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Completed by YEHUDA SHIMON TAYLOR

January 19, 2024

Approximately 2 months at 10 hours a week to complete

YEHUDA SHIMON TAYLOR's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.

Course Certificates Completed

Building Deep Learning Models with TensorFlow

Introduction to Deep Learning & Neural Networks with Keras

Deep Neural Networks with PyTorch

Introduction to Computer Vision and Image Processing

Machine Learning with Python

AI Capstone Project with Deep Learning

IBM AI Engineering

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What you will learn

Describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reduction
Implement supervised and unsupervised machine learning models using SciPy and ScikitLearn
Deploy machine learning algorithms and pipelines on Apache Spark
Build deep learning models and neural networks using Keras, PyTorch, and TensorFlow

Skills you will gain

Machine Learning
Deep Learning
Artificial Neural Networks
Human Learning
Python Programming
Machine Learning Algorithms
Applied Machine Learning
Algorithms
Regression
Network Model
Computer Vision
Mathematical Theory & Analysis

View certificate for YEHUDA SHIMON TAYLOR, IBM AI Engineering, offered through Coursera. Learners who have completed this 6 course Professional Certificate have a practical understanding of Machine Learning (ML) & Deep Learning (DL). They have technical skills to start a career in AI Engineering, and can:
• Implement ML algorithms including Classification, Regression, Clustering, and Dimensional Reduction using scipy & scikitlearn
• Perform ML on Big Data and deploy ML Algorithms and Pipelines on Apache Spark
• Demonstrate understanding of Deep Learning models such as autoencoders, restricted Boltzmann machines, convolutional networks, recursive neural networks, and recurrent networks
• Build deep learning models and neural networks using Keras, PyTorch and Tensorflow libraries
• Demonstrate ability to present and communicate outcomes of deep learning projects

Course Certificates

Earned after completing each course in the Specialization

Building Deep Learning Models with TensorFlow

IBM

Taught by: Samaya Madhavan, Ricky Shi, Alex Aklson, Romeo Kienzler, Joseph Santarcangelo, JEREMY NILMEIER & IBM Skills Network Team

Completed by: YEHUDA SHIMON TAYLOR by January 17, 2024

7 weeks of study, 2–3 hours per week

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Introduction to Deep Learning & Neural Networks with Keras

IBM

Taught by: Alex Aklson

Completed by: YEHUDA SHIMON TAYLOR by November 2, 2023

2 - 3 hours/week

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Deep Neural Networks with PyTorch

IBM

Taught by: Joseph Santarcangelo

Completed by: YEHUDA SHIMON TAYLOR by January 16, 2024

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Introduction to Computer Vision and Image Processing

IBM

Taught by: Aije Egwaikhide & Joseph Santarcangelo

Completed by: YEHUDA SHIMON TAYLOR by November 30, 2023

6 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)

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Machine Learning with Python

IBM

Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo

Completed by: YEHUDA SHIMON TAYLOR by September 27, 2023

5-6 weeks of study, 3-6 hours per week

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AI Capstone Project with Deep Learning

IBM

Taught by: Alex Aklson & Joseph Santarcangelo

Completed by: YEHUDA SHIMON TAYLOR by January 19, 2024

View this certificate