IBM AI Engineering
Completed by BORIS KISOV
July 29, 2020
Approximately 33 weeks to complete.BORIS KISOV's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.
Course Certificates Completed
AI Capstone Project with Deep Learning
Machine Learning with Python
Scalable Machine Learning on Big Data using Apache Spark
Deep Neural Networks with PyTorch
Building Deep Learning Models with TensorFlow
Introduction to Deep Learning & Neural Networks with Keras
What you will learn
Describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reduction
Implement supervised and unsupervised machine learning models using SciPy and ScikitLearn
Deploy machine learning algorithms and pipelines on Apache Spark
Build deep learning models and neural networks using Keras, PyTorch, and TensorFlow
Course Certificates
Earned after completing each course in the Specialization
AI Capstone Project with Deep Learning
IBM
Taught by: Alex Aklson & Joseph Santarcangelo
Completed by: BORIS KISOV by July 28, 2020
Machine Learning with Python
IBM
Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo
Completed by: BORIS KISOV by July 29, 2020
5-6 weeks of study, 3-6 hours per week
Scalable Machine Learning on Big Data using Apache Spark
IBM
Taught by: Romeo Kienzler
Completed by: BORIS KISOV by July 27, 2020
Deep Neural Networks with PyTorch
IBM
Taught by: Joseph Santarcangelo
Completed by: BORIS KISOV by July 27, 2020
Building Deep Learning Models with TensorFlow
IBM
Taught by: Samaya Madhavan, JEREMY NILMEIER, Romeo Kienzler & Alex Aklson
Completed by: BORIS KISOV by July 27, 2020
4-5 hours/week
Introduction to Deep Learning & Neural Networks with Keras
IBM
Taught by: Alex Aklson
Completed by: BORIS KISOV by July 28, 2020
2 - 3 hours/week
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