Foundations of Web Design & Web Authoring Training Classes in Cambridge, Massachusetts

Learn Foundations of Web Design & Web Authoring in Cambridge, Massachusetts and surrounding areas via our hands-on, expert led courses. All of our classes either are offered on an onsite, online or public instructor led basis. Here is a list of our current Foundations of Web Design & Web Authoring related training offerings in Cambridge, Massachusetts: Foundations of Web Design & Web Authoring Training

We offer private customized training for groups of 3 or more attendees.

Foundations of Web Design & Web Authoring Training Catalog

subcategories

cost: $ 1090length: 3 day(s)
cost: $ 890length: 2 day(s)
cost: $ 960length: 2 day(s)
cost: $ 1190length: 3 day(s)
cost: $ 790length: 2 day(s)
cost: $ 1190length: 3 day(s)
cost: $ 790length: 2 day(s)
cost: $ 790length: 2 day(s)
cost: $ 2090length: 5 day(s)
cost: $ 2000length: 5 day(s)
cost: $ 720length: 2 day(s)
cost: $ 330length: 1 day(s)
cost: $ 1190length: 3 day(s)
cost: $ 790length: 2 day(s)
cost: $ 790length: 2 day(s)
cost: $ 790length: 2 day(s)
cost: $ 1190length: 3 day(s)
cost: $ 390length: 1 day(s)
cost: $ 290length: 1 day(s)
cost: $ 1190length: 3 day(s)
cost: $ 2090length: 5 day(s)
cost: $ 330length: 1 day(s)
cost: $ 1090length: 3 day(s)
cost: $ 1090length: 3 day(s)
cost: $ 790length: 3 day(s)

JavaScript Classes

cost: $ 1190length: 3 day(s)
cost: $ 465length: 1 day(s)

Course Directory [training on all levels]

Upcoming Classes
Gain insight and ideas from students with different perspectives and experiences.

Blog Entries publications that: entertain, make you think, offer insight

What are the three most important things non-programmers should know about programming?
 
Written by Brian Knapp, credit and reprint CodeCareerGenius
 
 
Since you asked for the three most important things that non-programmers should know about, and I’ve spent most of my career working with more non-programmers than programmers, I have a few interesting things that would help.
 
Number One - It Is Impossible To Accurately Estimate Software Projects
 
No matter what is tried. No matter what tool, agile approach, or magic fairy dust people try to apply to creating software… accurately predicting software project timelines is basically impossible.
 
There are many good reasons for this. Usually, requirements and feature ideas change on a daily/weekly basis. Often it is impossible to know what needs to be done without actually digging into the code itself. Debugging and QA can take an extraordinary amount of time.
 
And worst of all…
 
Project Managers are always pushing for shorter timelines. They largely have no respect for reality. So, at some point they are given estimates just to make them feel better about planning.
 
No matter how much planning and estimation you do, it will be wrong. At best it will be directionally correct +/- 300% of what you estimated. So, a one year project could actually take anywhere between 0 and 5 years, maybe even 10 years.
 
If you think I’m joking, look at how many major ERP projects that go over time and over budget by many years and many hundreds of millions of dollars. Look at the F-35 fighter jet software issues.
 
Or in the small, you can find many cases where a “simple bug fix” can take days when you thought it was hours.
 
All estimates are lies made up to make everyone feel better. I’ve never met a developer or manager who could accurately estimate software projects even as well as the local weatherman(or woman) predicts the weather.
 
Number Two - Productivity Is Unevenly Distributed
 
What if I told you that in the average eight hour work day the majority of the work will get done in a 30 minute timeframe? Sound crazy?
 
Well, for most programmers there is a 30–90 minute window where you are extraordinarily productive. We call this the flow state.
 
Being in the flow state is wonderful and amazing. It often is where the “magic” of building software happens.
 
Getting into flow can be difficult. It’s akin to meditation in that you have to have a period of uninterrupted focus of say 30 minutes to “get in” the flow, but a tiny interruption can pull you right out.
 
Now consider the modern workplace environment. Programmers work in open office environments where they are invited to distract each other constantly.
 
Most people need a 1–2 hour uninterrupted block to get 30–90 minutes of flow.
 
Take the 8 hour day and break it in half with a lunch break, and then pile in a few meetings and all of a sudden you are lucky to get one decent flow state session in place.
 
That is why I say that most of the work that gets done happens in a 30 minute timeframe. The other 7–8 hours are spent being distracted, answering email, going to meetings, hanging around the water cooler, going to the bathroom, and trying to remember what you were working on before all these distractions.
 
Ironically, writers, musicians, and other creative professionals have their own version of this problem and largely work alone and away from other people when they are creating new things.
 
Someday the programming world might catch on, but I doubt it.
 
Even if this became obvious, it doesn’t sit well with most companies to think that programmers would be paid for an 8 hour day and only be cranking out code for a few hours on a good day. Some corporate middle manager would probably get the bright idea to have mandatory flow state training where a guru came in and then there would be a corporate policy from a pointy haired boss mandating that programmers are now required to spend 8 hours a day in flow state and they must fill out forms to track their time and notify their superiors of their flow state activities, otherwise there would be more meetings about the current flow state reports not being filed correctly and that programmers were spending too much time “zoning out” instead of being in flow.
 
Thus, programmers would spent 7–8 hours a day pretending to be in flow state, reporting on their progress, and getting all their work done in 30 minutes of accidental flow state somewhere in the middle of all that flow state reporting.
 
If you think I’m joking about this, I’m not. I promise you this is what would happen to any company of more than 2 employees. (Even the ones run by programmers.)
 
Number Three - It Will Cost 10x What You Think
 
Being a programmer, I get a lot of non-programmers telling me about their brilliant app ideas. Usually they want me to build something for free and are so generous as to pay me up to 5% of the profits for doing 100% of the work.
 
Their ideas are just that good.
 
Now, I gently tell them that I’m not interested in building anything for free.
 
At that point they get angry, but a few ask how much it will cost. I give them a reasonable (and very incorrect) estimate of what it would cost to create the incredibly simple version of their app idea.
 
Let’s say it’s some number like $25,000.
 
They look at me like I’m a lunatic, and so I explain how much it costs to hire a contract programmer and how long it will actually take. For example’s sake let’s say it is $100/hr for 250 hours.
 
To be clear, these are made up numbers and bad estimates (See Number One for details…)
 
In actuality, to build the actual thing they want might cost $250,000, or even $2,500,000 when it’s all said and done.
 
Building software can be incredibly complex and expensive. What most people can’t wrap their head around is the fact that a company like Google, Apple, or Microsoft has spent BILLIONS of dollars to create something that looks so simple to the end user.
 
Somehow, the assumption is that something that looks simple is cheap and fast to build.
 
Building something simple and easy for the end user is time consuming and expensive. Most people just can’t do it.
 
So, the average person with a brilliant app idea thinks it will cost a few hundred or maybe a few thousand dollars to make and it will be done in a weekend is so off the mark it’s not worth considering their ideas.
 
And programmers are too eager to play along with these bad ideas (by making bad estimates and under charging for their time) that this notion is perpetuated to the average non-programmer.
 
So, a good rule of thumb is that software will cost 10 times as much as you think and take 10 times as long to finish.
 
And that leads to a bonus point…
 
BONUS - Software Is Never Done
 
Programmers never complete a software project, they only stop working on it. Software is never done.
 
I’ve worked at many software companies and I’ve never seen a software project “completed”.
 
Sure, software gets released and used. But, it is always changing, being updated, bugs get fixed, and there are always new customer requests for features.
 
Look at your favorite software and you’ll quickly realize how true this is. Facebook, Instagram, Google Search, Google Maps, GMail, iOS, Android, Windows, and now even most video games are never done.
 
There are small armies of developers just trying to keep all the software you use every day stable and bug free. Add on the fact that there are always feature requests, small changes, and new platforms to deal with, it’s a treadmill.
 
So, the only way out of the game is to stop working on software. At that point, the software begins to decay until it is no longer secure or supported.
 
Think about old Windows 3.1 software or maybe old Nintendo Cartridge video games. The current computers and video game consoles don’t even attempt to run that software anymore.
 
You can’t put an old video game in your new Nintendo Switch and have it “just work”. That is what happens when you think software is done.
 
When programmers stop working on software the software starts to die. The code itself is probably fine, but all the other software keeps moving forward until your software is no longer compatible with the current technology.
 
So, those are the four most important things that non-programmers should know about programming. I know you asked for only three, so I hope the bonus was valuable to you as well.

Let’s face it, fad or not, companies are starting to ask themselves how they could possibly use machine learning and AI technologies in their organization. Many are being lured by the promise of profits by discovering winning patterns with algorithms that will enable solid predictions… The reality is that most technology and business professionals do not have sufficient understanding of how machine learning works and where it can be applied.  For a lot of firms, the focus still tends to be on small-scale changes instead of focusing on what really matters…tackling their approach to machine learning.

In the recent Wall Street Journal article, Machine Learning at Scale Remains Elusive for Many Firms, Steven Norton captures interesting comments from the industry’s data science experts. In the article, he quotes panelists from the MIT Digital Economy Conference in NYC, on businesses current practices with AI and machine learning. All agree on the fact that, for all the talk of Machine Learning and AI’s potential in the enterprise, many firms aren’t yet equipped to take advantage of it fully.

Panelist,  Michael Chui, partner at McKinsey Global Institute states that “If a company just mechanically says OK, I’ll automate this little activity here and this little activity there, rather than re-thinking the entire process and how it can be enabled by technology, they usually get very little value out of it. “Few companies have deployed these technologies in a core business process or at scale.”

Panelist, Hilary Mason, general manager at Cloudera Inc., had this to say, “With very few exceptions, every company we work with wants to start with a cost-savings application of automation.” “Most organizations are not set up to do this well.”

As someone who works in many facets of the music industry, I used to seethe with a mixture of anger and jealousy when I would hear people in more “traditional” goods-based industries argue in favor of music content-based piracy. They made all the classic talking points, like “I wouldn’t spend money on this artist normally, and maybe if I like it I’ll spend money on them when they come to town” (which never happened), or “artists are rich and I’m poor, they don’t need my money” (rarely the case), or the worst, “if it were fairly priced and worth paying for, I’d buy it” (not true).  I always wondered if they’d have the same attitude if 63% of the things acquired by customers in their industries weren’t actually paid for, as was conservatively estimated as the case for the music industry in 2009 (other estimations put the figure of pirated music at 95%). Well, we may soon see the answer to curiosities like that. Though one can say with tentative confidence that music piracy is on the decline thanks to services like Spotify and Rdio, it could be looming on the horizon for the entire global, physical supply chain. Yes, I’m talking about 3d printers.

Before I get into the heart of this article, let me take a moment to make one thing clear: I think these machines are incredible. It’s damn near inspiring to think of even a few of their potentially world-changing applications: affordable, perfectly fit prosthetic limbs for wounded servicemen and women; the ability to create a piece of machinery on the spot instead of having to wait for a spare to arrive in the mail, or en route if your car or ship breaks down in a far away place; a company based out of Austin, TX even made a fully functioning firearm from a 3d printer a few months ago.

If these machines become as consumer-friendly and idiot-proof as possible (like computers), it’s possible that in a matter of decades (maybe less), a majority of U.S. households will have their own 3d printer. There’s also the possibility they could take the tech-hobbyist path, one that is much less appealing to the masses. Dale Dougherty of Makezine.com estimates there are currently around 100,000 “personal” 3d printers, or those not owned for business or educational purposes. I don’t think they’ll ever be as ubiquitous as computers, but there are plenty of mechanically inclined, crafty hobbyists out there who would love to play around with a 3d printer if it was affordable enough.

That being said, is there reason to worry about the economic implications of consumers making what they want, essentially for free, instead of paying someone else to produce it? Or will the printers instead be used for unique items more so than replicating and ripping off other companies’ merchandise in mass amounts? The number of people working in industries that would be affected by a development like this is far greater than the number of people who work in content-based industries, so any downturn would probably have a much larger economic implications. Certainly, those times are a ways off, but a little foresightedness never hurt anyone!

Wondering why Cisco is teaching network engineers Python in addition to their core expertise?
 
Yes, arguably there are many other tools available to use to automate the network without writing any code. It is also true that when code is absolutely necessary, in most companies software developers will write the code for the network engineers. However, networks are getting progressively more sophisticated and the ability for network engineers to keep up with the rate of change, scale of networks, and processing of requirements is becoming more of a challenge with traditional methodologies. 
 
Does that mean that all network engineers have to become programmers in the future? Not completely, but having certain tools in your tool belt may be the deciding factor in new or greater career opportunities. The fact is that current changes in the industry will require Cisco engineers to become proficient in programming, and the most common programming language for this new environment is the Python programming language. Already there are more opportunities for those who can understand programming and can also apply it to traditional networking practices. 
 
Cisco’s current job boards include a search for a Sr. Network Test Engineer and for several Network Consulting Engineers, each with  "competitive knowledge" desired Python and Perl skills. Without a doubt, the most efficient network engineers in the future will be the ones who will be able to script their automated network-related tasks, create their own services directly in the network, and continuously modify their scripts. 
 
Whether you are forced to attend or are genuinely interested in workshops or courses that cover the importance of learning topics related to programmable networks such as Python, the learning curve at the very least will provide you with an understanding of Python scripts and the ability to be able to use them instead of the CLI commands and the copy and paste options commonly used.  Those that plan to cling to their CLI will soon find themselves obsolete.
 
As with anything new, learning a programming language and using new APIs for automation will require engineers to learn and master the skills before deploying widely across their network. The burning question is where to start and which steps to take next? 
 
In How Do I Get Started Learning Network Programmability?  Hank Preston – on the Cisco blog page suggest a three phase approach to diving into network programmability.
 
“Phase 1: Programming Basics
In this first phase you need to build a basic foundation in the programmability skills, topics, and technologies that will be instrumental in being successful in this journey.  This includes learning basic programming skills like variables, operations, conditionals, loops, etc.  And there really is no better language for network engineers to leverage today than Python.  Along with Python, you should explore APIs (particularly REST APIs), data formats like JSON, XML, and YAML. And if you don’t have one already, sign up for a GitHub account and learn how to clone, pull, and push to repos.
 
Phase 2: Platform Topics
Once you have the programming fundamentals squared away (or at least working on squaring them away) the time comes to explore the new platforms of Linux, Docker, and “the Cloud.”  As applications are moving from x86 virtualization to micro services, and now serverless, the networks you build will be extending into these new areas and outside of traditional physical network boxes.  And before you can intelligently design or engineer the networks for those environments, you need to understand how they basically work.  The goal isn’t to become a big bushy beard wearing Unix admin, but rather to become comfortable working in these areas.
 
Phase 3: Networking for Today and Tomorrow
Now you are ready to explore the details of networking in these new environments.  In phase three you will dive deep into Linux, container/Docker, cloud, and micro service networking.  You have built the foundation of knowledge needed to take a hard look at how networking works inside these new environments.  Explore all the new technologies, software, and strategies for implementing and segmenting critical applications in the “cloud native” age and add value to the application projects.”
 
Community resources: 
GitHub’s, PYPL Popularity of Programming Language lists Python as having grown 13.2% in demand in the last 5 years. 
Python in the  June 2018 TIOBE Index ranks as the fourth most popular language behind Java, C and C++. 
 
Despite the learning curve, having Python in your tool belt is without a question a must have tool.

Tech Life in Massachusetts

It?s no wonder that Massachusetts is a hub of major activity in information technology with a collection of 121 institutions for higher education. In 2007 Mass. impressively scored the highest of all the states in math on the National Assessments of Educational Progress. Some fun facts about Massachusest: - The first U.S.Postal zip code in Massachusetts is 01001 at Agawam. - The Boston University Bridge on Commonwealth Avenue in Boston is the only place in the world where a boat can sail under a train driving under a car driving under an airplane.
Learn as if you were not reaching your goal and as though you were scared of missing it Confucius
other Learning Options
Software developers near Cambridge have ample opportunities to meet like minded techie individuals, collaborate and expend their career choices by participating in Meet-Up Groups. The following is a list of Technology Groups in the area.
Fortune 500 and 1000 companies in Massachusetts that offer opportunities for Foundations of Web Design & Web Authoring developers
Company Name City Industry Secondary Industry
Cabot Corporation Boston Telecommunications Telephone Service Providers and Carriers
LPL Financial Boston Financial Services Personal Financial Planning and Private Banking
NSTAR Gas and Electric Company Westwood Energy and Utilities Gas and Electric Utilities
Cabot Corporation Boston Manufacturing Plastics and Rubber Manufacturing
BJ's Wholesale Club, Inc. Westborough Retail Department Stores
American Tower Corporation Boston Telecommunications Telecommunications Equipment and Accessories
Hologic, Inc. Bedford Healthcare, Pharmaceuticals and Biotech Medical Devices
Global Partners LP Waltham Retail Gasoline Stations
Northeast Utilities Boston Energy and Utilities Gas and Electric Utilities
Liberty Mutual Holding Company Boston Financial Services Insurance and Risk Management
Staples Inc. Framingham Computers and Electronics Office Machinery and Equipment
Thermo Fisher Scientific Inc. Waltham Healthcare, Pharmaceuticals and Biotech Medical Devices
Hanover Insurance Group, Inc. Worcester Financial Services Insurance and Risk Management
The TJX Companies, Inc. Framingham Retail Department Stores
Iron Mountain, Inc. Boston Software and Internet Data Analytics, Management and Storage
Massachusetts Mutual Financial Group Springfield Financial Services Insurance and Risk Management
Beacon Roofing Supply, Inc. Peabody Manufacturing Concrete, Glass, and Building Materials
Raytheon Company Waltham Software and Internet Software
Analog Devices, Inc. Norwood Computers and Electronics Consumer Electronics, Parts and Repair
Biogen Idec Inc. Weston Healthcare, Pharmaceuticals and Biotech Biotechnology
Boston Scientific Corporation Natick Healthcare, Pharmaceuticals and Biotech Medical Supplies and Equipment
PerkinElmer, Inc. Waltham Computers and Electronics Instruments and Controls
State Street Corporation Boston Financial Services Trust, Fiduciary, and Custody Activities
EMC Corporation Hopkinton Computers and Electronics Networking Equipment and Systems

training details locations, tags and why hsg

A successful career as a software developer or other IT professional requires a solid understanding of software development processes, design patterns, enterprise application architectures, web services, security, networking and much more. The progression from novice to expert can be a daunting endeavor; this is especially true when traversing the learning curve without expert guidance. A common experience is that too much time and money is wasted on a career plan or application due to misinformation.

The Hartmann Software Group understands these issues and addresses them and others during any training engagement. Although no IT educational institution can guarantee career or application development success, HSG can get you closer to your goals at a far faster rate than self paced learning and, arguably, than the competition. Here are the reasons why we are so successful at teaching:

  • Learn from the experts.
    1. We have provided software development and other IT related training to many major corporations in Massachusetts since 2002.
    2. Our educators have years of consulting and training experience; moreover, we require each trainer to have cross-discipline expertise i.e. be Java and .NET experts so that you get a broad understanding of how industry wide experts work and think.
  • Discover tips and tricks about Foundations of Web Design & Web Authoring programming
  • Get your questions answered by easy to follow, organized Foundations of Web Design & Web Authoring experts
  • Get up to speed with vital Foundations of Web Design & Web Authoring programming tools
  • Save on travel expenses by learning right from your desk or home office. Enroll in an online instructor led class. Nearly all of our classes are offered in this way.
  • Prepare to hit the ground running for a new job or a new position
  • See the big picture and have the instructor fill in the gaps
  • We teach with sophisticated learning tools and provide excellent supporting course material
  • Books and course material are provided in advance
  • Get a book of your choice from the HSG Store as a gift from us when you register for a class
  • Gain a lot of practical skills in a short amount of time
  • We teach what we know…software
  • We care…
learn more
page tags
what brought you to visit us
Cambridge, Massachusetts Foundations of Web Design & Web Authoring Training , Cambridge, Massachusetts Foundations of Web Design & Web Authoring Training Classes, Cambridge, Massachusetts Foundations of Web Design & Web Authoring Training Courses, Cambridge, Massachusetts Foundations of Web Design & Web Authoring Training Course, Cambridge, Massachusetts Foundations of Web Design & Web Authoring Training Seminar

Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.