Agile/Scrum Training Classes in Trenton, New Jersey
Learn Agile/Scrum in Trenton, NewJersey 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 Agile/Scrum related training offerings in Trenton, New Jersey: Agile/Scrum Training
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7 July, 2025 - 8 July, 2025 - RED HAT ENTERPRISE LINUX SYSTEMS ADMIN I
3 November, 2025 - 7 November, 2025 - RED HAT ENTERPRISE LINUX AUTOMATION WITH ANSIBLE
15 September, 2025 - 18 September, 2025 - RHCSA EXAM PREP
17 November, 2025 - 21 November, 2025 - Python for Scientists
4 August, 2025 - 8 August, 2025 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
Machine learning systems are equipped with artificial intelligence engines that provide these systems with the capability of learning by themselves without having to write programs to do so. They adjust and change programs as a result of being exposed to big data sets. The process of doing so is similar to the data mining concept where the data set is searched for patterns. The difference is in how those patterns are used. Data mining's purpose is to enhance human comprehension and understanding. Machine learning's algorithms purpose is to adjust some program's action without human supervision, learning from past searches and also continuously forward as it's exposed to new data.
The News Feed service in Facebook is an example, automatically personalizing a user's feed from his interaction with his or her friend's posts. The "machine" uses statistical and predictive analysis that identify interaction patterns (skipped, like, read, comment) and uses the results to adjust the News Feed output continuously without human intervention.
Impact on Existing and Emerging Markets
The NBA is using machine analytics created by a California-based startup to create predictive models that allow coaches to better discern a player's ability. Fed with many seasons of data, the machine can make predictions of a player's abilities. Players can have good days and bad days, get sick or lose motivation, but over time a good player will be good and a bad player can be spotted. By examining big data sets of individual performance over many seasons, the machine develops predictive models that feed into the coach’s decision-making process when faced with certain teams or particular situations.
General Electric, who has been around for 119 years is spending millions of dollars in artificial intelligence learning systems. Its many years of data from oil exploration and jet engine research is being fed to an IBM-developed system to reduce maintenance costs, optimize performance and anticipate breakdowns.
Over a dozen banks in Europe replaced their human-based statistical modeling processes with machines. The new engines create recommendations for low-profit customers such as retail clients, small and medium-sized companies. The lower-cost, faster results approach allows the bank to create micro-target models for forecasting service cancellations and loan defaults and then how to act under those potential situations. As a result of these new models and inputs into decision making some banks have experienced new product sales increases of 10 percent, lower capital expenses and increased collections by 20 percent.
Emerging markets and industries
By now we have seen how cell phones and emerging and developing economies go together. This relationship has generated big data sets that hold information about behaviors and mobility patterns. Machine learning examines and analyzes the data to extract information in usage patterns for these new and little understood emergent economies. Both private and public policymakers can use this information to assess technology-based programs proposed by public officials and technology companies can use it to focus on developing personalized services and investment decisions.
Machine learning service providers targeting emerging economies in this example focus on evaluating demographic and socio-economic indicators and its impact on the way people use mobile technologies. The socioeconomic status of an individual or a population can be used to understand its access and expectations on education, housing, health and vital utilities such as water and electricity. Predictive models can then be created around customer's purchasing power and marketing campaigns created to offer new products. Instead of relying exclusively on phone interviews, focus groups or other kinds of person-to-person interactions, auto-learning algorithms can also be applied to the huge amounts of data collected by other entities such as Google and Facebook.
A warning
Traditional industries trying to profit from emerging markets will see a slowdown unless they adapt to new competitive forces unleashed in part by new technologies such as artificial intelligence that offer unprecedented capabilities at a lower entry and support cost than before. But small high-tech based companies are introducing new flexible, adaptable business models more suitable to new high-risk markets. Digital platforms rely on algorithms to host at a low cost and with quality services thousands of small and mid-size enterprises in countries such as China, India, Central America and Asia. These collaborations based on new technologies and tools gives the emerging market enterprises the reach and resources needed to challenge traditional business model companies.
With the rise of the smart phone, many people who have long seen themselves as non-gamers have began to download and play to occupy themselves throughout the day. If you're a game developer who has a history of writing your code in C#, then perhaps this still emerging market is something you should consider taking advantage of. This, however, will require the familiarization with other programming languages.
One option for moving away from the C# language is to learn Java. Java is the programming used for apps on the android platform, billions of phones run on this programming language.
If you want to break into the android market, then learning Java is an absolute must.
There are both some pros and some cons to learning java. Firstly, if you already know C# or other languages and understand how they work, then java will be relatively easy to learn due to having similar, but quite simplified, syntax to C-based languages, the class library is large and standardized, but also very well written, and you might find that it will improve the performance and portability of your creations. Not to mention, learning java opens you up to the entirety of the android app and game market, a very large and still growing market that would otherwise stay closed off to you. That's too much ad and sale money to risk missing out on.
The few cons that come with learning the language is that, when coming from other languages, the syntax may take some getting used to. This is true for most languages. The other problem is that you must be careful with the specifics of how you write your code. While java can be written in a very streamlined fashion, it's also possible to write working, but bulky, code that will slow down your programs. Practice makes perfect, and the knowledge to avoid such pitfalls within the language.
If you wish to develop for the iOS on the other hand, knowledge of Objective C is required. The most compelling reason to learn Objective C is the market that it will open you up to. According to the website AndroidAuthority.com, in the article "Google play vs. Apple app store", users of iPhones and other iOS devices are much more likely to spend money on apps rather than downloading free ones.
Though learning Objective C might be a far jump from someone who currently writes in C#, it's certainly learn-able with a little bit of practice.
What are a few unique pieces of career advice that nobody ever mentions?
Good non-programmer jobs for people with software developer experience
Technology has continued to evolve in ways that few would have been able to imagine. This has allowed electronics to become smarter, more connected and far more useful.
With the Internet of Things (IoT), they're allowing more than just computers to become connected to the Internet. This aims to make the life of the average person easier, better and more care-free.
Let's examine why the Internet of Things has become such a powerful idea that an estimated one out of every five developers currently works on an IoT project.
What is the Internet of Things?
The Internet of Things hinges on one seemingly simple concept: electronics can be embedded in machines, clothing, animals and even people to provide a networked world where the whole is more than just the sum of its parts.
For example, consider how the Internet of Things can influence things like refrigerators. They can be networked directly to the manufacturer for readings that can warn if the refrigerator is about to malfunction. They can even be connected to a grocery shopping service to allow someone to restock them automatically or to notify the owner that the refrigerator is almost out of an item.
The most interesting notion about the Internet of Things is that it's not just a situation where one “thing” connects with a party. They typically communicate with other things, which in turn allows for a network of automated processes to occur.
These processes can simplify and expedite tedious tasks to make everyday life for everyone easier, which is why projects involving the Internet of Things are so popular.
How Prevalent is IoT Development?
An estimated one in five developers are currently developing projects for the Internet of Things. Their chosen languages vary widely because of the flexibility that IoT enjoys.
For example, IoT projects that hinge on interacting with mobile phones tend to have apps written in JavaScript or Java. The back-end code that runs the IoT functionality for machines tends to be written in Assembly, C++,Java,Perl,Pythonor another compiled language for efficiency.
To put the growth of IoT work into perspective, Evans Data Corp. performed research to create predictions about IoT projects in 2014. They stated that 17% of companies would be developing IoT projects.
In this year, that figure's risen to a solid 19%. Given the fact that 44% of developers have stated that they will enter into the IoT scene this year or next, this means that development will only grow in the coming future.
The Future Involving the Internet of Things
Development of IoT-related projects will likely explode in the next few years. The advantages it brings, such as more efficient work in manufacturing environments and the projected 15% savings to the restaurant industry over the next five years, will make it one of the most valuable technological changes in the near future.
Without a comprehensive understanding of the Internet of Things and the skills to lead IoT projects, businesses and developers may find themselves falling behind. Don't let the Internet of Things pass you by.
We are not all equally motivated. Some people have more self-drive than other people. This is why we find that some people always end up at the top even when the odds are against them. An employee, with this realization, through the Human Resource department, should be able to design efficient career development systems. For this system to work, the employer must understand the nature of the business environment in which they are operating.
Why Train Employees?
The purpose of training employees is to enable them to grow with time and increase their efficiency. The business world is quite dynamic, nothing stays the same for long. Training one’s employees allows them to keep abreast with the ever changing technological advancements and many other factors that are relevant to his/her line of work. Employees cannot be expected to solve all their employer’s expectations with static skills and techniques. Even the most updated technology becomes obsolete at some point.
People are the biggest assets in organizations. For an establishment to flourish, it is important that the employer understands certain key things that help spur their development.
In a report from the Harvard Business Review, “The Impact of Employee Engagement of Performance,” the most impactful employee drivers are:
Tech Life in New Jersey
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
HCB, Inc. | Paramus | Retail | Office Supplies Stores |
Wyndham Worldwide Corp. | Parsippany | Travel, Recreation and Leisure | Hotels, Motels and Lodging |
Realogy Corporation | Parsippany | Real Estate and Construction | Real Estate Agents and Appraisers |
Church and Dwight Co., Inc. | Trenton | Manufacturing | Manufacturing Other |
Curtiss-Wright Corporation | Parsippany | Manufacturing | Aerospace and Defense |
American Water | Voorhees | Energy and Utilities | Water Treatment and Utilities |
Cognizant Technology Solutions Corp. | Teaneck | Computers and Electronics | IT and Network Services and Support |
The Great Atlantic and Pacific Tea Co. - AandP | Montvale | Retail | Grocery and Specialty Food Stores |
COVANCE INC. | Princeton | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
K. Hovnanian Companies, LLC. | Red Bank | Real Estate and Construction | Architecture,Engineering and Design |
Burlington Coat Factory Corporation | Burlington | Retail | Clothing and Shoes Stores |
GAF Materials Corporation | Wayne | Manufacturing | Concrete, Glass, and Building Materials |
Pinnacle Foods Group LLC | Parsippany | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Actavis, Inc | Parsippany | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Hudson City Savings Bank | Paramus | Financial Services | Banks |
Celgene Corporation | Summit | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
Cytec Industries Inc. | Woodland Park | Manufacturing | Chemicals and Petrochemicals |
Campbell Soup Company | Camden | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Covanta Holding Corporation | Morristown | Energy and Utilities | Energy and Utilities Other |
New Jersey Resources Corporation | Wall Township | Energy and Utilities | Gas and Electric Utilities |
Quest Diagnostics Incorporated | Madison | Healthcare, Pharmaceuticals and Biotech | Diagnostic Laboratories |
Rockwood Holdings Inc. | Princeton | Manufacturing | Chemicals and Petrochemicals |
Heartland Payment Systems, Incorporated | Princeton | Financial Services | Credit Cards and Related Services |
IDT Corporation | Newark | Telecommunications | Wireless and Mobile |
John Wiley and Sons, Inc | Hoboken | Media and Entertainment | Newspapers, Books and Periodicals |
Bed Bath and Beyond | Union | Retail | Retail Other |
The Children's Place Retail Stores, Inc. | Secaucus | Retail | Clothing and Shoes Stores |
Hertz Corporation | Park Ridge | Travel, Recreation and Leisure | Rental Cars |
Public Service Enterprise Group Incorporated | Newark | Energy and Utilities | Gas and Electric Utilities |
Selective Insurance Group, Incorporated | Branchville | Financial Services | Insurance and Risk Management |
Avis Budget Group, Inc. | Parsippany | Travel, Recreation and Leisure | Rental Cars |
Prudential Financial, Incorporated | Newark | Financial Services | Insurance and Risk Management |
Merck and Co., Inc. | Whitehouse Station | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Honeywell International Inc. | Morristown | Manufacturing | Aerospace and Defense |
C. R. Bard, Incorporated | New Providence | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
Sealed Air Corporation | Elmwood Park | Manufacturing | Plastics and Rubber Manufacturing |
The Dun and Bradstreet Corp. | Short Hills | Business Services | Data and Records Management |
The Chubb Corporation | Warren | Financial Services | Insurance and Risk Management |
Catalent Pharma Solutions Inc | Somerset | Healthcare, Pharmaceuticals and Biotech | Healthcare, Pharmaceuticals, and Biotech Other |
Becton, Dickinson and Company | Franklin Lakes | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
NRG Energy, Incorporated | Princeton | Energy and Utilities | Gas and Electric Utilities |
TOYS R US, INC. | Wayne | Retail | Department Stores |
Johnson and Johnson | New Brunswick | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Automatic Data Processing, Incorporated (ADP) | Roseland | Business Services | HR and Recruiting Services |
training details locations, tags and why hsg
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.
- We have provided software development and other IT related training to many major corporations in New Jersey since 2002.
- 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 Agile/Scrum programming
- Get your questions answered by easy to follow, organized Agile/Scrum experts
- Get up to speed with vital Agile/Scrum 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…