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Artificial Intelligence is no longer just about chatbots answering simple questions. Today, it’s about building smart systems that research, analyze, decide, and even collaborate. In this blog, we’ll walk through a powerful learning journey made up of hands-on AI projects — each designed to push your Large Language Model (LLM) skills to the next level.
Project 1: AI-Powered Brochure Generator
Build a smart brochure generator that doesn’t just summarize content — it actively navigates and scrapes company websites, understands their structure, and creates polished marketing materials automatically. This project teaches intelligent web interaction and contextual content generation.
Project 2: Multi-Modal Airline Support Agent
Create a customer support assistant for an airline that understands text and potentially other inputs, works with a user interface, and uses function-calling to perform real actions like checking bookings or updating flight details. You’ll explore multi-modal AI, structured outputs, and real-time interaction.
Project 3: AI Meeting Minutes Generator
Develop a system that converts meeting audio into structured meeting minutes and clear action items. This project combines speech-to-text processing with both open-source and frontier models to compare performance, accuracy, and cost efficiency.
Project 4: Python-to-C++ Performance Booster
Design an AI tool that translates Python code into optimized C++ — dramatically improving execution speed. This project highlights how LLMs can support software optimization and high-performance computing tasks.
Project 5: AI Knowledge Worker with RAG
Build a Retrieval-Augmented Generation (RAG) system that becomes an expert on company-related information. By combining document retrieval with language generation, your AI can deliver precise, context-aware answers grounded in real data.
Project 6: Capstone Part A – Price Prediction with Frontier Models
Use advanced frontier models to predict product prices from short descriptions. You’ll explore structured prediction tasks and evaluate performance using cutting-edge AI systems.
Project 7: Capstone Part B – Fine-Tuned Open-Source Model
Fine-tune an open-source model to compete directly with frontier models in price prediction. This project focuses on customization, dataset preparation, and performance benchmarking.