IBM AI Engineering

Completed by ALVARO VEGA CERVINO

October 1, 2022

Approximately 2 months at 10 hours a week to complete

Course Certificates Completed

Introduction to Deep Learning & Neural Networks with Keras

Machine Learning with Python

AI Capstone Project with Deep Learning

Introduction to Computer Vision and Image Processing

Building Deep Learning Models with TensorFlow

Deep Neural Networks with PyTorch

IBM AI Engineering

IBM

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View certificate for ALVARO VEGA CERVINO, 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

Introduction to Deep Learning & Neural Networks with Keras

IBM

Taught by: Alex Aklson

Completed by: ALVARO VEGA CERVINO by July 11, 2022

2 - 3 hours/week

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Machine Learning with Python

IBM

Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo

Completed by: ALVARO VEGA CERVINO by April 25, 2022

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: ALVARO VEGA CERVINO by October 1, 2022

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Introduction to Computer Vision and Image Processing

IBM

Taught by: Aije Egwaikhide & Joseph Santarcangelo

Completed by: ALVARO VEGA CERVINO by August 3, 2022

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

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Building Deep Learning Models with TensorFlow

IBM

Taught by: Samaya Madhavan, JEREMY NILMEIER, Romeo Kienzler & Alex Aklson

Completed by: ALVARO VEGA CERVINO by September 30, 2022

4-5 hours/week

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Deep Neural Networks with PyTorch

IBM

Taught by: Joseph Santarcangelo

Completed by: ALVARO VEGA CERVINO by September 26, 2022

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