AI Education Services for Universities, Colleges, & Community Colleges

Functioning of Hardware, Software and Networks

Python Programming

Data Structures

Algorithm Analysis

Software Development Methodologies, Testing and Version Control

Web Applications and APIs Creation and Deployment

Database – SQL, NOSQL

Machine Learning Fundamentals

Linear Regression

Logistic Regression

Regularization

Neural Network

Decision Trees

Text and Image Processing

Naïve Bayes

k-Nearest Neighbors

Deployment of Machine Learning Models

Data Cleaning

Machine Learning Workflow

Linear Regression

Decision Tress

Ensemble Methods

k-Nearest Neighbors

Support Vector Machines

Probabilistic Models

Clustering

Dimensionality Reduction

Time Series Analysis

Reinforcement Learning

Deep Learning Mathematical and Programming Concepts ap Applications

Deep Learning Components, such as Vanishing and Exploding Gradiep Algorithms, Optimization Methods, Normalization and Regularization

Convolutional Neural Networks

Recurrent Neural Networks

Unsupervised Deep Learning

Deep Learning Model Development, Test and Deployment

Computational Graphs and Back Propagation

Advanced Concepts and Applications of Activation Function, Weigp Initialization, Optimization Method, Adam Optimizer, Normalization and Hyperparameter Tuning

Convolutional Neural Networks

Recurrent Neural Networks

Attention and Neural Computation

Deep Unsupervised Learning

Applied Deep Learning

Deep Reinforcement Learning

Image Formation and Representation

Object Recognition

Image Processing

Segmentation

Feature Detection and Matching

Video Processing

Image classification

Deep Learning Methods in Computer Vision

Natural Language Processing Fundamentals

Machine Learning for NLP

Language models

Word Embeddings

Markov models

Sequence Models

Syntax and parsing

Attention

Semantics, Pragmatics and Discourse

Contextual Embedding and Pretraining