IBM AI Engineering Specialization

This repository contains resources and projects related to the IBM AI Engineering Specialization, aimed at providing comprehensive insights and skills in the field of Artificial Intelligence.

Specialization Overview

The IBM AI Engineering Specialization offers a structured learning path covering various aspects of AI, including machine learning, deep learning, natural language processing, and more. Through hands-on projects and curated content, this specialization equips learners with the knowledge and tools necessary to excel in AI engineering.

Table of Contents

• Course 1: Machine Learning With Python

• Course 2: Introduction to Deep Learning & Neural Networks with Keras

• Course 3: Introduction to Computer Vision and Image Processing

• Course 4: Deep Neural Networks with PyTorch

• Course 5: Building Deep Learning Models with TensorFlow

• Course 6: AI Capstone Project with Deep Learning

Getting Started

To access the projects, notebooks, labs, and resources:

1. Clone this repository to your local machine using:

   sh git clone https://github.com/11a55an/IBM-AI-Engineering-Specialization.git
   

2. Navigate to the respective folders to explore and utilize the available content.

Acknowledgments

Special thanks to Courser, IBM and its AI Engineering Specialization for providing valuable content and projects to facilitate learning and skill development in the field of Artificial Intelligence.

Author

• Hassan Tahir (@11a55an)