Getting Started with TrainLab AI
Welcome to TrainLab AI! This guide will help you get started with building, training, and deploying AI models using our no-code platform.
Quick Start​
1. Create Your Account​
Visit platform.trainlab.ai and sign up for your free account.
2. Choose Your Use Case​
Select from our comprehensive library of AI tasks:
- Language Models: Chat assistants, text generation, preference training
- Computer Vision: Image classification, object detection, quality rating
- Text Analysis: Classification, similarity matching, entity recognition
- Document Processing: Question answering, text transformation
- Structured Data: Classification and prediction models
3. Select Your Industry​
Pick your industry for pre-configured templates and compliance settings:
- Healthcare
- Finance
- Telecommunications
- Retail & E-Commerce
- Manufacturing
- And 15+ more industries
4. Prepare Your Data​
Format your data according to our specifications:
- Text Data: CSV or JSONL format
- Image Data: ZIP file with images + mapping CSV
- Database: Connect S3, MySQL, PostgreSQL, or other sources
5. Upload and Train​
- Upload your dataset through our secure interface
- Review data quality and validation checks
- Configure training parameters (pre-optimized for your industry)
- Start training with real-time cost and time estimates
6. Deploy Your Model​
- One-click deployment to production APIs
- Get REST endpoints with authentication
- Monitor performance and usage analytics
- Scale automatically based on demand
Platform Overview​
🚀 Key Features​
- No-Code Interface: Build AI models through visual interface
- Industry Templates: Pre-configured for 20+ industries
- Compliance Ready: Built-in HIPAA, GDPR, SOC 2 compliance
- Transparent Pricing: See costs before you train
- Enterprise Scale: From prototype to production
📊 Supported Data Formats​
- CSV: Comma-separated values with headers
- JSONL: JSON Lines for complex data
- Images: JPG, PNG in ZIP format
- Databases: S3, MySQL, PostgreSQL, MongoDB
🔒 Security & Compliance​
- SOC 2 Type II certified
- GDPR and CCPA compliant
- Industry-specific compliance (HIPAA, PCI DSS, etc.)
- Encryption at rest and in transit
Your First Model​
Let's create a simple text classification model:
Step 1: Data Preparation​
Create a CSV file with two columns:
text,category
"This product is amazing!",positive
"Poor quality and service",negative
"Great value for money",positive
Step 2: Upload Data​
- Go to platform.trainlab.ai
- Click "Create New Model"
- Select "Text Classification"
- Choose your industry
- Upload your CSV file
Step 3: Review and Train​
- Review data mapping and quality checks
- Approve the training plan
- Click "Start Training"
- Monitor progress in real-time
Step 4: Test and Deploy​
- Test your model with sample inputs
- Review performance metrics
- Deploy to production API
- Start making predictions
Next Steps​
Learn More​
- Browse AI Tasks - Explore all available model types
- Industry Solutions - See industry-specific implementations
- API Reference - Integrate with your applications
- Best Practices - Optimize your models
Get Help​
- Documentation: docs.trainlab.ai
- Support Email: [email protected]
- Platform: platform.trainlab.ai
Sample Datasets​
We provide sample datasets for each industry and task type to help you get started quickly.
Pricing​
TrainLab AI uses transparent, usage-based pricing:
- Free Tier: Perfect for getting started
- Pay-per-Use: Only pay for what you train and deploy
- Enterprise: Custom pricing for large-scale deployments
See live cost estimates before starting any training job.
Support​
Our team is here to help you succeed:
- Technical Support: [email protected]
- Documentation: Comprehensive guides for every feature
- Community: Connect with other TrainLab AI users
Ready to build your first AI model? Get started now 🚀