IBM AI Engineering Professional Certificate

  • IBM AI Engineering Professional, Launch your career as an AI engineer.
  • Learn how to provide business insights from big data using machine learning and deep learning techniques.

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Description

IBM AI Engineering Professional Certificate

  • IBM AI Engineering Professional, Launch your career as an AI engineer.
  • Learn how to provide business insights from big data using machine learning and deep learning techniques.

What you’ll 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

Advance your career with in-demand skills

  • Receive professional-level training from IBM
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from IBM

Earn a career certificate

  • Add this credential to your LinkedIn profile, resume, or CV.
  • Share it on social media and in your performance review

IBM AI Engineering Professional Certificate – 6 course series

  • Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions.
  • To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms.
  • And deep learning neural networks to provide data driven actionable intelligence for their businesses.
  • This 6-course Professional Certificate 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.
  • Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions.
  • To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms.
  • And deep learning neural networks to provide data driven actionable intelligence for their businesses.
  • IBM AI Engineering Professional 6-course Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer.