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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

Generative AI, ChatGPT, Software Development Life Cycle, Prompt Engineering, Software Development Methodologies, Software Development Tools, LLM Application, and Application Development

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

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

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

Risk Analysis, Case Studies, and Agile Methodology

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

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

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

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

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

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

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

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

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

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

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

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

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Priyanka Mehta
Simplilearn
67 Courses28,325 learners

Offered by

Simplilearn

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