Large Language Models: From Foundations to Transformers

About this course

Agentic AI Mastery: The Complete Learning Path

Master the core architecture driving modern AI—from deep learning and vector embeddings to attention mechanics, Transformers, and LLM scaling.

Your 3-Stage Agentic AI Learning Arc:

• Course 1: Large Language Models: From Foundations to Transformers
• Course 2: LLM Engineering: Prompting, RAG, Fine-Tuning, and RLHF

Course 3: Agentic AI Engineering: Multimodal, MLOps & AgentsNew to the series? Start here! This course provides the essential foundation for the entire learning path.

Why This Course:

Most AI courses jump straight to calling API wrappers, leaving you stranded when models fail or behavior needs fine-tuning. This course takes a different path.

We build your understanding ground-up—from standard machine learning and vector embeddings to the inner workings of self-attention and scaling laws through a carefully structured learning path. While we cover today's essential tools and frameworks, our focus on core principles ensures your knowledge remains valuable as the field evolves.

Course Modules

Module 1: Introduction to AI and Machine Learning

Begin your journey by understanding how machines learn from data. This module demystifies essential AI terminology, contrasts rule-based logic with learning algorithms, and covers fundamental model evaluation strategies—establishing the groundwork needed for deep learning.

Module 2: Deep Learning Fundamentals

Discover why deep learning revolutionized artificial intelligence and learn to think in terms of neural networks. Through hands-on coding and clear intuition, you'll master representation learning, backpropagation, activation functions, and the optimization techniques driving modern neural architectures.

Module

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