Lilly Tech Systems
Learn No-Code AI
Build powerful machine learning models without writing a single line of code. From image classifiers to predictive analytics — learn to use visual AI tools that make machine learning accessible to everyone, regardless of technical background.
Your Learning Path
Follow these lessons to master no-code AI tools from beginner to advanced.
1. Introduction
What is no-code AI? Who it is for, what you can build, and how it compares to traditional ML development.
2. Obviously.ai
Build predictive models from spreadsheets. Classification, regression, time series, and deployment in minutes.
3. Lobe
Train image classification models with drag-and-drop. Label images, train, test, and export for any platform.
4. Teachable Machine
Google's browser-based ML tool. Train image, audio, and pose models directly in your web browser.
5. AutoML Tools
Enterprise-grade AutoML: Google Vertex AI AutoML, Azure AutoML, Amazon SageMaker Autopilot, and more.
6. Best Practices
Data preparation, model evaluation, deployment strategies, limitations, and when to move beyond no-code.
What You'll Learn
By the end of this course, you'll be able to:
Build Predictive Models
Create classification and regression models from your data without any coding.
Train Image Classifiers
Build custom image recognition models by simply labeling and uploading images.
Use Browser-Based ML
Train and deploy models entirely in your web browser using Teachable Machine.
Leverage Enterprise AutoML
Use cloud AutoML platforms for production-grade model building and deployment.