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Start Date Sep 03 2022
More Start Dates
Length
The program length for day and evening classes may vary based on the number of scheduled hours per week. Holidays, school closings, and internship schedules may cause the program completion dates to vary as well.
1 Month
Schedule
The standard classroom schedule is provided here. The clinical internship schedule will vary based on the clinical site. Students must follow their assigned internship schedule, not the AIMS Education class schedule, academic calendar, or the observed holidays and breaks.
Saturday - Sunday
Cost $1,490
Delivery Method Online
Financial Assistance
Other financial aid options may be available for this program (scholarships, training grants, VA benefits, etc.). Please contact our financial aid department to learn more.
Yes

Overview

Learning Path

Career Outlook

Course Overview: 

The Deep Learning with Keras and TensorFlow course helps you master the concepts of artificial neural networks, Keras and Tensorflow frameworks, autoencoders, and deep learning techniques. It enables you to build deep learning models, implement deep learning algorithms and interpret the results.

Course Highlights
  • 34 hours of applied learning
  • Real-life industry-based projects
  • Flexibility to choose classes
  • Dedicated mentoring session from our industry experts
Program Tuition
Application & Registration(Non-Refundable)$75
Study MaterialIncluded
Tuition$1,415
Total Cost$1,490

* Financial assistance available, call 908-222-8055 to learn more.

Course Delivery Method: 

Online Bootcamp– Online self-paced video-based learning and live virtual classroom conducted by a leading coach in the industry. This course includes Integrated lab platform.

Prerequisites: 

To take this Deep Learning with Keras and Tensorflow course, you should have a basic understanding of programming fundamentals, statistics, mathematics, and machine learning concepts.

Skills Covered: 
  • Keras framework
  • TensorFlow framework
  • PyTorch 
  • Image classification
  • Convolutional networks
  • Recurrent neural networks
Learning Path
  • Lesson 1

    Deep Learning with Tensor Flow (Self Learning)

  • Lesson 2

    Deep Learning with Keras and Tensor Flow (Live Classes)

  • Lesson 3

    Practice Projects

Who Will Benefit: 

The Deep Learning with Keras and Tensorflow course is best suited for data analysts, data scientists, statisticians with an interest in deep learning, and software engineers.

Key Learning Outcomes: 
  • Understand the concepts of Keras and TensorFlow, its main functions, operations, and the
  • execution pipeline
  • Implement deep learning algorithms, understand neural networks, and traverse the layers of data abstraction
  • Master and comprehend advanced topics such as convolutional neural networks, recurrent
  • neural networks, training deep networks, and high-level interfaces
  • Build deep learning models using the Keras and TensorFlow frameworks and interpret the results
  • Understand the language and fundamental concepts of artificial neural networks, application of autoencoders, and PyTorch and its elements
  • Troubleshoot and improve deep learning models
  • Build your own deep learning project
  • Differentiate between machine learning, deep learning, and artificial intelligence
Certification Criteria:
  • At least 85 percent attendance of one live virtual classroo
  • A score of at least 75 percent in course-end assessment 
  • Successful evaluation in the course-end project
Upcoming Start Dates
Start DatesScheduleProgram Length
Sep 05, 202210:30 AM - 01:30 PM1 Month
Sep 10, 202211:30 PM - 03:30 AM1 Month
Upcoming Start Dates
Start DatesScheduleProgram Length
December 18, 202110:00 AM - 2:00 PM 1 Month
January 15, 202210:00 AM - 2:00 PM1 Month

Career Outlook

Expected Growth (2019 – 2029)*
  • 15%
Annual Average US Salary*
  • $92,00 - $140,000
Demanding Fields
  • Information Technology
  • Finance
  • Retail
  • Real Estate
  • Engineering
  • Hospitality Management
  • Business Consulting
Job Opportunies for Professionals
  • IT Developers
  • Analytics Managers
  • Information Architects
  • Analytics professionals
  • Experienced professionals
  • Beginners or Recent
          Graduates in Bachelors or
          Master’s Degree

*Salary and job outlook information comes from the US Bureau of Labor Statistics and Projections Central. Employment outcomes are not guaranteed.

Tools covered