From this lecture you will learn:

• Where to find good tests to verify your knowledge

• How to get unlimited access to Learn IT application (only for my students from Udemy)

• What is Spring

• Spring Features

• Spring Projects/Modules

• Advantages & Disadvantages

• Spring Framework Architecture

• Inversion of Control

• Dependency Injection

• Spring IoC container

• ApplicationContext and child types

• Spring Context

• Spring Beans

• Scopes of Spring Beans

• Spring Expression Language

• How to initialize Spring Bean Factory

• How to initialize Spring Application Context

• Spring IoC containers

• BeanFactory VS ApplicationContext

• How to work with Spring Beans

• Bean ID VS Bean Name

• XML Bean Configuration

• Annotation-based bean configuration

• @Component, @Service, @Controller, @Repository

• Class-level bean annotations

• Method-level bean annotations

• @Bean & @Qualifier Annotations

• Scopes of Spring Beans

• XML VS Annotation Configuration: Advantages and Disadvantages

• Dependency Injection

• Constructor injection

• Setter injection

• Field injection

• @Autowired

• @Value

• Autowiring byName, byType and through the constructor

• NoUniqueBeanDefinitionException

• @Qualifier

• @Primary

• Lazy init

• How to Inject Collections and Map

• @Order

• @Lookup

• Spring MVC

• MVC Design pattern

• Front-controller Design Pattern

• Dispatcher Servlet

• Flow of Execution in Spring MVC

• Hello World App in Spring MVC

• @RequestMapping

• @EnableWebMvc

• ViewResolver

• WebApplicationInitializer interface

• AnnotationConfigWebApplicationContext class

• ContextLoaderListener class

• Advantages of Spring MVC

• Model

• Injection of HttpServletRequest

• Injection of HttpSession

• @RequestParam

• Map all parameters into a Map

• Map multi-value parameters

• @PathVariable

• @GetMapping

• @PostMapping

• @PutMapping

• @DeleteMapping

• @PatchMapping

• Spring Forms

• @ModelAttribute annotation

• Bean Validation API

• JSR 303

• How to set constraints for data values in object

• @Valid annotation

• How to validate data in object using javax.validation

• BindingResult

• Validate a Model

• Data Binding Error Handling

• Exception Handling in Spring MVC

• Exception handling approaches

• Controller Based Exception Handling

• Global Exception Handling with @ControllerAdvice

• HandlerExceptionResolver

• Defining own Exception in the Spring MVC

• @ResponseStatus

• How to handle 404

• Serve static resources in Spring MVC

• XML based configuration to serve static resources

• Java based configuration to serve static resources

• ResourceHttpRequestHandler & ResourceHandlerRegistry

• Serving static resources from the same WAR

• Serving static resources from the file system

• Serving static resources from multiple location

• New Resource Resolvers

• PathResourceResolver

• EncodedResourceResolver

• Chaining of resource resolvers

• Spring Security configuration for static resources

• What is web filter

• What is HandlerInterceptor in Spring MVC

• Goals of HandlerInterceptor

• Difference between HandlerInterceptor and Filter

• WebFilter Demo

• Interceptor Demo

• When to use Filters and Interceptors

• Overview of l10n & i18n

• Practical Demo

• MessageSource bean

• LocaleResolver bean

• AcceptHeaderLocaleResolver

• FixedLocaleResolver

• SessionLocaleResolver

• CookieLocaleResolver

• LocaleContextHolder

• Redirect in Spring MVC

• Why do redirect

• Redirect with Prefix (absolute and relative path)

• Redirect with ModelAndView

• RedirectView

• MapModel

• How to resolve attributes during the redirection

• Flash Attributes

• Forward prefix

• How to set cookies

• How to read cookies in Spring MVC

• How to work with properties in Spring

• @PropertySource

• @PropertySources

• @Value

In this lesson we are going to review the task. You are going to create online shop with Spring Core and Spring MVC based on the Template provided.

After that I will walk you through my solution and I give you my comments about implementation as we go over it.

• Introduction and overview

• Authentication

• Authorization

• Authentication VS Authorization

• Technologies that support Spring Security Integration

• Advantages

• Spring Security Features

• Spring Security Modules

• High level Spring Security Authentication & Authorization architecture

• First Spring Security Project

• Spring Security Dependencies

• Spring Security Configuration

• InMemoryUserDetailsManager bean

• PasswordEncoder bean

• SecurityFilterChain bean

• CSRF

• anonymous() VS permitAll()

• AuthenticationFailureHandler

• LogoutSuccessHandler

• Login with the custom login form in Spring Security

• Login with the default login form

• Remember Me feature in Spring Security

• RememberMeConfigurer Overview

• Coding exercise with Remember Me

• Security at method level

• Spring Expression Language

• @PreAuthorize

• @PostAuthorize

• @Secured

• @EnableMethodSecurity

• Spring Security Architecture

• Authentication Filter

• Spring Security Context

• Authentication Manager

• Authentication Provider

• User Details Service

• Password Encoder

• Business need in implementing custom Authentication Provider

• Code examples of custom Authentication Provider

In this lesson we are going to review EXAM task about integration of the Spring Security into our Online Shop application.

Also, we are going to review source code of the solution in the video.

• Spring Data: Overview

• Spring Data Modules

• Spring Data JPA: Overview

• JPA Repositories

• Repository pattern

• Spring Data JPA Advantages & Disadvantages

• Configuration of the Spring Data JPA

• Creation of JPA Repository

• JPQL Queries in JPA Repository

• Native SQL Queries in JPA Repository

• Naming convention for methods in JPA Repository

• End-to-end live demo

During the exam task you are going to take template of the multimodule project - online shop, and integrate Spring Data JPA into the persistence module of the application.

• JDBC Overview

• Why we need Spring JDBC

• Problems of JDBC API

• Spring Data JDBC VS Spring JDBC

• JbdcTemplate

• NamedParameterJdbcTemplate

• SimpleJdbcInsert

• SimpleJdbcCall

• Spring JDBC packages overview

• Practical code examples

• Configuration of dependency for Spring JDBC

• Configuration of required beans for Spring JDBC

• JdbcTeamplate example

• NamedParameterJdbcTemplate example

• SimpleJdbcInsert example

• SimpleJdbcCall example

• Batch update with SqlParameterSourceUtils

• RowMapper

During the exam task you are going to take a template of the multimodule project - online shop, and integrate Spring JDBC into the persistence module of the application.

• AOP

• Cross-cutting concern

• Aspect

• Why we need AOP

• Where to use AOP

• Examples of Aspect Oriented Programming

• AOP Implementations

• Key Terms and Key AOP Concepts

• Joinpoint

• Pointcut

• Advice

• Introduction

• Target Object

• Interceptor

• AOP Proxy

• Weaving

• Advantages and Disadvantages of AOP

• Review of required dependencies

• Configuration of aspect

• Configuration of pointcuts

• Pointcut designator

• Configuration of advices

• @EnableAspectJAutoProxy

• Coding examples and live demo

• Definition of REST

• REST API

• REST Principles/Constraints

• Client-server communication

• Stateless communication

• Caching

• Uniform interface

• Layered system

• Code on demand

• Resource

• Resource Methods

• REST VS HTTP

• Why it is important to follow guidelines?

• Use nouns to represent resources, not verbs

• Use pluralized nouns for resources

• Use hyphens and lowercase

• Use forward slashes for hierarchy but not trailing forward slash

• Avoid using file extensions

• API Versioning

• Use query parameters

• Punctuation for list

• Intuitive names, no jargon

• No abridging

• Avoid using special characters

• Keep API consistent

• Configure required dependencies

• Creation of the REST Web Service

• @RestController VS @Controller

• @ResponseBody

• @RequestBody

• @PathVariable

• @RequestParam

• @ResponseStatus

• @ResopnseEntity

• Read HTTP Headers in REST Controller

• @RequestHeader

• Tools for API testing: Overview

• SOAP

• Comparative analysis of Postman, Fiddler and Wireshark

• Postman

• Key components of Postman

• Postman Desktop VS Web Version

• Postman installation

• Postman Interface Review

• Import/Export collections

• Create new collections

• Sending requests with different HTTP methods

• Reading response in Postman

• Sending and reading custom headers

• Testing of RESTful service

• CRUD Operations with resource using REST API

• Difference between form-data and x-www-form-urlencoded

• Where start learning

• Spring Framework VS Spring Boot

• What is Spring Boot

• Features of Spring Boot

• Opinionated development approach

• When to use Spring Boot

• When not to use Spring Boot

• Advantages & Disadvantages

• Spring Initializr Web Tool

• Spring Boot project generation

• Spring Tools for Eclipse IDE

• Simple MVC controller in Spring Boot

• Practical exercise

• What are starters

• Why do we need starters

• Advantages of using starters

• List of spring boot starters

• Practical exercises

• How to add spring boot starter

• Web starter

• REST API Development in Spring Boot

• Test starter

• Data JPA Starter

• Configuration of H2 Database in Spring Boot

• Configuration of MySQL Database in Spring Boot

• Security starter

• Application properties: Overview

• Precedence order of properties

• Overriding properties

• Default Spring Boot properties

• List of Spring Boot properties

• Practical examples

• Changing the port number

• SSL/TLS configuration in Spring Boot

• Generation of self-signed certificate for TLS

• Changing of context path of the application

• Configuration of logging level

• @ConfigurationProperties annotation

• What is Spring Boot Actuator

• JMX Beans

• Features and benefits of Spring Boot Actuator

• Predefined endpoints

• Adding dependency for Spring Boot Starter Actuator

• How to expose all available endpoints

• How to exclude specific endpoints

• Change base path

• Fetch application metrics

• Best practices of working with Actuator

• Account creation at OpenAI

• API Reference & Documentation

• Playground Overview

• Manage account settings

• Usage Limits

• Pricing

• Understanding the importance of a "context"

• Configuration of Billing

• Soft & Hard billing limits

• Rate limits

• RPM & TPM

• How to invite members into your organization

• Creation of secret API key

• What is model fine-tuning

• Service-status

• Chat VS Completions API

• When to use Chat API

• When to use Completions API

• Overview of Chat API

• Model Endpoint Compatibility

• Roles: System, User, Assistant, Function

• What “temperature” to use

• Detailed review of Chat API attributes

• model attribute

• messages attribute (incl. role, name, content, function_call)

• Temperature attribute

• top_p attribute

• n attribute

• stream attribute

• max_tokens attribute

• presnece_penalty attribute

• frequency_penalty attribute

• logit_bias attribute

• user attribute

• Authentication & Authorization in OpenAI API

• Selecting model for request

• Send request to OpenAI API GPT model from Postman

• Deprecations

• Parsing GPT response

• “id” attribute

• “object” attribute

• “created” attribute

• “model” attribute

• “usage” attribute

• “choices” attribute

• “message” attribute

• “finish_reason” attribute

• Select programming language

• Overview of official libraries for OpenAI API

• Community libraries for OpenAI API

• Create the first Web Application for ChatGPT Integration

• Review of the Application’s Architecture

• What is function calling

• Business need/Review of use cases

• Function calling algorithm

• OpenAI Chat API review

• function_call: “auto”

• function_call: “prompt”

• function_call: “name”

• function_call: “none”

• Request for a function call in GPT Response

• Code examples review

• Live demo

• Strategy: Write clear instructions

• Tactic: Include details in your query to get more relevant answers

• Tactic: Ask the model to adopt a persona

• Tactic: Use delimiters to clearly indicate distinct parts of the input

• Tactic: Specify the steps required to complete a task

• Tactic: Provide examples

• Tactic: Specify the desired length of the output

• Strategy: Provide reference text

• Tactic: Instruct the model to answer using a reference text

• Tactic: Instruct the model to answer with citations from a reference text

• Strategy: Split complex tasks into simpler subtasks

• Tactic: Use intent classification to identify the most relevant instructions for a user query

• Tactic: For dialogue applications that require very long conversations, summarize or filter previous dialogue

• Tactic: Summarize long documents piecewise and construct a full summary recursively

• Strategy: Give GPT time to "think"

• Tactic: Instruct the model to work out its own solution before rushing to a conclusion

• Tactic: Use inner monologue or a sequence of queries to hide the model's reasoning process

• Tactic: Ask the model if it missed anything on previous passes

• Strategy: Use external tools

• Tactic: Use embeddings-based search to implement efficient knowledge retrieval

• Tactic: Use code execution to perform more accurate calculations or call external APIs

• Tactic: Give the model access to specific functions

• Strategy: Test changes systematically

• Tactic: Evaluate model outputs with reference to gold-standard answers

• TCP/IP/Port

• Static and Dynamic IP

• Port forwarding

• How to configure port forwarding on your router

• Troubleshooting hints

• What is slack

• Slack Installation

• Create an account in Slack

• Create a workspace in Slack

• Create a channel in Slack

• Create an Application in Slack

• Creation of app from scratch

• Creation of app from an app manifest

• Incoming and Outgoing Webhooks

• Events API in Slack

• Configure outgoing and incoming webhooks in Slack

• Architecture overview

• Review of code examples

• How to add the app to a channel

• Slack event payload review

• Slack Java SDK

• Overview of SDK for other programming languages

• Scopes in Slack

• Configuration of required scopes for the app

• Set up app picture

• How to manage the context during the integration with GPT

• Code examples review

• How to limit the context length

• How to manage the context of the Slack Team

• Remove all messages from a channel

• What is Jira

• Jira Editions & Deployment Options

• Advantages of Jira Cloud

• Jira analogs & competitors

• Create an account in Atlassian

• Create Jira Project

• Kanban Template VS Scrum Template

• Jira Kanban Board overview

• Jira project settings overview

• How to add issue types to the project

• How to add fields to issue type

• Create fake data in the project

• Jira API Review

• Jira API Versions

• Authentication & Authorization in Jira API

• What is Forge App in Atlassian

• What is Connect App in Atlassian

• JWT

• 3LO

• Create API Token for Atlassian Account

• Encrypt credentials in Base 64 encoding

• Jira API calls via Postman

• Jira API calls from web app

• Jira API documentation overview

• How to integrate Jira API with GPT, Slack and Web Application

• Connect Jira as a separate datasource

• Read the required context from the Jira

• Function calling implementation to fetch required Jira items

• Demo of real-life application

• Web Application architecture overview

• Best practices

• Generate work item description with the help of ChatGPT

• Create work item in Jira using chat interface

• Assign team member for Jira ticket directly from slack

• Set the due date for Jira work item from Slack

• Generate an email

• Send an email using email address using chat interface

• Send an email using the name of the person using chat interface

In the video I’m going to hold a demo of few more use cases of how you can use our bot developed during the course together with ChatGPT to manage Scrum Team, calculate average velocity and plan a new Sprint. Also in the video I’m going to show you Jira board configured for execution of Risk management and how I use my bot to manage risks on my projects.

In the lesson I used the approach with function callback that we learned in previous lessons.

You can find source code in attachments to the video.

In case you will have any questions, please, post your questions below the video and I will be happy to answer.

During the video we will review:

• How to calculate average velocity with ChatGPT

• How to plan Sprint based on priorities and team’s capacity

• How to check status of risks

• How to work with not processed risks

• How to execute risk management operations using chat interface