Legacy Modernization with AI Agents
Use LLMs and agents to understand, document and incrementally modernise legacy estates: code comprehension at scale, dependency mapping, test-harness generation before change, and agent-assisted translation with verification — practised on a realistic legacy codebase with planted traps.
What this course covers.
5 modules, 30 named skill atoms. Expand any module to see them.
1Comprehension at Scale6 skill atoms
2Safety Net First6 skill atoms
3Agent-Assisted Translation6 skill atoms
4Incremental Strangler Patterns7 skill atoms
5Modernisation Capstone5 skill atoms
AI-507 in a role journey.
This course appears in 1 of our 45 role journeys. Here is what a learner takes immediately before and after it in each.
Roles this course serves
This course is authored to band B5.
Every course we run is written to one rung of the CASI ladder, so a plan can be assembled to take a team from where they are to where they need to be.
What do B1–B6 mean?The CASI Capability Ladder — click to expand
Every course targets a band on the CASI Capability Ladder — our six-band proficiency scale, anchored to open standards (O*NET, ESCO, NICE, NIST AI RMF, Bloom's). A band tells you how deep a course goes, and what evidence proves it.
A note on B6. Courses in this catalog target B1–B5. B6 is not taught — it is recognised, through a portfolio and a panel, once someone is setting direction for others. Every journey here is built to land a learner at B5.
Other AI courses at this level.
Model Compression: Quantization, PEFT, QLoRA & Distillation
GPU Engineering for AI (CUDA · cuDNN · TensorRT)
Ray & Large-Scale Model Training
Preference Tuning: RLHF, DPO & Reward Models
Knowledge Graphs & GraphRAG
Multi-Agent Systems & Orchestration
Run AI-507 for your team.
This course runs at several lengths depending on how deep you need to go and how much of it your people already have. Tell us who is being trained and we will scope it.