Foundations of Modern AI (AI Theory)
Understand how neural networks, Transformers, LLMs, and AI agents work and where they fail in a no-code program for business professionals.
Taught by Dr. Sungsoo Lim · Lead Instructor · AI Strategy & Applied AI
Foundations of Modern AI (AI Theory)
with Dr. Sungsoo Lim
WEEKS
4
WEEKLY EFFORT
8–10 hours
CATEGORY
AI Literacy
FORMAT
Live Online
PRICE
$1200
Develop a practical, conceptual understanding of neural networks, Transformers, language models, and AI agents without writing code. Every major idea is observed through free no-code tools such as tokenizer playgrounds, Transformer Explainer, BertViz, TensorFlow Playground, Embedding Projector, and NotebookLM.
A dedicated session covers vision and multimodal AI, including CNNs, Vision Transformers, CLIP, and diffusion. Assessment includes a midterm quiz, a comprehensive written final, observation reports, and a capstone in which you explain one AI concept to colleagues and produce a model-comparison report.
The four-week program is taught in English and includes two two-hour live sessions each week plus an approximately two-hour asynchronous observation lab per session. Grading is Pass/Fail, with 70% required to pass.
What you'll learn
- Explain how Transformers and LLMs work in conceptual terms
- Identify limitations such as hallucination and bias
- Compare models and settings and make reasoned judgments
- Understand embeddings, search, and RAG
- Understand agents and vision or multimodal models
- Communicate AI concepts clearly to colleagues
Prerequisites
- No coding required
- A computer with internet access and a modern web browser
- Curiosity about how AI works
Certificate of Completion
Students who complete all course requirements receive a verified digital certificate issued by Abryne University.
Earn a Certificate of Completion
Students who complete all course requirements receive a verified digital certificate from Abryne University — shareable on LinkedIn and your resume.