Python (programming language)

Variables & Operators

Conditional Statements & Loops (Flow Control)

Functions & lambda functions

List & List comprehensions, Tuple, Dictionary, & Set

File Handling & JSON Module

Object Oriented Programming (OOPs) – in Detail

Data collection, preprocessing & visualization

Numpy, pandas, matplotlib, seaborn etc.

Mathematics for AI




Statistics, Probability, Central Limit Theorem etc.




Supervised Learning in ML (classification &




regression)




Algorithms – Linear regression, Naive Bayes, KNN,




Decision Trees etc. 




Unsupervised Learning in ML (clustering &




association)




Algorithms – Logistic regression, K-means, PCA &




dimensionality reduction etc.




Reinforcement Learning in ML




Additional concepts: precision, recall, F1 score,




bias/variance tradeoff etc.




Scikit-learn & Kaggle




+ Multiple projects

Neural Networks & Terminologies

Forward & Backward Propagation

Perceptron

FNN Architecture (Feed forward neural network)

RNN Architecture (Recurrent neural network)

LSTM (Long short term memory network) need &

advantages

CNN Architecture (Convolutional neural network)

Transformers

PyTorch

PyTorch vs TensorFlow vs Keras

+ Multiple Projects

GenAI & LLMs agents (Language Language Models)

NLP (Natural Language Processing)

GAN (Generative Adversarial Network)

RAG (Retrieval-Augmented Generation)

Agentic AI

Cursor AI, Github co-pilot, Claude etc.

Working with OpenAI APIs