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Completed by LOUIS, FREDERICK WILLEMS FEDERICI

April 26, 2020

Approximately 4 months at 10 hours a week to complete

LOUIS, FREDERICK WILLEMS FEDERICI's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.

Course Certificates Completed

Deep Learning with Keras and Tensorflow

Scalable Machine Learning on Big Data using Apache Spark

Machine Learning with Python

Introduction to Neural Networks and PyTorch

Introduction to Deep Learning & Neural Networks with Keras

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

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

View certificate for LOUIS, FREDERICK WILLEMS FEDERICI, 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: LOUIS, FREDERICK WILLEMS FEDERICI by April 25, 2020

7 weeks of study, 3-4 hours per week

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Scalable Machine Learning on Big Data using Apache Spark

IBM

Taught by: Romeo Kienzler

Completed by: LOUIS, FREDERICK WILLEMS FEDERICI by April 20, 2020

View this certificate

Machine Learning with Python

IBM

Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo

Completed by: LOUIS, FREDERICK WILLEMS FEDERICI by April 17, 2020

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

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Introduction to Neural Networks and PyTorch

IBM

Taught by: Joseph Santarcangelo

Completed by: LOUIS, FREDERICK WILLEMS FEDERICI by April 25, 2020

6 weeks of study, 2-3 hours/week

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Introduction to Deep Learning & Neural Networks with Keras

IBM

Taught by: Alex Aklson

Completed by: LOUIS, FREDERICK WILLEMS FEDERICI by April 21, 2020

2 - 3 hours/week

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AI Capstone Project with Deep Learning

IBM

Taught by: Alex Aklson & Joseph Santarcangelo

Completed by: LOUIS, FREDERICK WILLEMS FEDERICI by April 26, 2020

View this certificate