CAREER-READY NANODEGREE–nd101
Deep Learning
Deep learning is driving advances in artificial intelligence that are changing our world. Enroll now to build and apply your own deep neural networks to produce amazing solutions to important challenges.
- 1 Term
- 4 Months
- Study 12 hrs / week
WHY ENROLL
Become career-ready faster
INDUSTRY SIZE & DEMAND
Deep Learning Market is expected to grow at the CAGR of 52.1% till 2025
JOB OPPORTUNITIES
Demand for AI, DL and ML specialists in the country are expected to see a 60% rise by 2018 due to increasing adoption of automation
RANKED #08 CNBC
Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC
GLOBAL COMMUNITY
Join a global community of over 50,000 Deep Learning Engineers who have learned with Udacity
Our Hiring Partners in Deep Learning
Prerequisites and Requirements
You’ll need intermediate experience with Python to start this program. Some basic knowledge of machine learning is beneficial, although not required, to start this program.
Prepare now with AI Programming with Python.
WHAT YOU LEARN
Study cutting edge Content
Deep Learning Nanodegree
In this term, you’ll build and apply your own deep neural networks to produce amazing solutions to important challenges.
COURSE CONTENT
Best in-class content by industry leaders in the form of bite-size videos and quizzes.
COURSE SYLLABUS
Introduction
Get your first taste of deep learning by applying style transfer to your own images, and gain experience using development tools such as Anaconda and Jupyter notebooks.
Neural Networks
Learn neural networks basics, and build your first network with Python and NumPy. Use the modern deep learning framework PyTorch to build multi-layer neural networks, and analyze real data.
Convolutional Neural Networks
Learn how to build convolutional networks and use them to classify images (faces, melanomas, etc.) based on patterns and objects that appear in them. Use these networks to learn data compression and image denoising.
Recurrent Neural Networks
Build your own recurrent networks and long short-term memory networks with PyTorch; perform sentiment analysis and use recurrent networks to generate new text from TV scripts.
Generative Adversarial Networks
Learn to understand and implement a Deep Convolutional GAN (generative adversarial network) to generate realistic images, with Ian Goodfellow, the inventor of GANs, and Jun-Yan Zhu, the creator of CycleGANs.
Deploying a Sentiment Analysis Model
Train and deploy your own PyTorch sentiment analysis model. Deployment gives you the ability to use a trained model to analyze new, user input. Build a model, deploy it, and create a gateway for accessing it from a website.
PROJECTS
Industry relevant projects + unlimited project reviews by our global reviewers
PROJECT 1
Predicting Bike-Sharing Patterns
PROJECT 2
Dog-Breed Classifier
PROJECT 3
Generate TV scripts
PROJECT 4
Generate Faces
PROJECT 5
Deploying a Sentiment Analysis Model
SERVICES
We guide and support you throughout your learning journey through these services.
Knowledge
Search-based Q&A forum
Study Groups
Collaborate with Fellow Students
Project reviews & feedback
Receive actionable feedback from expert project reviewers until you get your code right!
Your Nanodegree journey
ENROLL IN NANODEGREE PROGRAM
enroll by 13 Feb 2019
BRUSH UP ON PRE-REQUISITES
while you wait for classroom to open, brush up on pre-requisites
CLASSROOM OPENS
classroom will open on 13 Feb 2019
In case you feel unsure about the program, we offer a full refund on cancelling within 7 days of classroom opening.SUBMIT PROJECTS
submit all projects within 4 months
COMPLETE NANODEGREE PROGRAM
finish requirements for graduation
GRADUATE
You are eligible to take part in our career fest Propel.
INSTRUCTORS
Learn from top Industry Experts
Mat Leonard
PROGRAM LEAD
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
Luis Serrano
CURRICULUM LEAD
Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
Alexis Cook
INSTRUCTOR
Alexis is an applied mathematician with a Masters in computer science from Brown University and a Masters in applied mathematics from the University of Michigan. She was formerly a National Science Foundation Graduate Research Fellow.
Ortal Arel
INSTRUCTOR
Ortal Arel is a former computer engineering professor. She holds a Ph.D. in Computer Engineering from the University of Tennessee. Her doctoral research work was in the area of applied cryptography.
Arpan Chakraborty
INSTRUCTOR
Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.
CAREER PROSPECTS
Land your dream Deep Learning career
Amazing Job Prospects
Deep Learning has 1000+ jobs posted on Naukri.com in a month
Turbocharge your salary
Deep Learning Engineers earns an average salary in the range of INR 6-20 Lakhs In India
Please upload the updated course
Please, update pytorch!
Please update the course.
Why doesn’t it have the solution videos?
pls ubdate to the new one which uses pytorch
Please update with the new version of this nanodegree which uses PyTorch
Thank you so much for this! Can you upload the Natural Language Processing Nanodegree too?
Pls upload the pytorch one, this is the old one!
This is NOT the new version of the ND..
please share the new version( the one with Pytorch)
how to access GPUs which are only accessable to enrolled students only? any options?
You can use google colab .
This is annoying. It’s just the same old version that has been uploaded before.. Please refresh the course/content.
Direct link Download here :
>>> https://www.file-up.org/ijv7g0w5ps1q
Plz upload springboard ai/ml course guyzz. Price was too high.
They just grabbed it from Torrent and put it here,it isn’t purchased by FCO, hence the use of TensorFlow instead of Pytorch as in the most recent version by Udacity.
Do these courses were a prerequisites or else a full course
this is old one with tensorflow , there is new one by facebook using pytorch please add that
Thanks for the upload. Is it possible to upload courses for Kivy.
Can you please get the updated curriculum?
The quality of this version is great!!! but still uses Keras and tensorFlow in the curriculum instead of the new PyTorch module which is what the current course is teaching
Thank you very much, indeed!
Thank you so much. I just love FTU.
Thanks for bringing the quality educational content for those who can not afford but yet have undesirable thirst for learning.
Hey, do I have to download the previous editions of this course or just downloading this would be sufficient?
please upload this course please please Machine Learning Bootcamp: Become a ML Engineer in 6 months. Job Guaranteed. link:https://www.springboard.com/workshops/ai-machine-learning-career-track/?source=blog&medium=post&campaign=AIC&term=button&content=ai_launch
U guys are just awesome..Thanks a lot!
Hey guyss i have a small doubt should i download the previous deep learning versions before downloading this or does this version contains all the previous version content as well.Sorry if the question is too dumb
Hey guyss i have a small doubt should i download all the previous versions of deep learning versions before downloading this or only downloading this is fine.Sorry if the question is too dumb
I have the same question too. Please respond FCO
Only this version .. this is an enganced one
awesome guyzz. Plz upload springboard ai/ml course guyzzz it was priced too high can’t affoed that much. Thank you so much. keep on doing.
yeah bro …highly priced i need this