IBM AI Engineering

Completed by Yergali Berdibayev

October 15, 2020

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

Course Certificates Completed

Scalable Machine Learning on Big Data using Apache Spark

Deep Neural Networks with PyTorch

Introduction to Deep Learning & Neural Networks with Keras

AI Capstone Project with Deep Learning

Machine Learning with Python

Building Deep Learning Models with TensorFlow

IBM
4.4 (13,446 ratings) | 25K Students Enrolled
View certificate for Yergali Berdibayev, 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

Scalable Machine Learning on Big Data using Apache Spark

IBM

Taught by: Romeo Kienzler

Completed by: Yergali Berdibayev by October 12, 2020

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Deep Neural Networks with PyTorch

IBM

Taught by: Joseph Santarcangelo

Completed by: Yergali Berdibayev by October 14, 2020

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Introduction to Deep Learning & Neural Networks with Keras

IBM

Taught by: Alex Aklson

Completed by: Yergali Berdibayev by October 14, 2020

2 - 3 hours/week

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AI Capstone Project with Deep Learning

IBM

Taught by: Alex Aklson & Joseph Santarcangelo

Completed by: Yergali Berdibayev by October 15, 2020

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Machine Learning with Python

IBM

Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo

Completed by: Yergali Berdibayev by October 11, 2020

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

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Building Deep Learning Models with TensorFlow

IBM

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

Completed by: Yergali Berdibayev by October 15, 2020

4-5 hours/week

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