Coursera

Building Smarter Software: GenAI Tools and Practices Specialization

Coursera

Building Smarter Software: GenAI Tools and Practices Specialization

Transform Development with GenAI Integration. Learn to integrate AI tools across software development roles for enhanced productivity.

Starweaver
Karlis Zars
Christopher Klaus

Instructors: Starweaver

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Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject

from 120 reviews of courses in this program

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Integrate GenAI tools into development workflows across front-end, back-end, mobile, and DevOps roles

  • Apply software development fundamentals including version control, debugging, and testing management

  • Implement responsible AI practices while maintaining code quality and human oversight in development processes

Details to know

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Taught in English

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Specialization - 9 course series

What you'll learn

  • Identify the capabilities of GenAI for enhancing back-end development functions.

  • Explore real-world applications of GenAI in back-end development scenarios.

  • Deploy strategies and tactics to responsibly integrate GenAI into web development practices, while maintaining human oversight and accountability.

Skills you'll gain

Category: Generative AI
Category: Back-End Web Development
Category: Risk Management
Category: Responsible AI
Category: Database Management
Category: Databases
Category: OpenAI API
Category: Application Programming Interface (API)
Category: Artificial Intelligence
Category: Prompt Engineering
Category: Performance Tuning
Category: API Design

What you'll learn

  • Identify the capabilities of GenAI for basic role-specific front-end development functions.

  • Examine real-world applications to leverage GenAI for streamlining work and fostering innovation in front-end development functions.

  • Deploy strategies & tactics to responsibly integrate GenAI into front-end development practices while maintaining human oversight and accountability.

Skills you'll gain

Category: Generative AI
Category: Test Tools
Category: Frontend Performance
Category: Test Automation
Category: Front-End Web Development
Category: UI/UX Strategy
Category: Software Documentation
Category: Responsible AI
Category: Prompt Engineering
Category: Data Ethics
Category: HTML and CSS
Category: Frontend Integration
Category: Code Review
Category: User Interface and User Experience (UI/UX) Design

What you'll learn

  • Review the limitations of GenAI for Mobile App development.

  • Evaluate the results of GenAI for a real-world application in mobile app development functions.

  • Compare and contrast the risks, challenges, and ethical considerations of GenAI in the workplace for Mobile App development functions. 

Skills you'll gain

Category: Generative AI
Category: Human Computer Interaction
Category: Application Development
Category: Prompt Engineering
Category: Test Automation
Category: Mobile Development
Category: Analysis
Category: User Interface (UI)
Category: Performance Tuning
Category: Responsible AI
Category: Automation
Category: API Testing

What you'll learn

Skills you'll gain

Category: Prompt Engineering
Category: Authentications
Category: OpenAI API
Category: Application Programming Interface (API)
Category: Performance Tuning
Category: JSON
Category: Model Evaluation
Category: API Design
Category: ChatGPT
Category: Large Language Modeling
Category: Key Management

What you'll learn

  • Identify the capabilities of GenAI for basic role-specific DevOps functions.

  • Evaluate the results of GenAI for a real-world application in DevOps functions.

  • Compare and contrast the risks, challenges, and ethical considerations of GenAI in the workplace for DevOps functions in general.

Skills you'll gain

Category: Generative AI
Category: CI/CD
Category: Kubernetes
Category: DevOps
Category: Infrastructure as Code (IaC)
Category: Devops Tools
Category: Automation
Category: Prompt Engineering
Category: Responsible AI
Category: Productivity
Category: Terraform
Category: Data Ethics
Category: Innovation
Category: Software Documentation

What you'll learn

  • Identify the capabilities of Gemini for Google Cloud (Duet AI) for application development functions.

  • Examine real-world applications to leverage GenAI for streamlining work and fostering innovation in application development.

  • Deploy strategies & tactics to responsibly integrate GenAI into application development practices while maintaining human oversight & accountability.

Skills you'll gain

Category: Prompt Engineering
Category: Generative AI
Category: Application Deployment
Category: Google Gemini
Category: Software Development Tools
Category: Debugging
Category: Code Review
Category: Continuous Deployment
Category: Application Development
Category: Google Cloud Platform
Category: Responsible AI

What you'll learn

  • Identify the fundamentals of version control in software development.

  • Identify common bugs and apply effective debugging strategies.

  • Evaluate the principles of object-oriented programming and its implementation in code.

  • Recognize basic design patterns in object-oriented programming for more efficient software design.

Skills you'll gain

Category: Debugging
Category: Version Control
Category: Object Oriented Programming (OOP)
Category: Git (Version Control System)
Category: Software Development
Category: Object Oriented Design
Category: Command-Line Interface
Category: Software Design
Category: Programming Principles
Category: Computer Programming
Category: Software Design Patterns
Category: Integrated Development Environments
Category: Software Engineering

What you'll learn

  • Define key concepts, benefits, and frameworks of test management in software testing.

  • Develop comprehensive test plans that align with project requirements.

  • Execute testing activities effectively while utilizing relevant tools and techniques.

Skills you'll gain

Category: Test Planning
Category: Risk Management Framework
Category: Test Case
Category: Acceptance Testing
Category: System Testing
Category: Test Execution Engine
Category: User Acceptance Testing (UAT)
Category: Software Documentation
Category: Software Testing
Category: Test Tools
Category: Quality Assurance
Category: Software Quality Assurance
Category: Agile Methodology

What you'll learn

Skills you'll gain

Category: GitLab
Category: Integrated Development Environments
Category: Development Environment
Category: AI Workflows
Category: Code Review
Category: Computer Programming Tools
Category: Debugging

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Instructors

Starweaver
Coursera
539 Courses 984,534 learners
Karlis Zars
33 Courses 56,681 learners
Christopher Klaus
Coursera
16 Courses 12,389 learners

Offered by

Coursera

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