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Codesmith

Los Angeles, New York City

Codesmith

Avg Rating:4.97 ( 90 reviews )

Recent Codesmith News

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Recent Codesmith Reviews: Rating 4.97

all (90) reviews for Codesmith →

2 Campuses

Los Angeles

The program teaches computer science, full-stack JavaScript (notably React and Node), software architecture, and machine learning, preparing graduates for mid to senior engineering positions. The course also features preparatory material, extensive hiring preparation, and ongoing support with students’ job searches.

Course Details

Deposit
$2,200
Financing
Scholarship
Codesmith offers scholarships for talented people from underrepresented backgrounds. Codesmith also offers a small number of Dean's scholarships where Codesmith will contribute 25% of fees to candidates in need
Interview
Yes
Minimum Skill Level
Prior Computer science and programming skills necessary
Prep Work
4 weeks
Python, Machine LearningIn PersonPart Time15 Hours/week

The Codesmith Machine Learning Alumni Program is an intensive part-time program for Codesmith Alumni focused on in-depth learning of the theory, algorithms, and libraries used by machine learning engineers in the field, with a focus on developing real-world machine learning portfolio projects. Topics include: Data visualization, Data introspection and manipulation techniques, Python data science libraries, Classification, Regression, and clustering machine learning algorithms, Artificial Neural Networks, and more. This program is currently only for Codesmith Alumni.

Course Details

Deposit
$0
Minimum Skill Level
Completion of Codesmith Software Engineering Immersive
Placement Test
Yes
Prep Work
Precourse covering Python and Introduction to Machine Learning
Front End, JavaScript, jQueryIn PersonFull Time3 Hours/week

Over 90% of Codesmith students attend JavaScript the Hard Parts in preparation for the Codesmith technical interview. In JavaScript the Hard Parts, Codesmith Engineers cover callbacks, higher-order functions (functional programming with JavaScript), object-oriented programming with JavaScript, closure, scope and execution context. The reason people who only watch programming videos don't become programmers is because they're not programming. JS the Hard Parts provides a space to build with fellow learners, immerse yourself in the Codesmith community, and learn the key concepts that Codesmith students need to know before beginning the immersive 12 week program.

Course Details

Minimum Skill Level
Beginner - Intermediate

New York City

Codesmith 250 Lafayette Street, New York City, NY 10012

The Codesmith NYC program teaches computer science, full-stack JavaScript (notably React and Node), software architecture, and machine learning, preparing graduates for mid to senior engineering positions. The course also features preparatory material, extensive hiring preparation, and ongoing support with students’ job searches.

Course Details

Deposit
$2,200
Financing
Scholarship
Codesmith offers scholarships for talented people from underrepresented backgrounds. Codesmith also offers a small number of Dean's scholarships where Codesmith will contribute 25% of fees to candidates in need
Interview
Yes
Minimum Skill Level
Prior Computer science and programming skills necessary
Prep Work
4 weeks

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Our latest on Codesmith

  • What is Machine Learning? A Primer with Codesmith

    Imogen Crispe9/6/2017

    Everyone seems to be talking about Machine Learning. But what is Machine Learning, and do you really need a PhD in Math to master it? LA coding bootcamp Codesmith has recently added a machine learning unit to their core program, and will soon launch an entire Machine Learning Bootcamp. We asked Codesmith’s Director of Machine Learning, Weylin Wagnon, where to spot machine learning in everyday products, why knowledge of machine learning is useful for software developers, and what the job market is like for developers with machine learning skills.

    Our Takeaways:

    • Machine learning is a subset of AI, where a computer uses data and previous experiences to predict outcomes
    • Machine learning tasks include those which used to be done by humans such as fraud prediction and ad placement
    • Any task that is currently tedious for humans but still requires some creative decision-making is a target for machine learning software.
    • Codesmith is teaching machine learning with a code-first attitude, by introducing the concept to students as a new tool and a new library
    • Software engineers who know how to interact with machine learning systems are future-proofing their skills

    What’s your experience in machine learning?

    I run a cryptocurrency mining farm, where we manage mining for our clients who want to invest in cryptocurrency. It’s very complicated to set up and do at scale, so we streamline the machine learning process.

    What is machine learning?

    In general, Machine Learning is equal parts math, statistics, computer science, and voodoo. Machine learning is very different from the traditional software engineering or programming paradigm. In computer science, you provide a set of rules and input data to make some kind of output. In machine learning, you switch that around. You input data and input the answer you want to see, and the machine figures out the rules required to get that answer. It is a little bit magical, it’s pretty challenging, but with a clear approach to understanding machine learning, it is possible to do extraordinary things with these tools.

    How is machine learning different from artificial intelligence?

    The standard general purpose computer is not intelligent. Artificial intelligence gives the machine some automated behavior that we consider “smart.” Machine learning is a subset of Artificial Intelligence and requires learning from previous data. As humans, we use our previous memories to influence our future behavior; machines can learn from previous data to do the same thing. Overall, AI doesn’t imply data alone, whereas machine learning is all about data.

    Where do we see Machine Learning in the real world? Can you give us some examples?

    Anything that is currently tedious to do for people but requires some kind of creative decision making is a target for machine learning software. Most of the cutting edge machine learning projects are coming from large companies that have huge data sets. For example:

    • Google Photos and Apple Photos dynamically identifying faces in pictures and auto-tagging people.
    • Shazam, which identifies songs, has been greatly enhanced through machine learning.
    • Speech systems like Siri, Google Home, and Alexa, are all good examples of machine learning ability.
    • Fraud reporting, which used to be done by humans perusing financial records, but is now accomplished with algorithms.
    • Some core business uses have been around for a while – 10 years ago, machine learning was used to predict which advertisement a user would click on, and we still use advanced neural networks for the same task today.

    How can machine learning be useful for a software developer?

    Machine learning exists in an application ecosystem (like an API). So even if a developer doesn’t want to touch the whole backend of an application, they are still going to have to interact with some of these systems. Having at least an understanding of the concepts behind machine learning can be valuable in the long run when designing systems.

    Any exposure to machine learning is a really good mark on your resume. Having interacted with such machine intelligence systems shows that you have a strong competency with current and future technologies.

    Why has Codesmith decided to add Machine Learning to the curriculum?

    Google I/O’s last conference (and every main stage) was fully focused on AI and machine learning at all times – it’s a significant trend.

    You need to be able to work with large amounts of data, be a smart programmer, understand neural networks, and have machine learning skills if you want to build the next generation of tech products. And if you don’t, you’ll be left behind over the next 10 to 15 years. It’s hard to observe the future of jobs and not be scared of how machine learning is taking over; I think the best way to stem that tide is to get into the field yourself.

    Tell us about the new machine learning unit at Codesmith and how you came up with the course.

    We are now offering an entire unit within Codesmith’s core software engineering residency, plus a six-week stand-alone course for alumni and experienced coders. I just finished teaching the unit. It’s not a complete course, but it does give students all the tools they need to go forward in machine learning. We ran a beta-version of our six-week course for alumni, got a lot of feedback, and are iterating right now for our public course. It’s exciting to push software engineers on the right path. Machine learning is something that will be hard to avoid in the future so it’s really valuable to get into the space right now.

    I spent a long time researching before writing the curriculum. I paired up with Kush Kumar, part of the USC Machine Learning Department, who is a stellar expert in the field. Combining his expertise with my teaching background, we forged the content together.

    Can you really teach machine learning at a coding bootcamp? How do you fit such a vast topic into a short course?

    We teach machine learning in the last quarter at Codesmith, so that students have the most experience and can gain the most from it. As we go through Codesmith, the pace of students’ comprehension accelerates, so they get used to picking up new information fast.

    The core Codesmith unit is focused on teaching students about general machine learning ideas, providing a framework to think about machine learning, and defining terms that we’ll see a lot. We are focused on coding best practices first. Then, we’re fitting machine learning into the curriculum as a new tool and a new library, and not as a fundamentally alien concept.

    We do a deep dive into re-engineering some machine learning algorithms so we can see it’s not just magic. But on this level, you don’t have to engineer everything yourself. We teach libraries like Pandas to enact a lot of complex behavior very quickly. The program is mainly project focused as we go through, and we also practice pair programming.

    Codesmith’s 12-week program focuses on full-stack JavaScript. What programming languages or technologies do you teach for machine learning?

    There are three main languages used for Machine Learning – Python, R, and MATLAB. We teach JavaScript mainly at Codesmith, but we’re really teaching programming as a whole (which is somewhat language agnostic). For Machine Learning, we teach Python. There are so many libraries which stack on top of each other – Matplotlib is for graphing, Pandas is for in-memory data representations, and Numpy is for matrix calculations. Then we go into Scikit Learn, which is a powerful machine learning library built on Numpy.

    Students also learn some DevOps, neural networks, and Tensorflow. By the end of the unit, they’ll have covered the vast majority of the machine learning field and will be able to autonomously create projects.

    What is the job demand like for machine learning skills?

    In LA, job listings mentioning machine learning often offer salaries 10% to 30% higher than regular software engineering roles. The goal of our program is not to produce data scientists, data analysts, or data engineers – we’re aiming to graduate engineers who can build advanced programming products and meet the needs of a “machine learning software engineer” job listing. Companies are getting very competitive as the demand for machine learning engineers grows faster than the supply. The main source of machine learning talent comes from master’s degree or PhD programs, so it’s a challenge for companies to find enough engineers to rapidly prototype machine learning products. In addition to being in great demand, machine learning skills are a great accent to any software engineering role.

    Is there anything you’ve had to leave out of the Codesmith machine learning curriculum?

    We don’t cover neural network libraries in our Codesmith unit, but we can provide resources for students who are interested in learning more, and we highly encourage alumni to take the full machine learning course.

    We always hear that you don’t have to be a math whiz to be a good programmer, but do you need math skills to do machine learning?

    In the machine learning unit, we don’t focus a lot on math. People get the idea that machine learning is only about math because of Andrew Ng’s popular Machine Learning course from Stanford, which is all focused on the calculus derivation of different algorithms, and how to implement them. But that knowledge is not required to build machine learning projects – most of it is already wrapped up in libraries. So your math ability doesn’t impact your ability to implement machine learning systems.

    However, at some point in your career, you may want to develop new machine learning processes, and then that math and algorithms research will help you. But in general, it’s not as big of a requirement as people think.

    What’s an example of the sort of machine learning projects that students would work on at Codesmith?

    At Codesmith, we mainly focus on portfolio projects. Having a significant portfolio of work is so important to getting hired in machine learning. Students work on projects which involve making graphs that convey information, getting insights from data, and then presenting the insights in a way that’s understandable for less technical people.

    Who is teaching this new unit? How will you train your instructors to teach this new machine learning unit? Or will you hire new instructors?

    So far I’ve been the sole instructor along with our advisory member Kushaan. I am hoping to continue contributing as long as I am able, plus we have some super talented engineers who have been studying machine learning on their own and have attended all of our machine learning courses. We like to take a multifaceted approach – we have really talented teachers, engineers, and people with math backgrounds, and it’s through all of us working together that we can make it work. It’s a community approach.

    How often does the Codesmith team update or add new units to the curriculum like this?

    We reevaluate the curriculum after every graduating class and talk about whether topics are still relevant, and whether we can improve. We add content often, like new lectures, or individual focuses, but rarely whole units. So this is exciting!

    Can students in both LA and NYC campuses learn machine learning?

    So far, we’ve only taught machine learning at the LA campus. Our first NYC cohort starts in two weeks, and we hope to also offer machine learning there eventually. Stay tuned for our separate machine learning course, which we are hoping to launch in the near future.

    Are there resources or meetups you recommend for machine learning beginners?

    The best machine learning resource for beginners is a YouTube channel called Welch Labs. He’s a fantastic teacher and makes the subject really dynamic. You can learn about the field and the core concepts behind it, without requiring advanced math.

    There are also plenty of online courses and interactive online portals. I don’t particularly like those, but some people benefit from them as an introduction to concepts. Those online courses can make you feel like you’ve accomplished and learned a lot, but you have no autonomy, and having to define a task for yourself afterward can be really challenging. I think an interactive course where you build projects is the best option.

    Find out more and read Codesmith reviews on Course Report. Check out the Codesmith website.

    About The Author

    Imogen crispe headshot

    Imogen is a writer and content producer who loves writing about technology and education. Her background is in journalism, writing for newspapers and news websites. She grew up in England, Dubai and New Zealand, and now lives in Brooklyn, NY.

  • Your 2017 #LearnToCode New Year’s Resolution

    Lauren Stewart7/21/2017

    It’s that time again! A time to reflect on the year that is coming to an end, and a time to plan for what the New Year has in store. While it may be easy to beat yourself up about certain unmet goals, one thing is for sure: you made it through another year! And we bet you accomplished more than you think. Maybe you finished your first Codecademy class, made a 30-day Github commit streak, or maybe you even took a bootcamp prep course – so let’s cheers to that! But if learning to code is still at the top of your Resolutions List, then taking the plunge into a coding bootcamp may be the best way to officially cross it off. We’ve compiled a list of stellar schools offering full-time, part-time, and online courses with start dates at the top of the year. Five of these bootcamps even have scholarship money ready to dish out to aspiring coders like you.

    Continue Reading →
  • Episode 8: October 2016 Coding Bootcamp News Roundup + Podcast

    Imogen Crispe11/1/2016

    Welcome to the October 2016 Course Report monthly coding bootcamp news roundup! Each month, we look at all the happenings from the coding bootcamp world from new bootcamps to fundraising announcements, to interesting trends. This month we are also covering our Women In Tech Snapchat takeover! Other trends include new developments in the industry, new outcomes reports and why those are important, new investments in bootcamps, and of course, new coding schools and campuses.

    Continue Reading →
  • Founder Spotlight: Will Sentance of Codesmith

    Liz Eggleston10/19/2016

    Will Sentance is co-founder and CEO at Codesmith, a full stack coding bootcamp in Los Angeles that launched in fall 2015. Before that, he worked as a software engineer, and started his own e-commerce platform. Will says learning to code changed his life, and he wanted to pass that experience and knowledge on to others. Will explains the Codesmith curriculum, what Codesmith looks for in students, and how to prepare for the interview. Also find out what sort of jobs Codesmith graduates are getting!

    Q&A

    What were you doing before you decided to found Codesmith bootcamp?

    I worked as a Software Engineer at Gem, which is now a Hiring Partner at Codesmith. Before that, I was CEO and cofounder of Ownly, a social e-commerce platform I started while studying at Harvard. Gem is doing some really transformative work in the Bitcoin and Blockchain space for developers– we were finalists at Techcrunch Disrupt. It's a model for Codesmith graduates– exceptional technical talent yet great communicators. I loved the team there.

    Why did you want to start a Los Angeles coding bootcamp?

    Coding changed my life and the lives of significant people around me. It gave us the ability to build the ideas we dreamt up. People learn to code for many reasons from aspiring doctors who want to change medical document processes to people who love solving puzzles. I love getting to see all of these backgrounds come together to support each other in the program.

    Many coding bootcamps these days have been founded by graduates of other bootcamps. After attending Hack Reactor, what did you think was important to keep about the bootcamp model and what did you iterate on?

    Codesmith and Hack Reactor have a shared mission of transforming people's opportunities through coding. I have a lot of love and respect for the programs like Hack Reactor and Fullstack Academy that are doing this really well. Like the other rigorous programs, we focus on computer science, a deep understanding of JavaScript, and on problem-solving. The outcomes are similar– the average salary of Codesmith is $103.5k and of Hack Reactor $104k, and both have 90-95% employment rates after four months.

    There are distinct differences. At the end of the Codesmith program, we have our hiring event where companies from across the US come on site to interview graduates. This is very distinctive and is part of why the graduate outcomes are so strong.

    The community of Codesmith Los Angeles is also extraordinarily tight-knit, with cohorts of 15 (two running at the same time) selected from over 300 applications. It plays out in the average leaving time each night– most people leave the campus close to midnight, six days a week!

    CodeSmith is a full stack JavaScript bootcamp. How did you design the curriculum at Codesmith?

    We teach a lot of the fundamentals of JavaScript– going under the hood on how JavaScript really works. We believe this gives grads a huge edge. Dan Carr, who was a lead engineer at Adobe for 15 years and a lead in their education team too, teaches much of the core curriculum. He was influential in designing a curriculum that features both the latest technologies (React, Redux) and timeless features (software design patterns, team best practices.)

    What is the admission process like?

    We look for people who have great potential in problem-solving and communication (both technical and non-technical). Before the admissions interview, there's a basic coding challenge online and special harder challenges given out at many of the free classes each week. If you complete these harder challenges, you're guaranteed to get an interview.

    Your first interview looks at your interests and commitment to supporting others. This is followed by a technical interview. There you will work through various coding challenges, and  we work with you as you navigate through. It's like a mini session of Codesmith.

    What do students learn in the ‘JavaScript the Hard Parts’ Codesmith meetup?

    At JavaScript the Hard Parts, the free community classes, attendees work with me or another instructor to go deep into a JavaScript topic like execution context and closure. I'll call on participants to give them practice talking through their code. It's mixed in with plenty of pair-programming which is a very effective way of learning, and it creates a great community even before people are admitted to the program.

    How are graduates performing in the real world?

    The graduates are doing remarkably well. They are doing everything from developing an organic grocery marketplace at Thrive Market, to a life-changing charitable platform at Omaze, to supporting 20m+ football fans at the NFL. By the end of the year, over 200 Codesmith grads will be out building great things with code. Graduates receive offers averaging $103.5k, with 92% hired within in 4 months– mostly in LA and SF. Companies like Whisper, Hautelook and others have hired multiple grads– that's a wonderful sign of the impact the grads are having at each company.

    What types of final projects have Codesmith students built?

    Students build a portfolio of four projects while at Codesmith– the final being the 'Production Project'. Students have built applications for clients including the Los Angeles School District and the University of Michigan Hospital.

    Some of the most impactful projects have been tools and libraries for developers like React Monocle and React-D3 library. These developer projects have trended on Github and Hacker News and are now being used by thousands of developers including Hiring Partners of Codesmith.

    Why is it so important for students to actually launch their apps in the real world?

    Launching a project gives students production experience– handling user issues, bugs and requiring students to work as professional developers as opposed to working on artificial 'bootcamp' projects. It really makes the graduates stand out– it's a big part of why 95% of graduates join companies as mid-level developers or above.

    What is the current class makeup in terms of gender, race, background? Is it diverse?

    Students come from a wide range of backgrounds. While many have STEM experience or even Computer Science degrees, there are also students who were creative writing majors or didn't attend college at all!

    We have scholarships for students from backgrounds that are underrepresented in technology, and we work closely with Girl Develop it and Women Who Code on free classes and curriculum to help show people that they can aspire to Codesmith whatever their background. But we have to do more.

    How do you attract a diverse applicant pool to Codesmith– is that important to you as a founder?

    It is crucial. In the coming years, more and more leaders of firms will come from a software engineering background. We have an opportunity to give people from all backgrounds that path to leadership. In November, we are starting a new Women in Technology Speaker Series and new scholarships in partnership with leading technology firms– to further attract a diversity of applications.

    How should new students approach Codesmith?

    We have high expectations for applicants in their interviews, but we also have an extraordinarily supportive community which is ready to help you reach your potential and prepare for your application. Join us for any of the classes in person or online–  whether or not you end up at Codesmith, you'll find your partners in crime to code with.

    How does the CodeSmith experience prepare students for job interviews?

    Companies expect a lot from Codesmith graduates. They're going to be offering six-figure salaries so they expect people who are capable of solving problems without too much supervision.

    The program is designed to prepare graduates for exactly these demands. To do this, the curriculum pushes you to perform at a level that impresses seasoned engineers, both through professional engineering best practices, and a structure that is heavily project-based. This makes you ready for deep technical discussions and challenges at interviews

    The second half of the program moves into dedicated job-search preparation– through mock interviews, resume and online profile development– all culminating in Hiring Day.

    Tell us about your employer partnerships.

    We have a network of over 250 Hiring Partners who are required to have a strong engineering culture and who hire mid-level and above developers. A select group joins onsite for Hiring Day for multiple streamlined interviews. Nearly half of our graduates get offers from companies they met at Hiring Day.

    Have you been through the regulatory process with the BPPE in California? Is it important that you become accredited?

    The regulatory system is outdated for sure but efforts are being made to develop a new approach. In the meantime, we have begun the process of getting officially accredited by BPPE

    What’s next for Codesmith? Are there plans to expand geographically, or to expand the curriculum?

    I believe we've barely scratched the surface of the number of people we can bring the ability to code to, as well as the number of organizations and industries that can be transformed by engineers who can lead. I want our alumni to continue to develop as leaders in tech after they graduate. So we're working on new ways to give our alumni all the support they need to make that happen.

    Find out more and read Codesmith reviews on Course Report. Check out the Codesmith website.

    About The Author

    Liz pic

    Liz is the cofounder of Course Report, the most complete resource for students considering a coding bootcamp. She loves breakfast tacos and spending time getting to know bootcamp alumni and founders all over the world. Check out Liz & Course Report on Twitter, Quora, and YouTube

  • Coding Bootcamp Prep Programs: The Ultimate Guide

    Imogen Crispe3/2/2017

    Many competitive coding bootcamps require a certain level of coding knowledge or background in order to be accepted into their programs- whether they’re looking for past experience on your resume or require that you pass a coding challenge. For a beginner, it can be tough to get the experience that a selective bootcamp looks for in the application process. There are many ways to learn basic coding (including teaching yourself) but if you want to make sure you’re covering the right material and quickly, then a bootcamp prep program may be for you.

    Continue Reading →
  • Which Los Angeles Coding Bootcamp is Best for You?

    Nick Toscano9/8/2015

    Move over tinsel town and make some space in the greater Los Angeles area for some of the finest coding programs in the country. While LA once paled in comparison to San Francisco when it came to the sheer quantity of bootcamps, we've seen a surge in LA coding bootcamps this year. Currently, there are 11 code schools with campuses in LA's "Silicon Beach" that all bring a unique take on web development training.

    Continue Reading →
  • June Coding Bootcamp News Roundup

    Harry Hantel7/1/2015

    Welcome to the June News Roundup, your monthly news digest full of the most interesting articles and announcements in the bootcamp space. Do you want something considered for the next News Roundup? Submit announcements of new courses, scholarships, or open jobs at your school!

    Continue Reading →

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