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IBM AI Engineering

United States

The Non-degree in IBM AI Engineering at International Business Machines Corporation (IBM) is a program for international students taught in English.

📖 Introduction

International Business Machines Corporation (IBM) is a globally recognized public multinational technology company founded in 1911. Initially named the Computing-Tabulating-Recording Company (CTR), it was renamed IBM in 1924. Known for its pioneering innovations in computer hardware, software, and IT consulting services, IBM has played a key role in advancing fields such as artificial intelligence (AI), cloud computing, and quantum computing. Distinguished by its commitment to research and development, IBM is responsible for groundbreaking inventions like the ATM, personal computer, and the Watson AI system.

📚 About the Program

AI is expected to grow 36.6% by 2030 (Forbes). This IBM AI Engineering Professional Certificate is ideal for data scientists, machine learning engineers, software engineers, and other technical specialists looking to get job-ready as an AI engineer.\n\nDuring this program, you’ll learn to build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, autoencoders,and generative AI models including large language models (LLMs).\n\nYou’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using Python. You’ll apply popular libraries such as SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow to industry problems using object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), and recommender systems. Build Generative AI applications using LLMs and RAG with frameworks like Hugging Face and LangChain.\n\nYou’ll work on labs and projects that will give you practical working knowledge of deep learning frameworks.\n\nIf you’re looking to build job-ready skills and practical experience employers are looking for, ENROLL TODAY and build a resume and portfolio that stand out!

AI is expected to grow 36.6% by 2030 (Forbes). This IBM AI Engineering Professional Certificate is ideal for data scientists, machine learning engineers, software engineers, and other technical specialists looking to get job-ready as an AI engineer.\n\nDuring this program, you’ll learn to build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, autoencoders,and generative AI models including large language models (LLMs).\n\nYou’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using Python. You’ll apply popular libraries such as SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow to industry problems using object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), and recommender systems. Build Generative AI applications using LLMs and RAG with frameworks like Hugging Face and LangChain.\n\nYou’ll work on labs and projects that will give you practical working knowledge of deep learning frameworks.\n\nIf you’re looking to build job-ready skills and practical experience employers are looking for, ENROLL TODAY and build a resume and portfolio that stand out!

🏫 About the University

IBM, established in 1911, is one of the oldest and most influential technology companies in the world. With its headquarters in Armonk, New York, IBM has been a leader in driving technological advancement across industries. The company is known for delivering enterprise solutions in cloud computing, artificial intelligence, cybersecurity, and quantum computing. Through its AI platform Watson, IBM has revolutionized data analytics and machine learning. With a strong focus on innovation and research, IBM holds thousands of patents and is committed to addressing global challenges through technology and consulting services tailored to businesses worldwide.

💰 Fees

Application Fee

$0 USD

$0 USD

Tuition Fee

$49 USD

$49 USD

per year

✅ Entry Requirements

All students from all countries are eligible to apply to this program.

📬 Admissions Process


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2

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