Build Production-Grade AI ProjectsStep by Step, Like a Real Engineer

30 sec summary

You will create a resume optimization workflow with rubric scoring, targeted bullet rewrites, and a final summary block tuned for a chosen role. Along the way you will practice the core NLP/prompt-engineering pattern of "score first, then rewrite against the score" -- the same pattern used in production content-quality and grading systems.

30 sec summary

You will clean customer data, train a churn model, evaluate trade-offs, and produce a ranked intervention table for the most at-risk accounts. You will also practice translating a probability score into a business decision by choosing a classification threshold deliberately instead of defaulting to 0.5.

30 sec summary

You will prepare property data, train a regression model, evaluate MAE and error spread, and produce an interpretable actual-vs-predicted report. You will also learn why Mean Absolute Error (MAE) is often preferred over R-squared alone when communicating results to non-technical audiences.

30 sec summary

You will load iris data, visualize separability, train a classifier, evaluate predictions, and explain errors clearly. You will also build intuition for how the K-Nearest Neighbors (KNN) algorithm works: it classifies a new point by looking at its closest labeled neighbors in feature space.

30 sec summary

You will clean dated sales records, visualize trend and seasonality, calculate growth changes, and generate a simple next-period forecast. You will practice separating three things that are easy to conflate in sales data: the underlying trend, repeating seasonal patterns, and one-off anomalies.

30 sec summary

You will parse notes into topics, generate summaries and flashcards, run adaptive quiz logic, and output a next-session revision plan. You will practice weighted random sampling, a technique used any time you need to bias selection toward certain items (here, weak topics) without ignoring the rest entirely.

30 sec summary

You will build a web app that takes niche and goals, then outputs categorized hooks, script drafts, CTA options, and a 7-day schedule. You will also learn why unchecked generation tends to repeat itself, and how lightweight duplicate-detection and scoring logic keeps output genuinely useful.

30 sec summary

You will collect landing page inputs, compute weighted conversion score, generate rewrite variants, and output an impact-priority action board. You will also practice impact-effort prioritization, a lightweight framework for deciding what to fix first when you have more ideas than time.

30 sec summary

You will clean transaction history, categorize expenses, detect leak patterns, forecast monthly burn, and produce a personalized savings roadmap. You will also practice scenario-based forecasting (low/base/high) instead of a single overconfident number, which is standard practice in real financial planning tools.