April 10, 2021
Approximately 2 months at 10 hours a week to completeJefferson Yuhan Zhang's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.
Course Certificates Completed
Building Deep Learning Models with TensorFlow
AI Capstone Project with Deep Learning
Introduction to Deep Learning & Neural Networks with Keras
Deep Neural Networks with PyTorch
Scalable Machine Learning on Big Data using Apache Spark
Machine Learning with Python
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
Earned after completing each course in the Specialization
IBM
Taught by: Samaya Madhavan, JEREMY NILMEIER, Romeo Kienzler & Alex Aklson
Completed by: Jefferson Yuhan Zhang by April 9, 2021
4-5 hours/week
IBM
Taught by: Alex Aklson & Joseph Santarcangelo
Completed by: Jefferson Yuhan Zhang by March 26, 2021
IBM
Taught by: Alex Aklson
Completed by: Jefferson Yuhan Zhang by April 3, 2021
2 - 3 hours/week
IBM
Taught by: Joseph Santarcangelo
Completed by: Jefferson Yuhan Zhang by March 26, 2021
IBM
Taught by: Romeo Kienzler
Completed by: Jefferson Yuhan Zhang by April 10, 2021
IBM
Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo
Completed by: Jefferson Yuhan Zhang by March 26, 2021
5-6 weeks of study, 3-6 hours per week