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AI-Powered Software Development Certification Specialization

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AI-Powered Software Development Certification Specialization

Master GenAI for Modern App Development

Priyanka Mehta

Instructor: Priyanka Mehta

Included with Coursera Plus

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Get in-depth knowledge of a subject
Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • Build GenAI workflows with Copilot and ChatGPT

  • Automate planning, coding, testing, deployment

  • Process data for localization and documentation

  • Evaluate AI output for quality and compliance

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

August 2025

75 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Simplilearn

Specialization - 10 course series

What you'll learn

  • Understand the fundamentals of Generative AI and LLMs

  • Learn how prompt engineering shapes AI responses

  • Explore key elements of effective prompt design

  • Watch a hands-on ChatGPT demo for multilingual reviews

Skills you'll gain

Category: Generative AI
Category: ChatGPT
Category: Software Development Life Cycle
Category: Prompt Engineering
Category: Software Development Tools
Category: Application Design
Category: LLM Application
Category: Application Development
Category: Software Development Methodologies

What you'll learn

  • Understand the core process of requirement gathering and analysis

  • Apply GenAI to generate smart, context-aware questionnaires

  • Translate user needs into actionable use cases with precision

  • Use AI tools for localization and multilingual requirement support

Skills you'll gain

Category: Requirements Analysis
Category: Generative AI
Category: Requirements Elicitation
Category: Prioritization
Category: User Story
Category: LLM Application
Category: Workflow Management
Category: Customer Insights
Category: Strategic Prioritization
Category: Process Optimization
Category: Language Interpretation, Translation, and Studies
Category: Operational Efficiency
Category: Prompt Engineering
Category: Software Design Documents
Category: User Requirements Documents

What you'll learn

  • Discover how Generative AI enhances project planning, execution, and closure.

  • Create charters, agile sprints, and risk plans using AI-powered tools.

  • Automate documentation and extract insights across the project lifecycle.

  • Explore real-world GenAI use cases, including Walmart’s AI-driven initiatives.

Skills you'll gain

Category: Agile Methodology
Category: Case Studies
Category: Risk Analysis

What you'll learn

  • Use GenAI tools to design software architecture and generate clean, functional code

  • Create microservice architecture diagrams with AI-powered platforms

  • Enhance UI/UX through smart navigation and personalized user experiences

  • Rapidly prototype websites and wireframes using Figma, Frames, Uizard, and Microsoft Designer

Skills you'll gain

Category: Generative AI
Category: AI Personalization
Category: Wireframing
Category: Prototyping
Category: Figma (Design Software)
Category: Software Architecture
Category: Software Design
Category: Responsive Web Design
Category: Design
Category: UI Components
Category: Technical Design
Category: User Flows
Category: User Interface and User Experience (UI/UX) Design

What you'll learn

  • Automate code, scripts, test cases, and documentation using GitHub Copilot

  • Build and refactor apps with GenAI, including React project structures

  • Understand GenAI challenges like code quality, complexity, and adoption

  • Compare top AI coding tools through real-world use cases from leading firms

Skills you'll gain

Category: Generative AI
Category: Software Development
Category: Maintainability
Category: Software Documentation
Category: Automation
Category: Application Development
Category: Natural Language Processing
Category: Code Review
Category: Software Development Tools
Category: Unit Testing
Category: Prompt Engineering
Category: Test Case
Category: Responsible AI

What you'll learn

  • Automate code migration tasks like language conversion, framework shifts, and version upgrades using GenAI

  • Optimize code performance by reducing time and space complexity with AI tools

  • Refactor legacy code to enhance structure, maintainability, and efficiency

  • Apply real-world GenAI use cases, including Uber’s transformation, to practical coding scenarios

Skills you'll gain

Category: Generative AI
Category: Performance Tuning
Category: Algorithms
Category: Maintainability
Category: Software Versioning
Category: Data Structures
Category: Kubernetes
Category: Scalability
Category: Microsoft Copilot
Category: Data Migration
Category: Software Development Tools
Category: Application Frameworks
Category: Artificial Intelligence

What you'll learn

  • Automate test planning, case creation, and documentation using GenAI tools

  • Generate and manage synthetic test data for realistic testing scenarios

  • Execute and analyze tests efficiently with AI-powered scripts and insights

  • Streamline requirement analysis and test cycle closure using real-world GenAI demos

Skills you'll gain

Category: Generative AI
Category: Software Testing
Category: Requirements Analysis
Category: Test Data
Category: Test Planning
Category: Test Case
Category: Scenario Testing
Category: Test Automation
Category: Software Quality Assurance
Category: Test Tools
Category: Acceptance Testing

What you'll learn

  • Automate deployment planning, architecture design, and IaC using GenAI tools

  • Generate scripts with Terraform, Docker, and Jenkins pipelines using GitHub Copilot

  • Configure environments and streamline EC2 deployments with AI

  • Create and automate professional release notes for deployment cycles

Skills you'll gain

Category: Generative AI
Category: CI/CD
Category: Jenkins
Category: Software Architecture
Category: Requirements Analysis
Category: Infrastructure as Code (IaC)
Category: Terraform
Category: Kubernetes
Category: Docker (Software)
Category: Cloud Infrastructure
Category: Technical Design
Category: Scalability
Category: Application Deployment
Category: Release Management
Category: Amazon Elastic Compute Cloud
Category: Continuous Deployment
Category: Amazon Web Services

What you'll learn

  • Automate software maintenance tasks using GenAI tools

  • Fix bugs and security issues more efficiently with AI

  • Analyze logs and recognize patterns for faster support

  • Enhance system knowledge management and reliability through GenAI

Skills you'll gain

Category: Anomaly Detection
Category: Generative AI
Category: Automation
Category: Software Documentation
Category: Technical Support
Category: Maintainability
Category: Software Engineering
Category: Security Testing
Category: Debugging
Category: System Support
Category: System Monitoring

What you'll learn

  • Understand key ethical frameworks for responsible AI development

  • Identify and mitigate bias in AI-generated software code

  • Navigate legal considerations like data privacy, transparency, and licensing

  • Apply real-world case studies to build compliant and trustworthy GenAI systems

Skills you'll gain

Category: Data Ethics
Category: Generative AI
Category: Information Privacy
Category: Governance
Category: Law, Regulation, and Compliance
Category: Diversity Awareness
Category: Mitigation
Category: Data Security
Category: Responsible AI
Category: Legal Risk
Category: Regulation and Legal Compliance
Category: Ethical Standards And Conduct
Category: Artificial Intelligence
Category: Engineering Software
Category: Case Studies
Category: Personally Identifiable Information

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Instructor

Priyanka Mehta
Simplilearn
57 Courses17,580 learners

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