IBM AI Engineering

Course Overview

This IBM AI Engineering Professional Certificate is designed to equip you with the skills and knowledge you need to become an AI or ML engineer. Through this course, you will learn fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, and apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems. You will also gain essential data science skills scaling machine learning algorithms on big data using Apache Spark and build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders.

Completing this course will provide you with a Professional Certificate from Coursera and a digital badge from IBM recognizing your proficiency in AI engineering. You will also build a portfolio of projects demonstrating your mastery of course topics and complete an in-depth Capstone Project, where you’ll apply your AI and Neural Network skills to a real-world challenge and demonstrate your ability to communicate project outcomes.

By taking this course, you will be able to develop your career in AI engineering and stay competitive in the industry. You will also be able to apply the knowledge and skills you learn to other related fields such as data science, software engineering, and computer science. Additionally, you can use the skills you learn to develop your own projects and create innovative solutions to real-world problems.