IBM AI Engineering
Completed by Caio Fernandes Assis
July 25, 2020
Approximately 2 months at 10 hours a week to completeCaio Fernandes Assis's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.
Course Certificates Completed
Deep Neural Networks with PyTorch
AI Capstone Project with Deep Learning
Machine Learning with Python
Building Deep Learning Models with TensorFlow
Introduction to Deep Learning & Neural Networks with Keras
Scalable Machine Learning on Big Data using Apache Spark
What you will learn
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
Course Certificates
Earned after completing each course in the Specialization
Deep Neural Networks with PyTorch
IBM
Taught by: Joseph Santarcangelo
Completed by: Caio Fernandes Assis by July 24, 2020
AI Capstone Project with Deep Learning
IBM
Taught by: Alex Aklson & Joseph Santarcangelo
Completed by: Caio Fernandes Assis by July 25, 2020
Machine Learning with Python
IBM
Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo
Completed by: Caio Fernandes Assis by July 24, 2020
5-6 weeks of study, 3-6 hours per week
Building Deep Learning Models with TensorFlow
IBM
Taught by: Samaya Madhavan, JEREMY NILMEIER, Romeo Kienzler & Alex Aklson
Completed by: Caio Fernandes Assis by July 25, 2020
4-5 hours/week
Introduction to Deep Learning & Neural Networks with Keras
IBM
Taught by: Alex Aklson
Completed by: Caio Fernandes Assis by July 24, 2020
2 - 3 hours/week
Scalable Machine Learning on Big Data using Apache Spark
IBM
Taught by: Romeo Kienzler
Completed by: Caio Fernandes Assis by July 24, 2020