Spring Boot Tutorial | Microservices Spring Boot | Microservices Architecture Training | Edureka

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***** Microservices Architecture Training: https://www.edureka.co/microservices-... ***** This Edureka's tutorial on "Spring Boot Tutorial" will help you understand how to create Spring Boot project and implement various annotations of Spring Boot in your projects

Tecnologia

Microservices Architecture Training www.edureka.co/microservices-architecture-training
Topics For Today’s Session
Spring Boot Tutorial

Microservices Architecture Training www.edureka.co/microservices-architecture-training
Spring Boot
2
Takes an
opinionated view
of the Spring
platform.
Used to create
stand-alone Java
applications.3
1
Makes it easy to
create Spring-
powered, production-
grade applications.
Spring Boot Tutorial

Microservices Architecture Training www.edureka.co/microservices-architecture-training
What Spring Boot Is NOT!
Does not implement
any specific
framework
02Not an app or
a web server
01
Does not generate
code
03
Spring Boot Tutorial

Microservices Architecture Training www.edureka.co/microservices-architecture-training
Why Do We Need Spring Boot?
03
Provides a range
of
non-functional
features.
04
Does not
generate code.
Also, XML
configuration is
not required.
02
Finds quick ways
to diverge from
defaults
01
Provides faster and
widely accessible
‘getting started’
experience.
Spring Boot Tutorial

Microservices Architecture Training www.edureka.co/microservices-architecture-training
Spring v/s Spring Boot
03
Takes time to have Spring application
up and running
02
Manages life cycle of Java
01
Dependency Injection Framework
03
Shortest way to run Spring application
02
Need not worry about configuring a
data source
01
Pre-configured set of
frameworks/technologies
Spring Boot Tutorial
Spring Spring Boot

Copyright © 2018, edureka and/or its affiliates. All rights reserved.
How Spring Boot Works?

Microservices Architecture Training www.edureka.co/microservices-architecture-training
Steps To Create Your First Spring Boot Application
Add Spring Boot
Starter Parent
Add Spring Boot Starter Web
Configure Java Version 8
Add Spring Boot Plugin
Create Spring Boot
Application Launcher
01
02
03
04
05
Spring Boot Tutorial

Microservices Architecture Training www.edureka.co/microservices-architecture-training
Other Starter Projects
Spring-boot starter
webservices01 Spring-boot-starter-
test –02 Spring-boot-starter-
jdbc03
Spring-boot-starter-
security04 Spring-boot-starter-
data-jpa05 Spring-boot-starter-
data-rest06

Spring Boot Tutorial | Microservices Spring Boot | Microservices Architecture Training | Edureka

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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