Fundamentals of Machine Learning

How machines can do your work

11 July - 5 August 2022

Getting your computer to identify trends can save you a lot of time and make you look smart.

Machine learning (ML) is the branch of artificial intelligence (AI) that creates algorithms and teaches machines how to execute a task with only minimal help from us humans.

Are you ready to let go of figuring out when to schedule your next meeting? Which route to take to work?

Or perhaps which business relationships lead to the highest revenues?

Businesses use machine learning technology to extract useful insights from their data and win against their competitors.

It affects a range of organizations, from government and finance to retail, healthcare, and energy.

• Healthcare organizations use ML to track patients' health in real-time.
• Banks and governments use it to detect fraud.
• Energy companies use it to find oil.
• Retail outlets use it to optimize profit per customer.
• Transportation agencies use it to choose the most efficient routes.
• And you use ML every time you follow a suggestion from Netflix.

Learning the fundamentals of ML will give you resilience as a team member and prepare you for the future.

According to Simplilearn, “machine learning is a great career path if you're interested in data, automation, and algorithms.” And it pays well.

Even a little learning goes a long way in a field like ML. If you want to power up your tech knowledge and prepare to navigate emerging developments, find out more about Texas Tech University's Fundamentals of Machine Learning.

This 20-day course is a suitable introduction for all who are interested.

• Duration: 20 days, from July 11 to August 5, 2022
• Mode of instruction: Live, online
• Language of instruction: English
• Meeting times: Wednesday evenings
• Price: $1200 + IVA

Note: Fundamentals of Machine Learning is the first part of a 6-part certificate program. Sign up for the entire certificate (including 7.2 CEUs) for only $5000.

This course will not be offered again this year, and seats are limited. Contact us today.

Professor Juan Carlos Rojas

Juan Carlos Rojas has a Ph.D. from Northeastern University and a master's degree from Stanford University. He has worked for more than 20 years in the high-tech industry.

Rojas specializes in digital signal processing, real-time embedded computing, and artificial intelligence. At Texas Tech, he is a full-time lecturer in electrical engineering and computer science.

Contact us to enroll or get on the waiting list.