@saurav_dnj_24 · github.com/SauravDnj · linkedin.com/in/sauravdnj

100-Day Carousel Factory

100 days × 5 posts/day × 8 slides per post — AI, ML, RAG, programming, databases, and the AI tool stack. Pick a theme, swap the palette, preview the animation, and download as PNGs, PDF, or MP4.

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DAY 001AI Fundamentals

What is Artificial Intelligence? →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 002AI Fundamentals

Narrow AI vs General AI →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 003AI Fundamentals

AI vs ML vs Deep Learning →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 004AI Fundamentals

A Brief History of AI →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 005AI Fundamentals

Real-World AI Applications →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 006AI Fundamentals

AI Ethics & Bias →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 007AI Fundamentals

How Models Learn (Intuition) →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 008Math for ML

Linear Algebra for ML →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 009Math for ML

Vectors, Dot Products & Cosine Similarity →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 010Math for ML

Probability for ML →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 011Math for ML

Statistics Essentials →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 012Math for ML

Calculus & Derivatives →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 013Math for ML

Gradient Descent, Visually →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 014Math for ML

Distance Metrics: L1, L2, Cosine →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 015Python

Python Basics in 8 Slides →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 016Python

Python Data Structures →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 017Python

List & Dict Comprehensions →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 018Python

Functions, *args, **kwargs →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 019Python

Decorators Demystified →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 020Python

Classes & OOP in Python →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 021Python

Generators & Iterators →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 022Python

Async/Await in Python →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 023Python

Virtual Environments & uv →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 024Python

NumPy in 8 Slides →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 025Python

Pandas in 8 Slides →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 026Python

Matplotlib & Seaborn →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 027Machine Learning

What is Machine Learning? →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 028Machine Learning

Supervised Learning →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 029Machine Learning

Unsupervised Learning →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 030Machine Learning

Reinforcement Learning →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 031Machine Learning

Train / Validation / Test Splits →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 032Machine Learning

Cross Validation →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 033Machine Learning

Bias-Variance Tradeoff →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 034Machine Learning

Overfitting & Regularization →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 035Machine Learning

Linear Regression →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 036Machine Learning

Logistic Regression →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 037Machine Learning

Decision Trees →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 038Machine Learning

Random Forests →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 039Machine Learning

Gradient Boosting & XGBoost →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 040Machine Learning

Support Vector Machines →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 041Deep Learning

What is a Neural Network? →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 042Deep Learning

Activation Functions →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 043Deep Learning

Backpropagation, Step by Step →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 044Deep Learning

Convolutional Neural Networks →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 045Deep Learning

Recurrent Neural Networks →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 046Deep Learning

LSTMs & GRUs →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 047Deep Learning

Dropout & BatchNorm →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 048Deep Learning

The Transformer, Explained →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 049Deep Learning

Attention Mechanism →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 050Deep Learning

Self-Attention vs Cross-Attention →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 051Deep Learning

Positional Encodings →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 052Deep Learning

Embeddings, Visually →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 053Deep Learning

PyTorch in 8 Slides →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 054Deep Learning

TensorFlow in 8 Slides →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 055NLP & LLMs

What is NLP? →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 056NLP & LLMs

Tokenization Explained →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 057NLP & LLMs

BPE & WordPiece →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 058NLP & LLMs

Word2Vec & GloVe →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 059NLP & LLMs

Language Models 101 →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 060NLP & LLMs

GPT vs BERT →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 061NLP & LLMs

Fine-Tuning LLMs →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 062NLP & LLMs

LoRA & QLoRA →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 063NLP & LLMs

Quantization (4-bit, 8-bit) →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 064NLP & LLMs

RLHF, DPO, PPO →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 065NLP & LLMs

Context Windows & KV Cache →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 066NLP & LLMs

Temperature, Top-p, Top-k →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 067RAG

What is RAG? →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 068RAG

The RAG Pipeline →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 069RAG

Chunking Strategies →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 070RAG

Embedding Models Compared →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 071RAG

Vector Search Basics →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 072RAG

Hybrid Search (BM25 + Vector) →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 073RAG

Reranking with Cross-Encoders →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 074RAG

Evaluating RAG Quality →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 075AI Agents

What is an AI Agent? →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 076AI Agents

The ReAct Pattern →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 077AI Agents

Tool Calling / Function Calling →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 078AI Agents

Multi-Agent Systems →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 079AI Tools

LangChain Crash Course →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 080AI Tools

LlamaIndex Crash Course →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 081SQL Databases

SQL vs NoSQL →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 082SQL Databases

PostgreSQL Essentials →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 083SQL Databases

Indexes & Query Plans →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 084NoSQL Databases

MongoDB in 8 Slides →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 085NoSQL Databases

Redis: Caching & Beyond →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 086Vector Databases

Pinecone for Vector Search →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 087Vector Databases

Weaviate Essentials →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 088Vector Databases

Qdrant in 8 Slides →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 089Vector Databases

Chroma for Local RAG →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 090Vector Databases

FAISS Deep Dive →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 091Vector Databases

pgvector: Postgres for AI →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 092AI Tools

OpenAI & Claude APIs →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 093AI Tools

Hugging Face Hub →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 094Prompt Engineering

Prompt Engineering 101 →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 095Prompt Engineering

Chain-of-Thought Prompting →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 096MLOps

MLOps in 8 Slides →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 097MLOps

Docker for ML →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 098Production AI

Serving Models with FastAPI →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 099Production AI

Monitoring LLMs in Production →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→
DAY 100Production AI

Build Your AI Portfolio →

1/5 · Concept→2/5 · Why It Matters→3/5 · How It Works→4/5 · Code Example→5/5 · Common Mistakes→