AI & Finance
Internship Program
Four industry-specific tracks with real-world datasets. Complete end-to-end ML projects for free. Earn official signed certificates for $99.99/track.
How It Works
Choose a Track
Pick any of the 4 industry tracks — all are completely free to access.
Work Through Phases
Complete each project phase at your own pace with real datasets.
Mark Progress
Track your completion as you finish each phase of the project.
Get Certified
Purchase an official signed certificate when all phases are complete.
Industry Tracks
Each track is a complete end-to-end capstone project with real-world data.
Banking & Finance
FREECredit Scoring Engine — End-to-End ML Project
Predict loan defaults using the Home Credit dataset. Build credit scoring models with Logistic Regression, Random Forest, and XGBoost, then deliver business recommendations for tiered approval systems.
Project Phases (7)
- 1.Data Collection — Load real Home Credit application data
- 2.Preprocessing — Handle missing values, outliers, encode categoricals, normalize
- 3.EDA — Visualize distributions, correlations, and default rates by segment
- 4.Feature Engineering — Create debt-to-income, credit utilization, annuity burden, age features
- 5.Model Building — Train Logistic Regression, Random Forest, and XGBoost classifiers
- 6.Evaluation — Compare models on Accuracy, ROC-AUC, Precision, Recall
- 7.Insights — Business recommendations and risk segmentation
+3 more phases
Consulting & Strategy
FREEAI Strategy Engagement — BakeHouse Global
Conduct a full consulting engagement for a multinational bakery franchise: assess AI readiness, build ROI models, map digital maturity, segment franchises, and deliver an executive strategy deck.
Project Phases (8)
- 1.Client Data Room — Data ingestion & business profiling with Pandas
- 2.Operational Diagnostics — Franchise performance benchmarking
- 3.AI Readiness Assessment — Quantitative scoring across 5 dimensions
- 4.ROI Modeling — NPV, IRR, payback for 3 AI use cases
- 5.Digital Maturity Map — Maturity heatmap across business units
- 6.Strategic Segmentation — Franchise clustering for adoption waves (K-Means)
- 7.Executive Strategy Deck — Charts, roadmap, and recommendations
- 8.Final Recommendation — Implementation plan & change management
+4 more phases
FinTech & Innovation
FREEDigital Payments Platform Analytics
Analyze 49K+ payment transactions across 5 digital methods. Build a fraud detection engine, segment customers for neobanking, and create a real-time transaction risk scoring system.
Project Phases (9)
- 1.Data Collection — Join payments, bookings, users, and properties
- 2.Preprocessing — Parse timestamps, handle nulls, derive transaction features
- 3.Payment Gateway EDA — Transaction volumes, method adoption, success rates
- 4.Feature Engineering — Transaction velocity, user risk profiles, payment patterns
- 5.Fraud Detection — Isolation Forest anomaly detection + Gradient Boosting
- 6.Customer Segmentation — K-Means clustering for neobanking personas
- 7.Transaction Risk Scoring — 4-tier risk classification with XGBoost + SHAP
- 8.Evaluation — ROC-AUC, precision-recall, cluster profiles, risk tiers
- 9.Business Insights — FinTech recommendations and deployment architecture
+5 more phases
Insurance & Risk
FREEHealthcare Fraud Detection & Risk Assessment
Detect fraudulent healthcare claims using 409K+ claim lines. Build anomaly detection, supervised fraud classification, and claims cost prediction models for actuarial pricing.
Project Phases (9)
- 1.Data Collection — Load real HealthVerity claims data from CSV
- 2.Preprocessing — Parse dates, handle nulls, type casting, deduplication
- 3.EDA — Claims distributions, geographic patterns, provider analysis
- 4.Feature Engineering — Build 20+ fraud indicators and risk features
- 5.Anomaly Detection — Unsupervised fraud detection with Isolation Forest
- 6.Fraud Classification — Supervised model using XGBoost, Random Forest
- 7.Claims Cost Prediction — Actuarial pricing model (GLM / Gradient Boosting)
- 8.Evaluation — ROC-AUC, Precision-Recall, risk segmentation
- 9.Business Insights — Recommendations for underwriting and claims ops
+5 more phases
🎓 Official Certificates
Earn a professional signed certificate for each track you complete
Each certificate includes:
- ✓ Official certificate number & QR verification
- ✓ Chief Economist & Program Director signatures
- ✓ Professional landscape PDF design
- ✓ Track-specific title & completion date
- ✓ Unique credential for your portfolio & LinkedIn
Complete all project phases first, then purchase your certificate from the track page.
Frequently Asked Questions
Are the internship tracks free?
Yes! All 4 tracks are completely free to access. Work through real-world datasets and complete end-to-end ML projects at no cost.
What do I pay for?
The certificate of completion costs $99.99 per track or $199.99 for all 4. The certificate is optional — the learning is free.
Is this self-paced?
Yes! Work through each phase at your own speed. Your progress is saved automatically. There are no deadlines.
What's included in the certificate?
A professional PDF with official certificate number, Chief Economist & Program Director signatures, QR verification, track title, and your completion date.
What tools do I need?
A computer with a web browser. The projects run directly in your browser using Python. You can also use Google Colab for free.
Can I get a refund on certificates?
Contact us within 7 days of certificate purchase for a full refund.