Start Date November 10, 2021
More Start Dates
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
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.
Monday - Friday
Cost $749
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.
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
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 Simpliearn’s Integrated lab platform.


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

    Course Introduction

  • Lesson 2

    Introduction to Big Data and Hadoop

  • Lesson 3

    Hadoop Architecture,Distributed Storage (HDFS) and YARN

  • Lesson 4

    Data Ingestion into Big Data Systems and ETL

  • Lesson 5

    Distributed Processing - MapReduce Framework and Pig

  • Lesson 6

    Apache Hive

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  • Lesson 7

    NoSQL Databases - HBase

  • Lesson 8

    Basics of Functional Programming and Scala

  • Lesson 9

    Apache Spark Next Generation Big Data Framework

  • Lesson 10

    Spark Core Processing RDD

  • Lesson 11

    Spark SQL - Processing DataFrames

  • Lesson 12

    Spark MLLib - Modelling BigData with Spark

  • Lesson 13

    Stream Processing Frameworks and Spark Streaming

  • Lesson 14

    Spark GraphX

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

Career Outlook

Expected Growth (2019 – 2029)*
  • 15%
Annual Average US Salary*
  • $92,00 - $140,000
Demanding Fields
  • Informaon Technology
  • Finance
  • Retail
  • Real Estate
  • Engineering
  • Hospitality Management
  • Business Consulng
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