Generative AI in Software Development

This course is part of Amazon Junior Software Developer Professional Certificate

Instructor: Amazon

Access provided by SDNB College

7,890 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

19 reviews

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

19 reviews

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

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.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 assignments

Taught in English

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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.

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.