Artificial Intelligence & Deep Learning Course Training 

Black Box method (ANN, CNN, RNN)

Introduction to Perceptron and Multilayer Perceptron 

Building Blocks of Neural Network - ANN 

Deep Learning Primer 

Perceptron Algorithm and Back Propagation Neural Network Algorithm

Artificial Neural Network (ANN), Multilayer Perceptron (MLP) 

Convolution Neural Networks - CNN

Computer Vision - Self Driving Cars (SDCs) 

Recurrent Neural Network - RNN 

CNN + RNN Variants, R-CNN & YOLO Models 

LSTM & GRUs - Bidirectional & Deep Bidirectional 

Transformers, BERT, GPT3 & Transformer Variants 

Autoencoders, Variational Autoencoders, RBM 

Deep Belief Networks (DBNs) 

Generative Adversarial Networks - GAN 

Super Resolution GAN 

Reinforcement Learning and Q-learning 

Speech Recognition 

Automatic Text Generation and Chatbot 

Auto Artificial intelligence (Auto AI) 

Explainable Artificial Intelligence (XAI) 

AutoKeras for Artificial Intelligence 

Large Language Model (LLM) 

Playground 

DALL-E