VOOZH about

URL: https://www.coursera.org/learn/generative-ai-in-software-development

⇱ Generative AI in Software Development | Coursera

Generative AI in Software Development

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Generative AI in Software Development

10,066 already enrolled

Included with

Gain insight into a topic and learn the fundamentals.
4.6

24 reviews

Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week
Gain insight into a topic and learn the fundamentals.
4.6

24 reviews

Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week

What you'll learn

  • Discuss the principles, applications, and role of Generative AI in automating repetitive tasks in software development.

  • Implement Generative AI tools in software development.

  • Evaluate the benefits and limitations of using Generative AI in software development.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 assignments

Taught in English
Flexible schedule
Learn at your own pace

Build your Software Development expertise

This course is part of the Amazon Junior Software Developer Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Amazon

There are 3 modules in this course

In this course, you'll explore Generative AI's role in software development. You'll start with an overview to understand its capabilities. Next, you'll dive into specific tools like Amazon CodeWhisperer, where you'll learn to automate tasks such as code completion and bug detection. By the end, you'll evaluate Generative AI's benefits and limitations. This will empower you to make informed decisions about its use in software development.

After completing this course, you’ll be able to: • Discuss the principles and applications of Generative AI. • Implement Generative AI tools in software development. • Examine the role of Generative AI in automating repetitive tasks in software development. • Evaluate the benefits and limitations of using Generative AI in software development.

This module will introduce you to the world of Generative AI and how it can aid in software development, specifically in Java. You'll explore the features and benefits of Amazon CodeWhisperer, ChatGPT, and GitHub Copilot, and learn how these tools can enhance your coding efficiency and productivity.

What's included

14 videos10 readings5 assignments7 ungraded labs

14 videos•Total 78 minutes
  • Course introduction•3 minutes
  • Introduction to generative artificial intelligence•7 minutes
  • How generative AI works•4 minutes
  • Generative AI in software development•7 minutes
  • Generative AI in Java development•6 minutes
  • Introduction to Amazon Q Developer •7 minutes
  • Introduction to ChatGPT•3 minutes
  • Introduction to GitHub Copilot•5 minutes
  • Automating code reviews•5 minutes
  • Bug detection and fixing•7 minutes
  • Automating Java documentation•6 minutes
  • Software design with AI•8 minutes
  • AI for code explanation•6 minutes
  • Module summary: AI and building software•4 minutes
10 readings•Total 95 minutes
  • Project preview•10 minutes
  • Course syllabus•10 minutes
  • How to be successful in this course•10 minutes
  • Ethical considerations and impact•10 minutes
  • Introduction to prompt engineering•10 minutes
  • Amazon accounts•10 minutes
  • Hands-On with ChatGPT•10 minutes
  • Comparing generative AI tools•10 minutes
  • Automated Java code refactoring•10 minutes
  • Additional resources: Introduction to AI•5 minutes
5 assignments•Total 90 minutes
  • Module quiz: AI and building software•30 minutes
  • Knowledge check: Introduction to AI•15 minutes
  • Knowledge check: Generative AI programming tools•15 minutes
  • Knowledge check: AI for automation•15 minutes
  • Knowledge check: AI software design•15 minutes
7 ungraded labs•Total 290 minutes
  • Hands-on with Amazon Q Developer•45 minutes
  • Hands-on with GitHub Copilot•40 minutes
  • Bug detection and fixing•60 minutes
  • Refactoring code•40 minutes
  • Generating documentation•45 minutes
  • Building apps with AI•30 minutes
  • Exploring code•30 minutes

In this module, you will explore how AI integrates into digital transformation, with a focus on decision-making models and their practical application in business contexts. You will delve into various AI decision-making models and their pivotal role in driving organizational change through digital transformation initiatives. The module aims to help you understand how AI can effectively tackle business challenges and optimize operational processes to enhance efficiency and foster innovation within modern enterprises.

What's included

13 videos7 readings4 assignments1 ungraded lab

13 videos•Total 79 minutes
  • AI and machine learning basics•6 minutes
  • Random forests•7 minutes
  • Neural networks•6 minutes
  • Overview of digital transformation•5 minutes
  • The four domains of digital transformation•6 minutes
  • Technology in digital transformation•5 minutes
  • AI in customer relationship management (CRM)•6 minutes
  • Ethical and regulatory compliance•5 minutes
  • Scalability•8 minutes
  • Interpretability and transparency•7 minutes
  • Integration with existing systems•5 minutes
  • Ethical and regulatory compliance•7 minutes
  • Module summary: Object introduction to AI decision-making models•6 minutes
7 readings•Total 65 minutes
  • Decision trees•10 minutes
  • Neural network in action•10 minutes
  • Data's role in digital transformation•10 minutes
  • Integration with existing systems•10 minutes
  • Improving model transparency•10 minutes
  • Compliance in action•10 minutes
  • Additional resources: AI and digital transformation•5 minutes
4 assignments•Total 75 minutes
  • Module quiz: AI and digital transformation•30 minutes
  • Knowledge check: Introduction to AI decision-making models•15 minutes
  • Knowledge check: Digital transformation•15 minutes
  • Knowledge check: Business challenges•15 minutes
1 ungraded lab•Total 60 minutes
  • Creating a recommendation program•60 minutes

In this module, you will create a rule-based chatbot tailored to your chosen platform using code that has been provided. Your tasks will include coding the bot's basic design with user inputs, designing a console-based user interface for easy interaction, using IDE tools or external AI to shape the provided code into an assistant, persona, or buddy, and implementing data sources and structures to ensure effective bot responses. Additionally, you will complete a final course quiz to assess your understanding and application of the concepts learned.

What's included

2 videos3 readings1 assignment1 ungraded lab

2 videos•Total 11 minutes
  • Course recap: Generative AI in software development•8 minutes
  • Congratulations•3 minutes
3 readings•Total 30 minutes
  • About the project•10 minutes
  • Exemplar: Generative AI in software development•10 minutes
  • Next steps•10 minutes
1 assignment•Total 90 minutes
  • Course quiz: Generative AI in software development•90 minutes
1 ungraded lab•Total 90 minutes
  • Creating a rule-based chatbot•90 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Amazon
7 Courses•114,547 learners

Explore more from Software Development

Why people choose Coursera for their career

👁 Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
👁 Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
👁 Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
👁 Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

  • 5 stars

    75%

  • 4 stars

    16.66%

  • 3 stars

    0%

  • 2 stars

    8.33%

  • 1 star

    0%

Showing 3 of 24

AD
·

Reviewed on Mar 1, 2025

Nicely explained with Hands on Coding examples, helped with AI to automate tasks with good precision!

Frequently asked questions

This Professional Certificate is designed for aspiring junior software developers who are looking to kickstart their careers in the tech industry. It is also for current professionals that are seeking greater understanding of software development fundamentals.

This program is for you:

- If you are interested in the field of software development or just beginning to work in junior software development roles.

- If you want to switch or start a career in the field of software development

- If you already work in software development and are seeking a greater understanding of software development fundamentals, earning an Amazon software development certificate can help advance your career or help you address gaps in your knowledge, skills, and abilities.

While prior coding experience is beneficial, it's not mandatory. A basic understanding of programming concepts and a willingness to learn are recommended.

The primary advantage lies in acquiring practical skills and knowledge essential for launching a career as a junior software developer. This Professional Certificate not only equips you with the expertise needed for entry-level roles but also provides a recognized certification, bolstering your credibility within the industry. This credential offers hands-on learning experiences under the guidance of seasoned professionals.

A junior software developer usually supports software application design, development, and maintenance while receiving guidance from senior developers, making them suitable candidates for internships or apprenticeships.

With the skills acquired from this Professional Certificate, you can qualify for entry-level positions such as junior software developer, software engineer, or programmer in diverse industries, making you an ideal candidate for internships or apprenticeships.

To be considered for an Amazon internship post completion of this course, you should be a current undergraduate student, preferably in a math or technology-related major.

Yes, this course is entirely online, allowing you to study at your own pace from anywhere with an internet connection. You can access your lessons, readings, and assignments anytime and anywhere via the web or your mobile device.

Yes. We highly recommend taking the courses of each certificate program in the order they are presented. The content in the courses builds on information from earlier courses. The final course contains a capstone project that assesses your knowledge of the content covered in the previous courses. As such, it makes the most sense to take the courses in the order they are presented.

It typically takes 3 months to complete the 7 courses. But some learners may go through the content faster.

Once you've completed the Amazon Junior Software Developer Professional Certificate, you will possess the essential skills and knowledge to thrive in this dynamic field. These skills enhance your practical experience and career prospects in software development, ensuring you are well-prepared to tackle challenges in both entry-level roles and internships. This certificate is valuable to share within your professional network. 

Throughout the program, you engaged with hands-on labs, projects, and assessments, mastering fundamental concepts such as:

- Proficiency in Java programming, encompassing data manipulation, control structures, and object-oriented principles.

- Expertise in implementing and managing version control systems like Git for collaborative software development.

- Skills in designing and deploying full-stack web applications, integrating server-side logic and front-end technologies.

- Understanding and application of software development methodologies and the software development lifecycle (SDLC) to craft robust software solutions.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Financial aid available,