May 17, 2023
Approximately 2 months at 10 hours a week to completeBRAD LAZARUK's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.
Course Certificates Completed
Introduction to Computer Vision and Image Processing
Deep Neural Networks with PyTorch
Building Deep Learning Models with TensorFlow
Introduction to Deep Learning & Neural Networks with Keras
AI Capstone Project with Deep Learning
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: Aije Egwaikhide & Joseph Santarcangelo
Completed by: BRAD LAZARUK by February 28, 2022
6 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)
IBM
Taught by: Joseph Santarcangelo
Completed by: BRAD LAZARUK by June 4, 2022
IBM
Taught by: Samaya Madhavan, JEREMY NILMEIER, Romeo Kienzler & Alex Aklson
Completed by: BRAD LAZARUK by May 7, 2023
4-5 hours/week
IBM
Taught by: Alex Aklson
Completed by: BRAD LAZARUK by January 5, 2022
2 - 3 hours/week
IBM
Taught by: Alex Aklson & Joseph Santarcangelo
Completed by: BRAD LAZARUK by May 17, 2023
IBM
Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo
Completed by: BRAD LAZARUK by April 26, 2020
5-6 weeks of study, 3-6 hours per week