AI & Data Science
Generative AI & LLM Application Development
A hands-on, builder-first course in student-friendly language. Create multimodal chatbots, knowledge-based RAG systems and multi-agent assistants using both commercial and open-source models, then deploy a complete AI application.
Skills you'll gain
Generative AILLMsAI chatbot developmentGradioOpen-source modelsRAGAI agentsFine-tuning (LoRA/QLoRA)Prompt engineering
Curriculum
10 modules · tap any module to expand.
Getting Started with Generative AI
How LLMs workAI tools & use cases
Building Real-World AI Applications
LLM-based productsUser-friendly AI solutionsBest practices
Create Your Own AI Chatbot
Multimodal chatbot (text, image, voice)AI agents basicsGradio interface
Open-Source AI Development
Open-source modelsRunning models locallyOpen vs commercial AI
Choosing the Right AI Model
Comparing LLMsPerformance evaluationCost vs performance
RAG Made Simple
What is RAG?Connect AI to your documentsKnowledge-based chatbots
Fine-Tuning AI Models
LoRA & QLoRACustomising modelsImproving responses
Advanced Open-Source Models
Powerful AI assistantsOptimising performanceProduction-ready systems
Multi-Agent AI Systems
Building multiple agentsAgent collaborationAutonomous workflows
Capstone Project
Complete AI assistantChat + documents + knowledge baseDeploy a real-world AI application
Career paths
- AI Application Developer
- Prompt Engineer
- AI Product Builder
- Freelance AI Developer
Projects you'll build
- Smart AI chatbot
- Document Q&A assistant
- Knowledge-based RAG system
- Multi-agent assistant
Not sure if this is the right fit?
Book a free counselling call and we'll map Generative AI & LLM Application Development to your background and goals.