Brain Tumor Detection using Deep Learning

  • Start from zero
  • Learn the concepts
  • Develop Brain Tumor Detection using Deep Learning project(s) from scratch
  • Earn smart certificate & showcase skills
  • Batch size of 10 or lower
Next batch starts from 18 Jul!

What you'll receive
  • Brain Tumor Detection project tutorials
    Brain Tumor Detection project

    Get course schedule & learn from experts

  • Learn and build your Static Website   on AWS from anywhere, anytime
    Online Class

    Learn and build your project anywhere, anytime

  • Build your Brain Tumor Detection and showcase your practical skills to the world
    Smart Certificate

    Showcase your practical skills to the world

  • Clear your doubts on Brain Tumor Detection project through dedicated 1-1 sessions
    1-1 Expert Support

    Clear your doubts in dedicated 1-1 sessions

What you'll develop
  • Working Brain Tumor Detection Project
    Working Brain Tumor Detection Project

    Impress your interviewers, teachers and friends

  • Develop technical skills by building Brain Tumor Detection project
    Skills

    Not a 'paper engineer'. Be a real, practical engineer

  • Build portfolio by building Brain Tumor Detection project
    Portfolio

    Projects portfolio. Not bunch of certificates.

  • Grab the best jobs and higher education opportunities by building Brain Tumor Detection project
    A Career

    Grab the best jobs and higher education opportunities

Why develop this Brain Tumor Detection project?

This project-based course gives you an introduction to deep learning.
You will learn to create deep neural networks to predict the brain tumor. As a part of the course, you will also learn about the algorithms that will be used in developing deep neural network projects.

Brain Tumor Detection Project Thumbnail
What you'll learn in this course

In this course, you will understand about deep learning and learn to create a neural network. You will also perform data exploration to understand the brain scan images and take necessary decisions. We will use tools like TensorFlow to solve the complex problem.
By enrolling into this course you will learn about:

  1. Introduction to deep learning
  2. Understanding & building a neural network
  3. Working with TensorFlow and Keras
  4. Preprocessing and exploration of data
  5. Finding and solving the problem with right algorithm

How can you develop this Brain Tumor Detection project?
1) Enroll

Complete enrollment to get the schedule of live classes

2) Learn

You will learn directly from experts 1-1 through online live classes

3) Build

You will use the software & online live training to develop the projects

4) Submit assignment

Complete the course and submit your assignment to get your certificate

Get Started Now
Why wait?
Start learning for free

Signup and try our first few chapters free of cost!
Pay only when you like it.

Have a group?
Enroll together. Pay less
Team of 5 $48 /student
Team of 4 $51 /student
Team of 3 $56 /student
Team of 2 $68 /student
Team of 1 $101 /student

You can also add friends later

Want in your institute?
Organize a Workshop

Our experts will visit your college/ school/ office with the kits and conduct an awesome hands-on workshop.

Learning will not be more fun than this!

Frequently Asked Questions about Brain Tumor Detection project
How to build a Brain Tumor Detection project?

Schedule of live classes will be sent to you within 24 Hours upon enrollment. You will use the software & learn directly from our experts in live classes to develop the Brain Tumor Detection project.
You can enroll for a free demo class to understand how it will help you. Pay only when you are confident and if you like our unique methodology!


How much time do I have to complete the Brain Tumor Detection project?

You need to attend 10 live sessions to learn the concepts and build projects. Each live session lasts for 2 Hours.


Can my friends build along with me?

Ofcourse, and we strongly encourage that. The course is fun and learning is more effective when you work together, learn together and build together!

  • A team can have maximum of 5 members.
  • All team members will get separate logins and certificate.

Am I eligible for this course?

Anybody interested in machine learning and deep learning can enroll into this course. This course is also suitable for beginners who are interested in developing knowledge on neural networks and deep learning.


Who will clarify my doubts?

During the live classes, you can clarify your doubts with our experts. Since they are live sessions, you can ask as many questions as needed any number of times!


When will the classes be scheduled?

Once you complete enrollment, your mentor will reach out to you regarding the live classes schedule. Generally the live classes will be scheduled during the evenings and weekends.


What if I miss a live class?

Since it is a live class, even if you miss it you can attend the same class in the next available slot or you can refer to the recorded session sent after each live class.


Why should I choose Skyfi Labs?

Skyfi Labs, a venture by IIT Kanpur alumni, was founded with a motive to make learning by building projects super easy for students all across the globe. Training 2,50,000+ students across 30+ countries, Skyfi Labs got prestigious awards like 2nd Best Business Venture Award, Ideas, IIT Kanpur | 30 Most Promising Startups, Next Big Idea, IIM Bangalore | Runner-up, UnLtd India Growth Challenge etc. Our courses have also been in the curriculum of IIT Delhi for the last 5 years. With such an experience, you can be rest assured that you will get quality project training from Skyfi Labs.
If you still dont like it, dont worry. We offer 100% refund if you apply within 3 days of receiving the course access.


How can I contact Skyfi Labs?

Please feel free to contact us in case of any queries. Email: info@skyfilabs.com, Toll-free: 18001237177 (10AM - 8PM; Mon - Sat)
We prefer email contact as that can be replied by the right expert who can answer your question!


What is included in the fee?

The fee you pay includes:

  • Course content
  • Charges for the technical support

Upon payment, we will also provide you with a tax invoice for the above mentioned.

Any more questions?