AI Labs: Real-Time Use Case Implementation
Hands-on AI Labs to simulate real-world use cases in Healthcare, Finance, E-commerce, and Security, applying ML/DL/NLP in practical scenarios.
Modules
- Healthcare - Cancer Diagnosis with CNN
- Finance - Fraud Detection System
- Retail - Product Recommendation AI
- Explainability with SHAP, LIME
- Bias Detection in Models
- Fair AI Design Principles
- Model Versioning & MLflow
- Dockerize ML Pipelines
- Batch vs Real-time Inference
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Your Learning Roadmap
Follow this path to mastery. Our AI guide leads the way.
Week 1: Domain Use Cases
12 hrsImplement AI models for healthcare, finance, and retail.
Week 2: Model Interpretability
10 hrsApply SHAP/LIME for explainability and bias checks.
Week 3: Scaling Pipelines
8 hrsVersion models and containerize with Docker/MLflow.
Week 4: Real-Time Deployment
6 hrsDeploy AI APIs for live inference and testing.
Why AI Labs?
- Gives real-world simulation for enterprise problem solving.
- Focuses on model interpretability, ethics, and production constraints.
- Build confidence for client-facing project roles.
- Explore multi-modal AI use cases with deployment.
- Backed by expert mentorship and code review cycles.