IBM
Generative AI: Elevate your Software Development Career
IBM

Generative AI: Elevate your Software Development Career

This course is part of multiple programs.

Taught in English

Some content may not be translated

Rav Ahuja
Ramanujam Srinivasan

Instructors: Rav Ahuja

3,098 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.6

(27 reviews)

Intermediate level

Recommended experience

17 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Discuss how to generate code snippets, scripts, and programs using generative AI models

  • Apply techniques for application design and architecture, bug detection, code refactoring, and program optimization using generative AI

  • Develop innovative solutions using Gen AI-powered tools and models such as ChatGPT, GitHub CoPilot, Google Gemini, and IBM watsonx Code Assistant

  • Explain challenges and ethical considerations associated with using Generative AI for programming and options for mitigating them

Details to know

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Recently updated!

January 2024

Assessments

7 assignments

Course

Gain insight into a topic and learn the fundamentals

4.6

(27 reviews)

Intermediate level

Recommended experience

17 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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There are 3 modules in this course

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.

What's included

11 videos2 readings3 assignments4 app items9 plugins

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.

What's included

6 videos3 readings3 assignments5 app items1 discussion prompt1 plugin

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.

What's included

3 readings1 assignment2 app items1 plugin

Instructors

Instructor ratings
4.8 (7 ratings)
Rav Ahuja
IBM
52 Courses2,531,276 learners

Offered by

IBM

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4.6

27 reviews

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AU
5

Reviewed on Apr 14, 2024

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