Mastering Generative AI for Software Development from edX

Do you want to enhance your software development career by leveraging the power of generative AI? This course explores the transformative applications of generative AI across the entire software development lifecycle.

The course teaches how generative AI-based tools enable code generation, scripting, and program creation, boosting developer productivity and automating repetitive tasks. You will learn how to train and fine-tune these models for specific software development needs, from generating custom code snippets to creating intelligent applications.

You will gain hands-on experience building static websites and prototypes using AI, accelerating the design process and fostering innovation. The course covers techniques for AI-assisted design and architecture, allowing you to explore new creative possibilities and optimize software structure.

You will also discover how generative AI can be used for bug detection, code refactoring, and program optimization, leading to improved code quality and maintainability. The course provides insights into the ethical considerations, challenges, and limitations of using generative AI in software development, emphasizing responsible AI practices.

Build a standout portfolio with hands-on labs and real-world projects, applying generative AI to real software development scenarios. From AI-powered features to streamlined workflows, you'll gain the practical experience employers demand. Plus, you'll learn to evaluate the impact of generative AI, preparing you for the future of software engineering. Enroll now and future-proof your career!

What's inside

Learning objectives

Job-ready ai-powered software development skills in less than 1 month, plus you’ll get practical experience
How to generate code snippets, scripts, and programs using generative ai models, automating development tasks

Hands-on experience training and fine-tuning generative ai models for software development needs, creating custom solutions
How to create static websites and prototypes using ai, accelerating design and development processes

Job-ready ai-powered software development skills in less than 1 month, plus you’ll get practical experience
How to generate code snippets, scripts, and programs using generative ai models, automating development tasks
Hands-on experience training and fine-tuning generative ai models for software development needs, creating custom solutions
How to create static websites and prototypes using ai, accelerating design and development processes

Syllabus

Module 0: Welcome

Video: Course Introduction

Reading: General Information

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores the use of generative AI across the entire software development lifecycle, which is highly relevant for developers looking to enhance their skills

Teaches how to train and fine-tune generative AI models for specific software development needs, creating custom solutions that can be applied to real-world projects

Includes hands-on labs and real-world projects, allowing learners to build a portfolio that demonstrates practical experience with generative AI in software development

Covers ethical considerations, challenges, and limitations of using generative AI in software development, emphasizing responsible AI practices that are essential for professional developers

Uses ChatGPT, which may require learners to create an account and generate an API key, potentially adding a step to the learning process

Includes a module on CI/CD using AI, which assumes learners have a foundational understanding of CI/CD principles and practices in software development

Reviews summary

Gen ai for software dev fundamentals

According to learners, this course provides a strong introduction to using generative AI in the software development lifecycle. Many highlight the practical, hands-on labs and projects using tools like ChatGPT and GitHub Copilot as particularly useful for applying concepts immediately. Students found the course relevant for current industry trends and helpful for boosting productivity through AI-assisted tasks like code generation, testing, and documentation. Some mention it's a great starting point, though a few feel it could delve deeper into advanced topics or underlying AI principles for those with more experience.

Concepts are explained clearly and effectively.

"The explanations were clear and easy to follow, even for someone new to some of the AI concepts."

"Videos and readings were well-structured and helped clarify how generative AI fits into the development process."

"I appreciated the way complex ideas were broken down into understandable parts."

"The instructors did a good job of making the material accessible."

Provides a solid foundational understanding.

"This course served as an excellent introduction to generative AI for someone like me with limited prior knowledge of AI."

"It lays a strong foundation for understanding the different ways generative AI can be leveraged across the SDLC."

"A great starting point for developers curious about AI. It clarifies key concepts and shows practical applications."

"I felt it was a comprehensive yet accessible introduction to the topic."

Course topics are highly relevant to industry.

"The content is very current and relevant to the growing field of AI in software engineering. It covers the tools developers are actually using now."

"Excellent course! It's highly relevant to the software development industry right now and gives a clear overview of how AI can help."

"As a software developer, I found this course incredibly relevant to understanding how AI can fit into my work and improve efficiency."

"Highly recommend this course for anyone looking to stay updated with the latest trends in software development using AI."

Hands-on labs and projects are very valuable.

"The hands-on coding and projects are the strongest part of the course for me, showing how to use tools like ChatGPT and Copilot in practice."

"I really enjoyed the labs where I got to generate code, test cases, and even documentation. It feels directly applicable to my job."

"This course taught me practical ways to use AI for common development tasks. Building the static website demo was insightful."

"Learned practical tips and tricks for integrating AI tools into my daily workflow."

May not be deep enough for advanced learners.

"While it's a good overview, I felt it didn't go deep enough into the technical aspects of the AI models themselves for my liking."

"Could use more in-depth coverage on complex topics or optimization techniques beyond just using the tools."

"For experienced AI practitioners, this course might be too introductory and focused on tool usage rather than underlying principles."

"I was hoping for more technical details on how the models work, rather than just how to prompt them effectively."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Mastering Generative AI for Software Development with these activities:

Review Foundational Programming Concepts

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Strengthen your understanding of core programming concepts to better grasp how generative AI tools leverage these principles for code generation and optimization.

Browse courses on Object-Oriented Programming

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Review data structures and algorithms.
Practice coding exercises on platforms like LeetCode.
Study design patterns.

Prompt Engineering Exercises

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Improve your ability to effectively communicate with generative AI models by practicing prompt engineering techniques.

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Experiment with different prompts for code generation tasks.
Analyze the output and refine your prompts.
Document your findings and best practices.

Read 'Building Machine Learning Powered Applications'

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Gain a deeper understanding of how machine learning models are integrated into applications, providing context for using generative AI in software development.

View Building Machine Learning Powered Applications:... on Amazon

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Read the book, focusing on chapters related to model deployment and integration.
Experiment with the code examples provided in the book.

Four other activities

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Read 'Generative Deep Learning'

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Gain a deeper understanding of the underlying technology behind generative AI models, enhancing your ability to use them effectively in software development.

View Generative Deep Learning: Teaching Machines To... on Amazon

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Read the book, focusing on chapters related to transformers and GANs.
Implement some of the models described in the book.

Write a Blog Post on Ethical Considerations

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Deepen your understanding of the ethical implications of using generative AI in software development by researching and writing a blog post on the topic.

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Research ethical considerations related to generative AI in software development.
Outline the key points for your blog post.
Write the blog post, providing examples and insights.
Edit and proofread your blog post.

Build an AI-Powered Code Assistant

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Apply your knowledge by creating a tool that uses generative AI to assist with code completion, bug detection, or code refactoring.

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Choose a specific task for the code assistant.
Select a generative AI model and API to use.
Develop the user interface and backend logic.
Test and refine the code assistant.

Contribute to an Open-Source AI Project

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Gain practical experience and contribute to the community by participating in an open-source project related to generative AI.

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Find an open-source project that aligns with your interests.
Review the project's documentation and contribution guidelines.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete Mastering Generative AI for Software Development will develop knowledge and skills that may be useful to these careers:

Software Engineer

Software engineers design, develop, and test software applications. This course directly aligns with the evolving role of a software engineer, as it explores how generative AI tools can automate code generation, streamline workflows, and improve code quality. With hands-on experience building static websites and prototypes using AI, you will accelerate the design process. The course provides practical skills in using AI for bug detection, code refactoring, and program optimization. A software engineer who wishes to leverage AI for software development will find this course particularly relevant, as it emphasizes responsible AI practices and provides insights into the challenges and limitations of generative AI. This course shows how to automate repetitive tasks, so that a software engineer can work more efficiently.

See salaries and explore the career path for Software Engineer

AI Developer

An AI developer focuses on creating and implementing artificial intelligence solutions. This course provides a solid foundation for an AI developer, teaching the skills to train and fine-tune generative AI models for specific software development needs and how to generate custom code snippets. The course emphasizes hands-on experience with real-world projects, applying AI to software development scenarios. Given the course's coverage of ethical considerations and the limitations of AI, an AI developer will be well-prepared to navigate the challenges of integrating AI into software engineering. You will learn to evaluate the impact of generative AI, preparing you for the future of software engineering. An AI developer should take this course to develop proficiency in AI and software development.

See salaries and explore the career path for AI Developer

Full-Stack Developer

Full stack developers work with both front-end and back-end technologies to build complete web applications. This course can be highly beneficial, teaching how to use generative AI to accelerate the design and development process, specifically through building static websites and prototypes. The course's focus on automating development tasks using AI-generated code snippets and scripts is valuable for streamlining workflows. Since this course explores how generative AI can be used for bug detection and code refactoring, it may improve code quality and maintainability. A full stack developer will benefit from learning how to integrate AI tools into website design. A full stack developer should take this course to become more versatile and efficient.

See salaries and explore the career path for Full-Stack Developer

Software Architect

Software architects are responsible for designing the structure of software systems. The course’s modules on AI-assisted design and architecture provide knowledge to explore new creative possibilities and optimize software structure. This role is especially valuable for those looking to innovate in their field. With the knowledge gained in this course, a software architect will be able to integrate generative AI into architecture workflows. The course provides helpful information for AI in software architecture. Software architects who wish to learn more about AI-assisted design will find this course useful. As generative AI becomes increasingly integrated into architecture, this course would be especially beneficial.

See salaries and explore the career path for Software Architect

DevOps Engineer

DevOps engineers streamline the software development lifecycle, from coding to deployment. This course helps DevOps engineers, delivering knowledge of how to use generative AI in continuous integration and continuous delivery (CI/CD) pipelines. You will learn how to automate development tasks and improve security in software development. The course emphasizes the integration of generative AI into software development workflows, which is essential for modern DevOps practices. A DevOps engineer will find this course helpful for enhancing efficiency and innovation in their development processes. A DevOps engineer wanting to improve their software deployment will find that they should take this course.

See salaries and explore the career path for DevOps Engineer

Software Development Manager

A software development manager oversees software development projects and teams. This course is valuable for those who want to learn how to leverage generative AI to boost developer productivity and automate repetitive tasks. Software development managers will learn how to apply generative AI to streamline workflows, improve code quality, and accelerate the design process. The course also covers insights into the ethical considerations and challenges of using generative AI in software development. A software development manager who wants to stay at the forefront of software technology should take this course.

See salaries and explore the career path for Software Development Manager

Data Scientist

Data scientists analyze data to extract meaningful insights and develop data-driven solutions. This course may be useful for data scientists, because it provides hands-on experience training and fine-tuning generative AI models. The course covers techniques for AI-assisted design and architecture, allowing for exploration of new creative possibilities. Knowing how to use generative AI models for automating and optimizing software development processes will be valuable for a data scientist. Data scientists exploring the intersection of AI and software development should take this course.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine learning engineers design, build, and deploy machine learning models. This course may be helpful for machine learning engineers, teaching how to create custom solutions, generate code snippets, scripts, and programs using generative AI models. The course provides insights into the ethical considerations and challenges of using generative AI in software development. With hands-on labs and real-world projects applying generative AI to real software development scenarios, you will gain practical experience, which is valuable for a machine learning engineer. A machine learning engineer who wants to apply their skills to building software will benefit from this course.

See salaries and explore the career path for Machine Learning Engineer

AI Product Manager

AI product managers guide the strategy, roadmap, and feature definition for AI-powered products. This course may be useful, as it explores the transformative applications of generative AI across the entire software development lifecycle. The course provides insights into the ethical considerations, challenges, and limitations of using generative AI in software development, emphasizing responsible AI practices. Understanding the practical applications and limitations of generative AI is valuable for making informed product decisions. Since this course covers AI considerations, it would be helpful for an AI product manager.

See salaries and explore the career path for AI Product Manager

Technical Lead

Technical Leads oversee technical aspects of software development projects. This course may be helpful to technical leads, because it covers how to use generative AI to boost developer productivity and automate repetitive tasks. The course also covers techniques for AI-assisted design and architecture, which will improve software structure. The course provides insights into the ethical considerations, challenges, and limitations of using generative AI in software development. Since this course covers AI insights, it would be helpful for a technical lead.

See salaries and explore the career path for Technical Lead

Security Engineer

Security engineers protect computer systems and networks from threats. This course may be useful, because it teaches how generative AI can be used for bug detection, code refactoring, and program optimization, leading to improved code quality and maintainability. The course also provides insights into the ethical considerations, challenges, and limitations of using generative AI in software development, emphasizing responsible AI practices. Building a stronger software foundation will lead to more secure systems. A security engineer who wants to improve their code quality should take this course.

See salaries and explore the career path for Security Engineer

Data Engineer

Data engineers design, build, and manage the infrastructure for data storage and processing. This course may be useful, teaching how to use generative AI to automate code generation, scripting, and program creation. You will learn how to train and fine-tune these models for specific software development needs. The course also covers techniques for AI-assisted design and architecture, allowing exploration of new creative possibilities. A data engineer will find it useful to explore the transformative applications of generative AI across the entire software development lifecycle. A data engineer who is interested in AI-assisted data infrastructure will benefit from this course.

See salaries and explore the career path for Data Engineer

IT Consultant

An IT consultant advises organizations on how to use information technology to meet their business objectives. This course may be useful, teaching how to automate code generation, streamline workflows, and improve code quality. The course also provides insights into the ethical considerations, challenges, and limitations of using generative AI in software development. An IT consultant will better understand the challenges of using AI for software development. Since this course provides insights into AI, it would be helpful for an IT consultant.

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Solutions Architect

Solutions architects design and implement IT solutions to address specific business problems. This course may be valuable, teaching how to apply generative AI to streamline workflows, improve code quality, and accelerate the design process. Ethical considerations and challenges of using generative AI in software development are discussed. Solutions architects who learn more about AI can implement more effective solutions. A solutions architect who wants to learn about the limitations of AI will find this course useful.

See salaries and explore the career path for Solutions Architect

Technical Writer

Technical writers create documentation for software and hardware. This course may be useful for technical writers, teaching how generative AI can be used for bug detection, code refactoring, and program optimization, leading to improved code quality and maintainability. The course also covers insights into the ethical considerations, challenges, and limitations of using generative AI in software development. Technical writers may write about the technical aspects of AI. Since this course provides insight on AI, it would be helpful for a technical writer.

See salaries and explore the career path for Technical Writer

Mastering Generative AI for Software Development

What's inside

Learning objectives

Syllabus

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Reviews summary

Gen ai for software dev fundamentals

Activities

Career center

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