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Generative AI for Work & Research
No-Code AI Tools for Responsible Task Automation
Are you copy-pasting text into ChatGPT but struggling to see how AI can substantially transform your work? In this 8-week course, you’ll learn to use AI responsibly and effectively to accelerate parts of your content creation, research, data analysis, and knowledge management workflows as you build AI solutions for yourself and your team.
- Automate time-consuming document, spreadsheet, and data tasks
- Learn AI tools for knowledge organization and literature reviews
- Develop custom chatbots to support your projects or team
- Apply your knowledge in a hands-on capstone project
- Learn from classmates and instructors in live workshops and help sessions
- Earn 3 ECTS credits (for partner university students)
Is this course for you?
Designed for students, faculty, and other knowledge workers who want concrete strategies to accomplish more with modern AI tools. No coding experience is required.
Tuition: $250 per month (x2 months)
Financial hardship scholarships available.
Indicate your need in the standard enrollment form.
We offer a generous 1-month full refund policy so you can try the course risk-free.
Course Structure
8 weeks
Trimester 2: May 10 - Jul 1, 2026
Online classroom
Wednesdays 3pm GMT (check local time) or
Sundays 5pm GMT (check local time)
Course Modules
Documents, Presentations & Websites
Learn how large language models (LLMs) work and how to get the most out of them. Learn to use LLM assistance responsibly for reports, papers, presentations, and websites.
TOPICS: LLM fundamentals, content generation, no-code websites, Markdown documents, AI presentations
Automated Data Analysis
Master AI tools for analyzing data, manipulating files, and creating automated reports, knowing how/when to verify outputs. Learn to use Julius, ChatGPT Code Interpreter and Cursor.
APPLICATIONS: DATA CLEANING, DATA VISUALIZATION, REPORTING, DECISION SUPPORT
TOPICS: ChatGPT code interpreter, TheBricks dashboards, Julius, Cursor, data visualization
GenAI for Research & Text Analysis
Learn AI techniques for literature search, text analysis, and knowledge synthesis. Use tools like Elicit & LiteRev for literature reviews, and deploy LLMs for text classification, sentiment analysis and summarization.
APPLICATIONS: LITERATURE REVIEW, KNOWLEDGE SYNTHESIS, TEXT ANALYSIS
TOPICS: Elicit, Literev, text summarization, text classification, sentiment analysis, knowledge extraction
Custom GPTs and Chatbots
Build chatbots for research assistance, knowledge management, or specific task support. Explore RAG systems, API integrations, and Botpress workflows.
APPLICATIONS: CUSTOMER SERVICE, KNOWLEDGE MANAGEMENT
TOPICS: RAG systems, Custom GPT Builder, Botpress workflows, API integration, knowledge base connection
AI Tools for Workflow Automation
Automate repetitive tasks across platforms and workflows. Apply integration tools like Make.com to eliminate bottlenecks and free up time for strategic work.
TOPICS: Lindy automations, Make.com workflows, GSheets integration, Gmail API, task orchestration
GenAI for Communication & Outreach
Use AI tools to create assets for research dissemination and professional communications. Design visuals and presentations for sharing findings, pitching ideas or building awareness.
APPLICATIONS: OUTREACH, DIGITAL MARKETING, BRAND ASSETS
TOPICS: SVG, HTML and pixel-based image generation, AI video
Capstone Project & Showcase
Design and implement an AI solution for a real-world scenario. Receive feedback, troubleshoot technical issues, and present your work to your peers.
APPLICATIONS: PORTFOLIO DEVELOPMENT, SOLUTION DESIGN
TOPICS: Project scoping, workflow design, tool integration, presentations and feedback
Hear from GRAPH Graduates
Our Approach
Supportive Community
Online learning can be isolating. Our live classes and study halls create a vibrant community of aspiring AI practitioners.
- Rich peer interactions in our videoconferencing classroom
- Online groups, forums, teams: get all the support you need
- Improve your skills with constructive feedback from instructors
– Hello from a recent cohort!
– An example page from a student’s capstone Project
Hands-on Learning
Theory is important, but application is key. Throughout the course, you’ll work on real-world projects that demonstrate your growing skills to potential employers.
- Weekly quizzes and practical challenges to reinforce concepts
- Timely feedback on your work for targeted improvement
- Comprehensive capstone project
Modern Curriculum
There are a lot of new tools and fads in the AI space. Figuring out what’s essential can be challenging. Our experts have curated a focused curriculum that covers the most important and up-to-date aspects of AI for modern work.
- Modern tools, with a focus on time-tested reliable solutions
- Practical automation techniques with current AI technologies
- Learn to leverage AI to accelerate your workflow and productivity
Course Creators & Tutors
Meet our passionate team of data & AI professionals.
Prof. Olivia Keiser
Course Advisor
Head of the Mathematical Modelling Division, University of Geneva; GRAPH Network Director
Dr Sara Botero Mesa
Course Advisor
Scientific Collaborator at the University of Geneva | COO of the GRAPH Network
Kenechukwu Nwosu
Course creator & Tutor
Generative AI Researcher at the University of Geneva; GRAPH Courses Director
Joy Vaz
Instructional lead
GRAPH Network Training Coordinator and Instructor
Camille Valera
Course Creator & Tutor
Project Manager and Scientific Collaborator, the GRAPH Network
sabina Rodriguez Velásquez
Course Creator & Tutor
Project Manager and Scientific Collaborator, the GRAPH Network
Santiago Sotelo
Course Instructor
Data Scientist at PUCP; GRAPH Courses Tutor
Prof. Flavio Coelho
Course Advisor
Associate professor of Mathematical Epidemiology Getulio Vargas Foundation, Rio de Janeiro; EpiGraphHub Director
Dr. Guy Sadeu Wafeu
Course creator & Tutor
Data Analyst, Dept. of Internal Medicine, University of Yaounde; GRAPH Courses Tutor.
