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IBM

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Master applied AI development using IBM Watson, covering machine learning, deep learning, and neural networks to build intelligent applications.

Overview

This Professional Certificate empowers students to become skilled AI Developers, proficient in applying machine learning, deep learning, and neural networks to solve real-world problems. Through hands-on projects and practical exercises, learners will master key AI algorithms and leverage popular open-source frameworks like TensorFlow, PyTorch, and scikit-learn, alongside the IBM Watson AI platform. The program covers essential skills in Python, SQL, and Linux, providing a comprehensive foundation for building, deploying, and managing AI-powered applications. It's ideal for aspiring AI developers, data scientists, and professionals looking to transition into AI roles, even those with no prior programming experience, as it starts from fundamental concepts.

Instructor

Saeed Aghabozorgi

Senior Data Scientist and Master Inventor, IBM

Saeed Aghabozorgi is a Senior Data Scientist and Master Inventor at IBM, specializing in machine learning, data mining, and analytics. He has extensive experience in applying AI solutions to various industry problems.

Learning Outcomes

  • Build, deploy, and manage AI-powered applications with IBM Watson.
  • Apply essential AI skills, tools, and popular frameworks like TensorFlow, PyTorch, and scikit-learn.
  • Master key machine learning and deep learning algorithms, including neural networks.
  • Develop proficiency in Python programming for data science, AI, and development.
  • Gain practical experience with SQL and databases for AI/ML workloads.
  • Understand Linux commands and shell scripting for efficient AI development environments.
  • Complete a Capstone Project to demonstrate practical AI application development skills.