  
  
• Connecting OpenAI to Make.com using your API key
  
  
• Understanding triggers, actions, modules, and workflow logic
  
  
• Hands-On: Build one complete automation (email summarizer, report generator, content assistant, etc.)

Outcome: Create a simple end-to-end AI automation using Make.com with your OpenAI key.

• How no-code automation tools like n8n work
  
  
• Triggers, actions, and workflows
  
  
• Building AI-powered agents: logic, external data, OpenAI API
  
  
• Hands-On: Build a functional AI agent (auto-reply bot, report generator, content pipeline, etc.)

Outcome: Build a working mini-AI agent using n8n and the OpenAI API.

• What “Enterprise AI” means in real business environments

   

• Industry examples: BFSI, healthcare, retail, education, manufacturing, logistics

   

• How companies automate at scale (workflows, governance, safety)

   

• Essential enterprise skills

   

• Identify three business processes that can be automated with AI.

Hands-On: Identify three business processes that could be automated with AI

Outcome: Understand how organizations deploy AI and discover where you can fit into AI-driven roles.

• What computer vision is — explained visually, not technically

   

• How AI identifies objects, faces, text, products, defects, and gestures

   

• Real applications: retail, healthcare, education, security, automation

Hands-On:

• Use no-code CV tools (image captioning, object detection, OCR).

   

• Train a simple custom vision model in Teachable Machine and test how AI interprets your own images.

Outcome: Explain computer vision clearly and use no-code CV tools in real tasks and projects.

• What the cloud is and why it matters for AI

   

• Basic cloud services: compute, storage, APIs

   

• Free cloud credits on AWS, Azure, and GCP

Hands-On:

• Launch a small cloud instance or use a cloud notebook

   

• Run a simple AI task using free credits

Outcome: Get comfortable with basic cloud platforms and run your first AI workload online.

Participants design and build a mini AI solution aligned with their field .For example,

• Educators: Lesson plan assistant
• Marketers: Campaign copy optimizer
• Finance professionals: Expense categorization bot

Policy makers: Document summarizer
Deliverables: working demo + ethical reflection note.