Deep Learning Fundamentals with Keras

BY
IBM via Edx

Get enrolled in Deep Learning Fundamentals with Keras online programme to familiarise yourself with Deep Learning and learn about building a model using Keras.

Lavel

Intermediate

Mode

Online

Duration

5 Weeks

Fees

Free

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based
Learning efforts 2-4 Hours Per Week

Course overview

The Deep Learning Fundamentals with Keras online course by edX is designed to familiarise you with the domain of Deep Learning. It is a five-week-long programme, during which you will learn about the basics of various Deep Learning models, the fundamentals of neural networks, and some of the most interesting Deep Learning applications.

Through the Deep Learning Fundamentals with Keras certification course, you will get practical experience, building a Deep Learning model with the powerful and easy-to-use Keras library. Also, you will develop an understanding of unsupervised and supervised Deep Learning models.

The Deep Learning Fundamentals with Keras certification syllabus is divided into four extensive modules. You are required to devote merely two to four hours every week to your studies.  As you progress across the modules, you acquire in-depth knowledge of how Keras is used to train, test and build Deep Learning models. Moreover, you will understand how neural networks learn. Upon completion, you can also get the verified certificate and earn a skill badge to showcase your acquired knowledge if you pursue it by paying free. For free, you can get a limited duration of access to the course. 

The highlights

  • Video lectures in English
  • Offered by IBM
  • Data Analysis and Statistics course
  • Two to four hours of weekly dedication
  • Free access
  • Skill badges awarded
  • Fiver-week programme
  • Self-directed learning
  • Intermediate-level programme
  • Paid e-certificate obtainable

Program offerings

  • Four modules
  • Five-weeks training
  • Comprehensive curriculum
  • Free programme access
  • Video lectures
  • Paid certification
  • Industry expert instructor
  • Self-paced learning
  • Ibm’s offering

Course and certificate fees

Type of course

Free

  • Enrolment in the Deep Learning Fundamentals with Keras program is free of charge.
  • In case you want the certification, you must submit a fee of Rs. 8,267.

Deep Learning Fundamentals with Keras course fee structure

Course option

Fee in INR

Deep Learning Fundamentals with Keras (course content audit)

Free

Deep Learning Fundamentals with Keras (content + certification)

Rs. 8,267 

certificate availability

Yes

certificate providing authority

IBM

certificate fees

₹8,267

Eligibility criteria

It is mandatory to know partial derivatives and Python programming for joining the Deep Learning Fundamentals with Keras programme by edX. Additionally, you should have some experience of Machine Learning with Python.

What you will learn

Knowledge of deep learning

By the end of the Deep Learning Fundamentals with Keras training, you will be fluent in:

  • Neural networks and how they learn and upgrade their biases and weights
  • Creating a regression model using the Keras library
  • Supervised Deep Learning models, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks
  • Applications of Deep Learning
  • Why it’s beneficial to leverage your deep learning skills
  • The vanishing gradient problem
  • Building a classification model using Keras
  • Building a CNN using Keras
  • Activation functions
  • Unsupervised learning models like autoencoders

The syllabus

Module 1

Introduction to Deep Learning
  • Introduction to Deep Learning
  • Biological Neural Networks
  • Artificial Neural Networks - Forward Propagation

Module 2

Artificial Neural Networks
  • Gradient Descent 
  • Vanishing Gradient 
  • Backpropagation 
  • Activation Functions

Module 3

Deep Learning Libraries
  • Introduction to Deep Learning Libraries
  • Regression Models with Keras
  • Classification Models with Keras

Module 4

Deep Learning Models
  • Shallow and Deep Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Autoencoders

Admission details

Step 1 – Reach the Deep Learning Fundamentals with the Keras course website.

Step 2 – Find the session dates near the top of this page, and choose a session that suits you. Then, click on the ‘Enroll now’ tab to begin the signup process.

Step 3 – Create a new edX account by filling in your basic information and clicking the ‘Create account’ button. You can also sign in by linking either of these accounts – Apple, Google, Facebook, or Microsoft. If you have an edX-registered password and email, you can use them to log in too.

Step 4 – After completing the registration procedure, you will be enrolled in the Deep Learning Fundamentals with Keras course by edX. Next, you must specify whether you want to continue learning with the free path or buy the paid plan.


Filling the form

There is no application form for gaining admission in the Deep Learning Fundamentals with Keras online training. You can join the course quickly by logging on to edX’s website and registering for a profile. While creating the new ID, you need to provide basic details, including your full name, email address, country and username. Finally, you must enter a new password for signing in securely. Alternatively, you can sign up through an existing social account, such as Facebook, Apple, Microsoft, or Google.

How it helps

As Artificial Intelligence (AI) becomes more widespread, Deep Learning practitioners’ demand and salaries are growing. The Deep Learning Fundamentals with Keras course by edX offers you extensive knowledge of Deep Learning for a fulfilling career.

Moreover, the Deep Learning Fundamentals with Keras certification programme is purely self-paced. You will have complete access to high-quality video lectures from an expert instructor that you can watch at your convenience. The official certificate you receive upon completion will carry IBM’s logo, the instructor’s sign, and you can attach this to your CV/LinkedIn for recruitment boosts.

Instructors

Mr Alex Aklson

Mr Alex Aklson
Data Scientist
IBM

Ph.D

FAQs

Are there any enrolment prerequisites for the Deep Learning Fundamentals with Keras course?

Yes, you should be familiar with partial derivatives and Python programming. Furthermore, knowledge of Machine Learning with Python is required.

Who certifies this programme?

The Deep Learning Fundamentals with Keras course is certified by IBM.

Is there any hidden fee for enrollment?

No, you can enrol in the Deep Learning Fundamentals with Keras programme for absolutely free.

Who will be my instructor for the Deep Learning Fundamentals with Keras course?

Alex Aklson, a Ph.D. and Data Scientist at IBM, will be your expert instructor for the programme.

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