IBM - AI Engineering Professional

Overview

This accelerated IBM AI Engineering Professional Certification course, is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer.

You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers.

Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders.

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.

In just 6 days, you’ll learn to describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reduction. You’ll also learn how to:

• 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

At the end of this course, you’ll achieve your IBM AI Engineering Professional Certification certification.

Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

• People wanting to launch their career as an AI engineer.