IBM AI Engineering
Completed by ZHANFU YANG
March 2, 2020
Approximately 2 months at 10 hours a week to completeZHANFU YANG's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.
Course Certificates Completed
Machine Learning with Python
Building Deep Learning Models with TensorFlow
Deep Neural Networks with PyTorch
Scalable Machine Learning on Big Data using Apache Spark
Introduction to Deep Learning & Neural Networks with Keras
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
Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo
Completed by: ZHANFU YANG by March 2, 2020
5-6 weeks of study, 3-6 hours per week
Building Deep Learning Models with TensorFlow
IBM
Taught by: Samaya Madhavan, JEREMY NILMEIER, Romeo Kienzler & Alex Aklson
Completed by: ZHANFU YANG by March 2, 2020
4-5 hours/week
Deep Neural Networks with PyTorch
IBM
Taught by: Joseph Santarcangelo
Completed by: ZHANFU YANG by March 2, 2020
Scalable Machine Learning on Big Data using Apache Spark
IBM
Taught by: Romeo Kienzler
Completed by: ZHANFU YANG by March 2, 2020
Introduction to Deep Learning & Neural Networks with Keras
IBM
Taught by: Alex Aklson
Completed by: ZHANFU YANG by March 2, 2020
2 - 3 hours/week
AI Capstone Project with Deep Learning
IBM
Taught by: Alex Aklson & Joseph Santarcangelo
Completed by: ZHANFU YANG by March 2, 2020