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Core AI
AI Foundations
Understand the models, data and evaluation concepts behind modern Artificial Intelligence systems.
Level
Foundations
Duration
5 weeks
Lessons
20
Price
Price on request
What you'll learn
- Explain supervised, unsupervised and generative learning.
- Distinguish training, inference and evaluation.
- Assess model outputs with explicit quality criteria.
Course curriculum
01 — Machine learning
- Learning from data
- Features and representations
- Generalisation
02 — Neural networks
- Layers and optimisation
- Transformers
- Embeddings
03 — Evaluation
- Metrics
- Error analysis
- Human review
Practical application
- · Compare model families for a defined task.
- · Build an evidence-based evaluation protocol.
Practical project: A model capability and evaluation dossier
Who is this for?
- · Professionals beginning in AI
- · Team leaders
Requirements
- · No programming required
Meet your instructor
RAG & Knowledge Systems
Instructor to be announced
Chunking, embeddings, hybrid retrieval, re-ranking and grounding answers in verifiable sources.
The verified name, biography, professional experience and public profile for this chair are published once confirmed. INTELLCOREAI does not present unverified profiles as faculty.
Student reviews
Reviews are published from verified students only, after the first cohort completes the program. We do not publish testimonials we cannot attribute.
