F07 Stage A · Foundations 12 h (4 T / 8 P) Statutory
AI & Big Data Analytics — Industry Landscape
Places AI work in industry and occupational context.
Prerequisite
None
Modules
3
NOS
—
Statutory mapping
Model Curriculum Bridge Module 1
Modules
3 modules · 12 hours
M1 · Definitions and lifecycle
4 h TOPICS
- AI, ML, deep learning and generative AI boundaries
- The AI project lifecycle
- Data-to-value chain
Lab: Map a business problem to an AI solution pattern
Course material for this module is in production.
M2 · Industry use cases
4 h TOPICS
- BFSI, healthcare, retail, manufacturing, telecom, public services
- Build versus buy
- Failure patterns
Lab: Use-case teardown of a deployed industry system
Course material for this module is in production.
M3 · Occupational roles
4 h TOPICS
- AI engineer, ML engineer, data scientist, data engineer, MLOps, solutions architect, annotator
- Responsibilities and interfaces
- Career ladders
Lab: Role-mapping exercise against live job descriptions
Course material for this module is in production.
Assessment
Use-case teardown · role-mapping exercise