Applied AI · Course catalog

Applied AI Courses · part of the unified cybersecurity catalog

Applied AI foundation courses train software engineers, data scientists, security engineers, and product managers entering AI roles. The catalog references the Northeastern M.S. Applied AI specializing in Cybersecurity credential and weaves cybersecurity convergence content throughout. For the full unified catalog including cybersecurity foundation courses and the cybersecurity sales mastery program, see all DecipherU courses.

Available Applied AI courses

  1. 8 weeks · 55 hours · $397 one-time

    AI Career Transition

    An 8-week Applied AI foundation course for software engineers, data scientists, and adjacent professionals transitioning into AI engineering, ML engineering, AI product, and applied research roles. Cybersecurity convergence covered throughout.

    See the 8-week curriculum and capstone →

  2. 8 weeks · 55 hours · $497 one-time

    AI Product Management

    An 8-week Applied AI foundation course for product managers scoping AI features, designing evaluation methodology, partnering with AI engineering teams, and authoring AI product specs that ship. Cybersecurity convergence covered throughout.

    See the 8-week curriculum and capstone →

  3. 12 weeks · 75 hours · $597 one-time

    AI Engineering Mastery

    A 12-week premium Applied AI flagship covering production AI engineering: prompt engineering at scale, embeddings, RAG, evaluation, agents, fine-tuning, multimodal, deployment, cost economics, and AI safety. Cybersecurity convergence woven throughout.

    See the 12-week curriculum and capstone →

Catalog overview

Three Applied AI foundation courses cover the full path

AI Career Transition ($397, 8 weeks) covers the engineering transition arc into AI roles. AI Product Management ($497, 8 weeks) covers scoping AI features, evaluation methodology, and AI PRD authoring. AI Engineering Mastery ($597, 12 weeks) covers the deeper production AI craft for engineers already inside or adjacent to AI roles: prompt engineering at scale, RAG, evaluation, agents, fine-tuning, multimodal, deployment, cost economics, and AI safety. Cybersecurity convergence is covered throughout all three.

Other DecipherU course catalogs

Cybersecurity foundation and the cybersecurity-AI convergence