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
TensorFlow
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
Flask (Development with AI)
Frontend fundamentals (HTML, CSS, JS)
SQL (for Data Science)
Git & Github (Version Control)
Docker
Kubernetes
Multiple minor & major projects
Industry grade domain specific projects
Finance, Recommendation system, Medical, E-commerce, Media etc.
GenAI assistant
+ additional sessions by AI professionals
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