Generative AI Project Ideas for Learning
By Karthick Selvam · Published · Updated
Hands-on project ideas that build practical generative AI skills.
Document Q&A with citations
Build a RAG app over a set of public documents, returning answers with source links. Add an evaluation set of questions.
Structured extraction
Extract fields from invoices or resumes into JSON, validating outputs against a schema.
Support ticket triage
Classify and summarise tickets, suggest a routing team and draft a reply for human review.
SQL assistant
Translate natural-language questions into SQL over a sample database, with safeguards such as read-only access.
Meeting summariser
Summarise transcripts into decisions and action items.
Frequently asked questions
How do I make projects stand out?
Show evaluation results, failure analysis and how you controlled cost and risk.
Related programmes
- Agentic AI with LangChain & LangGraph
- Building AI Agents with LangGraph & CrewAI
- Multi-Agent Systems: Design & Orchestration
Turn this into a team capability
Our corporate programmes cover topics like this hands-on, mapped to your stack.
AI & GenAI guides
Generative AI vs Traditional AI: What Is the Difference?
Traditional AI mostly predicts or classifies. Generative AI produces new content. Both have a place in the enterprise.
What Is Prompt Engineering?
Prompt engineering is the practice of writing instructions that get reliable, useful output from a language model.
What Is ChatGPT and How Does It Relate to Other AI Assistants?
ChatGPT is a conversational AI assistant from OpenAI, built on large language models. It is one of several similar assistants.