Description
:Foundations and practices of Generative AI and Large Language Models (LLMs), covering the full lifecycle from model development to deployment. Explore generative model families, including Transformers, autoregressive models, diffusion models, GANs, and VAEs, and their multimodal applications across text, image, audio, and video. Modern techniques such as fine-tuning, parameter-efficient training, in-context learning, contrastive learning, retrieval-augmented generation (RAG), and multi-agent systems for enabling complex reasoning, coordination, and autonomous task execution are discussed. Key practices in prompt engineering, inference optimization, safety and alignment, and responsible AI deployment. Practical applications across diverse domains.Posting limited to:
Professeur à temps-partiel régulier / Regular Part-Time ProfessorDate Posted (YYYY/MM/DD):
2026/05/26Applications must be received BEFORE (YYYY/MM/DD):
2026/08/23Expected Enrolment:
30Approval date:
2026/07/22Number of credits:
3Work Hours:
39Hourly Rate:
Enseignement / Teaching: $239.47 (2024-2025)The academic year starts on September 1 and ends on August 31.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Course type:
BPosting type:
Régulier / RegularLanguage of instruction:
Anglais | EnglishCompetence in second language:
ActiveCourse Schedule:
Mardi | Tuesday 19:00-22:00 - -Requirements:
Additional Information and/or Comments:
The course is onlineAn acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience.
APTPUO Fall 2026- MIA5150-REPOST (ONLINE) Topic (Generative AI and (LLMs) • Ottawa, ON, CA
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