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Generative AI in Software Development

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Board Infinity

Generative AI in Software Development

Board Infinity

Instructor: Board Infinity

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply Generative AI techniques to enhance software development, including AI-powered coding, debugging, and automation.

  • Evaluate advanced AI concepts such as Embeddings, RAG, and Fine-Tuning to optimize AI-driven applications.

  • Analyze the role of AI models like GPT, Gemini, and Copilot in modern software engineering workflows.

Details to know

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Recently updated!

March 2025

Assessments

7 assignments

Taught in English
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There are 2 modules in this course

This module introduces learners to the fundamental concepts of Generative AI and its applications in software development. It covers key AI technologies, including Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning, explaining their differences and real-world use cases. Learners will explore the evolution of Generative AI, comparing it with Discriminative AI, and understand how these models contribute to tasks such as content creation, classification, and predictive analysis. Additionally, the module examines the latest AI models, such as GPT, Gemini, and Copilot, showcasing their role in software engineering. By the end of this module, learners will have a strong foundation in Generative AI, preparing them for advanced applications in coding, automation, and AI-driven software development.

What's included

10 videos2 readings3 assignments1 discussion prompt

This module explores the transformative role of AI in modern software engineering. It covers AI-powered code generation, debugging, and optimization, demonstrating how tools like GitHub Copilot, ChatGPT, and CodeWhisperer assist developers in writing efficient, maintainable, and error-free code. Learners will also delve into advanced AI concepts such as embeddings, retrieval-augmented generation (RAG), and fine-tuning, gaining insights into their applications in real-world software development. The module concludes with discussions on the future of AI in software engineering, human-AI collaboration, and the ethical considerations developers must address when integrating AI into their workflows.

What's included

9 videos1 reading4 assignments

Instructor

Board Infinity
Board Infinity
120 Courses212,157 learners

Offered by

Board Infinity

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