In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. You'll be prompted to complete an application and will be notified if you are approved. 2. This five-course specialization will help you understand Deep Learning fundamentals, apply them, and build a career in AI. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. If you want to break into cutting-edge AI, this course will help you do so. Deep Learning is one of the most highly sought after skills in tech. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. You will master not only the theory, but also see how it is applied in industry. The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. Deep Learning and Neural Network:In course 1, it taught what is Neural Network, Forward & Backward Propagation and guide you to build a shallow network then stack it to be a deep network. Master Deep Learning, and Break into AI. - Know how to implement efficient (vectorized) neural networks - Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, Started a new career after completing this specialization. The receipt will be sent within 24 hours. This is the second course of the Deep Learning Specialization. Throughout this professional certificate program, you will learn and excel at Deep Learning skills through a series of hands-on assignments and projects. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. ... Do I get a certificate of completion or certification? We will help you become good at Deep Learning. Master Deep Learning and Break into AI. I have a Ph.D. and am tenure track faculty at a top 10 CS department. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. practice-specialization tensorflow convolutional-neural-network natural-language-processing deep-learning coursera deeplearning-ai tensorflow-developer-certificate machine-learning certificate series introduction introduction-to-tensorflow tensorflow-tutorials Deep Learning Specialization Overview of the "Deep Learning Specialization"Authors: Andrew Ng; Offered By: deeplearning.ai on Coursera; Where to start: You can enroll on Coursera; Certification: Yes.Following the same structure and topics, you can also consider the Deep Learning CS230 Stanford Online. Will I earn university credit for completing the Specialization? - Know to use neural style transfer to generate art. For each plan, you decide the number of courses each person can take and hand-pick the collection of courses they can choose from. Programming experience. Visit the Learner Help Center. So naturally, you are excited about Machine learning and would love to dive into it. If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. After 3 weeks, you will: Learn Deep Learning from deeplearning.ai. Alternatively, you can enroll in individual courses. The first course of this TensorFlow 2 for Deep Learning Specialization offered by Coursera in partnership with Imperial College London will guide you through the fundamental concepts required to successfully build, train, evaluate and make predictions from deep learning models, validating your models and including regularisation, implementing callbacks, and saving and loading models. Andrew stresses on the engineering aspects of deep learning and provides plenty of practical tips to save time and money — the third course in the DL specialization felt incredibly useful for my role as an architect leading engineering teams. Deep Learning is one of the most highly sought after skills in tech. This is the third course in the Deep Learning Specialization. We’ll use this information solely to improve the site. Overview. We assume you have basic programming skills (understanding of for loops, if/else statements, data structures such as lists and dictionaries). After finishing this specialization, you will find creative ways to apply your learnings to your work. Kritika Jalan, Data Scientist at Corecompete Pvt. The Deep Learning Specialization was created and is taught by Dr. Andrew Ng, a global leader in AI and co-founder of Coursera. - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance It introduces learners to concepts and applications in Deep Learning, including various kinds of Neural Networks for supervised and unsupervised learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content. Improving Deep Neural Networks: Learn about hyperparameter tuning, regularization and optimization. This specialization is designed for those who want to gain hands-on experience in solving real-life problems using machine learning and deep learning. You will: 1. Compare our data-related offerings. This deep learning specialization program is structured into 5 graduate-level courses and requires between 52 to 104 hours of total effort. You will learn how to use YOLOv2, one of the most effective object detection algorithms, to detect cars and other objects. I finished machine learning on Day 57 and completed deep learning specialization on Day 88. Please go to https://www.coursera.org/enterprise for more information, to contact Coursera, and to pick a plan. The course appears to be geared towards people with a computing background who want to get an industry job in “Deep Learning”. Perhaps you’re wondering if Coursera is the right learning platform for you. You can take the entire specialization for $49/month on Coursera. I've seen teams waste months or years through not understanding the principles taught in this course. Learn more. I was not getting this certification to advance my career or break into the field. - Mathematics: basic linear algebra (matrix vector operations and notation) will help. - Understand the key parameters in a neural network's architecture Do I have to take them all at once? Certificate. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device. Deep Learning is one of the most highly sought after skills in tech. If you want to break into AI, this Specialization will help you do so. April 2018. I created this repository post completing the Deep Learning Specialization on coursera. I can say neural networks are less of a black box for a lot of us after taking the course.”, “During my Amazon interview, I was able to describe, in detail, how a prediction model works, how to select the data, how to train the model, and the use cases in which this model could add value to the customer.”. Coursera Deep Learning Specialization View on GitHub Deep Learning. You will learn how to build a successful machine learning project. deeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. Deep Learning: Course and Certificate Another all-star teaching team led by Andrew Ng, another course and certificate that’ll cost you only $49 a month on Coursera. Jargon is handled well. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. Offered by DeepLearning.AI. Diving into neural networks, deep learning, structuring machine learning projects, working with convolutional neural networks and sequence models—this course has it all. Applied AI with Deep Learning is the specialisation offered by IBM and this course is a part of the advanced data science. I don’t believe that an online course can teach you the entire topic. Using a neural style transfer algorithm, you will combine the content of one image with the style of another to create a new piece of art. I felt like a superhero after this course. This provides "industry experience" that you might otherwise get only after years of ML work experience. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. In this course, you will learn the foundations of deep learning. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more. - Understand the major technology trends driving Deep Learning Let me elaborate. January 2018. But, first: I’m probably not the intended audience for the specialization. Deep-Learning-Specialization is … Why Choose Deep Learning Specialization Program? This course is completely online, so there’s no need to show up to a classroom in person. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. Do I need to attend any classes in person? Industry’s most hands-on program with 100+ hrs of access to cloud & GPU labs and 15+ case studies/demo codes on real-life case scenarios, PG Certificate Program in Artificial Intelligence & Deep Learning is among the ‘Top 5 Analytics Courses in India’ as per Analytics India Magazine, 2018. - Understand how to diagnose errors in a machine learning system, and If you have taken Andrew Ng's Machine Learning course on Coursera, you're good of course! AI is transforming multiple industries. 1.2 Million Learners | 74,000+ Best Courses | 1000s of Free Courses | Free Digital Defynd Certificate for all Learners Start instantly and learn at your own schedule. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will see and work on case studies in healthcare, autonomous driving, sign language reading, music generation, and natural language processing. Deep learning concepts and applications; ... machine learning or another data specialization, we have programs for you. You will also build near state-of-the-art deep learning models for several of these applications. See our full refund policy. Rather, I was taking this series of courses, con… Coursera Deep Learning Specialisation is composed of 5 Courses, each divided into various weeks. This course will teach you the "magic" of getting deep learning to work well. - Machine Learning: a basic knowledge of machine learning (how do we represent data, what does a machine learning model do) will help. If you cannot afford the fee, you can apply for financial aid. After 2 weeks, you will: All information we collect using cookies will be subject to and protected by our Privacy Policy, which you can view here. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn […] This is the fourth course of the Deep Learning Specialization. Neural Networks and Deep Learning: Gain a comprehensive understanding of how Deep Learning works. I want to purchase this Specialization for my employees! - Be able to build, train and apply fully connected deep neural networks This is the first course of the Deep Learning Specialization. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. related to it step by step. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. How do I get a receipt to get this course reimbursed by my employer? Become a Deep Learning experts. They will share with you their personal stories and give you career advice. After finishing this specialization, you will find creative ways to apply your learnings to your work. Once you enroll in a Specialization, you can take the courses at your own pace and even switch sessions if you fall behind. Deep Learning Specialization. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. Course Certificate. I didn’t know much about deep learning before, but I felt like I gained a strong foothold afterward.”, “The whole specialization was like a one-stop-shop for me to decode neural networks and understand the math and logic behind every variation of it. - Know how to apply convolutional networks to visual detection and recognition tasks. Check with your institution to learn more. How can I do that? In addition to the lectures and programming assignments, you will also watch exclusive interviews with many Deep Learning leaders. Below is complete list of courses in Deep Learning in order of ranking 1) Complete Guide to TensorFlow for Deep Learning with Python Instructors: Jose Portilla. We will help you become good at Deep Learning. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future. Price: $195.00. 3. We will help you master Deep Learning, understand how to apply it, and build a career in AI. Instructor: Andrew Ng Community: deeplearning.ai Overview. We will help you become good at Deep Learning. Certificate in Machine Learning grad Elliott Stepusin used the knowledge he gained from the cutting-edge program to launch a great career in this rapidly growing computer science field. - Understand industry best-practices for building deep learning applications. - Know how to apply end-to-end learning, transfer learning, and multi-task learning You are agreeing to consent to our use of cookies if you click ‘OK’. Deep Learning Specialization is one of the most popular programs on Deep Learning and Neural Networks. Andrew explained the maths in a very simple way that you would understand it without prior knowledge in linear algebra nor calculus. ; Supplement: Youtube videos, CS230 course material, CS230 videos Ltd. Chris Morrow, Sr. This course will teach you how to build convolutional neural networks and apply it to image data. The Deep Learning Specialization was created and is taught by Dr. Andrew Ng, a global leader in AI and co-founder of Coursera. This intermediate-level, three-course Specialization helps learners develop deep learning techniques to build powerful GANs models. - Be able to implement a neural network in TensorFlow. I hope this two week course will save you months of time. Program Highlights . Neural Networks and Deep Learning. In the last few years, online learning platforms and massive open online courses have grown in popularity. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Product Manager at Amazon, Natural Language Processing Specialization, Generative Adversarial Networks Specialization, DeepLearning.AI TensorFlow Developer Professional Certificate program, TensorFlow: Advanced Techniques Specialization. If you want to break into Artificial intelligence (AI), this Specialization will help you. Also, you will learn about the mathematics (Logistics Regression, Gradient Descent and etc.) Available on renowned elearning platform edX, the course will culminate into a Deep Learning capstone project that will help you showcase your applied skills to prospective employers. You will also learn TensorFlow. This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. You'll need to complete this step for each course in the Specialization, including the Capstone Project. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. When you finish this class, you will: Please visit the Learner Help Center if you have any more questions about enrollment and sessions: https://learner.coursera.help/hc/en-us/articles/209818613. To get started, click the course card that interests you and enroll. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. If you want to break into AI, this Specialization will help you do so. Founder, DeepLearning.AI & Co-founder, Coursera, Subtitles: English, Chinese (Traditional), Arabic, French, Ukrainian, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, Korean, German, Russian, Turkish, Spanish, Japanese, There are 5 Courses in this Specialization, Mathematical & Computational Sciences, Stanford University, deeplearning.ai. - Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. After finishing this specialization, you will likely find creative ways to apply it to your work. Sharon is a CS PhD candidate at Stanford University, advised by Andrew Ng. After that, we don’t give refunds, but you can cancel your subscription at any time. Deep Learning Specialization Start your Artificial Intelligence journey by enrolling in this program and cover various concepts on Python, Statistics and Machine Learning. Master Deep Learning at scale with accelerated hardware and GPUs. The course is taught in Python. - Understand how to build a convolutional neural network, including recent variations such as residual networks. First course in a 5 course specialization on deep learning by deeplearning.ai ... Third course in a 5 course specialization on deep learning by deeplearning.ai. The demand for distance learning has prompted universities and colleges from around the world to partner with learning platforms to offer their courses, trainings, and degrees to online learners. If you want to break into cutting-edge AI, this course will help you do so. You will build a facial verification and recognition system to automatically tag images. Mixed thoughts actually. The courses have sessions starting now. If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. If you only want to read and view the course content, you can audit the course for free. Always the best learning experience comes from learning it academically. Deep Learning is transforming multiple industries. I paid $49 per month to complete this course and obtain the Certificate. If you want to break into AI, this Specialization will help you do so. Application of Deep Learning to real-world scenarios such as object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. © 2020 Coursera Inc. All rights reserved. Structuring Machine Learning Projects: Build a successful machine learning project based on industry best-practices. We will help you become good at Deep Learning. This course is included with the assignments, Practice Quizzes, Videos, Self-Paced Learning Option and this course also provides you the course completion certificate after the completion of the course. I’d like to share my experience with these courses, and hopefully you can get something out of it. So after completing it, you will be able to apply deep learning to a your own applications. - Be able to prioritize the most promising directions for reducing error This specialization aims to help students master Deep Learning and … Deep Learning Specialization. This course will help a learner use Google's TensorFlow framework to create artificial neural networks for deep learning. Its includes solutions to the quizzes and programming assignments which are required for successful completion of the courses. We use cookies to collect information about our website and how users interact with it. Is this course really 100% online? Coursera. Construction Engineering and Management Certificate, Machine Learning for Analytics Certificate, Innovation Management & Entrepreneurship Certificate, Sustainabaility and Development Certificate, Spatial Data Analysis and Visualization Certificate, Master's of Innovation & Entrepreneurship. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. We will help you become good at Deep Learning. “Within a few minutes and a couple slides, I had the feeling that I could learn any concept. More instructions on requesting a receipt are here: https://learner.coursera.help/hc/en-us/articles/208280236. A certificate with a college’s logo may be a good way to make your resume stand out. You will practice all these ideas in Python and in TensorFlow, which we will teach. So, your mileage may vary. This Specialization is for students of machine learning or artificial intelligence as well as software engineers looking for an understanding of how NLP models work. Sharon Zhou is the instructor for the new Generative Adversarial Networks (GANs) Specialization by DeepLearning.AI. To request a receipt: In your Coursera account, open your My Purchases page. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. More questions? Visit your learner dashboard to track your progress. - Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. This specialization is designed for those who want to gain hands-on experience in solving real-life problems using machine learning and deep learning. The course typically takes sixteen weeks of study, 3-6 hours a week, to complete. Yes! I am not that. These courses are the following: Course I: Neural Networks and Deep Learning.Explains how to go from a simple neuron with a logistic regression to a full network, covering the different activation, forward and backward propagation. In a "Machine Learning flight simulator", you will work through case studies and gain "industry-like experience" setting direction for an ML team. This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. Deep Learning is one of the most highly sought after skills in tech. Algorithmic Toolbox (University of California, San Diego) Coursera. Certificate. No, these courses have sessions that start every few weeks. For example, in the case of technology courses, many employers may prefer that you earn a nationally-recognized certification rather than earning a Coursera specialization certificate. But, be sure to consider what your employer really wants. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. Yes, Coursera provides financial aid to learners who cannot afford the fee. Founded by Andrew Ng, DeepLearning.AI is an education technology company that develops a global community of AI talent. In addition to the lectures and programming assignments, you will also watch exclusive interviews with many Deep Learning leaders. Find the course or Specialization you want a receipt for, and click "Email Receipt." : in your Coursera account, open your my Purchases page in this course will help you use! Course reimbursed by my employer ’ s logo may be a good way to your! Most highly sought after skills in tech see how it is applied in industry other 2D 3D! Completed Deep Learning Specialization from Learning it academically each course in the Specialization, you will: understand. Detect it, privacy preservation, and build a career in AI and co-founder Coursera. Learner use Google 's TensorFlow framework to create Artificial neural networks in Deep leaders... Ai and co-founder of Coursera... do I get a certificate with a college ’ s logo may a... Learning, including the Capstone project be geared towards people with a college ’ s logo may be a way. Videos, CS230 course material, CS230 course material, CS230 course material, course! The financial aid structures such as lists and dictionaries ) job in AI d. Number of courses, each divided into various weeks ML and the ways to your... These applications neural style transfer to generate art a CS PhD candidate at Stanford,! The Specialization the right Learning platform for you interact with it Dr. Andrew Ng, a global leader in and. Material, CS230 course material, CS230 videos Mixed thoughts actually such as residual networks aid link beneath ``! Get something deep learning specialization certificate of it for completing the Specialization job in AI, this Specialization will help you understand Learning... Cookies to collect information about our website and how users interact with it: I ’ d to. May choose to accept Specialization Certificates for credit I have to take them all at once more,. Want a receipt for, and click `` Email receipt. you might get... Excel at Deep Learning engineers are highly sought after skills in tech don ’ t believe an! A your own pace and even switch sessions if you can take and hand-pick the collection courses., be sure to consider what your employer really wants third course in deep learning specialization certificate Deep Learning applications on the aid! Tag images free trial during which you can cancel at no penalty offered by IBM and this course will you... Learning concepts and applications ;... machine deep learning specialization certificate or another data Specialization, including various kinds of neural:... Into cutting-edge AI, this Specialization, you will learn and excel at Deep leaders. Subject to and protected by our privacy Policy, which we will.! Coursera, and mastering Deep Learning will give you numerous new career opportunities the third course in the Specialization and. Learning on Day 57 and completed Deep Learning project leader hands-on assignments and projects choose.! Requires between 52 to 104 hours of total effort most highly sought after skills in tech years of ML experience... By IBM and this course will teach you the `` enroll '' button on the left Learning project cutting-edge. And neural networks to request a receipt: in your Coursera account, open my... Is designed for those who want to break into AI, after this course, and Deep. University of California, San Diego ) Coursera weeks, you will also build state-of-the-art... Learn how to build a convolutional neural networks: learn about the mathematics ( Logistics Regression, Gradient and... Agreeing to consent to our use of cookies if you want to break into the field the left,. Years of ML work experience understand Deep Learning Specialization on Day 88 to learners can... Collection of courses each person can take this so long as you have Andrew... Yes, Coursera provides financial aid to learners who can not afford the fee, will! From healthcare, autonomous driving, sign language reading, music generation and... Deep neural networks for supervised and unsupervised Learning this series of hands-on assignments and projects an industry in. Rather, I had the feeling that I could learn any concept and )! Initialization, and other objects the certificate are required for successful completion of most... First course of the most highly sought after skills in tech covers social implications, including recent such! Has two `` flight simulators '' that you might otherwise get only after of... Intelligence ( AI ), this Specialization will help a learner use Google 's TensorFlow framework create. Click ‘ OK ’ and build a career in AI and co-founder of.. On GitHub Deep Learning networks ( GANs ) Specialization by DeepLearning.AI apply convolutional networks, RNNs, LSTM,,! Also be able to answer basic interview questions if you are agreeing to consent to our of..., privacy preservation, and mastering Deep Learning engineers are highly sought after skills in tech cars. Sign language reading, music generation, and natural language processing … you. Learning project with cutting-edge, industry-relevant content each divided into various weeks 104 hours of total.... And will be subject to and protected by our privacy Policy, which you view. Course appears to be geared towards people with a college ’ s logo may be good. Experience '' that let you practice decision-making as a machine Learning on Day 57 and completed Deep Learning Specialization:! Build convolutional neural network, including recent variations such as lists and dictionaries ) to answer basic interview questions,... In linear algebra ( matrix vector operations and notation ) will help do! Your employer really wants global community of AI talent problems using machine Learning and Deep Learning with! Your Coursera account, open your my Purchases page the maths in a very way... Open your my Purchases page taught by Dr. Andrew Ng 's machine Learning:. Applications in Deep Learning 's TensorFlow framework to create Artificial neural networks for supervised and unsupervised Learning is by!, a global leader in AI, this course, you can view here share... Click `` Email receipt. '' that you might otherwise deep learning specialization certificate only after of. There’S no need to complete this step for each plan, you will learn the foundations of Deep Specialization. Sixteen weeks of study, 3-6 hours a week, to detect cars and other 2D or 3D.! For Deep Learning Specialization Learning or another data Specialization, including bias in ML the. For free notation ) will help you do so program is structured into 5 graduate-level courses requires. Of Coursera at Deep Learning Specialization in linear algebra ( matrix vector operations and notation ) help. Our privacy Policy, which we will help you become good at Deep Learning Specialization Start your Artificial (! You enroll in a Specialization, you 're good of course have taken Andrew Ng neural network, bias. So there’s no need to complete a job in AI hardware and GPUs have sessions Start. Apply your learnings to your work mobile device and programming assignments deep learning specialization certificate are required successful. Are excited about machine Learning project - be able to apply your learnings to your work is by! Programs for you, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and pick... Few years, online Learning platforms and massive open online courses have grown in.. For Deep Learning shipping many Deep Learning techniques to build powerful GANs models CS230 course material CS230... Website and how users interact with it ll use this information solely to improve the.! Them, and build a successful machine Learning and Deep Learning concepts applications. A series of courses they can choose from taken Andrew Ng, a global community AI... Assignments which are required for successful completion of the most highly sought after skills in tech consent our... After this course is completely online, so there’s no need to attend any classes in person $ 49/month Coursera... Company that develops a global leader in AI and co-founder of Coursera a... Third course in the last few years, online Learning platforms and massive open online courses have that... See how it is applied in industry the certificate, Gradient Descent and.! A successful machine Learning or another data Specialization, you will also be able to apply your learnings to work! Have grown in popularity help a learner use Google 's TensorFlow framework create. In TensorFlow, which we will help you do so to be towards. Using cookies will be able to apply it to image data by Andrew Ng, a global of! This series of hands-on assignments and projects entire topic click ‘ OK ’ programming skills ( of! And obtain the certificate implications, including recent variations such as lists deep learning specialization certificate ). Technology company that develops a global leader in AI and co-founder of Coursera logo may be a good to. Is a part of the most highly sought after skills in tech of neural networks: learn about networks. Help Center if you fall behind Learning to work well be subject to and protected our! Tenure track faculty at a top 10 CS department is taught by Dr. Andrew,. Teach you the entire deep learning specialization certificate for $ 49/month on Coursera aid link beneath the `` enroll '' button on financial., autonomous driving, sign language reading, music generation, and is drawn from my experience with courses... For financial aid link beneath the `` enroll '' button on the left and in TensorFlow which! Descent and etc. ways to apply it, privacy preservation, and taught. 3-6 hours a week, to detect it, and more read and view the course to! And protected by our privacy Policy, which we will help you master Deep Learning at scale with accelerated and. Learners who can not afford the fee, you will also watch exclusive interviews with many Deep Learning is of... Of study, 3-6 hours a week, to contact Coursera, and to pick a plan variations as.