Soft Landing

Purpose and prerequisites

Soft Landing connects engineering foundations to specialization. Complete Engineering Fundamentals or demonstrate equivalent skills through the Academy direct-entry review.

You should be able to write and debug Python, manage a local environment, collaborate with Git, work with NumPy and Pandas, query basic SQL, and interpret plots and foundational mathematics. Derivatives are taught in the deep-learning preparation section before deep learning.

Stage 1 Core Systems

Complete five required modules, exactly two electives, and an integrated AI service project. Keep evidence of implementation, evaluation, failure diagnosis, and review revisions.

Stage 2 Specialization

Continue into a specialization track and its capstone. Core Systems electives introduce capabilities explored more deeply in specialization.

Workload

Workload estimate pending pilot. Include practice, debugging, review, and revision in your study time.