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Completed by James Hope

March 30, 2024

Approximately 4 months at 10 hours a week to complete

James Hope's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.

Course Certificates Completed

Deep Learning with Keras and Tensorflow

Introduction to Neural Networks and PyTorch

Machine Learning with Python

Introduction to Deep Learning & Neural Networks with Keras

AI Capstone Project with Deep Learning

Introduction to Computer Vision and Image Processing

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

Keras (Neural Network Library)
Transformers
LLMs
PyTorch (Machine Learning Library)
Deep Learning
Artificial Intelligence
Neural Networks

View certificate for James Hope, 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

Deep Learning with Keras and Tensorflow

IBM

Taught by: Samaya Madhavan, Ricky Shi, Alex Aklson, Romeo Kienzler, Joseph Santarcangelo, Wojciech 'Victor' Fulmyk & JEREMY NILMEIER

Completed by: James Hope by March 30, 2024

7 weeks of study, 3-4 hours per week

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Introduction to Neural Networks and PyTorch

IBM

Taught by: Joseph Santarcangelo

Completed by: James Hope by March 30, 2024

6 weeks of study, 2-3 hours/week

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Machine Learning with Python

IBM

Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo

Completed by: James Hope by March 21, 2024

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

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Introduction to Deep Learning & Neural Networks with Keras

IBM

Taught by: Alex Aklson

Completed by: James Hope by March 24, 2024

2 - 3 hours/week

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AI Capstone Project with Deep Learning

IBM

Taught by: Alex Aklson & Joseph Santarcangelo

Completed by: James Hope by March 30, 2024

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Introduction to Computer Vision and Image Processing

IBM

Taught by: Aije Egwaikhide & Joseph Santarcangelo

Completed by: James Hope by March 26, 2024

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

View this certificate