Machine Learning

Machines can learn, and people teach them how. In this program, learn how computer processes or algorithms can improve automatically. Learn how to develop these processes in multiple industries (automotive, IT, and others) through hands-on experience.

IoT-

Machine Learning

Machines can learn, and people teach them how. In this program, learn how computer processes or algorithms can improve automatically. Learn how to develop these processes in multiple industries (automotive, IT, and others) through hands-on experience.

Learn from industry experts, work on industry challenges, and be ready for the next step.

12 Weeks – 111 Hours – 3 Hours Per Session – 3 Sessions/Days per Week

 

No previous knowledge is needed for this introductory course. 

○ This program is available in person and online.

○ Schedule Options:

■ Meet 3 days per week with Morning (9 AM-11 AM), Afternoon(1 PM-3 PM) or Evening (6 PM-8 PM online only) schedule options.

Modules

  • Intro to Machine Learning
  • Data Analysis
  • Intro to Statistics
  • Machine learning with datasets
  • Intro to Natural Language Processing (NLP)
  • Artificial Intelligence
  • Computer Vision
  • Algorithms
  • Machine Learning for Text Mining
  • Neural Networks for NLP
  • Multimodal Machine Learning
  • Industry topic in Machine Learning

Learning Outcomes

■ Demonstrate an understanding of robotics and AI concepts

■ Demonstrate an understanding of the integration of systems

 

Tuition

$9,995.00

Tuition Assistance Options Available

 

Industry-led Credentials From:

Certification logo and Partner page
DIverseNote Logo and certification page

DiverseNote Mobility is the national accelerated career training academy increasing access to career and economic mobility, as well as to college scholarships from competitive colleges and universities.

SPEAK with AN ADMISSIONS REPRESENTATIVE. call: 888-987-4992

Contact

Email: mobility@diversenote.com

Phone: (888) 987-4992

Location

4219 Woodward Ave,

Detroit, MI 48201

 

Monday - Thursday

9am - 6pm