CAS Studies Catalog
Programs
A progression, not a menu. The two diploma tracks run on fixed lengths; other durations are announced per cohort. Depth and outcomes are not negotiable.
Two diploma routes
Create the engine — or drive it.
Architectural Engineering creates the engine: mathematics, statistics, deep-learning theory and foundational-model research. Application Engineering drives the car: industry-standard models adapted to real problems, integrated and deployed. The routing question is simple — do you want to invent the model, or put it to work?
DIPLOMA · 18 MONTHS
AI Architectural Engineering
Create the engine
- Advanced mathematics & statistics for model creation
- Deep-learning architecture: topologies, transformer blocks, attention, custom layers
- Foundational model development: pretraining from the ground up, loss optimization, large-scale compute
DIPLOMA · 1 YEAR
AI Application Engineering
Drive the car
- Custom model tuning: YOLO-class vision and open-source LLMs on proprietary datasets
- API & pipeline integration: models into applications, databases and software ecosystems
- Deployment & scaling: Docker, AWS / GCP / Azure, inference speed and cost
Diploma in AI Architectural Engineering
The 18-month diploma for those who want to research, design and build foundational AI systems from scratch — inventing and heavily modifying architectures and core models, not just using existing ones.
Deep math · Research-grade engineering · Cohort-based · 18-month diploma track
Diploma in AI Application Engineering
The one-year diploma for those who want to implement, deploy and integrate existing AI technologies — adapting industry-standard models like YOLO and open-source LLMs to real business problems, custom datasets and production systems.
Essential math · Systems engineering · Cohort-based · one-year diploma track
AI Engineering — Zero to Advanced
The full path: mathematical foundations through modern systems engineering, for people who want to build intelligent systems rather than call APIs.
Working math · Systems engineering · Cohort-based · live engineering sessions
Mathematics for AI
Linear algebra, calculus, probability, statistics and optimization — taught as the working language of neural networks, not as abstract coursework.
Deep math · Applied engineering · Cohort-based · problem sessions
Computer Vision Engineering
From CNNs to vision transformers: detection, segmentation, tracking and multimodal vision, with the data-engineering discipline real deployments require.
Working math · Systems engineering · Cohort-based · lab sessions
NLP & Language Intelligence
Text processing, embeddings, sequence models, attention and semantic search — the engineering of systems that understand and organize language.
Working math · Systems engineering · Cohort-based
Foundation Model Engineering
Transformer architecture, pretraining, adaptation, grounding, evaluation, inference and serving — the complete engineering picture of modern foundation models.
Deep math · Research-grade engineering · Cohort-based · intensive
LLM Engineering
The applied discipline of building products on large language models: grounding, adaptation, evaluation, safety and serving economics.
Essential math · Systems engineering · Cohort-based
Generative AI Engineering
Text, image and multimodal generation as an engineering discipline: control structures, evaluation, provenance and product integration.
Essential math · Systems engineering · Cohort-based
Agentic AI Engineering
Agents that plan, use tools, remember and coordinate — with supervision, budgets and auditability engineered in from the first commit.
Essential math · Systems engineering · Cohort-based
Advanced Neural Architecture Design
For engineers who want to read, analyze and design architectures at the frontier: world models, mixture-of-experts, neurosymbolic and multimodal systems.
Deep math · Research-grade engineering · Seminar · design studio