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Completed by Shovan Sundar Paul

April 8, 2023

Approximately 2 months at 10 hours a week to complete

Shovan Sundar Paul 's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.

Course Certificates Completed

AI Capstone Project with Deep Learning

Introduction to Deep Learning & Neural Networks with Keras

Deep Neural Networks with PyTorch

Building Deep Learning Models with TensorFlow

Machine Learning with Python

Introduction to Computer Vision and Image Processing

IBM AI Engineering

4.5 (6,498 ratings)

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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

Machine Learning
Deep Learning
Artificial Neural Networks
Human Learning
Python Programming
Machine Learning Algorithms
Applied Machine Learning
Algorithms
Regression
Network Model
Mathematics
Computer Vision

View certificate for Shovan Sundar Paul , 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

AI Capstone Project with Deep Learning

IBM

Taught by: Alex Aklson & Joseph Santarcangelo

Completed by: Shovan Sundar Paul by April 8, 2023

View this certificate

Introduction to Deep Learning & Neural Networks with Keras

IBM

Taught by: Alex Aklson

Completed by: Shovan Sundar Paul by April 4, 2023

2 - 3 hours/week

View this certificate

Deep Neural Networks with PyTorch

IBM

Taught by: Joseph Santarcangelo

Completed by: Shovan Sundar Paul by April 8, 2023

View this certificate

Building Deep Learning Models with TensorFlow

IBM

Taught by: Samaya Madhavan, Ricky Shi, Alex Aklson, Romeo Kienzler, Joseph Santarcangelo, JEREMY NILMEIER & IBM Skills Network Team

Completed by: Shovan Sundar Paul by April 8, 2023

7 weeks of study, 2–3 hours per week

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Machine Learning with Python

IBM

Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo

Completed by: Shovan Sundar Paul by April 5, 2023

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

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Introduction to Computer Vision and Image Processing

IBM

Taught by: Aije Egwaikhide & Joseph Santarcangelo

Completed by: Shovan Sundar Paul by April 6, 2023

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

View this certificate