EquiHealth Academy Knowledge for Impact. Compassion for All
EquiHealth Academy
Course Syllabus

LLMs for Work & Research:
No-Code AI Tools for Task Automation

A practical, hands-on programme for professionals and researchers

Sundays, 5–7 PM GMT (workshops) Sundays, 4–5 PM GMT (help sessions) 8 Modules Passing grade: 80%

Learning Components

01
Quizzes
Theory questions to reinforce your understanding of prework concepts before each workshop.
02
Workshops
Hands-on active exercises applying prework material while collaborating with fellow students and tutors.
Whole-class teaching Instructors demo new concepts live for the group
Learning activities Build skills through active, applied exercises

Course Schedule

Click any module to expand its prework and workshop topics.

1
Websites & Presentations

Prework

  • How LLMs are trained
  • How to use ChatGPT
  • LLM prompting strategies

Workshop

  • Websites with LLMs and GitHub Pages
  • Websites vs web applications
  • Intro to AI presentation tools
2
Automated Data Analysis

Prework

  • LLM data privacy
  • Setting up R and Cursor

Workshop

  • Julius and Cursor for no-code data analyses
  • Bricks AI for dashboards
  • Shortcut AI for spreadsheets
3
Text Processing & Research

Prework

  • Setting up to use LLMs in spreadsheets

Workshop

  • Text classification, sentiment analysis & summarization
  • AI tools for literature search, text analysis & knowledge synthesis
4
Custom GPTs and Chatbots

Prework

  • LLM model terminology
  • Picking the right model for your task

Workshop

  • Creating interactive chatbots with Botpress
  • Building custom GPTs for specific use cases
5
AI for Workflow Automation

Prework

  • AI agents vs workflows

Workshop

  • Building AI workflow automations
  • Intro to browser control agents
6
GenAI for Communication and Outreach

Prework

  • How models understand and create images and videos

Workshop

  • Graphics with LLMs
  • Editable diagrams with AI-generated SVG
  • Intro to AI-generated videos
7
Final Project Feedback

Prework

  • Prep for final projects

Workshop

  • Progress check on projects
  • Peer feedback sessions
  • Troubleshooting technical challenges
8
Final Project Showcase

Prework

  • Work on final projects

Workshop

  • Final project presentations
  • Public Q&A session

Grading Rubric

10%
Online Quizzes
Theory questions
40%
Workshop Assignments
Graded workshop exercises
10%
Attendance & Participation
Attend at least 5 workshops to pass
40%
Final Project
Presented in Module 8
80%
Passing Grade Required A combined score of 80% or above across all components is required to pass the course.