Udacity, a pioneer in online education, is building \"University by Silicon Valley\

Udacity

Hello Hackers! Welcome to another series of HackerNoon’s Company of the Week! Each week, we shine a light on a standout company from our Tech Company Database—featuring those driving real change in the tech world and in users' lives. This unique HackerNoon database ranks everything from S&P 500 heavyweights to the year’s most promising startups. Company of the Week! Company of the Week This week, we're thrilled to spotlight Udacity, the trailblazing online learning platform that's been redefining digital talent development for over a decade. Now part of Accenture, Udacity delivers career-ready education at scale, tackling global tech talent shortages head-on with real-world training in AI, data science, programming, digital marketing, and more. Udacity What sets Udacity apart? What sets Udacity apart? Industry-vetted curriculum, hands-on projects, and human mentors who actually work in the fields you want to break into. Whether you're eyeing a role in Silicon Valley or just starting your AI journey, Udacity equips you with the in-demand skills to thrive in today’s evolving tech landscape. Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon Today! Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon Today! Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon Meet Udacity: Fun Fact! Udacity just snagged a Stevie Award for Customer Service & Sales—beating out over 170 global contenders in the Achievement in Customer Service Automation category! 🏆 Their win highlights a major behind-the-scenes effort to create fast, smart, and seamless support for learners around the world. 170 global contenders Achievement in Customer Service Automation They resolved 79,000+ support tickets with an average full resolution time of just 9.5 hours. A multilingual support bot handled over 52,000 interactions (including 32,000+ in Arabic), while automation took care of 30% of all tickets—saving thousands of hours for their team. It’s proof that when it comes to learning, Udacity puts people and performance first. 79,000+ 9.5 hours 52,000 30% Whether you're already based in the top tech companies of Silicon Valley, or just beginning to plan your future in AI, get started with Udacity today! get started with Udacity today get started with Udacity Share Your Company's Story Via HackerNoon Share Your Company's Story Via HackerNoon Share Your Company's Story Via HackerNoon Share Your Company's Story Via HackerNoon Share Your Company's Story Via HackerNoon Udacity 🤝 HackerNoon Business Blogging Udacity Udacity has turned its sights on HackerNoon and has partnered with us for our business blogging program. So far, Udacity’s’s stories have garnered over a whopping 46,000+ reads and counting! blogging program 46,000+ reads Discover Udacity’s Latest Insights on HackerNoon Their stories reveal the quickest and most effective path to gaining job-ready skills for the careers of tomorrow: stories How to Become a Cloud Developer: Requirements, Salary, and Courses
300 Scholarships Up For Grabs at The School of Cloud Computing Courtesy Udacity and SUSE
Here's What You'd Typically See In A Full Stack Developer Job Description
The Lowdown on Udacity's Intro to Cybersecurity Nanodegree How to Become a Cloud Developer: Requirements, Salary, and Courses How to Become a Cloud Developer: Requirements, Salary, and Courses 300 Scholarships Up For Grabs at The School of Cloud Computing Courtesy Udacity and SUSE 300 Scholarships Up For Grabs at The School of Cloud Computing Courtesy Udacity and SUSE Here's What You'd Typically See In A Full Stack Developer Job Description Here's What You'd Typically See In A Full Stack Developer Job Description The Lowdown on Udacity's Intro to Cybersecurity Nanodegree The Lowdown on Udacity's Intro to Cybersecurity Nanodegree Share Your Company's Story Via HackerNoon Share Your Company's Story Via HackerNoon Share Your Company's Story Via HackerNoon Share Your Company's Story Via HackerNoon Share Your Company's Story Via HackerNoon That’s all for this week! See you all in the next series, The HackerNoon Team The HackerNoon Team

Meet Udacity: HackerNoon Company of the Week

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Udacity has teamed up with — a global leader in innovative, reliable and enterprise-grade open source solutions — to help students everywhere get the in-demand skills they need to launch a successful career in cloud native application development. SUSE Cloud Native Architecture (CNA) is a form of tech stack that consists of microservices and cloud technology, and has been described as the future of application development today. The — launching soon — will be our latest addition to the , and the product of our partnership with SUSE. Cloud Native Application Architecture Nanodegree program School of Cloud Computing Along with collaborating to create the Cloud Native Foundations course — the first course of the soon to be released Cloud Native Application Architecture Nanodegree program — SUSE has also worked with us to provide for the program. 300 scholarships How the SUSE Cloud Native Foundations Scholarship Works Udacity and SUSE will welcome 15,000 applicants into the Cloud Native Foundations challenge course. In the first course of the Cloud Native Application Architecture Nanodegree program, students will learn how to structure, package and release an application to a Kubernetes cluster, while using an automated CI/CD pipeline. Once students complete the scholarship challenge, 300 top performers will be selected to receive a full scholarship to the Cloud Native Application Architecture Nanodegree program. Applications for the SUSE Cloud Native Foundations Scholarship Program open April 6, 2021 and close May 25, 2021. Apply today !

300 Scholarships Up For Grabs at The School of Cloud Computing Courtesy Udacity and SUSE

As global organizations move toward digitization and digital transformation becomes the new norm, cyber-attacks have become more common and severe. In fact, since the COVID-19 pandemic, the estimates a 300% rise in reported cybercrimes. FBI’s Internet Crime Complaint Center Additionally, more than realize that they are at risk for cyber attacks. As the need for cybersecurity grows, so does the need for professionals to help corporations shield themselves from attacks. 68% of business leaders In an effort to train the world’s workforce in the careers of the future, including cybersecurity, we’re excited to introduce the to offer a complete career path through our specialized Nanodegree programs — Intro to Cybersecurity, Security Analyst, Security Engineer, and Ethical Hacker —  meant to provide the skills you need to become ready for a job in the cybersecurity field. School of Cybersecurity Prep for Future Jobs In Cybersecurity A called 2020 the “worst year on record” for cybersecurity — 36 billion records were exposed as the result of cyber attacks as of the end of September 2020. Despite this staggering number, it still takes for an organization to identify a cybercrime. recent report from RiskBased Security an average of 207 days Such gaps in cybersecurity create a lot of space for skilled cybersecurity professionals to prevent database breaches. To shore up protection against cybercrime, organizations will invest in more cybersecurity professionals. The (BLS) predicts that jobs in information security will grow by 31% between 2018 and 2028, which is significantly faster than the rate of growth for all jobs (4%) or computer jobs (11%). In fact, predicts that there will be 3.5 million unfilled cybersecurity jobs globally by 2021, up from one million positions in 2014. U.S. Bureau of Labor Statistics Cybersecurity Ventures In short, cybersecurity is a high-demand and high-growth field that is possible to get into from a variety of backgrounds and is an ever-evolving, exciting field. offers a flexible online learning approach that equips students with the knowledge and problem-solving skills — from actual practitioners — that prepare them for the complex and dynamic field of cybersecurity. Udacity’s School of Cybersecurity The School of Cybersecurity offers the following Nanodegree programs: Intro to Cybersecurity This Nanodegree program is perfect for getting started in the high-growth field of Cybersecurity by building foundational skills like how to evaluate, maintain and monitor the security of computer systems. You’ll learn how to assess threats, respond to incidents and implement security controls to reduce risk and meet security compliance goals. offers the right combination of structured content and real-life projects to prepare you for the challenges faced by global organizations. The Introduction to Cybersecurity Nanodegree program Security Analyst Earlier this year we . The program is designed to help you learn the skills that will help you identify, correct, and respond quickly to security weaknesses and incidents. launched the Security Analyst Nanodegree program The Nanodegree program comes with an array of projects, requiring you to act as a security analyst and plan for security controls, identify threats, execute a vulnerability assessment, and develop an Intrusion Detection System. These projects provide hands-on experience to make you ready for jobs in cybersecurity. Security Engineer For those interested in cybersecurity engineering, the gives students the real-world experience they’ll need to be ready for the first day of their new job. Security Engineer Nanodegree program This program will help you master the foundational skills necessary to become a successful Security Engineer. The program focuses on how to protect a company’s computer systems, networks, applications, and infrastructure from security threats or attacks. Ethical Hacker The will equip students with the skills they need to advance their cybersecurity careers and become ethical hackers or penetration testers. Ethical Hacker Nanodegree program Through our industry-designed course structure and real-world projects, you will learn how to find and exploit vulnerabilities and weaknesses in various systems, build-out and execute a penetration testing plan and report on findings using evidence from the project. Begin Your Career in Cybersecurity Now According to , the average base salary of a cybersecurity engineer is $99,834 which can go up to $130,000. This means that there is a lot of opportunities to grow and earn in this field. Glassdoor If you want to begin your career in cybersecurity then check out our and enroll in your favorite Nanodegree program now. School of Cybersecurity

Become a Skilled Cybersecurity Professional with Udacity’s School of Cybersecurity

Security and data breaches are a growing concern globally. Believe it or not, in the 10 biggest data breaches in the first half of 2020. The data could be anything ranging from Social Security numbers to your credit card details to something as personal as a medical record. more than 3.2 million records were compromised That’s why cybersecurity is top of mind for every company around the world. With the increasing number of data breaches  — — the has become vital. In fact, the need for cybersecurity specialists has become so paramount, that according to the US Bureau of Labor Statistics, the occupation is projected to grow at a much faster rate — more than 30% between 2018 and 2028 —  than the average of all other occupations. up 54% in 2019 role of a cybersecurity professional As demand for cybersecurity specialists reaches a fever pitch, Udacity is excited to announce the release of the all-new — created in collaboration with SecurityScorecard — a great start for anyone interested in this critical field. Introduction to Cybersecurity Nanodegree program Prep for Future Jobs with our Introduction to Cybersecurity Nanodegree program This Nanodegree program prepares students with a strong foundation in cybersecurity skills and knowledge. The program is a great start in the Cybersecurity field or a great supplement for IT professionals looking to build stronger Cybersecurity skills. The Nanodegree program fills in the gap in hands-on skills-based training in the field of cybersecurity. Currently, there are many university or college-level programs focused on the theory of cybersecurity without addressing the practical application of that theory; boot camps could provide practical training, but it comes with a very high price tag. Udacity’s Nanodegree program fills that gap by offering the right balance of structured content and practitioner-level skills for existing cybersecurity professionals. Our project-based learning approach prepares students for the real-world problems faced by organizations globally. Data breaches and security threats are a growing concern and with this program, you will not only learn the fundamentals of cybersecurity but also get to implement and test them in a real-world context. Here’s what you’ll learn in the Introduction to Cybersecurity Nanodegree program: COURSE 1: Cybersecurity Foundations This foundations course explains security fundamentals including core principles, critical security controls, and the best practices. PROJECT 1: Securing a Business Network Investigate and fix security issues on a Windows 10 client system as a way of demonstrating fundamental cybersecurity knowledge, skills, and abilities. COURSE 2: Defending and Securing Systems Get exposed to a diverse group of technologies that will provide or enhance the skills needed to enter the field. : PROJECT 2 Monitoring and Securing Douglas Financials Inc. Analyze Windows and Linux servers and report recommendations on OS hardening, compliance issues, encryption, and network security for Douglas Financials Inc. COURSE 3: Threats, Vulnerabilities, and Incident Response Learn how to identify security threats and gaps, fix issues, and respond to inevitable attacks. : PROJECT 3 Navigating a Cybersecurity Incident Apply the skills you have acquired to navigate a potential cyber incident threatening a hospital. : COURSE 4 Governance, Risk, and Compliance Learn about the functions of Governance, Risk, and Compliance and how each function operates alongside operational controls to strengthen an organization’s security. : PROJECT 4 Create the SwiftTech GRC Program As a brand new GRC analyst for SwiftTech, you’ll need to understand the business quickly and improve their GRC documentation to help support the organization’s goals. This program is great for IT professionals, risk analysts, and QA engineers who need to build foundational Cybersecurity knowledge, though any individual with basic familiarity of network connectivity and operating systems would also benefit from these critical skills. Partnering with Industry-leader SecurityScorecard Udacity has partnered with SecurityScorecard to bring industry-relevant cybersecurity skills training to students and businesses globally, starting with the Introduction to Cybersecurity Nanodegree program. “Our goal at Udacity is to train the world’s workforce in the in-demand careers of the future, and cybersecurity is a critical industry that’s experiencing a significant gap between demand for and supply of qualified professionals,” said Alper Tekin, Chief Product Officer at Udacity. “We’re excited and proud to partner with SecurityScorecard to bring practical cybersecurity skills training to students and companies across all industries, to answer the massive demand for cybersecurity professionals.” is the global leader in cybersecurity ratings and the only service with over a million companies continuously rated. Founded in 2013 by security and risk experts Dr.Aleksandr Yampolskiy and Sam Kassoumeh, SecurityScorecard’s patented rating technology is used by over 1,000 organizations for enterprise risk management, third-party risk management, board reporting, due diligence, and cyber insurance underwriting. SecurityScorecard “We are thrilled to partner with Udacity to bring easily accessible cybersecurity education to the public,” said Aleksandr Yampolskiy, CEO and co-founder of SecurityScorecard, the global leader in security ratings. “Our company mission is to make the world a safer place. By partnering with Udacity we are making additional progress on this journey and helping to facilitate the development of future and current cybersecurity professionals. The world needs skilled security practitioners and we’re happy to join Udacity in this endeavour.” Learn About Cybersecurity with the Best Instructors This program has been created in collaboration with some of the top professionals and academics in the industry. , CEO, Cyber-AAA Ron Woerner , Information Security Engineer, University of Alabama, Birmingham Jerry Smith , CEO, Cyber Pop-Up Christine Izuakor , Senior Director, Security and GRC, Business Wire Sean Pike Industry-wide Demand for Cybersecurity Specialists on the Rise According to Microsoft’s , there are upwards of 744,000 cybersecurity professionals today, but cybersecurity roles are expected to grow 750% in the next five years, amounting to almost 6.4 million jobs and not nearly enough qualified cybersecurity professionals to fill them. research of qualified applicants, that typically translates to big advantages for those job-seekers. For example, the median salary for cybersecurity professionals as of May 2019 is When demand for a role is over double the supply $99,730 per year and $47.95 per hour . Beyond compensation, cybersecurity professionals also benefit from job opportunities across the full spectrum of industries, given that every business needs to maintain adequate security practices and infrastructure to avoid data breaches. Particularly high Information Technology & Services, Defense & Space, Computer Network & Security, Management Consulting, and Financial Services. demand for cybersecurity professionals comes from sectors like Enroll Today! Excited to get your start in this in-demand field? Enroll today in Udacity’s new ! Introduction to Cybersecurity Nanodegree program

The Lowdown on Udacity's Intro to Cybersecurity Nanodegree 

I created my own . Within it are two Udacity Nanodegrees, among other courses. Artificial Intelligence Masters Degree Udacity Deep Learning Nanodegree Udacity Artificial Nanodegree Udacity’s classes are of the highest quality I’ve ever taken. I’ve never done an actual Masters Degree but let’s compare anyway. Cost I went to an open day at my university to look at postgraduate studies. The computer science program I looked into was $42,000 per year over two years. And you needed to pay 50% up front. I didn’t have $42,000 to spare. So I looked elsewhere. Creating my own learning path, I’ve spent a total of $3500. On various courses, books and tools. $3500 isn’t free but it’s far less than $84,000. Paying for everything up front means I don’t have any debt either. Time If I signed up to the computer science program, it would take a minimum of 2-years to complete. I’m a year into my own curriculum and nearly finished. However, learning these technologies is never-ending. Every week there’s a new state of the art benchmark to get acquainted with. Every week! It’s great fun. Learning I looked into studying computer science because I wanted to learn about artificial intelligence. That’s what sparked my interest more than anything. But the curriculum offered by the university seemed to teach everything but what I was after. Going online, I could study anything I wanted. I went straight to the source of what I wanted to learn. It was hard. But learning new things is always hard. You might as well dedicate the effort to something you want to learn. Feedback During my undergraduate degree, I’d hand in assignments and sometimes not get feedback on them for 3-months. By that time, it no longer mattered to me. The same went for exams. Udacity reviewers get back to you with feedback and advice on your projects within 24-hours of submission, sometimes within the hour. Not to mention the Udacity forums and Slack channels. These have been invaluable to my learning. Rather than being stuck on a problem for weeks at a time, help is available (almost) instantly. Quality I’m a visual learner. I have to see things happening for me to understand them. Reading dozens of lecture notes isn’t the best way for me to learn. Udacity’s animations team does a great job crafting visualisations to go along with their lectures. I often find myself rewatching the visualisation a dozen times to have the concept wired in my mind. Udacity also partner with industry experts. In the Nanodegrees I’ve taken, there have been people from IBM and Google offering their insights. Content Does my own Master’s Degree stack up to a real one? I don’t know the answer but look at it this way. University Master’s Degree’s have stood the test of time. They’re set up in a way to prepare you for further study and research. And many companies still recognise them as valuable or even required credentials. Sure, there will be some holes in my Master’s Degree and the Nanodegrees won’t cover everything you need to know, hence the name. But what’s more important is I created my own path consisting of exactly what I wanted to learn. This has made learning far more enjoyable. The best courses are ones which spark your interest in furthering your knowledge. Udacity courses have done this for me. Opportunities Two months ago, I started as a Machine Learning Engineer. Since then, I’ve worked on a bunch of projects requiring the skills I learned in the Nanodegrees. However, I’ve also had to learn more depending on what the project required. Would I be able to apply for more opportunities with a Master’s Degree? Possibly. But I don’t have one. Instead, I knew the skills I’m learning are valuable and made sure to build an online portfolio to use as my proof of work. Udacity also partners with technology companies and offer career services to help you find a role, however, I’m yet to take advantage of these. Further Learning I remember about 1% of what I learn. It’s why my catchphrase is . keep learning Most of the data in the real world aren’t as neatly packaged as what you’ll find in some courses, including the Nanodegrees. You’ll have to continually think of new ways to get data in a format you can use artificial intelligence techniques on. Graduating from a Nanodegree or from a Master’s Degree is not the end of your learning journey but the starting point for a new one. You’ll never be fully prepared for the challenges you take on but with the foundation skills you gain, you’ll be able to learn what you need. Summary Am I the best artificial intelligence engineer after completing the AI Nanodegree? No. Would I have been better off doing a traditional Master’s in AI? Maybe but I don’t plan on doing one. Can I learn new techniques as required and apply them to new problems? Yes. Do the courses I’ve been doing excite me? Yes. Are there some pitfalls to my knowledge? Yes, but I can surround myself with people who are better than me in those areas and learn from them. Or, I can figure out where I’m weak and fix it. If you want to save on cost and time and dive straight into the cutting edge of artificial intelligence, I’d recommend courses such as the Artificial Intelligence Nanodegree. If you’re after a more traditional and rounded education with the prospect of going into further studies, PhD programs and the like, go an Artificial Intelligence Master’s Degree. There is no shortage of problems you can use these skills for. There’s a reason they’re in big demand. Keep learning. This post began as to the question on Quora. my answer What is the difference between a Udacity Nanodegree and a master’s degree with artificial intelligence? Connect with me on . LinkedIn Watch me on . YouTube

Should you do a Udacity AI Nanodegree or an AI Masters Degree?

Full Stack Web Developer Nanodegree, iOS Developer Nanodegree, Machine Learning Engineer Nanodegree, and More This article was initially published in my blog There are so many things that we can learn, and so many resources that we can choose to learn from that it makes it really challenging to choose the right resources that can help us get better jobs, or improve our careers in general. Udacity offers many nano-degrees that we can use to level up our careers with courses that are organized and prepared to help us progress from a beginner level to a more advanced one with quality content. Students who manage to finish the projects get the degree and are guaranteed to get a job related to the degree. If you cannot afford paying for these nanodegrees, fortunately, you can still attend many of the courses that belong to these nanodegrees, without having to pay anything. The following list has been initially posted at this , and at the time of this writing, it includes links to courses that belong to the following nanodegrees: Github repository Front-End Web Developer Nanodegree Senior Web Developer Nanodegree Full Stack Web Developer Nanodegree Data Analyst Nanodegree Machine Learning Engineer Nanodegree Tech Entrepreneur Nanodegree Android Basics Nanodegree Android Developer Nanodegree iOS Developer Nanodegree Mobile Game Developer Nanodegree Predictive Analytics for Business Nanodegree Front-End Web Developer Nanodegree Master the skills required to become a Front-End Web Developer, and start building beautiful, responsive websites optimized for mobile and desktop performance. Learn the fundamentals of how the web works and gain a working knowledge of the three foundational languages that power each and every website: HTML, CSS and JavaScript. Intro to HTML and CSS Responsive Web Design Fundamentals Responsive Images JavaScript Basics Intro to jQuery Object-Oriented JavaScript HTML5 Canvas Website Performance Optimization Browser Rendering Optimization Intro to AJAX JavaScript Design Patterns JavaScript Testing Senior Web Developer Nanodegree (n_o longer listed on Udacity)_ This program begins where our Front-End Web Developer Nanodegree program ends, and is designed to give intermediate developers the chance to build on existing front-end skills and master the newest technologies available. This program ensures you’re supremely well-prepared to succeed in a Senior Web Developer role. Building High Conversion Web Forms Web Tooling & Automation JavaScript Promises Offline Web Applications Web Accessibility Front-End Frameworks Client-Server Communications Full Stack Web Developer Nanodegree This program will prepare you for a job as a Full Stack Web Developer, and teach you to build complex server-side web applications that use powerful relational databases to persistently store data. You’ll learn to build applications that can support any front-end, and scale to support hundreds of thousands of users. Programming Foundations with Python Intro to HTML and CSS Responsive Web Design Fundamentals Responsive Images Intro to Backend Intro to Relational Databases Full Stack Foundations Authentication & Authorization: OAuth Intro to AJAX JavaScript Design Patterns Developing Scalable Apps in Python Linux Command Line Basics Configuring Linux Web Servers Version Control with Git GitHub and Collaboration Shell Workshop HTTP & Web Servers Designing RESTful APIs Data Analyst Nanodegree We built this program with expert analysts and scientists at leading technology companies to ensure you master the exact skills necessary to build a career in data science. Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate critical findings. Intro to Descriptive Statistics Intro to Inferential Statistics Intro to Data Analysis Data Wrangling with MongoDB Data Analysis with R Intro to Machine Learning Data Visualization and D3.js Intro to HTML and CSS JavaScript Basics A/B Testing Machine Learning Engineer Nanodegree Machine learning represents a key evolution in the fields of computer science, data analysis, software engineering, and artificial intelligence. This program will teach you how to become a machine learning engineer, and apply predictive models to massive data sets in fields like finance, healthcare, education, and more. Intro to Descriptive Statistics Intro to Data Science Intro to Artificial Intelligence Reinforcement Learning Deep Learning Artificial Intelligence for Robotics Machine Learning for Trading Tech Entrepreneur Nanodegree No longer listed on Udacity Our Tech Entrepreneur Nanodegree program teaches you the skills you need to create your own revenue-generating app, and build a successful business around it. You’ll learn to succeed the Silicon Valley way! Built in partnership with Google, this program mixes theory and practice to show students how to transform ideas into market-ready products. Product Design App Monetization Rapid Prototyping App Marketing Get Your Startup Started Android Basics Nanodegree Android apps are everywhere, and learning to build them can be a fantastic career move. No programming experience? No problem! The skills you learn in this beginning Nanodegree program will accelerate your journey to becoming a working Android Developer. Android Basics: User Interface Android Basics: User Input Android Basics: Multi-screen Apps Android Basics: Networking Android Basics: Data Storage Android Developer Nanodegree For intermediate Java developers pursuing Android specialization, this program teaches the tools, principles, and patterns that underlie all Android development. The skills you learn in this Nanodegree program will help you master the existing platform, and prepare you for the exciting opportunities in Android’s future. Developing Android Apps Advanced Android App Development Gradle for Android and Java Material Design for Android Developers Android Wear Development iOS Developer Nanodegree Being an iOS Developer is a remarkable occupation, and we’ve designed this Nanodegree program to teach you the skills required to launch your career. For those with previous object-oriented programming experience, you’ll learn Swift and build a multitude of portfolio-worthy iOS apps to demonstrate your expertise as an iOS Developer. Intro to iOS App Development with Swift UIKit Fundamentals iOS Networking with Swift iOS Persistence and Core Data How to Make an iOS App Objective-C for Swift Developers Mobile Game Developer Nanodegree No longer listed on Udacity If you want the skills to turn your game ideas into reality, or get ready to jump into professional game development, this is the program for you! The core of this Nanodegree program is libGDX, a powerful cross platform game development framework that allows you to release your game on a variety of devices and operating systems. 2D Game Development with libGDX How to Make a Platformer Using libGDX Engagement & Monetization | Mobile Games Predictive Analytics for Business Nanodegree As more and more companies incorporate predictive analytics into their data strategies, demand for business analysts with these skills is growing rapidly, and salaries are rising. This Nanodegree program will equip you with these very in-demand skills, and no programming experience is required to enroll! You’ll master the most important predictive techniques, work with leading tools in the space, and learn to deliver high-value solutions to important business problems. Problem Solving with Advanced Analytics Creating an Analytical Dataset Classification Models Data Visualization in Tableau A/B Testing for Business Analysts Time Series Forecasting Segmentation and Clustering Udacity has other nanodegrees as well, but this list includes only the ones that have their courses free of charge. Students who go through the actual nanodegree have the opportunity to benefit from protect reviews, additional student and career guidance, and a job guarantee. Still, you have some great content available to learn from. Happy learning!

85 Free Udacity Nanodegree Courses

Deep has taken the world by storm and the juggernaut has kept rolling since early 2017. Learning As far as the core methodology goes, neural have been around since decades and convolutional neural networks and recurrent neural networks have been around since 15 odd years. networks What has changed suddenly you ask? GPUs and breakthroughs in automated systems like self driving cars. As Andrew Ng himself says, “I think the other reasons the term deep learning has taken off is just branding. These things are just neural networks with more hidden layers, but the phrase deep learning is just a great brand, it’s just so deep.” Developers all around the globe are heavily motivated seeing the innovation DL is driving in each and every sector. Every company is either pitching themselves as providing Artificial Intelligent solutions or a blockchain company. Quite frankly, these 2 things have become the Guitars and DSLRs which college going students use to impress people but very few take it to the next level. So how do we get our skin in the game? I will try to analyse some of the most popular and widely accepted online courses for deep learning as I have almost completed them (I am yet to finish Udacity’s NanoDegree’s RL part, which itself is a discourse on its own) and break them down in terms of the value they add versus the cost it takes out of you — time and money. all We will discuss about 4 courses in totality: Deeplearning.ai Specialisation — Coursera Deep Learning A-Z — Hands On Experimentation — (SuperDataScience) Udemy Applied AI with Deep Learning — IBM ( ) Coursera Deep Learning NanoDegree — Udacity Lets begin with a short intro to all the courses: Deeplearning.ai, Andrew Ng’s boat which leads us towards autonomous salvation is split over 5 courses covering NN, CNN, RNN and dedicated courses to hyperparameter tuning and ml project structuring. The courses contains 3–4 weeks respectively(except course 2 and 3) which contain as many quizzes and programming assignments in python hosted on coursera’s jupyter hub. DeepLearning A-Z on Udemy provided by folks at superdatascience.com is a 23 hour rigorous course which splits the course into 3 parts : Supervised learning(ANN,CNN,RNN), Unsupervised Learning( SOM, Boltzmann Machines, Autoencoders) and some basic ML referesher and data preprocssing techniques and templates. Applied AI with Deep Learning by IBM is focused more towards the IoT/ production level design of deep learning systems with introduction to various frameworks like deeplearning4j, systemml and tools like Apache Spark and IBM Bluemix platform which makes exploring deep learning on real time data. Its a 4 week course which covers a lot in lost less time. Udacity’s Deep Learning Nanodegree covers everything from NN to GANS and previously was marketed as a foundations course but they added Reinforcement Learning and dropped the former name. Contains rich video content and hands on mini segments which are presented in the form of self paced jupyter notebooks. Assignments are reviewed and mentors are also assigned for a personalised touch. So, after a brief introduction to all the nominees for the Best Course on Deep Learning, the Oscar goes too… Hold on, lets take this to the jury room. From a learner’s perspective, I came up with an evaluate-tionary framework of auto M.A.T.I.C.S ( oney ssignments ime ntuition ontent upport) M A T I C S - Registered in the state of Beliefotopia. All hail our saviour Geoff Hinton and his scribe Yann Lecun. Good things come to those who wait and the metric goes in the increasing order of relevance as well, so stick around! You are not the only one with fancy acronyms, Marvel! Lets discuss all these points with the perspective of students(S) and working professionals(P) oney 1) M S: — Coursera is known for the it has in place to help students not only get its content but also get certified for the course for full or partial payments. Udemy’s courses are comparatively very cheap (Less than $20) and the content might be available on the internet if you look . Udacity is probably the only one which provides free alternative to its nanodegree course content but then it charges $300–$500 dollars for its nanodegrees for the personalized code reviews and mentors. financial aid system closely P: — If your company is paying for your courses as part of L&D policy, I’d say do them all! If its your own pocket through which you are looking to pay then I’d suggest having Coursera’s $49 per month full access to their catalogue. Udemy is just a day’s salary for you and Udacity probably worth 2–3 weeks. Here’s a free certificate for your resume courtesy John Oliver Verdict:- If you don’t want but only knowledge then audit coursera courses, skip udacity nanodegree and be a pirate, harry! Else, shell out some bucks for the course creators’s hardwork and be a responsible student. certificates ssignments 2) A Udacity beats everyone in terms of assignment quality and code reviews. Andrew Ng has provided some cool Ipython notebooks but I must say, the assignments are not at all intuitive. Udemy course provides some very hands on intuitive level assignments/explanation where the tutor explains each and every line of the code which does help if your theory is on point. IBM’s course provides weird yet interesting assignments as they try to bring IBM Watson platform and big data aspect into real time production level assignments but are poorly explained/structured with weird UX around IBM platform. Verdict:- If you like someone explaining all the code, Udemy assignments are very good. You want your code to be reviewed/mentorship — Udacity is bang on. For everything else, there is Coursera. ime 3) T S — Students are at an advantage for they can easily pace out the courses over time. Coursera 4 week courses if done properly hardly take a week if you are clear with your math fundamentals. Udacity has much more to offer in terms of mini assignments and longer syllabus which justifies its ask of 8–10 hours per week. IBM course is very swift but it covers very less things. Udemy course is around 23 hours runtime which clearly takes atleast 2 weeks to finish. P — All the courses are also kept keeping professionals in mind. Udacity has some deadline based projects so you kinda have to keep up. But burning the midnight oil everyday is better than chugging through the whole content over the weekend for you will forget it the next week. Verdict:- Coursera is value for time, Udemy is self paced but might be frightening at times. Udacity is not for the faint-hearted if you are not well versed with its prerequisites of math and python ntuition 4) I Andrew Ng covers the underlying math in a much much better way than all of the tutors but at times it proves to be counter intuitive if you like coding and hacking your way through it. Udemy course covers both code logic and tech intuition in a nice and precise way but visually is unappealing.They also provide links to research papers to read which can be used as supplementary material to strengthen your knowledge on a particular topic. Udacity content is very intuitive though they provide some write ups and math below their videos, some math intensive sessions (RNN) surely are snoozeworthy.( Important, yet snoozyy) IBM course gives you an idea about IoT and production level deep learning with its very basic and intuitive videos which are good if you are looking to quickly try and build something without going into the grittiness of deep learning. That’s not what she said… Verdict:- I personally found Udacity content to have cleared a lot of mydoubts, but then Udemy clears your coding intuition and Andrew Ng’s lectures though less intuitive but are necessary if you re looking to understand how everything works. You can choose to go for Udemy if your aim is to prototype rapidly and learn intuitively only. ontent 5) C Andrew Ng’s content is very standard and it feels as if you are sitting in a classroom and your professor is breaking down each and every difficult concept into simpler terms. Udacity’s content is graphically attractive and doesn’t make you sleep( RL and RNN will) coupled with special content by Andrew Trask, Ian Goodfellow and Sebastian Thrun keeps things interesting from time to time. SuperDataScience team has come up with their hit A-Z series in many verticals of AI/ML/DL and though their slides are not a visual treat, their content is precise and inclined more towards the practical aspect. They provide some very cool templates which are heavily reusable if you plan to experiment. IBM content is a bit hasty I would say, the varied pace at which different instructors go and the accent of the main tutor is sometimes very difficult to comprehend without subtitles. Verdict:- Udacity — Yayyyy, Udemy — Yayyy, DeepLearning.ai — Yayy, IBM — Yay upport 6) S I’d say Udacity’s 60% fees might be justified for the support they provide. Slack channels, weekly office hours, live webinars with top scholars, mentors to help you out with code and logical errors and portfolio building skills make taking a mooc a very wholesome experience. Coursera and Udemy have support forums where you can discuss with your fellow classmates or reach out to TAs but then it depends on how much grasping power you have. Better the support, Better the understanding.I personally got frustrated with the IBM course as the assignments are so rigid I almost gave it up at one point just because I was copy pasting wrong json file. Verdict:- Udacity takes the cake and justifies its price in this segment FINAL VERDICT Its one thing to download tutorial videos and other thing to take an actual course. I have had like 30–40 gb worth of tutorials ranging from Game Theory to How To Make Delicious Pastas and I still eat instant pasta packets. The point being if you are commiting yourself to a course and are serious about entering this field or are just wanting to have an overview of the fuss in the market, I have some yoda wisdom to pass on. Chronological Order : Deeplearning.ai, Udemy, IBM, Udacity Machete Order: Udemy, IBM and then watch the world burn The Chosen One: Udacity DLND Original Trilogy — Andrew Ng’s Machine Learning-> Khan Academy Math ->DeepLearning.ai

DeepLearning 101: Coursera Vs Udemy Vs Udacity

2018 is an exciting time for students of machine learning. There is a wealth of readily available educational materials, and the industry’s importance only continues to grow. That said, with so many easily accessible resources, choosing the right fit for your interests can be difficult. To help those considering entering the machine learning world, I’d like to share my experience from two courses I took in 2017: and . I found both courses to be very instructive and worthwhile, but very different in nature. If you don’t have time to take both then hopefully this post can help you decide which one is best for you. Coursera’s Machine Learning course Udacity’s Machine Learning Engineer Nanodegree program Coursera Coursera’s Machine Learning course is the “OG” machine learning course. Led by famed Stanford Professor Andrew Ng, this course feels like a college course with a syllabus, weekly schedule, and standard lectures. The college feel extends to the curriculum as well. Here is an example slide: Courtesy of Coursera If that scared you, you aren’t alone. I usually shy away from courses heavy in math, but I actually appreciated the approach in this course. The course begins with a linear algebra refresher and explains machine learning concepts like gradient descent, cost function, regularization, etc. along the way. It is structured better than any in person college course I ever attended. The material isn’t easy, but that’s a good thing. You come away from the course with the satisfaction of genuinely understanding machine learning, enough so that you could even build your own machine learning framework from scratch. Udacity Courtesy of Udacity Udacity’s Machine Learning Engineer Nanodegree program is the trade school alternative to Coursera’s academia. From basic statistics to full-fledged deep learning, Udacity teaches you a plethora of industry standard techniques to complete the program’s well-crafted projects. The projects are so good, in fact, that I forked their repos on Github and left my solutions up as portfolio items. The final step of the program is to complete a capstone project of your own choosing. While you could theoretically do a similar project on your own, I found the desire to complete my Nanodegree to be a strong motivator; I ended up putting in much more time and effort than I normally would have put into an independent side project. Ultimately, I ended up creating something of which I am truly proud. Udacity’s program doesn’t so much teach as it does provide a framework and motivation for you to teach yourself. Comparison Now that I’ve introduced the two programs, I’ll highlight the strengths and weakness of each across a number of categories. Programming Environment As I mentioned, Coursera is the “OG” machine learning course; so, it should come as no surprise that the it’s taught in the “OG” 3D math language and programming environment: Matlab. Due to Matlab’s cost and licensing issues, the machine learning world has mostly moved to Python. This move severely limits the utility of the programming assignments because you’ll have to relearn a lot of that work in Python. If you are a seasoned programmer who knows many languages, that might not be a big deal. However, if you are relatively new to programming then this detour may cost you a lot of time. The Udacity course is taught in a modern Python environment with popular frameworks like Sklearn, Tensorflow, and Keras. The course even teaches students how to use AWS to deploy machine learning software to the cloud. The course also simplifies the process of installing machine learning dependencies with a Docker image and AMI (Amazon Machine Image) for local and AWS development respectively. In fact, the entire Udacity environment is in line with industry best practices and students who learn it will be well equipped in the job market. Winner = Udacity Lectures Coursera’s Machine Learning course was created and taught by the AI godfather himself: Andrew Ng. And this course has contributed in no small part to his reputation within the industry. The lectures follow a single uniform format and each one builds upon the last in a methodical way. Not to mention, he leads every one himself. Lastly, Professor Ng is also very encouraging in his videos, which I thought was a nice touch. Udacity’s lectures, by contrast, featured a rotating cast of characters, which can create very jarring transitions between sections. I counted at least seven different people lecturing throughout the program. While Udacity attempts to provide multiple content sources for its students, the lack of homogeneity definitely dented my enthusiasm for the lectures. By the end of the program I just skipped right to the projects and watched the lectures, or even searched Youtube, as needed. Winner = Coursera Projects Coursera’s course has programming assignments in which student’s submit code to be tested against automated unit tests. While this model helps the class scale, it leaves you hunting through the forums when things go wrong. That said, I never hit any major roadblocks. The assignments themselves were directly related to the course material and reinforced the lectures. Sometimes it felt like I was actually creating my own machine learning framework; at other times, however, it felt like I was just implementing methods until the unit tests passed. Udacity’s projects were extremely well designed. In fact, they constituted some of the best educational materials I’ve ever encountered. Each project covered a subject, such as unsupervised learning, reinforcement learning, linear regression, in which you solve a multi-step machine learning problem and write about your approach and understanding. When you feel that you have completed a project, you submit it to be graded by a HUMAN. The quality of the feedback that I got was incredible. The final project is a capstone that you get to pick yourself, but it is still reviewed by Udacity’s staff. The proposal and ended up being one of the best portfolio items I have ever created and one of the things I am most proud of in my programming career. final report Winner = Udacity Cost Coursera’s price is hard to beat because it’s free. To get the certification its $80. If you are machine learning on a budget then Coursera is a great choice. Udacity has recently changed its pricing model for the Machine Learning Nanodegree. When I entered the program, it was $200 a month. Now it is a $999 flat fee. The per month pricing model incentivized me to finish the program quickly in only three months. Though I must admit, given the quality of instructor feedback, even with the price hike tuition still seems reasonable. The highly-skilled labor that is meticulously reviewing projects can’t pay for itself. With such a high dollar amount, however, signing up for the Nanodegree program is obviously a much bigger consideration. Winner = Coursera Conclusion While the courses tied on the number categories won, I am going to pick a winner. It is… Udacity. It may come as no surprise that a paid course beats out a free one, but the Udacity Machine Learning Engineer Nanodegree program gave me the confidence to professional pursue machine learning positions and opportunities; and for that, its entry fee was a very small price to pay. That said, I would still recommend you do both courses. Start with Coursera, so that when you use “batteries included” high level frameworks, you understand the low level details and have a better appreciation of what you’re actually coding. After you’ve built a strong conceptual foundation, further refine your skills by learning practical, industry standard practices at Udacity. Overall, I am so glad I took concrete steps to enter the machine learning world in 2017, and I would encourage you to do the same in 2018. Coursera’s Machine Learning Certificate Machine Learning Engineer Nanodegree Certificate

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