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
Show info about module content
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
AI and digital transformation
Module 2•5 hours to complete
Module details
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
Show info about module content
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
Final project and course wrap up
Module 3•4 hours to complete
Module details
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
Show info about module content
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.
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.
What background knowledge is necessary?
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.
What does a junior developer do?
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.
What jobs can I get with junior software developer skills?
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.
Will I be able to complete this course online?
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.
Do I need to take the courses in specific order?
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.
How long does it take to complete the professional certificate?
It typically takes 3 months to complete the 7 courses. But some learners may go through the content faster.
What will I be able to do upon completing the Professional Certificate?
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.
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Certificate?
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.