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AI-Powered Software Development Certification Specialization
Simplilearn

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, Prompt Engineering, Software Development Life Cycle, ChatGPT, LLM Application, Application Design, Application Development, Software Development Tools, and 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

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

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, Wireframing, AI Personalization, Prototyping, Software Design, UI Components, Figma (Design Software), User Interface and User Experience (UI/UX) Design, User Flows, Software Architecture, Design, Technical 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, Code Review, Software Development, Software Development Tools, Test Case, Natural Language Processing, Maintainability, Software Documentation, Responsible AI, Prompt Engineering, Application Development, Unit Testing, and Automation

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

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 Case, Test Automation, Acceptance Testing, Test Planning, Test Data, Requirements Analysis, 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, Terraform, Docker (Software), Infrastructure as Code (IaC), Kubernetes, Software Architecture, Amazon Web Services, Release Management, Continuous Deployment, Cloud Infrastructure, Application Deployment, Requirements Analysis, Amazon Elastic Compute Cloud, Technical Design, and Scalability

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

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

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

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

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Instructor

Priyanka Mehta
Simplilearn
67 Courses26,611 learners

Offered by

Simplilearn

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