This IBM AI Engineering Professional Certificate is ideal for data scientists, machine learning engineers, software engineers, and other technical specialists looking to get job-ready as an …

Whether you’re dealing with structured or unstructured data, you’ll learn to implement both supervised and unsupervised machine learning models using leading Python libraries such as …

This repository contains my handwritten notes (as images) and Jupyter notebooks from the IBM AI Engineering Professional Certificate, a 13-course specialization on Coursera.

This IBM Deep Learning with PyTorch, Keras and TensorFlow Professional Certificate builds the job-ready skills and practical experience AI techies need to catch the eye of employers.

The earner is able to build, test & deploy DL models using libraries such as Keras, PyTorch & Tensorflow. The earner has completed several ML & DL projects and is now armed with skills …

Master AI engineering fundamentals through hands-on projects in machine learning, deep learning, neural networks, and generative AI using Python, TensorFlow, PyTorch, and …

Nov 16, 2023 · The IBM AI Engineering Professional Certification comprises 6 online courses designed to equip learners with the necessary tools and skills for success in the field of AI …

This course is suitable for all aspiring AI engineers who want to learn TensorFlow and Keras. It requires a working knowledge of Python programming and basic mathematical concepts such …

Learn to use PyTorch, Keras, and TensorFlow for deep learning applications. Master supervised, unsupervised, and reinforcement learning concepts. Work on real-world projects like …

This project contains all source code, notebooks, and resources created and collected during the study of the IBM AI Engineering Professional Certificate program.