LEECOI

What you will build.

Project briefs from the AI Engineer and Machine Learning Engineer syllabi.

Enterprise RAG Assistant

Answer questions from a document collection, with retrieval, reranking, and source citations.

Document ingestion and embedding pipeline
Vector database integration
Retrieval and answer-quality evaluation
Deployed demo with feedback capture

Business Prediction System

Build a prediction workflow for churn, risk, lead scoring, customer value, price, or cost.

Exploratory analysis and data validation
Documented feature engineering workflow
Baseline and tuned final model
Metrics, error analysis, and limitations

LangGraph Multi-Agent Workflow

Build a stateful workflow that routes tasks, calls tools, handles failures, and asks for human approval where needed.

Workflow architecture diagram
Tool calls and state management
Checkpointing and logs
Security and guardrail tests

Segmentation and Anomaly Analysis

Group users, products, or transactions and identify unusual records for investigation.

Cluster profiles
Anomaly list with supporting reasons
Business recommendations
Visual summary of results

AI Production Readiness Review

Review an AI application for cost, latency, monitoring, security, and documented operating procedures.

Threat model
Cost and latency dashboard
Evaluation suite
Runbook and model card

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