$ 29.90$ 89.9067% Off

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$ 29.90$ 89.9067% Off

Enrollment will begin soon

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AI Mastery LLMs Explained With Math(Transformers, Attention Mechanisms & More)

Name: AI Mastery LLMs Explained With Math(Transformers, Attention Mechanisms & More)
Price: 29.9 USD
Availability: InStock
Rating: 4.4 (75 reviews)

This online self-paced course explains Large Language Models (LLMs), Transformers, and Attention Mechanisms with practical and mathematical understanding. Learners will explore how modern AI works behind the scenes and gain skills to understand, build, and apply advanced AI systems confidently.

845 Enrolled

English

4.4 (75)

Offered By: iqrasity

5 Modules

Gain insight into a topic and learn the fundamentals.

Beginner

No prior experience required

Self-paced

Flexible deadline. Learn at your own pace.

About this course

This online self-paced course provides a practical and mathematical understanding of Large Language Models (LLMs), Transformers, and Attention Mechanisms. Learners will explore how modern AI models work behind the scenes and gain the skills needed to understand, build, and apply advanced AI systems confidently.

What you'll learn

Fundamentals of Artificial Intelligence, Machine Learning, and Deep Learning

Architecture and working of Large Language Models (LLMs)

Transformer models and self-attention mechanisms

Mathematical concepts behind embeddings, vectors, and neural networks

Training, fine-tuning, and evaluating AI language models

Real-world applications of Generative AI and modern NLP systems

Course Content

5 sections•28 resources• total length

Module 1: Introduction

0 resources

Module 2. Introduction to Tokenizations and Encodings

6 resources

Creating Our Optional Experiment Notebook

Encoding Categorical Labels to Numeric Values

Understanding the Tokenization Vocabulary

Encoding Tokens

Practical Example of Tokenization and Encoding

Module 3. Embeddings and Positional Encodings

9 resources

DistilBert vs. Bert Differences

Embeddings In A Continuous Vector Space

Introduction To Positional Encodings

Positional Encodings

Positional Encodings - Part 2 (Even and Odd Indices)

Why Use Sine and Cosine Functions

Understanding the Nature of Sine and Cosine Functions

Visualizing Positional Encodings in Sine and Cosine Graphs

Solving the Equations to Get the Values for Positional Encodings

Module 4. Attention Mechanism, Multi Head Attention, Masked Language Learning and More

13 resources

Introduction to Attention Mechanism

Query, Key and Value Matrix

Getting Started with Our Step by Step Attention Calculation

Calculating Key Vectors

Query Matrix Introduction

Calculating Raw Attention Scores

Understanding the Mathematics Behind Dot Products and Vector Alignment

Visualizing Raw Attention Scores in 2D

Converting Raw Attention Scores to Probability Distributions with Softmax

Normalization

Calculating the Final Context Aware Rich Representation for the Word River

Understanding the Output

Understanding Multi Head Attention

Module 5. Way Forward

0 resources

Skills you'll gain

Understanding of Transformer and Attention architecturesMathematical reasoning for AI and deep learning modelsPrompt engineering and LLM workflow designAI model analysis and problem-solving skillsPractical knowledge of Generative AI applications

Pre-requisite

Basic understanding of mathematics and computer concepts
Interest in Artificial Intelligence and modern AI technologies

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

0 assignments

Taught in English

Why iqrasity

Certified, accredited, and experienced instructors

Comprehensive question bank covering all domains

Course content based on the latest exam syllabus

Proven track record of learner success across industries

Long-term access to all learning materials and updates

Rigorous assessments to ensure complete mastery

Issuance of shareable, digitally verifiable certificate

Highly affordable and self-paced

Digital Certificate

Career Paths You Can Pursue

AI Engineer

Machine Learning Engineer

Generative AI Specialist

NLP Engineer

Data Scientist

AI Research Assistant

Prompt Engineer

Instructor

iqrasity

Subject Expert

5Rating

963Reviews

9.9MStudents

63Courses

Iqrasity is a leading digital learning network dedicated to designing and delivering industry-relevant, future-focused education. When a course is developed in-house, Iqrasity serves as the instructor, bringing together subject-matter experts, instructional designers, and industry practitioners to create high-quality, practical learning experiences. Each course is carefully structured to meet global standards, ensuring learners gain up-to-date knowledge, hands-on skills, and career-ready competencies aligned with real-world demands.