TRAINING | CERTIFICATION | PLACEMENT
Full Stack Java Developer Master’s Program – Fully Practical Program!
Step-by-step guidance to Full Stack Java Developer!
Most compressive program on Full Stack Java Developer!
100% Placement Assistance – Learn Full Stack Java and win job opportunities in no time!
Enroll Now
Duration
100+ Hours of Comprehensive Live Sessions including Industry-Based Assessments and Projects.
Mode
Online / Offline
Validity
6 Months from Purchase
Eligibility
Freshers, Any Graduates, Any Post-Graduate, Any Engineers, Working Professionals, Tech Enthusiasts, or Entrepreneurs.
Introduction
Java is a simple programming language. Java makes writing, compiling, and debugging
programming easy. It helps to create reusable code and modular programs. Java is a class-based,
object-oriented programming language and is designed to have as few implementation
dependencies as possible.
A full-stack Java developer is a programmer who works with Java, a popular programming
language. These specialists write code in all three layers of a web-based application: the front-end,
the back-end, and the database layer. Front-end development entails creating items that appear to
users as they interact with the application. Back-end development refers to the data that underpins
an application's visible features. The database layer serves as storage and assists the application
in retrieving data from the other two layers.
Our full stack developer program in Java is industry-oriented, recognized, and rewarded across the
IT sector! Java is one of the most popular OOP languages for the development of enterprise
applications. Java can also be used for the development of console, desktop, web, electronic
device and android applications. Due to its robust nature, it is wildly used in the industry and has
lots of high salary job opportunities. These opportunities are only available for candidates having
good knowledge of java technology, due to the steep learning curve there are not many skills
resources available in the industry.
Our Full Stack Java Developer program is designed to give you an essence of front-end,
middleware, and back-end Java web developer technologies. This Program will help you to gain all
the necessary knowledge required to be a full stack java developer, you will learn required tools
and technologies from our industry experts and you will create model projects here by applying the
knowledge acquired, which you can showcase in the interview.
Core Java – Core Java is the basic concept in Java-like variables, data types, arrays, OOPS, etc.
You will see the overview of the entire core Java concepts here. Core Java is usually a part of the
Java SE edition that allows you to develop general Java applications.
JDBC – Java Database Connectivity (JDBC) is an application programming interface (API) for the
programming language Java, which defines how a client may access a database. It is a Java-
based data access technology used for Java database connectivity.
Servlet – A servlet is a Java programming language class that is used to extend the capabilities of
servers that host applications accessed by means of a request-response programming model.
Although servlets can respond to any type of request, they are commonly used to extend the
applications hosted by web servers.
JSP – It stands for Java Server Pages. It is a server-side technology. It is used for creating web
application. It is used to create dynamic web content. In this JSP tags are used to insert JAVA
code into HTML pages.
Hibernate – Hibernate is an open-source Object-Relational Persistence and Query service for any
Java Application. Hibernate maps Java classes to database tables and from Java data types to
SQL data types and relieves the developer from most common data persistence related
programming tasks.
Spring & Spring Boot – Spring Framework (Spring) is an open-source application framework that
provides infrastructure support for developing Java applications. One of the most popular Java
Enterprise Edition (Java EE) frameworks, Spring helps developers create high performing
applications using plain old Java objects (POJOs).
Web Services – A web service is a software system that supports interoperable machine-to-
machine interaction over a network. It has an interface described in a machine-processable format
(specifically, web Service Definition Language, or WSDL). web services fulfill a specific task or a
set of tasks.
Microservices – Microservices are an architectural and organizational approach to software
development where software is composed of small independent services that communicate over
well-defined APIs.
Learning Outcome
After the completion of training, the participants would be able to:
- Understand the concept of Core Java, Advance Java, Hibernate Framework, Spring Boot With Microservices and REST API & Data JPA
- We focus on developing Java full stack developer skills to enable our students to perform and deliver according to industry standards
- Data Structures & Algorithms (DSA)
- Build core logic of web application using Core Java
- Provide hands-on practice on tools like Hibernate, Spring
- Help you in building end-to-end applications based on knowledge gained
- Help you improve your communication skills and aptitude skills
- Participants will be able to work on industry-based projects
Why Should You Choose INFYNAS For Java Training?
Our Full Stack Java Developer program is specially designed by industry experts and if you
are serious about a career pertaining to Full Stack Java Developer, then you are at the right
place. Infynas Learning Solutions is considered to be one of the best Java training institutes.
We have built careers for lot of Java professionals in various MNCs. “Training to Job
Placement” – is our forte. We do the necessary hand-holding until you are placed. Our expert
trainers will help you with upskilling the concepts, to complete the assignments and live
projects. Our trainers are experienced professionals and currently working with top MNCs
who keep live projects that assist pupils to learn in a much better manner. We ensure that
the students work on live jobs so that they learn and relate things quickly and improve their
skills well. We have a dedicated placement team who work with partners to facilitate the
interviews to help the participants getting placed.
Course Highlights
Who is This Course For?
Individuals and Professionals who can consider Full Stack Java Developer program as a
next logical move to enhance their careers. We welcome Freshers from any stream, Any
Graduates, Any Post-Graduate, Any Engineers, Working Professionals from any domain,
Tech Enthusiasts, Entrepreneurs, and those who see the future in the Data Science
industry. There’s a lot behind learning the Data science, because of its vast scope and it is
expected to be the most attractive industry in the coming generations
Course Objectives
Understand Java applications
Understand Advance Java (J2EE)
Understand Hibernate Framework
Understand Spring Boot with Microservices
Understand REST API & Data JPA
Understand basic concept of Docker & Kubernetes
Understand basic concept of DevOps (Jenkins & Maven)
Understand GitHub, AWS and Agile
Understand Web Services
Course Curriculum
- Introduction to Java
- Why Java
- Features of Java
- Environment Setup
- Hello World Application
- Java Program Internal
- JDK, JRE, JVM
- JVM- Java Virtual Machine
- Class, Objects, Data Types
- Variables
- Type Casting
- Operators
- Java Comments
- Object Oriented Programming Concepts
o Abstraction
o Encapsulation
o Polymorphism
o Inheritance
- Java Coding Standards
- Package – Creating package, naming package
- Java Keywords
- Access Specifiers – Public, Private, Protected, Default
- Static Concept – Block, Variable, Method, Class
- Scanner Class
- Control Statement – If, If…else, Nested if…else and SwitchCase
- Java Break Statement
- Java Continue Statement
- Flow Statement- for, while, do..while
- Constructor- Default, Parameterized
- Inheritance
- Extends, super and this keyword
- Method Overloading, Method Overriding
- Interface
- Abstract Class
- Abstract Class vsInterface
- Garbage Collection
- Marker Interface
- Serialization
- Transient
- Java instanceof
- Instance initializer block
- Volatile Keyword in Java
- Exception Handling
- Exception Handling- try, catch, throw, throws, finally
- String Concept
o String Basics
o String Methods
o String Buffer
o String Builder
- Custom Immutable Class
- Java - Arrays
- Collection Framework
o Collection Basics
o Iterator Interface
o Methods of Collection Interface
o List
- Array List
- Linked List
- Vector
o Set
- Hash Set
- Tree Set
o 3. Map
- Hash Map
- Tree Map
- Hashtable
- Collection Framework Advance Concepts
o Comparable Interface
o Comparator Interface
o Collections class
o Differentiate Comparable and Comparator
- Java Enum
- Date Concept
- File Handling Concept
o File Handling Basics
o Create Folder
o Create File- .txt. .pdf, .xlsx, .docs, etc
o Write File
o Read File
o Delete File
- Thread
o Concept, Lifecycle
o Extends Thread
o Implement Runnable Interface
o Thread Priorities
o Thread Methods
- Multithreading
- Thread Synchronization
o Synchronization
o Object Locking
o Inter Thread Communication
- JDK 1.8.0 New Features with Hands-on
o Lambda Expression
o Functional Interface
o Default Method in Interface
o Static Method in Interface
o Method References
o Date Time API
o Stream API
o Collectors
o For each Loop
o String Joiner Class
o Parallel Sort
o Optional Class
- Java Mail API- Realtime Live Implementation
- JDBCIntroduction
- JDBCArchitecture
- DatabaseOverview
- JDBC Basics
- MySQL
- Create Database
- Create Table
- Insert, Update, Delete
- Truncate
- SQLJoin
o • Inner Join
o • Left Outer Join
o • Right Outer Join
o • Full Outer Join
- Aggregate Function
o MIN
o MAX
o AVG
o SUM
o COUNT
- SQL HAVING Clause
- GROUP BY
- ORDER BY
- SQL Aliases
- SQL LIKE Operator
- SQL IN
- SQL NOT IN
- SQL Between
- SQL Null Values
- SQL TOP
- SQL LIMIT
- SQL Stored Procedures
- Java Application Using JDBC Connectivity
- Handling SQLExceptions
- DriverManager
- ResultSet
- Connection
- Statement
- Prepared Statement
- Collable Statement
- DB Connectivity Steps
- Store Image in SQL
- Read Image in SQL
- SQL Queries using SQLYog
- JDBC CRUD Application
- Introduction
- Web application Architecture
- Http Protocol & Http Methods
- Web Server & Web Container
- Servlet Interface
- GenericServlet
- HttpServlet
- Servlet Life Cycle
- ServletConfig
- ServletContext
- Servlet Communication
o Servlet-Browser communication
- sendError
- setHeader
- sendRedirect
o Web-component Communication
- Forward
- Include
o Servlet-Applet Communication
- Session Tracking Mechanisms
o HttpSession
o Cookies
o URL-Rewriting
o Hidden-Form Fields
- Filters & Wrappers
- Listeners
- Web-Security
- Introduction
- Jsp LifeCycle
- Jsp Implicit Objects & Scopes
- Jsp Directives
o page
o include
o taglib
- Jsp Scripting Elements
o declaratives
o scriptlets
o expressions
- Jsp Actions
o Standard Actions
- useBean tag
- setProperty tag
- getProperty tag
- include tag
- forward tag
- param tag
- plug-in tag
- params tag
- fallback tag
- directives tag
- scriptlet tag
- expression tag
o Custom Actions
- Classic Tags
- Simple Tags
- JSTL & Tag Library
- Hibernate Introduction
- Hibernate Basics
- Hibernate Architecture
- Hibernate Session
- Hibernate SessionFactory
- Hibernate Configuration
- Hibernate Configuration Offline
- Hibernate with HBM
- Hibernate with Annotation
- Hibernate Validator
- Hibernate CRUD
- Hibernate Association Mapping
o One to One Mapping
o One to ManyMapping
o Many to OneMapping
o Many to ManyMapping
- Hibernate Aggregation
- Hibernate Named Queries
- Hibernate Native SQL
- HQL- Hibernate QueryLanguage
- Hibernate HCQL- Criteria Query Language
- Hibernate Application with Mysql DB- CRUD
- save(), saveOrUpdate(), update(), persist() and merge()
- get() and load()
- Hibernate vs. JPA
- Hibernate Application with Mysql DB, Servlet, JSP-User Interface-CRUD
- Hibernate, MySQL, Servlet, JSP, Apache Tomcat Login Application
- Hibernate, MySQL, Servlet, JSP, Apache Tomcat Sign Up | Sign In Application
- Hibernate, MySQL, Servlet, JSP, Apache Tomcat Advanced Custom Project
- Implementation
- Spring Framework
o Spring Framework Introduction
o Spring Basics
o Inversion of Control
o Dependency Injection
o Beans Scope
o Singleton
o Prototype
o Request
o Session
o Global-Session
o Auto wiring
o Spring Annotations
- Spring MVC
o Spring MVC Basics
o Spring MVC Annotations
o Spring MVC Hello World Application
o Spring MVC Restful Web Services Basics
o Spring MVC without Maven
o Apache Maven Basics
o Spring MVC with Maven
o Spring MVC Application Deployment
o Spring MVC Application Deployment with Loggers
o Spring MVC WAR File Creation and Deployment Steps
o Spring MVC, Hibernate, Mysql, Apache Maven, Apache Tomcat-
CRUDOperation
o Java, Spring MVC, Spring Security, Algorithm, Hibernate, Maven,
MysqlIntegrationApplication
- Customer Login
- Add Customer
- Edit Customer Information
- Delete Customer
- View Customer List
- Roles
- Admin Role
- DBA Role
- User Role
- Password Encryption by using Spring SecurityAlgorithm
- Remember Me Functionality
- Spring Security
o Spring SecurityBasics
o Spring Security Features
o Spring Security Authentication
o Spring SecurityEncryption
o Password Encryption by using SpringSecurity
o Spring Security Login Form
o Spring Security Authentication
o Spring Security Maven Dependency
o Spring Security CRUD- Signup and Login Application
o Spring Security OAuth2 RealTime Implementation
o Spring Boot End Points Security
o Spring Boot, Spring Security- Restful Web Services with Advanced
Authentication
o Single Sign-On with Spring Boot & Okta | OAuth 2.0
- Spring Boot
o Spring Boot Introduction
o Spring Boot Basics
o Why Spring Boot
o Spring Boot Features
o Main Goal of Spring Boot
o Creating Project- Spring Initializer
o Spring Boot Hello World Application
o Spring Boot Annotations
o Spring Boot Devtool Dependency- Without Restart application will see changes
on browser
o Spring Boot Actuator
o Spring Boot Build Systems
o Spring Boot Code Structure
o Spring Boot Runners
o Spring Boot Tomcat Custom Port Number
o Spring Boot with RESTFul Service
o Spring Boot with Logger
o Deploy Spring Boot Applications on External Tomcat Server
o Spring Boot – Common Application Properties (application.properties)
o Spring Boot, Hibernate with RESTFul Web Service
o Spring Boot, Spring Data with RESTFul Web Service
o Spring Boot, Hibernate CRUD Application
o Spring Boot, Spring Data JPA CRUD Application
o Spring Boot, Spring- JDBCTemplate CRUD
o Spring Boot, Hibernate, MySQL, Project Lombok CRUD Application
o Spring Boot with XML Payload using PostmanAPI
o Spring Boot with JSON Payload using PostmanAPI
o Spring Boot Global Custom Validations
o Spring Boot Global Custom Exception Handling
o Spring Boot Code Debug Practices
o Spring Boot Application connectivity with Multiple Databases
o Spring Boot CORS Support
o Java QR Code Generator Basics
o Spring Boot QR Code Generator Hands on Session
o Spring Boot QR Code Reader Hands on Session
o Spring Boot Advanced Research and Development with latest release
- Spring Data- JPA
o Spring Data JPA Basics
o Spring Data JPA Introduction
o Spring Data JPA Architecture
o Spring Data JPA application.propertiesfile
o JPA Repository
o CRUD Repository
o Spring Boot, Spring Data JPA CRUD using PostmanAPI
o Spring Boot, Spring Data JPA, Project Lombok CRUD using Postman API Hands
on Session
- JUnit- Mockito Framework
o What is Unit testing
o What is JUnit
o JUnit Rules
o JUnit Arithmetic Application Example
o Mockito Introduction
o Mockito Annotations
o Mockito Setup
o What is Mocking
o Need for mocking
o Methods of Mockito
o Mockito mock() method
o Mockito when() method
o Mockito verify() method
o Mockito doNothing() method
o Mockito times() method
o PowerMock
o JUnit Mockito Hibernate CRUD
o JUnit Mockito JPA CRUD
o JUnit Mockito JDBCTemplate CRUD
- Spring- JDBCTemplate
o Spring JDBCTemplate Introduction
o RowMapper
o Builder
o Spring Boot, JDBCTemplate using Postman API Hands on Session
o Industrial Practices for Spring Boot JDBCTemplate
o Spring Boot JDBCTemplate CRUD Application
o Spring Boot JDBCTemplate SignUp | SignIn Application
o Real Time Signup and Signin Application using JDBCTemplate
o Advanced Research and Development for JDBCTemplate using Spring Boot
- WEB SERVICES
o SOAP Web Service
o RESTful Web Service
- Design Pattern
- Singleton Design Pattern
- Builder Design Pattern
- Factory Pattern
- Abstract Factory Pattern
- Prototype Pattern
- Facade Pattern
- Adapter Pattern
- Filter Pattern
- Composite Pattern
- Decorator Pattern
- Proxy Pattern
- Iterator Pattern
- Bridge Pattern
- Flyweight Pattern
- MVC Pattern
- Microservices Introduction
- Microservices Architecture
- Microservices Project Structure
- Microservices Frameworks
- Spring Boot with Microservices Basics
- Spring Boot with Microservices Coding Standards
- Spring Boot with Microservices Builder Design Pattern
- Spring Boot with Microservices QR Code Generator
- properties vs application.yml file
- Spring Boot, Hibernate, Maven, MySQL CRUD Application- POSTMAN API
- Spring Boot, Spring Data- JPA, Maven, MySQL CRUD Application- POSTMAN API
- Spring Boot, Spring Data- JDBCTemplate, Maven, MySQL CRUD Application
- Spring Boot, ORM, Microservices with Project Lombok
- Spring Boot, CORS, Spring Data[JDBCTemplate], Microservices CRUD with
- ProjectLombok
- using React JS
- Creating Multiple Services using Spring Boot
- Logger with Microservices
- Rest Template and RestTemplateVO Implementation
- Set port number and application name for each service
- Service Registry- Eureka Server
- API Gateway for traverse centralize request
- Hystrix DashBoard
- Zipkin
- Sleuth
- Trace Application- System Health
- Trace Fallback controller
- Trace Services are up/down using controller service
- Trace Dependent Services
- Trace Controller | Methods and Services how many times used/hit
- Advanced Level Research and Development for Microservices
- Microservices HRM/Payroll Application
- Microservices Customer | Product | Payment Order Application
- What is AWS
- Introduction to AWS Services
- Amazon Cloud Services
- Create EC2 Instance in AWS
- Deploy Spring Boot Application on AWS | Elastic Beanstalk
- AWS Advanced Research and Development- Live Deployment
GitHub is a code hosting platform for version control and collaboration. It lets you
and others work together on projects from anywhere. This tutorial teaches you
GitHub essentials like repositories, branches, commits, and pull requests.
Docker is a suite of software development tools for creating, sharing and running individual
containers; Kubernetes is a system for operating containerized applications at scale.
DevOps is a set of practices that combines software development and IT operations. It aims to
shorten the systems development life cycle and provide continuous delivery with high software
quality.
Agile is an iterative approach to project management and software development that helps
teams deliver value to their customers faster and with fewer headaches. Instead of betting
everything on a "big bang" launch, an agile team delivers work in small, but consumable,
increments.
1. Mock interview
2. Interview Preparation
3. Resume Preparation
4. Placement Assistance
20+
Assignments
10+
Projects
1 to 3
Capstone Projects
No.1
Teaching Methodology
Course Benefits
Enable participants to develop a complete Java application from the scratch that includes Front-end, Backend and Data-exchange technologies.
Hands-on-oriented sessions blended with elegant explanations of core concepts, simple and relevant examples help candidates to learn faster and start developing projects and applications.
This course connects the academic and industry by bridging the gaps for the student communities.
Acts as an enabler to the working professionals to boost up their careers.
This course will help candidates fill the programming skill gaps; build the flow and competence that is expected by job markets and industries.
Build strong foundations (ex: OOPS) in entry level engineers thereby making them job ready as per industry requirements. Enable them to learn new technologies by applying foundation paradigms
By the end of the program participants will be become an industry-ready engineer who can be readily deployed in a project
Our flexible and dedicated support teams help candidates to never stop learning and practicing by getting their doubts clarified in shorter response timelines and making them quickly move on further.
Get Step-By-Step Guidance ToFull Stack Java Developer
- Introduction to the course
- Introduction to Data Science
- Introduction to Machine Learning
- Introduction to Analytics
- What does data science involves
- Life cycle of Data Science
- Design Thinking and Problem Statement
- Tools of Data Science
- Relationship between Artificial Intelligence, Machine Learning, and Data
- Science
- Areas of implementation of Machine learning
- Major classes of Learning Algorithms
- Supervised vs. Unsupervised learning
- Installation of necessary tools /libraries
- Using Jupyter Notebook
- Python environment Setup and Essentials
- Introduction to python
- Software installation
- Basic operators and functions
- Python Variables: int, float, string, bool, complex
- Data types with python
- Conditional statement
- Loops
- Python Collections: List, Tuple, Dictionary, Set, Frozenset
- Functions and Methods
- Class & Objects
- Error Handling
- Regular Expression
- Introduction to Numpy
- Datatypes
- Introduction to numpy arrays
- How to Access Array Elements?
- Indexing, Slicing, Iteration, Indexing with Boolean Arrays
- Dealing with Flat fles using numpy
- Mathematical functions
- Statistical functions (mean, median, average, standard deviation)
- Operations with arrays
- Scipy subpackage
- Linalg
- Special
- stats
- Types of statistics
- Types of Data
- The measure of Central Tendency
- Five number summery boxplot
- Measure of Dispersion
- Skewness and Kurtosis
- Covariance and Correlation
- Central Limit Theorem
- Introduction to Hypothesis Testing
- Data and Types
- Central Tendency: Mean, Median, Mode
- Deviation: Range, Variance, Standard Deviation
- BoxPlot and its importance
- Frequency distribution and its importance
- Scatter Plots and its importance
- Probability
- Discrete Probability Distribution: Binomial Distribution, Poisson
- Continuous Probability Distribution: Normal, t distribution, Exponential
- Correlation
- Introduction to Pandas
- Defining data structures
- Pandas datatypes
- Creating Data frames
- Data frame operations
- Indexing / reindexing –loc, iloc
- Grouping, Sorting, Slicing/Dicing operations
- Binning
- Aggregations
- Filtering
- Merging/Joining
- Date Functionality
- Importing /exporting data
- Importing data from csv excel json web database etc.
- Cleaning and preparing data
- Normalization and Standardization of data
- Encoding
- Handling missing data
- Quantitative Technique
- Graphical Technique
- Outlier Values in a Dataset
- Splitting the Dataset into the Training set and Test set
- Automated tools for EDA- pandas profiling ,sweetviz
- Data visualization with pandas
- Visualization using Matplotlib and Seaborn
- Bar Graph
- Histogram
- Scatter Plot
- Area Plot
- Pie Chart
- Special plots
- Violin Plot
- Boxplot
- Heatmap
- Facet Grid Pair grid
- Adding legend & text
- Color palette
Regression Analysis
- Regression Algorithms
- Linear Regression
- Logistic regression
- Regression Use Case
- Cost Function
- Evaluating Coefficients
- Evaluating Regression Models Performance
- Accuracy Matrix
- R-Squared
- Interpreting Linear Regression Coefficients
Regularization – introduction
- Lasso and Ridge Regression
- Elastic Net Regularization
K-NN classification
- Introduction and working
- Implementation using Scikit-Learn
Naïve Bayesian classifiers
- Intro to Bayesian theorem
- Implement NB through Scikit-Learn
SVM – (Support Vector Machines)
- Introduction to Support Vector Machines
- Python Kernel SVM
- The Kernel Trick
- Types of Kernel Functions
- SVM Algorithm for Classification
- SVM for Regression
Decision Tree
- Entropy and information gain
- Ginny impurity
- Visualizing Decision tree
- Regression tree and classification trees
Clustering
- Clustering
- K-means Clustering
- Finding Optimal Number of Clusters
Association Rule Mining
- Rule Mining Market Basket Analysis
- Rule Generation with Apriori Algorithm
Model Selection
- Cross Validation
Hyper parameter tuning
- Hyperparameter tuning techniques
Time series modeling
- ARMA
- ARIMA
- SARIMA
Dimensionality Reduction Techniques
- Component Analysis (PCA)
- LDA
Ensemble Techniques
- Intro to ensemble Techniques
- Bagging
- Boosting
- Stacking
- RandomForest
- AdaBoost
- GradientBoosting
- XGboost
Working with imbalanced data
- smote
Explainable ML
- Introduction and need for
- Getting insight with eli5 shap and lime
Deploy your model
- Deploy your model locally
- Basic of flask
- Deploy your model as flask web app
- Create dashboard with streamlit
- Case study-based approach
- 5 Projects in multiple domain
- Customer Segmentations on Sales Dataset.
- Financial Risk Modeling on German Credit Dataset
- House Pricing Prediction Modeling
- Loan Approval Prediction on Customer Dataset
- Predicting the price for used car
- Mock interview
- Interview Preparation
- Resume Preparation
- Placement Assistance