AI-Engineering-Specialization

Machine Learning with Python

• 1. Regression
• 2. Classification
• 3. Clustering
• 4. Recommender Systems
• 5. Final Project

Intro to Deep Learning & Neural Networks with Keras

• Introduction to Deep Learning
• Back Propagation Training a Neural Network
• Keras Regression & Classification
• Convolutional Neural Learning
• Build a Deep Learning Model

Introduction to Computer Vision and Image Processing

• Image Processing with OpenCV and Pillow
• Machine Learning Image Classification
• Neural Networks and Deep Learning for Image Classification
• Object Detection
• Project Case Self-Driving Car - Traffic Sign Classification

Deep Neural Networks with PyTorch

• Tensor and Datasets
• Linear Regression
• Multiple Input Output Linear Regression
• Softmax Rergresstion
• Deep Networks
• Convolutional Neural Network

Building Deep Learning Models with TensorFlow

• Introduction
• Supervised Learning Models
• Supervised Learning Models (Cont'd)
• Unsupervised Deep Learning Models
• Unsupervised Deep Learning Models (Cont'd) and scaling

AI Capstone Project with Deep Learning

• Loading Data
• Data Preparation
• Pretrained Models( Transfer Learning)
• Evaluating and Comparing Pretrained Models

Certificate of Specialization