Coursera
Certificate
0
Building Smarter Software: GenAI Tools and Practices
About this course
This specialization empowers software developers to harness Generative AI tools across the entire development lifecycle. Learn to integrate AI-powered solutions into front-end, back-end, mobile, and DevOps workflows while mastering essential software development fundamentals including version control, debugging, and testing management for enhanced productivity and code quality.
C
55/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Integrate generative AI APIs into front‑end, back‑end, and mobile applications
- Apply prompt engineering techniques to guide large language models for code generation
- Use AI‑assisted tools for version control, debugging, and test automation
- Build CI/CD pipelines that incorporate AI‑driven code suggestions and quality checks
- Evaluate the impact of AI tools on software productivity and maintainability
Course objectives
- Enable developers to select and apply appropriate generative AI tools for different parts of a project
- Teach practical workflows for combining AI assistance with traditional software engineering practices
- Develop proficiency in managing AI‑enhanced codebases through version control and testing
Artificial Intelligence
DevOps
#version control
#ai tools
#generative ai
#debugging
#frontend development
#backend development
#software development
#devops
#mobile development
#testing management
#prompt engineering
#ai code generation
#large language models
#github copilot
#front-end development
#back-end development
#devops pipelines
#ci/cd
#debugging automation
#testing automation
#software_productivity
#ai integration
#cloud ai services
#api integration
$49.00
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