GenAI foundation (by 3aayaam) : maths of attention mechanism.

Format:

Video

Contributor:

Dey, Soumyadeep, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Generative artificial intelligence.

Physical Description:

1 online resource (1 video file (11 hr., 58 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 11-hour course, build practical skills in generative ai and attention mechanism mathematics through structured explanations and applied scenarios. Gain a clear path from foundational concepts to usable workflows, platform choices, and professional data or AI outcomes. What I will be able to do after this course Explain AI, ML, GenAI, and foundation model terms Distinguish data types, vectors, scalars, and equations Analyze model training, loss, and gradient descent Compare supervised, unsupervised, and self-supervised learning Interpret embeddings, tokenization, and transformer flow Course Instructor(s) Soumyadeep Dey is an Enterprise and IT Architect with 21+ years of leadership experience designing business solutions. He works as a Microsoft Data and AI Architect, previously served as a Senior Data and AI Architect with AWS India, and brings expertise across AWS, Azure, databases, data engineering, AI, and ML. Who is it for? Designed for application developers, solution architects, data architects, data engineers, and learners preparing for GenAI development. No prerequisites are stated, making it suitable for motivated learners seeking core GenAI concepts.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808653230

OCLC:

1606240273