Unleashing AI for Business Analysis: Mastering Practical Applications for Success Course (Bluegrass)

Course Description:

This course is designed to teach participants how to effectively use AI and ChatGPT 4 in the context of business analysis, focusing on eliciting, modeling, and analyzing requirements. It integrates key concepts from Natural Language Processing, Data Mining, Machine Learning, and Sentiment Analysis to enhance the requirements engineering process. Participants will also learn about automated documentation techniques to streamline their workflows.

Learning Outcomes:

Participants will learn to:

• Efficiently use AI and ChatGPT 4 for eliciting business requirements from stakeholders and the ability to use other AI NLPs

• Apply NLP and ML techniques to model and analyze requirements

• Leverage Sentiment Analysis for understanding stakeholder feedback

• Automate the documentation process for requirements engineering

Target Audience:

• Business Analysts

• Requirements Engineers

• Project Managers

• IT Consultants

• Product Managers

Prerequisites:

• Understanding of business analysis and requirements engineering

• Understanding common business analysis techniques (use case modeling, stakeholder analysis, functional decomposition, and others)

• Understanding Agile principals and artifacts (epics, user stories, acceptance criteria)

• Familiarity with software development processes (SDLC)

• Access to ChatGPT version 4. ChatGPT version 3.5 will have less functionality

• You will need to download examples and data files to your local system.

• You will need to upload case study data to ChatGPT via a prompt

• Number of prompts limits may apply

Course Duration:

3 Days

Course Contents:

Module 1: Introduction to ChatGPT 4 and Requirements Engineering

• Overview of ChatGPT 4 capabilities

• Understanding the components of AI

• The Role of AI and ChatGPT in requirements elicitation, modeling, and analyzing

• Setting up your environment - tools, security and privacy

Module 2: Fundamentals of Natural Language Processing (NLP)

• Introduction to NLP and its relevance to requirements engineering

• Key NLP techniques and their applications as part of ChatGPT and AI

• AI integration into Business Analysis - requirements elicitation, requirements modeling, solution design, market analysis, customer analysis, and more

Module 3: Eliciting Requirements with ChatGPT 4

• Strategies for using AI and ChatGPT 4 to gather requirements from stakeholders

• Designing prompts, MEGA prompts, and prompt chaining

• ChatGPT acting like an expert

• Using AI and ChaptGPT for creating diagram prompts, diagrams, and visuals

Module 4: Modeling Requirements with ChatGPT 4

• Define and create epics for Agile

• Define and create user stories

• Creating acceptance criteria for user stories - Given, When, Then

• Creating a Use Case Model

• Creating a context diagram - stakeholders, capabilities, data flows

• Creating a functional decomposition diagram - capabilities, features, functions, functional, non-functional

• Creating a stakeholder analysis utilizing the Salience model

• Create concept mapping for products

• Identifying and Creating Personas - customer and market segments

• Create a customer journey map

• Modifying a customer journey map

• Creating process flows

• Modifying process flows

• Decision making - creating decision trees, pros and cons, acting as a sparring partner, implications of making a decision, elaborating consequences for a decision

• Writing waterfall requirements - establishing scope, stakeholders, planning, elicitation sessions, document analysis, documenting requirements, prioritizing requirements, validate requirements, refine and finalize requirements

Module 5: Advanced NLP for Requirements Analysis

• Sentiment Analysis to gauge stakeholder preferences and concerns

• Entity Recognition and Relationship Extraction in requirements documents

Module 6: Introduction to Machine Learning and Data Mining in Requirements Engineering

• Basics of ML and Data Mining and their application in analyzing requirements

• Pattern recognition in requirements to identify inconsistencies and dependencies

• Understanding dependencies, summarizing findings, planning validation and clarification with stakeholders

Module 7: Analyzing Requirements with ChatGPT 4

• Advanced techniques for analyzing and prioritizing requirements

• Identifying business value

• Assess implementation complexity

• Determine risk levels

• Stakeholder interest analysis

• Cost benefit analysis

• MoSCoW prioritization method

• Kano Model Analysis

• Generating insights and actionable items from data

Module 8: Documentation of Requirements

• Techniques for automated generation of requirements documents

• Using ChatGPT 4 to create, update, and maintain requirement specifications

• Best practices for automated documentation

Module 9: Sentiment Analysis in Stakeholder Feedback

• Leveraging sentiment analysis to understand stakeholder feedback

• Customer and focus group sentiment analysis

• Market analysis and customer trends