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There are 4 modules in this course
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.
What's included
5 videos1 reading3 assignments8 plugins
Show info about module content
5 videos•Total 24 minutes
Course Introduction•4 minutes
Prompt Engineering Basics and Requirement Gathering•5 minutes
Designing Smart Stakeholder Interviews•5 minutes
Using Generative AI to Simulate Stakeholder Interviews•5 minutes
Using Generative AI to Generate Requirement Specs•5 minutes
1 reading•Total 5 minutes
Course Overview•5 minutes
3 assignments•Total 37 minutes
Practice Quiz: Prompt Engineering & Requirement Gathering•10 minutes
Practice Quiz: Simulating Interviews and Drafting Specifications with Generative AI•6 minutes
Graded Quiz: Generative AI Foundations for Requirements Engineering•21 minutes
8 plugins•Total 105 minutes
Reading: How to Make the Most of this Course•2 minutes
Podcast: How Generative AI can improve Analysis and Architecture•3 minutes
Reading: Generating AI-Driven Templates and Artifacts•7 minutes
Lab: Prompt Engineering, Stakeholder Interviews, and Simulation•30 minutes
Podcast: Harnessing Generative AI for Prompt Engineering•5 minutes
Podcast: Generative AI for Stakeholder Interviews and Specifications•15 minutes
Lab: Generating BRDs, FRDs, SRS, User Manuals and Stakeholder Interview simulation•40 minutes
Podcast: Summary and Highlights: Generative AI Foundations for Requirements Engineering•3 minutes
Process Modeling, Architecture, and Documentation with Generative AI
Module 2•3 hours to complete
Module details
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.
What's included
6 videos4 assignments9 plugins
Show info about module content
6 videos•Total 31 minutes
Generating BPMN Diagrams from Text Prompts Using Generative AI•6 minutes
Auto-Creating Process Flowcharts and Customer Journey Maps Using Generative AI•4 minutes
Designing System Architecture•5 minutes
Converting Process Notes into Structured Diagrams Using Generative AI•5 minutes
Using Generative AI to Critique Existing Workflows•5 minutes
Generating Summaries, Dashboards, and Visual Insights Using Generative AI•6 minutes
4 assignments•Total 39 minutes
Practice Quiz: Auto-Generating BPMN and Process Flow Diagrams•6 minutes
Practice Quiz: Workflow Review and Business Rules Documentation•6 minutes
Practice Quiz: Visual Reporting and Data Representation with Generative AI•6 minutes
Graded Quiz: Process Modeling, Architecture, and Documentation with Generative AI•21 minutes
9 plugins•Total 125 minutes
Reading: Generating a BPMN Process Model from an Email Thread or Meeting Summary•7 minutes
Podcast: Streamline Process and Architecture Design with Gen AI•15 minutes
Lab: Generating BPMN, Process Flowcharts, Customer Journey Maps, and System Architecture Diagrams with Generative AI•30 minutes
Reading: Creating Business Rules Documentation with Generative AI•6 minutes
Podcast: How Can I Enhance Workflow Analysis and Business Rules Documentation with Generative AI?•2 minutes
Lab: Workflow Critique and Business Rules Documentation with Generative AI•30 minutes
Podcast: How Can I Transform Data into Insights with Generative AI for Visual Reporting?•2 minutes
Lab: Using Generative AI with Excel, SQL, Power BI, and Tableau•30 minutes
Podcast: Summary and Highlights: Process Modeling, Architecture, and Documentation with Generative AI•3 minutes
Analysis, Testing, and Compliance with Generative AI
Module 3•4 hours to complete
Module details
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.
What's included
6 videos4 assignments10 plugins
Show info about module content
6 videos•Total 33 minutes
Using Generative AI for Document Review and Communication Templates•5 minutes
Auto-Translating Documents and Stakeholder Mapping with Generative AI•5 minutes
Generating Test Cases and Scenarios Using Generative AI•5 minutes
Simulating System Deployment and Validation with Generative AI•6 minutes
Ensuring Security Compliance with Generative AI•7 minutes
Optimizing Performance and Scalability Using Generative AI•5 minutes
4 assignments•Total 51 minutes
Practice Quiz: Communication Templates, Document Review, Stakeholder Mapping, and Multilingual Collaboration with Generative AI•10 minutes
Practice Quiz: Systems Testing and Deployment with Generative AI•10 minutes
Practice Quiz: Security Compliance, Performance, and Scalability with Generative AI•10 minutes
Graded Quiz: Analysis, Testing, and Compliance with Generative AI •21 minutes
10 plugins•Total 151 minutes
Reading: AI-Generated Communication Plans and Multilingual Collaboration•10 minutes
Lab: Communication Templates, Document Review, Stakeholder Mapping, and Multilingual Collaboration with Generative AI•30 minutes
Podcast: Streamline Communication and Collaboration with Generative AI?•15 minutes
Reading: AI-Driven Test Automation and Deployment Documentation•6 minutes
Lab: Systems Testing and Deployment with Generative AI•30 minutes
Podcast: Revolutionizing Systems Testing and Deployment with Generative AI•15 minutes
Reading: AI-Driven Security, Performance, and Scalability Analysis•7 minutes
Lab: Security Compliance, Performance, and Scalability Analysis with Generative AI•30 minutes
Podcast: Strengthening Systems with Generative AI for Security, Performance, and Scalability•5 minutes
Podcast: Summary and Highlights: Analysis, Testing, and Compliance with Generative AI•3 minutes
Final Project, Final Exam and Wrap-Up
Module 4•3 hours to complete
Module details
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.
What's included
2 readings1 assignment1 app item4 plugins
Show info about module content
2 readings•Total 3 minutes
Congratulations and Next Steps•2 minutes
Team and Acknowledgments•1 minute
1 assignment•Total 45 minutes
Final Exam: Generative AI: Advancing Systems Analysis & Architecture•45 minutes
1 app item•Total 15 minutes
Final Project: Submission and Evaluation•15 minutes
4 plugins•Total 101 minutes
Reading: Final Project Overview•2 minutes
Final Project: Comprehensive AI-Enhanced Business Analysis Portfolio•90 minutes
Reading: Course Glossary•6 minutes
Podcast: Course Wrap-Up•3 minutes
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