Course description
Next Level Java 9 Programming (Intermediate Java)
Next Level Java 9 Programming is a four-day, hands-on fast-track course geared for experienced developers who have prior working knowledge of basic Java 8 or Java 9 who want to take advantage of the newest features of Java 9 that can help them improve performance and functionality of their Java 9 applications. Students will explore and learn how to leverage Modules, scale applications into multi-core environments, improve performance, and become a more effective Java 9 developer.
Do you work at this company and want to update this page?
Is there out-of-date information about your company or courses published here? Fill out this form to get in touch with us.
Who should attend?
This is an intermediate level Java SE (JSE) developer course, designed for basic-level Java developers comfortable with Java 8 or should have a working knowledge in developing basic Java 9 applications.
Training content
Session: Java 9 Updates
Lesson: Review of What is New in Java 9
- Overview of 'smaller' Java 9 topics
- Java versioning
- The JDK/JRE file structure
- Deprecation
- The jdeprscan tool
- Multi-Release JAR Files
- HTML 5 compliant JavaDoc
- Lab: Creating a MRJar
Lesson: Milling Project Coin
- Changes made to the language since Java 6
- Multi-catch
- Using effectively final variables in try-with-resources
- Suppressed Exceptions
- Binary literals
- Reserved underscore (Java 9)
- Type inference in anonymous classes (Java 9)
- @SafeVargs (updates in Java 9)
- Default and static methods in interfaces (Java 8)
- Private methods in interfaces (Java 9)
- Lab: Try-With-Resources
Session: The Java Module system (Jigsaw)
Lesson: Why JigSaw?
- Problems with Classpath
- Encapsulation and the public access modifier
- Application memory footprint
- Java 8’s compact profile
- Using internal JDK APIs
Lesson: Introduction to the Module System
- Introduce Project Jigsaw
- Classpath and Encapsulation
- The JDK internal APIs
- Java 9 Platform modules
- Defining application modules
- Define module dependencies
- Implicit dependencies
- Implied Readability
- Exporting packages
- Lab: Defining Modules
Lesson: The Module Descriptor
- Define module requirements
- Explain qualified exports
- Open modules for reflection
- Use ServiceLoader
- The provides and uses keywords
- Lab: Modules and the ServiceLoader
- Lab: Using Reflection on modules
Lesson: Working with Modules
- Being backwards compatible
- The ModulePath and ClassPath
- Unnamed Modules
- Automatic Modules
- The JLink tool
- Lab: Migrating to modules
Session: JShell
Lesson: JShell
- Introduction to JShell
- Running Expressions in JShell
- Importing packages
- Defining methods and types
- Using the JShell editor
- Save and loading state
- Lab: Working with JShell
Session: More Java 9
Lesson: Other New Java 9 Features
- Enhancements on the Optional class
- Improvements made in the Process API
- The Stack-Walking API
- The HTTP2 Client
- The Multi-Resolution API
- Lab: Working with Native processes
- Lab: HTTP Clients
Lesson: Performance Optimizations
- Performance in Java 9
- Compact Strings
- String deduplication
- Ahead-Of-Time Compilation
- Hotspot Diagnostic commands
- The G1 Garbage collector
- Variable and Method Handles
Lesson: Memory Management (Optional)
- Understand memory management in Java
- Discuss the various garbage collectors
- The Garbage-First (G1) Garbage Collector
Session: Multithreading and Concurrency
Lesson: Multithreading
- Principles of Multithreading
- Creating a Threaded Class
- Basic Features of the Thread Class
- Thread Scheduling
- Thread Synchronization
- Lab: Simple Thread Class
- Lab: Simple Runnable Class
Lesson: Concurrent Java
- Concurrent Locks are Explicit and Flexible
- Executor Interfaces Provide Thread Management
- Challenges for Concurrent Use of Collections
- Concurrent Collections
- Atomic Variables Avoid Synchronization
- Lab: Working with Concurrent Java
- Lab: Sleeping Threads
- Lab: Safe Data Access
- Lab: Producer/Consumer
Lesson: Java 8 Concurrency Updates
- The common thread pool
- Atomic variables
- LongAdder and LongAccumulator
- CompletableFuture
- Non-blocking asynchronous tasks
- Lab: CompletableFuture
Session: Reflection and References
Lesson: Introspection and Reflection
- Reflection classes
- Introspection
- Dynamic invocation of methods
- Using annotations
- Type annotations
- Receiver parameter
- Lab: Introspection and Reflection
- Lab: Reflection Server
Lesson: Reference Objects
- List the kinds of object references available in Java
- Introduce Weak, Soft and PhantomReference
- Explain the ReferenceQueue
Session: Effective Java
Lesson: Objects, Declarations, and Initializations
- Abstraction and Responsibilities
- Low Coupling
- Programming principles
- Inheritance
Lesson: Exceptions
- Proper use of Exceptions
- Managing state in exceptional situations
- Checked vs. Unchecked Exceptions
Session: Writing High-Performance Applications
Lesson: Profiling and Benchmarking
- List and describe the two types of benchmarks
- Describe the criteria that should be considered when constructing a benchmark plan
- Name the three most useful targets for profiling
- List four common tools/techniques for profiling
- Describe two strategies for improving performance as a result of profiling data
- List and explain the five most common problem areas for good performance with Java
Lesson: Profiling Tools
- Use the JDK to collect runtime profiling data
- Successfully read the profiling data generated by the JDK to detect performance bottlenecks
- Instrument your own code to collect method execution time data
- Lab: Using the JVM Profiling Tools and Visual VM
Lesson: Code Optimization Techniques
- List three potential problems with strings
- List two ways to optimize loops
- Describe the advantages of private and final methods
- List two advantages of collections over vectors and hashtables
- List 4 other code and system optimizations
- Lab: Code Optimizations
Lesson: Code Optimization Myths
- Debunk several myths of Java performance tuning
- Synchronization trade-offs
- Setting methods to be final
- String is not always bad
- Revisit the fundamentals of Java code performance
- How to detect a performance myth
Lesson: Design Optimization Techniques
- List five ways to optimize Java program design
- Lab: Design Optimizations Lombok
Costs
- Price: $2,495.00
- Discounted Price: $1,621.75
Quick stats about Trivera Technologies LLC?
Over 25 years of technology training expertise.
Robust portfolio of over 1,000 leading edge technology courses.
Guaranteed to run courses and flexible learning options.
Contact this provider
Trivera Technologies
Trivera Technologies is a IT education services & courseware firm that offers a range of wide professional technical education services including: end to end IT training development and delivery, skills-based mentoring programs,new hire training and re-skilling services, courseware licensing and...