Detecting COVID-19 with Chest X-Ray using PyTorch

Deep Learning for Computer Vision Specialization

Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.

Generative AI and LLMs: Architecture and Data Preparation

Learn about various generative AI models and architectures, the application of LLMs in language processing, and implement NLP preprocessing techniques using libraries and PyTorch.

Machine Learning with Python

Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.

Machine Learning - An Introduction

Acquire practical skills in fundamental machine learning models and their applications using PyTorch, as utilized by leading tech companies.

Artificial Intelligence (AI) - An Introductory Course

Understand AI, its applications, concepts, ethical concerns, and receive expert career guidance.

Neural Networks and Deep Learning

The Deep Learning Specialization offers a comprehensive foundation in deep learning, practical skills in constructing neural networks, and prepares individuals to integrate machine learning into professional endeavors, advancing careers in AI.

Machine Learning Intro to Everyone

The course's topics including the distinction between deep learning, machine learning, and artificial intelligence, the process of developing machine learning models, the difference between supervised and unsupervised learning, and the use of metrics for evaluating classification models.

IBM Data Science Professional Certificate

Prepare for a vocation as a data scientist. Acquire hands-on experience and in-demand skills to become job-ready in as little as five months. No prior experience is necessary.

IBM AI Engineering Professional Certificate

Begin your professional journey as an AI engineer. Master the art of generating business insights from large datasets by employing deep learning and machine learning models.

ML on AWS: Introduction

Learn to differentiate between deep learning, machine learning, and artificial intelligence (AI), select the appropriate AWS machine learning service for specific use cases, and understand the process of developing, training, and deploying machine learning models.