Course Notes

Weekly Materials & Resources

AI Course Materials

Access weekly slides, detailed notes, and hands-on exercises for each topic.

Course Progress Overview

16
Total Weeks
60+
Topics Covered
64
Class Sessions
Sep-Dec
2025

Weekly Schedule

1
Sep 01

Foundations and History

Course introduction, history of AI from Turing to modern era, and mathematical foundations

Course OverviewAI HistoryMath Foundations+1
4 topics
4 days
2
Sep 08

Deep Learning Foundations

Basics of deep learning, PyTorch introduction, and building your first neural network

Neural NetworksPyTorch BasicsTraining Loops+1
4 topics
4 days
3
Sep 15

Advanced Neural Networks

RNNs, LSTMs, attention mechanisms, and introduction to Transformers

RNNs & LSTMsAttentionTransformers Intro+1
4 topics
4 days
4
Sep 22

Transformers Deep Dive

Complete Transformers architecture, implementation, and pre-training concepts

Multi-Head AttentionEncoder-DecoderPre-training+1
4 topics
4 days
5
Sep 29

Building Language Models

Training small language models, evaluation, and introduction to large language models

Model TrainingEvaluationLLM Overview+1
4 topics
4 days
6
Oct 06

Multimodal AI

Vision-language models, speech recognition, TTS, and multimodal architectures

Vision-LanguageASR & WhisperTTS Systems+1
4 topics
4 days
7
Oct 13

Hugging Face Ecosystem

Hugging Face library, chat apps, inference optimization, and serving models

Transformers LibraryChat AppsVLLM Serving+1
4 topics
4 days
8
Oct 20

Fine-tuning Fundamentals

Introduction to fine-tuning, supervised fine-tuning implementation and practice

Fine-tuning IntroData PreparationImplementation+1
4 topics
4 days
9
Oct 27

Advanced Fine-tuning

Unsupervised fine-tuning, RLHF, policy optimization, and DPO techniques

Unsupervised FTRLHF TheoryPolicy Optimization+1
4 topics
4 days
10
Nov 03

Parameter Efficient Methods

Prompt tuning, prefix tuning, LoRA implementation, and serving custom models

Prompt TuningLoRA TheoryQLoRA+1
4 topics
4 days
11
Nov 10

Model Optimization

Inference optimization, knowledge distillation, quantization, and deployment

OptimizationDistillationQuantization+1
4 topics
4 days
12
Nov 17

AI Agents Fundamentals

Introduction to agentic AI, simple reflex agents, and LangGraph basics

Agent DefinitionReflex AgentsLangGraph Intro+1
4 topics
4 days
13
Nov 24

LangGraph Agent Development

Advanced LangGraph, conversational agents, reasoning agents, and tool usage

Advanced LangGraphConversationalMulti-Step Reasoning+1
4 topics
4 days
14
Dec 01

Cloud AI and Deployment

MLOps, AWS Bedrock, Azure AI solutions, and cloud deployment strategies

MLOpsAWS BedrockAzure AI+1
4 topics
4 days
15
Dec 08

Business Applications

Real-world problem solving, case studies, business integration, and customer support agents

Business CasesSolution ImplementationAI Consultants+1
4 topics
4 days
16
Dec 15

Final Projects and Assessment

Final project presentations, course review, future trends, and final examination

Project PresentationsCourse ReviewFuture Trends+1
3 topics
4 days

How to Use This Platform

1. Select a Week

Click on any week card to access that week's materials and resources.

2. Navigate Content

Use the sidebar to browse daily topics, slides, and detailed notes.

3. Practice Coding

Open the Jupyter notebook panel for hands-on Python exercises.