We may earn an affiliate commission when you visit our partners.
Course image
Rav Ahuja and Ramanujam Srinivasan

Generative AI is transforming the field of Software Engineering, making it a crucial skills for Developers to have in their toolkit. This IBM course "Generative AI for Software Developers" is designed to provide you with a comprehensive understanding of how generative AI techniques can be applied to enhance software development processes.

This course is designed to offer the necessary skills and knowledge needed to leverage AI-powered tools and algorithms to improve the efficiency of software development processes.

Read more

Generative AI is transforming the field of Software Engineering, making it a crucial skills for Developers to have in their toolkit. This IBM course "Generative AI for Software Developers" is designed to provide you with a comprehensive understanding of how generative AI techniques can be applied to enhance software development processes.

This course is designed to offer the necessary skills and knowledge needed to leverage AI-powered tools and algorithms to improve the efficiency of software development processes.

Through a combination of videos, hands-on exercises, demos, and projects, you will learn how to leverage generative AI models to automate various aspects of software development, including code generation, design and architectures, bug detection, and optimization.  

This course will also help you understand the ethical considerations that you should follow to use AI to its full potential.

Enroll today to get the most out of AI for developing software and boost your career!

Enroll now

What's inside

Syllabus

Generative AI and Software Development
In this module, you will learn how AI impacts software development. Lesson 1 helps you understand how to leverage AI for the software development lifecycle using various tools and algorithms and set up a development environment for AI and ChatGPT. You will also learn about LLMs, transformers, and NLP and use them to create a chatbot. In lesson 2, you will explore the best practices and design patterns using AI for technical help and software architecture. You will learn how AI helps with code generation, bug detection, and troubleshooting and list the useful AI prompts for software development. This lesson will also teach you to leverage AI to generate static websites and architecture diagrams.
Read more
Generative AI for Software Development Workflows and its Considerations
In this module, you will learn how to use AI for DevSecOps, software testing, and Generative AI considerations. Lesson 1 introduces you to the nuances of using AI for CI/CD and software security using AI tools. You will learn how to generate test cases for specific use cases using AI. You will also understand the integration of AI into software development workflows. In lesson 2, you will explore the ethical considerations for software development in AI and innovation with Generation AI. You will explore some of the useful prompts for software testing and DevOps.
Final Project and Final Exam
In this module, you will complete a final project where you will have an opportunity to demonstrate your proficiency in building personalized learning for developers. Next, the final exam will test your knowledge of the course’s content including the essential concepts and their application.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Focuses on generative AI, which is transforming software engineering
Taught by renowned instructors Rav Ahuja and Ramanujam Srinivasan
Develops skills and knowledge for applying generative AI techniques in software development
Provides hands-on exercises, demos, and projects for practical implementation
Covers ethical considerations for responsible use of AI in software development
Requires a basic understanding of AI and software development concepts

Save this course

Save Generative AI: Elevate your Software Development Career to your list so you can find it easily later:
Save

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 Generative AI: Elevate your Software Development Career with these activities:
Review command line basics
Gather your prerequisites by reviewing the basics of navigating in an OS command line
Browse courses on Command Line
Show steps
  • Start a terminal or command prompt
  • Navigate to different directories
  • List files and directories
  • Create, edit, and delete files
Discuss AI techniques and their applications with classmates
Engage in discussions to clarify your understanding and gain insights from others
Browse courses on AI Techniques
Show steps
  • Find a study group or online forum
  • Prepare questions and share your thoughts on AI techniques
  • Actively listen to others' perspectives and engage in respectful discussions
Complete coding exercises on LeetCode
Reinforce your understanding of AI concepts by solving coding exercises
Show steps
  • Sign up for a LeetCode account
  • Choose a problem to solve
  • Write and submit your code
  • Review the solution and learn from other approaches
Three other activities
Expand to see all activities and additional details
Show all six activities
Follow tutorials on NLP using Hugging Face Transformers
Expand your knowledge of NLP by working through guided tutorials
Browse courses on NLP
Show steps
  • Create a Hugging Face account and install the Transformers library
  • Choose a tutorial to follow
  • Run the code and experiment with different models and parameters
  • Join the Hugging Face community forums and ask questions
Create a blog post or presentation on a Generative AI use case
Deepen your understanding of generative AI by researching and presenting a use case
Browse courses on Generative AI
Show steps
  • Choose a specific generative AI use case
  • Research the technology and its applications
  • Create a blog post, presentation, or video to share your findings
  • Share your work with others and engage in discussions
Contribute to an open-source AI project on GitHub
Gain practical experience by contributing to an open-source AI project
Browse courses on Open Source
Show steps
  • Find an open-source AI project to contribute to
  • Review the project's documentation and codebase
  • Identify an area where you can make a contribution
  • Submit a pull request with your changes

Career center

Learners who complete Generative AI: Elevate your Software Development Career will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
With the growing importance of artificial intelligence and machine learning in technology, it's crucial to stay updated with the latest advancements. As a Machine Learning Engineer, you are expected to be proficient in developing and maintaining AI solutions, and this course is an excellent resource to expand your knowledge and skills in Generative AI. By mastering the techniques covered in this course, you can enhance your capabilities in building more efficient and intelligent software systems.
Software Developer
To excel as a Software Developer, it's essential to embrace the advancements that Generative AI brings to the field. This course provides a comprehensive foundation in leveraging Generative AI for various aspects of software development, including code generation, bug detection, and optimization. By taking this course, you'll gain a competitive advantage in your software development career, improving the efficiency and quality of your work.
AI Engineer
This course is highly relevant to an AI Engineer's role, providing in-depth knowledge of Generative AI's applications in software development. By enrolling in this course, you will boost your ability to design, develop, and implement Generative AI solutions, empowering you to push the boundaries of AI-driven software development.
Data Scientist
Data Scientists seeking to apply their skills in Generative AI will find this course particularly valuable. It covers the integration of Generative AI techniques into data science workflows, including data generation, model development, and analysis. By gaining proficiency in these concepts, you can extend your capabilities as a Data Scientist and contribute to the advancement of AI-powered data science solutions.
DevOps Engineer
DevOps Engineers looking to enhance their skillset in Generative AI will benefit from this course. It will provide you with a deep understanding of how Generative AI can streamline your processes, improve efficiency, and enhance software delivery. By implementing the techniques taught in this course, you'll become a more valuable asset to your DevOps team, driving innovation and productivity.
Technical Architect
This course can be highly beneficial for Technical Architects aiming to incorporate Generative AI into their architectural designs. It equips you with the knowledge to make informed decisions on when and how to leverage Generative AI to improve software architecture, performance, and maintainability. By taking this course, you'll gain the competitive edge needed to design and develop cutting-edge software solutions.
Quality Assurance Analyst
For Quality Assurance Analysts seeking to advance their careers in the era of Generative AI, this course is an excellent choice. It covers the application of Generative AI in testing methodologies, enabling you to improve test coverage, enhance defect detection, and automate testing processes. By mastering these concepts, you'll become a more effective and efficient Quality Assurance Analyst, ensuring the delivery of high-quality software.
Technical Writer
This course can be beneficial for Technical Writers seeking to elevate their skills in conveying complex technical information. By exploring how Generative AI can assist in content generation, organization, and style optimization, you will gain the ability to create more engaging and effective technical documentation. Taking this course will enhance your competitiveness and enable you to produce high-quality written materials that meet the needs of diverse audiences.
Product Manager
Product Managers looking to stay at the forefront of innovation will find this course insightful. It provides a comprehensive overview of how Generative AI can transform product development, enabling you to make data-driven decisions, enhance user engagement, and identify new market opportunities. By incorporating the learnings from this course into your product strategy, you can position your products for success and drive business growth.
Business Analyst
Business Analysts aiming to leverage Generative AI to gain insights and drive business decisions will find this course valuable. It covers the application of Generative AI in data analysis, forecasting, and optimization, empowering you to identify patterns, uncover hidden trends, and make data-driven recommendations. Taking this course will enhance your analytical skills and enable you to deliver actionable insights that support strategic business planning.
IT Consultant
This course is relevant to IT Consultants seeking to expand their knowledge and services in Generative AI. It equips you with a deep understanding of the technology, its applications, and its potential impact on various industries. By becoming proficient in Generative AI, you can provide valuable guidance to clients, helping them navigate the complexities of AI adoption and achieve their business goals.
Data Architect
This course may be helpful for Data Architects looking to explore the integration of Generative AI into data management strategies. It covers the use of Generative AI for data generation, data integration, and data quality improvement. By gaining proficiency in these concepts, you can enhance your ability to design and implement effective data management solutions that leverage the power of Generative AI.
IT Manager
IT Managers seeking to stay updated on emerging technologies will find this course beneficial. It provides a comprehensive overview of Generative AI, its applications, and its potential impact on IT infrastructure and services. By understanding the capabilities of Generative AI, you can make informed decisions about its adoption and implementation within your organization, leading to improved efficiency and innovation.
Cloud Architect
Cloud Architects interested in exploring the integration of Generative AI into cloud computing platforms will find this course relevant. It covers the use of Generative AI for infrastructure optimization, cost management, and application modernization. By gaining knowledge in these areas, you can enhance your ability to design and manage cloud architectures that leverage the benefits of Generative AI, leading to improved performance, reduced costs, and faster innovation.
Project Manager
Project Managers seeking to incorporate Generative AI into their project management methodologies may find this course helpful. It provides insights into how Generative AI can assist in project planning, risk management, and stakeholder engagement. By understanding the potential applications of Generative AI, you can explore ways to enhance project outcomes and drive successful project delivery.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative AI: Elevate your Software Development Career.
Provides a practical introduction to deep learning for software developers. It covers the fundamentals of deep learning, including neural networks, convolutional neural networks, and recurrent neural networks. It also includes hands-on exercises and projects to help readers apply deep learning to real-world problems.
Provides a hands-on approach to deep learning, covering the mathematical foundations, implementation details, and practical applications. While it is not specific to generative AI, it offers a deep understanding of the underlying concepts and techniques used in generative AI models.
Examines the limitations and biases of AI systems and discusses the importance of critical thinking and human judgment in the development and deployment of AI. While it does not specifically focus on generative AI, it provides a valuable perspective on the challenges and ethical considerations associated with AI.
Examines the potential risks and benefits of advanced AI and discusses the ethical considerations and challenges associated with its development. While it does not specifically focus on generative AI, it provides a valuable perspective on the broader implications of AI.
Explores the fundamental principles of machine learning and discusses the potential impact of AI on various aspects of our lives. While it does not specifically focus on generative AI, it provides a broader perspective on the development and implications of AI.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Generative AI: Elevate your Software Development Career.
Generative AI Data Privacy and Safe Use for Developers
Most relevant
GenAI for Application Developers
Most relevant
Generative AI for Code Completion
Most relevant
Generative AI Foundations
Most relevant
Generative AI Architecture and Application Development
Most relevant
AI for Efficient Programming: Harnessing the Power of LLMs
Most relevant
Using GenAI to Automate Software Development Tasks
Most relevant
Code Faster with Tabnine: Optimise a NextJS Application
Most relevant
GenAI for Product Managers
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser