Generative AI is transforming the field of software engineering, making it a crucial skill for developers to have in their toolkit. This IBM course is designed to provide you with a comprehensive understanding of how generative AI techniques can be applied to enhance software development processes.
Generative AI: Elevate your Software Development Career
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Generative AI: Elevate your Software Development Career
This course is part of multiple programs.
Instructors: Rav Ahuja +1 more
22,740 already enrolled
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4.5
(164 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 17 hours
Learn at your own pace
95%
Most learners liked this course
What you'll learn
Demonstrate how to generate code snippets, scripts, and programs using generative AI models
Apply generative AI techniques for application design, architecture, bug detection, code refactoring, and program optimization
Develop innovative solutions using generative AI-powered tools such as ChatGPT, GitHub Copilot, Google Gemini, and IBM watsonx Code Assistant
Explainthe challenges and ethical considerations associated with using generative AI for programming, along with strategies for mitigating them
Skills you'll gain
- Category: Software Development
- Category: Data Ethics
- Category: Software Architecture
- Category: Test Automation
- Category: Natural Language Processing
- Category: DevSecOps
- Category: Software Testing
- Category: Application Security
- Category: Code Review
- Category: Artificial Intelligence
- Category: CI/CD
- Category: Large Language Modeling
- Category: Software Development Tools
- Category: Prompt Engineering
- Category: Generative AI
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
7 assignments
Taught in English
Build your subject-matter expertise
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 3 modules in this course
In this module, you will explore how generative AI is transforming software development by enhancing productivity, automating repetitive tasks, and enabling intelligent code generation and design. You will gain a foundational understanding of large language models (LLMs), transformers, and natural language processing (NLP), as well as how these technologies power tools like ChatGPT and GitHub Copilot. Through hands-on labs and real-world examples, you will learn to set up AI development environments, use generative AI tools to build chatbots, generate database schemas, create design diagrams, and prototype applications. In addition, you will learn to leverage AI to generate static websites and architecture diagrams. You will also learn to craft effective prompts for software design, manage legacy code with AI, and apply best practices in leveraging AI throughout the software development lifecycle.
What's included
14 videos2 readings3 assignments4 app items9 plugins
In this module, you will learn how generative AI transforms software development by integrating advanced AI techniques into continuous integration and deployment (CI/CD), security, testing, and documentation workflows. You will gain hands-on experience with practical tools like Docker and AI-powered test case generation, code translation, and review. Additionally, you will explore essential considerations, including ethical use, security, and best practices for embedding AI in development lifecycles. To support your learning, the module also provides a concise cheatsheet summarizing key concepts and tools related to generative AI in DevSecOps and software testing, serving as a quick reference to enhance your workflow.
What's included
7 videos3 readings3 assignments5 app items1 discussion prompt1 plugin
In this final module, you will consolidate your learning by engaging with a comprehensive project that challenges you to build a personalized learning platform for developers using generative AI. Starting with pre-work to organize your approach, you will explore the project scope and objectives in detail before applying generative AI models to create adaptive learning experiences in CodeCraftHub. The module culminates with a final exam that assesses your understanding and ability to apply generative AI concepts effectively in software development scenarios, preparing you for real-world implementation.
What's included
1 video3 readings1 assignment2 app items1 plugin
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
Instructor ratings
4.5 (34 ratings)Rav Ahuja
IBM
57 Courses3,848,819 learners
Offered by
IBM
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Learner reviews
4.5
164 reviews
- 5 stars
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Showing 3 of 164
PC
4
Reviewed on Sep 9, 2024
Prompt Engineering section really helps in writing effective prompts. Also I learned about lot of tools about which I was not aware. Thanks for the course.
AU
5
Reviewed on Apr 15, 2024
The Best ever explanation and the best ever course I have taken till date.
HS
5
Reviewed on Jul 1, 2024
Great topical introduction to Generative AI with a focus on software developers' role in Gen AI's expansion into the workplace. Enjoyable.
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