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IBM AI Engineering

Romeo Kienzler, Alex Aklson, Joseph Santarcangelo, Samaya Madhavan, and JEREMY NILMEIER
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What's inside

Five courses

Introduction to Deep Learning & Neural Networks with Keras

(8 hours)
Looking to start a career in Deep Learning? This course will introduce you to the field and help you answer questions like what is deep learning and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library.
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Building Deep Learning Models with TensorFlow

(4 hours)
The majority of data in the world is unlabeled and unstructured. Deep networks are capable of discovering hidden structures within this type of data. In this course you’ll use TensorFlow library to apply deep learning to different data types.
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Deep Neural Networks with PyTorch

The course will teach you how to develop deep learning models using PyTorch. The course will start with PyTorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression.
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Scalable Machine Learning on Big Data using Apache Spark

This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Apache Spark is an open source framework that leverages cluster computing and distributed storage to process extremely large data sets in an efficient and cost effective manner.
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AI Capstone Project with Deep Learning

In this capstone, learners will apply their deep learning knowledge to a real world challenge, using a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it, and present a project report to demonstrate the validity of their model and their proficiency in deep learning.
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Featured in The Course Notes

This collection is mentioned in our blog, The Course Notes. Read two articles that feature IBM AI Engineering:
Advanced Placement (AP) Success Without Boundaries: Preparing for AP Exams with Online Courses
38 minute read
The Definitive List of Advanced Placement (AP) Online Courses
31 minute read

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Time
750 hours
Via
Coursera
Institution
IBM
Instructors
Romeo Kienzler
Alex Aklson
Joseph Santarcangelo
Samaya Madhavan
JEREMY NILMEIER
Featured in The Course Notes
Read two articles that feature this collection, IBM AI Engineering from our blog, The Course Notes:
Advanced Placement (AP) Success Without Boundaries: Preparing for AP Exams with Online Courses
38 minute read
The Definitive List of Advanced Placement (AP) Online Courses
31 minute read
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