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Generative AI

Elevate your Software Development Career

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.

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!

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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.

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

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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

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Gather your prerequisites by reviewing the basics of navigating in an OS command line

Browse courses on Command Line

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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

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Engage in discussions to clarify your understanding and gain insights from others

Browse courses on AI Techniques

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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

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Reinforce your understanding of AI concepts by solving coding exercises

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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

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Follow tutorials on NLP using Hugging Face Transformers

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Expand your knowledge of NLP by working through guided tutorials

Browse courses on NLP

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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

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Deepen your understanding of generative AI by researching and presenting a use case

Browse courses on Generative AI

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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

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Gain practical experience by contributing to an open-source AI project

Browse courses on Open Source

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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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Software Developer

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.

See salaries and explore the career path for AI Engineer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for DevOps Engineer

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.

See salaries and explore the career path for Technical Architect

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.

See salaries and explore the career path for Quality Assurance Analyst

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.

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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.

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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.

See salaries and explore the career path for Business Analyst

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.

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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.

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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.

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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.

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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.

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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.

Deep Learning for Coders with fastai and PyTorch

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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.

Generative AI

Elevate your Software Development Career

Three deals to help you save

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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