Apply prompt engineering and generative AI tools to gather business requirements, produce documentation, and create systems architecture diagrams
Create structured systems analysis, solutions architectures, optimized processes, interactive dashboards, and improved stakeholder communications
Generate and improve workflows by producing Business Process Model and Notation diagrams, process flowcharts, and journey maps using generative AI
Integrate gen AI with business analysis platforms, such as Jira, Confluence, Miro, and Power BI, to improve deliverable quality and efficiency
您将获得的技能
类别:Systems Thinking
Systems Thinking
类别:Process Mapping
Process Mapping
类别:Business Consulting
Business Consulting
类别:Process Modeling
Process Modeling
类别:Business Process Modeling
Business Process Modeling
类别:Workflow Management
Workflow Management
类别:Business Workflow Analysis
Business Workflow Analysis
类别:Software Architecture
Software Architecture
类别:Systems Analysis
Systems Analysis
类别:AI Integrations
AI Integrations
类别:Stakeholder Communications
Stakeholder Communications
类别:Process Flow Diagrams
Process Flow Diagrams
类别:Systems Architecture
Systems Architecture
类别:Solution Architecture
Solution Architecture
类别:Consulting
Consulting
类别:Process Optimization
Process Optimization
您将学习的工具
类别:Generative AI
Generative AI
类别:Miro AI
Miro AI
类别:AI Workflows
AI Workflows
类别:Business Analysis Tools
Business Analysis Tools
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
12 项作业
授课语言:英语(English)
91% of learners achieved a positive career outcome
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该课程共有4个模块
Are you a Systems Analyst, IT Systems Architect, Software Architect, or a Solutions Architect and keen to use generative AI (GenAI) to enhance how you analyze and design systems, define solution requirements, and share technical insights?
In this course, you’ll learn how to craft prompts and apply AI-driven requirement extraction to convert unstructured inputs, such as stakeholder interviews, emails, and process notes, into structured documentation, including user stories, use cases, system requirements, and acceptance criteria.
You’ll gain hands-on experience generating and refining BPMN diagrams, system architecture workflows, process flowcharts, and customer journey maps using AI-powered modeling tools. You'll use GenAI to produce solution design assets such as business rules, architecture summaries, impact assessments, and stakeholder-ready briefs. Plus, you'll explore practical integration of AI into platforms such as Jira, Confluence, Miro, and Power BI to enhance collaboration, traceability, and efficiency across solution design lifecycles.
If you’re looking to develop job-ready skills in system analysis, solution clarity, and stakeholder alignment using GenAI, enroll today and become the future-ready architect businesses need.
This module introduces the foundational concepts of using Generative AI in requirements engineering. You’ll explore how AI can support prompt engineering, stakeholder interviews, requirement gathering, and documentation tasks typically performed by a systems analyst. Through hands-on examples, you will gain practical experience using tools such as ChatGPT to simulate interviews and generate requirements.
涵盖的内容
5个视频1篇阅读材料3个作业8个插件
显示有关单元内容的信息
5个视频•总计24分钟
Course Introduction•4分钟
Prompt Engineering Basics and Requirement Gathering•5分钟
Designing Smart Stakeholder Interviews•5分钟
Using Generative AI to Simulate Stakeholder Interviews•5分钟
Using Generative AI to Generate Requirement Specs•5分钟
1篇阅读材料•总计5分钟
Course Overview•5分钟
3个作业•总计37分钟
Practice Quiz: Prompt Engineering & Requirement Gathering•10分钟
Practice Quiz: Simulating Interviews and Drafting Specifications with Generative AI•6分钟
Graded Quiz: Generative AI Foundations for Requirements Engineering•21分钟
8个插件•总计105分钟
Reading: How to Make the Most of this Course•2分钟
Podcast: How Generative AI can improve Analysis and Architecture•3分钟
Reading: Generating AI-Driven Templates and Artifacts•7分钟
Lab: Prompt Engineering, Stakeholder Interviews, and Simulation•30分钟
Podcast: Harnessing Generative AI for Prompt Engineering•5分钟
Podcast: Generative AI for Stakeholder Interviews and Specifications•15分钟
Lab: Generating BRDs, FRDs, SRS, User Manuals and Stakeholder Interview simulation•40分钟
Podcast: Summary and Highlights: Generative AI Foundations for Requirements Engineering•3分钟
Process Modeling, Architecture, and Documentation with Generative AI
第 2 单元•小时 后完成
单元详情
This module focuses on the application of Generative AI for modeling business processes and documenting system flows. You will learn how to auto-generate diagrams, such as BPMN and flowcharts, critique workflows, and create structured documentation. You’ll use Generative AI tools to convert informal notes into formal artifacts, enhancing efficiency in documentation.
涵盖的内容
6个视频4个作业9个插件
显示有关单元内容的信息
6个视频•总计31分钟
Generating BPMN Diagrams from Text Prompts Using Generative AI•6分钟
Auto-Creating Process Flowcharts and Customer Journey Maps Using Generative AI•4分钟
Designing System Architecture•5分钟
Converting Process Notes into Structured Diagrams Using Generative AI•5分钟
Using Generative AI to Critique Existing Workflows•5分钟
Generating Summaries, Dashboards, and Visual Insights Using Generative AI•6分钟
4个作业•总计39分钟
Practice Quiz: Auto-Generating BPMN and Process Flow Diagrams•6分钟
Practice Quiz: Workflow Review and Business Rules Documentation•6分钟
Practice Quiz: Visual Reporting and Data Representation with Generative AI•6分钟
Graded Quiz: Process Modeling, Architecture, and Documentation with Generative AI•21分钟
9个插件•总计125分钟
Reading: Generating a BPMN Process Model from an Email Thread or Meeting Summary•7分钟
Podcast: Streamline Process and Architecture Design with Gen AI•15分钟
Lab: Generating BPMN, Process Flowcharts, Customer Journey Maps, and System Architecture Diagrams with Generative AI•30分钟
Reading: Creating Business Rules Documentation with Generative AI•6分钟
Podcast: How Can I Enhance Workflow Analysis and Business Rules Documentation with Generative AI?•2分钟
Lab: Workflow Critique and Business Rules Documentation with Generative AI•30分钟
Podcast: How Can I Transform Data into Insights with Generative AI for Visual Reporting?•2分钟
Lab: Using Generative AI with Excel, SQL, Power BI, and Tableau•30分钟
Podcast: Summary and Highlights: Process Modeling, Architecture, and Documentation with Generative AI•3分钟
Analysis, Testing, and Compliance with Generative AI
第 3 单元•小时 后完成
单元详情
In this module, you will explore ways to enhance business communication, document review, and tool integration using Generative AI. Key focus areas include generating stakeholder-specific communications, analyzing documents for gaps, and auto-creating stakeholder maps. You’ll also learn about integrating Generative AI workflows with platforms such as Jira, Confluence, and Miro.
涵盖的内容
6个视频4个作业10个插件
显示有关单元内容的信息
6个视频•总计33分钟
Using Generative AI for Document Review and Communication Templates•5分钟
Auto-Translating Documents and Stakeholder Mapping with Generative AI•5分钟
Generating Test Cases and Scenarios Using Generative AI•5分钟
Simulating System Deployment and Validation with Generative AI•6分钟
Ensuring Security Compliance with Generative AI•7分钟
Optimizing Performance and Scalability Using Generative AI•5分钟
4个作业•总计51分钟
Practice Quiz: Communication Templates, Document Review, Stakeholder Mapping, and Multilingual Collaboration with Generative AI•10分钟
Practice Quiz: Systems Testing and Deployment with Generative AI•10分钟
Practice Quiz: Security Compliance, Performance, and Scalability with Generative AI•10分钟
Graded Quiz: Analysis, Testing, and Compliance with Generative AI •21分钟
10个插件•总计151分钟
Reading: AI-Generated Communication Plans and Multilingual Collaboration•10分钟
Lab: Communication Templates, Document Review, Stakeholder Mapping, and Multilingual Collaboration with Generative AI•30分钟
Podcast: Streamline Communication and Collaboration with Generative AI?•15分钟
Reading: AI-Driven Test Automation and Deployment Documentation•6分钟
Lab: Systems Testing and Deployment with Generative AI•30分钟
Podcast: Revolutionizing Systems Testing and Deployment with Generative AI•15分钟
Reading: AI-Driven Security, Performance, and Scalability Analysis•7分钟
Lab: Security Compliance, Performance, and Scalability Analysis with Generative AI•30分钟
Podcast: Strengthening Systems with Generative AI for Security, Performance, and Scalability•5分钟
Podcast: Summary and Highlights: Analysis, Testing, and Compliance with Generative AI•3分钟
Final Project, Final Exam and Wrap-Up
第 4 单元•小时 后完成
单元详情
In this final module, you will apply your learning through a final project where you will simulate a professional consulting engagement for an online bank that is preparing to launch a digital loan pre-approval and onboarding system. Using generative AI tools such as ChatGPT, Claude, or Copilot, you will plan, model, and document the solution. The goal is to apply what you have learned about AI-assisted business analysis and systems design to produce a set of high-quality artifacts. The module includes a course glossary to reinforce key terminology and concepts. You will also attempt a final quiz to assess your overall mastery of the concepts you’ve learned in this course. The course concludes with a wrap-up that summarizes key takeaways and guides you on how to apply your learning further in systems analysis.
涵盖的内容
2篇阅读材料1个作业1个应用程序项目4个插件
显示有关单元内容的信息
2篇阅读材料•总计3分钟
Congratulations and Next Steps•2分钟
Team and Acknowledgments•1分钟
1个作业•总计45分钟
Final Exam: Generative AI: Advancing Systems Analysis & Architecture•45分钟
1个应用程序项目•总计15分钟
Final Project: Submission and Evaluation•15分钟
4个插件•总计101分钟
Reading: Final Project Overview•2分钟
Final Project: Comprehensive AI-Enhanced Business Analysis Portfolio•90分钟
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