IBM AI Engineering Professional Certificate

Number of badges issued: 2166

This badge earner has demonstrated proficiency in Machine Learning (ML) and Deep Learning (DL). The earner understands various ML techniques such as regression, classification, clustering & recommender systems and is able to scale ML on Big Data using Apache Spark. The earner is able to build, test & deploy DL models using libraries such as Keras, PyTorch & Tensorflow. The earner has completed several ML & DL projects and is now armed with skills for starting a career in AI Engineering.

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IBM AI Engineering Professional Certificate

What is needed to earn this credential or badge

Course

Complete all courses in the IBM AI Engineering Professional Certificate program on Coursera (includes quizzes, hands-on asNeural Networksignments and projects), and earn the following badges:

Other

- Machine Learning with Python

Other

- Scalable Machine Learning on Big Data using Apache Spark

Other

- Introduction to Deep Learning & Neural Networks with Keras

Other

- Deep Neural Networks with PyTorch

Other

- Building Deep Learning Models with TensorFlow

Application

Successful completion of the AI Capstone Project with Deep Learning

Credential

Receive the Data Science Professional Certificate from Coursera

IBM AI Engineering Professional Certificate

Alignment to standards

no alignment to standards

IBM AI Engineering Professional Certificate

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