HARTMANN software group

Java Programming Training Classes in Santa Maria, California

Training Suggestions from the Experts

An Experienced Java developer must know

... everything or so it can seem.  A solid grasp and knowledge of Object Oriented Programming constructs such as inheritance, polymorphism, interfaces and reflection are essential.  Next in line is the knowldge to be able to import/export file data, running SQL queries, using regular expressions and, possibly, knowing how to write multi-threaded code and make socket connections.  A class that addresses most of these topics is:  Fast Track to Java 11 and OO Development.

For the more daring Java enthusiast and especially for those looking to become professional Java developers, knowledge of the Spring Framework is expected.  A perfect class for this is:  Fast Track to Spring Framework and Spring MVC/Rest.  Not only does this course provide students with a great introduction to spring, it goes beyond the basics with a solid delve into Spring and web development.

Another consideration is learning JBoss aka Wildfly, the free Application Server from RedHat.   JBoss has become the workhorse of most Java EE applications.  Add to that a class on Tomcat, the defacto servlet engine, and the student can be considered 'ready' for employment.

Call for Details: 303.377.6176

Learn Java Programming in Santa Maria, California 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 Java Programming related training offerings in Santa Maria, California: Java Programming Training

We offer private customized training for groups of 3 or more attendees.
get pricing information
Santa-Maria  Upcoming Instructor Led Online and Public Java Programming Training Classes
Fast Track to Java 17 and OO Development Training/Class 5 May, 2025 - 9 May, 2025 $2090
HSG Training Center instructor led online
Santa-Maria, California 93454
Hartmann Software Group Training Registration
Introduction to Spring 6, Spring Boot 3, and Spring REST Training/Class 12 May, 2025 - 16 May, 2025 $2090
HSG Training Center instructor led online
Santa-Maria, California 93454
Hartmann Software Group Training Registration

Java Programming Training Catalog

subcategories

Advanced Java Language Topics Class
cost: $ 690.00length: 1 day(s)
Advanced Java Programming Class
cost: $ 2090length: 5 day(s)
Advanced Java Programming(3 days) Class
cost: $ 1290length: 3 day(s)
Ajax for Java Developers Class
cost: $ 1690length: 4 day(s)
Blaze Advisor for Java Developers Class
cost: $ 2090length: 3 day(s)
Continuous Integration with Jenkins Class
cost: $ 1090length: 2 day(s)
Fast Track to Java 17 and OO Development Class
cost: $ 2090length: 5 day(s)
Fast Track to Java 8 and OO Development Class
cost: $ 2090length: 5 day(s)
Fast Track to Java for OO Developers Class
cost: $ 1290length: 3 day(s)
Gentle Java and OO Development Class
cost: $ 1690length: 4 day(s)
Intermediate - Advanced Java 11 Class
cost: $ 2250length: 5 day(s)
Intermediate Java Programming Class
cost: $ 1090length: 2 day(s)
Introduction to Java Class
cost: $ 2090length: 5 day(s)
Introduction to Java Programming Class
cost: $ 1290length: 3 day(s)
Introduction to Spark 3 with Scala Class
cost: $ 1890length: 4 day(s)
Java 11 New Features Class
cost: $ 690length: 2 day(s)
Java 8 New Features Class
cost: $ 690length: 2 day(s)
Java Best Practices and Design Patterns Class
cost: $ 2090length: 4 day(s)
Java Fundamentals Class
cost: $ 2090length: 5 day(s)
Java Fundamentals for Non-C Programmers Class
cost: $ 2090length: 5 day(s)
Java Programming Class
cost: $ 2090length: 5 day(s)
Java Programming Version 8.0 Class
cost: $ 2090length: 5 day(s)
Java Programming Introduction Class
cost: $ 2090length: 4 day(s)
Java Web Programming Class
cost: $ 1090length: 2 day(s)
Java2 Advanced Programming Class
cost: $ 1190length: 3 day(s)
JDBC - Java Database Connectivity Class
cost: $ 690.00length: 1 day(s)
Migrating to Java 8 Version 8.0 Class
cost: $ 790length: 1 day(s)
Practical Java Language Topics Class
cost: $ 690.00length: 1 day(s)
Practical Java Programming Class
cost: $ 790length: 1 day(s)
The Java Persistence API Class
cost: $ 1690length: 4 day(s)
Tomcat Administration for Linux Class
cost: $ 1390length: 3 day(s)
Tomcat Administration for Windows Class
cost: $ 1390length: 3 day(s)
Using Java 8's New Features Class
cost: $ 1090length: 2 day(s)

JBoss Administration Classes

Fast Track to EJB 3.0 Using JBoss Class
cost: $ 1290length: 3 day(s)

JUnit, TDD, CPTC, Web Penetration Classes

Express JUnit Class
cost: $ 890length: 1 day(s)

Java Enterprise Edition Classes

Fast Track to EJB 3.0 (JEE 5 level) Class
cost: $ 1290length: 3 day(s)
Fast Track to Hibernate 3.x Class
cost: $ 1290length: 3 day(s)
Fast Track to Jakarta Struts Class
cost: $ 1290length: 3 day(s)
Introduction to ICEfaces Class
cost: $ 390length: 1 day(s)
Introduction to Spring 5 (2022) Class
cost: $ 990length: 3 day(s)
Introduction to Spring 5 and JPA2 Class
cost: $ 2190length: 5 day(s)
Java Enterprise Edition 6 Class
cost: $ 1690length: 4 day(s)
JavaServer Faces Class
cost: $ 1090length: 2 day(s)
JavaServer Faces (5 day) Class
cost: $ 2090length: 5 day(s)
JPA with Hibernate Class
cost: $ 1690length: 4 day(s)
JSF Development with ICEfaces Class
cost: $ 1690length: 1 day(s)
Secure Java Web Development Class
cost: $ 2090length: 5 day(s)
Securing Java Web Applications Class
cost: $ 1690length: 4 day(s)
Struts 1.2 Programming Class
cost: $ 1290length: 3 day(s)
The JSP Standard Tag Library Class
cost: $ 790length: 2 day(s)

Java Programming Classes

Intermediate and Advanced Java 8 Class
cost: $ 2090length: 5 day(s)
Intermediate Java 7 and OO Development Class
cost: $ 2090length: 5 day(s)

Spring Classes

Fast Track to Spring 2.x Class
cost: $ 1290length: 3 day(s)
Fast Track to Spring and Hibernate Class
cost: $ 2090length: 5 day(s)
Fast Track to Spring Framework 3.x Class
cost: $ 1290length: 3 day(s)
Introduction to Spring Batch Class
cost: $ 690.00length: 1 day(s)
Spring Framework Security Class
cost: $ 1090length: 3 day(s)

Course Directory [training on all levels]

Technical Training Courses
Software engineer/architect, System Admin ... Welcome!
Business Training Courses
Project Managers, Business Analysts, Paralegals ... Welcome!
Upcoming Classes
Gain insight and ideas from students with different perspectives and experiences.

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

F# - Marching Towards Top 10 Programming Languages
[Apr, 09, 2014]    |
   Tags:

F#, which is usually pronounced as F sharp is one of the newly launched and rapidly developing programming languages.  It has recently become focus of attention due to its quick advancement to the 12th position in the recent TIOBE index and the overall rise in popularity.

What is F#?

F# is an open source, functional and object oriented programming language which is available in cross platform. It was developed by a company called F# software foundation with help of Microsoft and other open contributors. F# runs on Linux, windows, iOS, Android and the GPUs and HTML as well. It is a mature programming language which helps the users as well as the organizations to solve the complex problems in a much simpler way with easy code. With its wide range of usage in the specialist and application areas, it is proving itself to be a worthy contender for the top 10 list.

Why choose F#?

The Impact Machine Learning is Having on Emerging and Existing Markets
[May, 10, 2017]    |
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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.

Python Programming for Cisco Networking Engineers
[Jun, 25, 2018]    |
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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.
Facebook Releases C++Software Modules, May Lead To More Open Source
[Jun, 13, 2012]    |
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Facebook has recently released a collection of C++ software modules that it uses to run the popular website.  With Facebook releasing Folly (the name it designated for the collection), more of the internal programs could become open source since they need different parts of the collection.

 

Jordan DeLong, a Facebook software engineer, said one concerning holdup to releasing additional work is that any open source project had to cut away from the dependencies on non-released internal collection code.

 

Tech Life in California

Largely influenced by several immigrant populations California has experienced several technological, entertainment and economic booms over the years. As for technology, Silicon Valley, in the southern part of San Francisco is an integral part of the world’s innovators, high-tech businesses and a myriad of techie start-ups. It also accounts for 1/3rd of all venture capital investments.
If you do build a great experience, customers tell each other about that. Word of mouth is very powerful. Jeff Bezos Amazon.com founder
other Learning Options
Software developers near Santa Maria 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 California that offer opportunities for Java Programming developers
Company Name City Industry Secondary Industry
Mattel, Inc. El Segundo Retail Sporting Goods, Hobby, Book, and Music Stores
Spectrum Group International, Inc. Irvine Retail Retail Other
Chevron Corp San Ramon Energy and Utilities Gasoline and Oil Refineries
Jacobs Engineering Group, Inc. Pasadena Real Estate and Construction Construction and Remodeling
eBay Inc. San Jose Software and Internet E-commerce and Internet Businesses
Broadcom Corporation Irvine Computers and Electronics Semiconductor and Microchip Manufacturing
Franklin Templeton Investments San Mateo Financial Services Investment Banking and Venture Capital
Pacific Life Insurance Company Newport Beach Financial Services Insurance and Risk Management
Tutor Perini Corporation Sylmar Real Estate and Construction Construction and Remodeling
SYNNEX Corporation Fremont Software and Internet Data Analytics, Management and Storage
Core-Mark International Inc South San Francisco Manufacturing Food and Dairy Product Manufacturing and Packaging
Occidental Petroleum Corporation Los Angeles Manufacturing Chemicals and Petrochemicals
Yahoo!, Inc. Sunnyvale Software and Internet Software and Internet Other
Edison International Rosemead Energy and Utilities Gas and Electric Utilities
Ingram Micro, Inc. Santa Ana Computers and Electronics Consumer Electronics, Parts and Repair
Safeway, Inc. Pleasanton Retail Grocery and Specialty Food Stores
Gilead Sciences, Inc. San Mateo Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
AECOM Technology Corporation Los Angeles Real Estate and Construction Architecture,Engineering and Design
Reliance Steel and Aluminum Los Angeles Manufacturing Metals Manufacturing
Live Nation, Inc. Beverly Hills Media and Entertainment Performing Arts
Advanced Micro Devices, Inc. Sunnyvale Computers and Electronics Semiconductor and Microchip Manufacturing
Pacific Gas and Electric Corp San Francisco Energy and Utilities Gas and Electric Utilities
Electronic Arts Inc. Redwood City Software and Internet Games and Gaming
Oracle Corporation Redwood City Software and Internet Software and Internet Other
Symantec Corporation Mountain View Software and Internet Data Analytics, Management and Storage
Dole Food Company, Inc. Thousand Oaks Manufacturing Food and Dairy Product Manufacturing and Packaging
CBRE Group, Inc. Los Angeles Real Estate and Construction Real Estate Investment and Development
First American Financial Corporation Santa Ana Financial Services Financial Services Other
The Gap, Inc. San Francisco Retail Clothing and Shoes Stores
Ross Stores, Inc. Pleasanton Retail Clothing and Shoes Stores
Qualcomm Incorporated San Diego Telecommunications Wireless and Mobile
Charles Schwab Corporation San Francisco Financial Services Securities Agents and Brokers
Sempra Energy San Diego Energy and Utilities Gas and Electric Utilities
Western Digital Corporation Irvine Computers and Electronics Consumer Electronics, Parts and Repair
Health Net, Inc. Woodland Hills Healthcare, Pharmaceuticals and Biotech Healthcare, Pharmaceuticals, and Biotech Other
Allergan, Inc. Irvine Healthcare, Pharmaceuticals and Biotech Biotechnology
The Walt Disney Company Burbank Media and Entertainment Motion Picture and Recording Producers
Hewlett-Packard Company Palo Alto Computers and Electronics Consumer Electronics, Parts and Repair
URS Corporation San Francisco Real Estate and Construction Architecture,Engineering and Design
Cisco Systems, Inc. San Jose Computers and Electronics Networking Equipment and Systems
Wells Fargo and Company San Francisco Financial Services Banks
Intel Corporation Santa Clara Computers and Electronics Semiconductor and Microchip Manufacturing
Applied Materials, Inc. Santa Clara Computers and Electronics Semiconductor and Microchip Manufacturing
Sanmina Corporation San Jose Computers and Electronics Semiconductor and Microchip Manufacturing
Agilent Technologies, Inc. Santa Clara Telecommunications Telecommunications Equipment and Accessories
Avery Dennison Corporation Pasadena Manufacturing Paper and Paper Products
The Clorox Company Oakland Manufacturing Chemicals and Petrochemicals
Apple Inc. Cupertino Computers and Electronics Consumer Electronics, Parts and Repair
Amgen Inc Thousand Oaks Healthcare, Pharmaceuticals and Biotech Biotechnology
McKesson Corporation San Francisco Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
DIRECTV El Segundo Telecommunications Cable Television Providers
Visa, Inc. San Mateo Financial Services Credit Cards and Related Services
Google, Inc. Mountain View Software and Internet E-commerce and Internet Businesses

training details locations, tags and why hsg

the hartmann software group advantage
why take Java Programming Training with the hartmann software group?
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 California 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 Java Programming programming
  • Get your questions answered by easy to follow, organized Java Programming experts
  • Get up to speed with vital Java Programming 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…
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Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.