October 15, 2020
Approximately 2 months at 10 hours a week to completeYERGALI BERDIBAYEV's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.
Course Certificates Completed
Deep Neural Networks with PyTorch
Scalable Machine Learning on Big Data using Apache Spark
Machine Learning with Python
AI Capstone Project with Deep Learning
Building Deep Learning Models with TensorFlow
Introduction to Deep Learning & Neural Networks with Keras
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: Joseph Santarcangelo
Completed by: YERGALI BERDIBAYEV by October 14, 2020
IBM
Taught by: Romeo Kienzler
Completed by: YERGALI BERDIBAYEV by October 12, 2020
IBM
Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo
Completed by: YERGALI BERDIBAYEV by October 11, 2020
5-6 weeks of study, 3-6 hours per week
IBM
Taught by: Alex Aklson & Joseph Santarcangelo
Completed by: YERGALI BERDIBAYEV by October 15, 2020
IBM
Taught by: Samaya Madhavan, JEREMY NILMEIER, Romeo Kienzler & Alex Aklson
Completed by: YERGALI BERDIBAYEV by October 15, 2020
4-5 hours/week
IBM
Taught by: Alex Aklson
Completed by: YERGALI BERDIBAYEV by October 14, 2020
2 - 3 hours/week