United States
The Non-degree in IBM Introduction to Machine Learning at International Business Machines Corporation (IBM) is a program for international students taught in English.
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.
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.
Machine learning skills are becoming more and more essential in the modern job market. In 2019, Machine Learning Engineer was ranked as the #1 job in the United States, based on the incredible 344% growth of job openings in the field between 2015 to 2018, and the role’s average base salary of $146,085 (Indeed).\n\nThis four-course Specialization will help you gain the introductory skills to succeed in an in-demand career in machine learning and data science. After completing this program, you’ll be able to realize the potential of machine learning algorithms and artificial intelligence in different business scenarios. You’ll be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You’ll also learn how to evaluate your machine learning models and to incorporate best practices.\n\nBy the end of this program, you will have developed concrete machine learning skills to apply in your workplace or career search, as well as a portfolio of projects demonstrating your proficiency. In addition to receiving a certificate from Coursera, you'll also earn an IBM Badge to help you share your accomplishments with your network and potential employer.\n\nYou can also leverage the learning from the program to complete the remaining two courses of the six-course IBM Machine Learning Professional Certificate and power a new career in the field of machine learning.
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.
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.
Application Fee
$0 USD
$0 USD
Tuition Fee
$49 USD
$49 USD
per year
All students from all countries are eligible to apply to this program.
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Application Fee
$0 USD
Service Fee
$0 USD
Tuition
49
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