IBM AI Engineering
Completed by BORIS KISOV
July 29, 2020
Approximately 8 months at 3 hours a week to completeBORIS KISOV's account is verified. Coursera certifies their successful completion of IBM Skills Network IBM AI Engineering Specialization.
Course Certificates Completed
Machine Learning with Python
Deep Neural Networks with PyTorch
Scalable Machine Learning on Big Data using Apache Spark
Introduction to Deep Learning & Neural Networks with Keras
Building Deep Learning Models with TensorFlow
AI Capstone Project with Deep Learning
What you will learn
Describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reductionÂ
Implement supervised and unsupervised machine learning models using SciPy and ScikitLearnÂ
Deploy machine learning algorithms and pipelines on Apache SparkÂ
Build deep learning models and neural networks using Keras, PyTorch, and TensorFlowÂ
Course Certificates
Earned after completing each course in the Specialization
Machine Learning with Python
IBM Skills Network
Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo
Completed by: BORIS KISOV by July 29, 2020
5-6 weeks of study, 3-6 hours per week
Deep Neural Networks with PyTorch
IBM Skills Network
Taught by: Joseph Santarcangelo
Completed by: BORIS KISOV by July 27, 2020
Scalable Machine Learning on Big Data using Apache Spark
IBM Skills Network
Taught by: Romeo Kienzler
Completed by: BORIS KISOV by July 27, 2020
Introduction to Deep Learning & Neural Networks with Keras
IBM Skills Network
Taught by: Alex Aklson
Completed by: BORIS KISOV by July 28, 2020
2 - 3 hours/week
Building Deep Learning Models with TensorFlow
IBM Skills Network
Taught by: Samaya Madhavan, JEREMY NILMEIER, Romeo Kienzler & Alex Aklson
Completed by: BORIS KISOV by July 27, 2020
4-5 hours/week
AI Capstone Project with Deep Learning
IBM Skills Network
Taught by: Alex Aklson & Joseph Santarcangelo
Completed by: BORIS KISOV by July 28, 2020
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