Generative AI course for Business Analyst - Classroom
795,00 EUR
- 16 hours
Step into the future of business analysis with the Generative AI for Business Analysts course. A practical, hands‑on training designed to help analysts leverage Generative AI to transform core responsibilities and boost strategic value. Whether you're a Business Analyst, Project Manager, Product Owner, or Consultant, this course equips you with AI skills that extend traditional analysis, enhance decision‑making, and accelerate career growth.
Key Features
Language
Course material in English
Level
Beginner - intermediate level
16 Hours of Instructor-Led Training
20+ hours recommended study time
27+ Hands-On Exercises with AI Tools
Learn by Doing and Work with 18 Advanced AI Tools
4 Live Real-World Projects
Utilize 200+ Ready-to-Use AI Prompts
Earn 16 PDUs and 16 SEUs
Course Mapped to BABOK® Knowledge Areas
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Program completion certification included
Learning Outcomes
At the end of this program, you will be able to:
Requirement Elicitation & Documentation
Use AI tools like GPT, Claude, and Notion AI to automate requirement gathering, refine elicitation, and produce accurate, project-ready documentation.
Stakeholder Communication & Engagement
Leverage AI for personalized communication, meeting summaries, and sentiment analysis to improve collaboration and align stakeholders.
Data Analysis & Reporting
Employ AI-powered analytics tools (Power BI, Tableau, Zoho Analytics) to identify patterns, generate visual reports, and support informed decisions.
Process Modeling & Solution Design
Use AI tools such as Lucidchart AI, Miro AI, and SmartDraw AI to model processes, validate solutions, and simulate scenarios that meet business goals.
Risk Assessment & Mitigation
Automate risk identification, assessment, prioritization, and mitigation recommendations using AI-driven tools.
Documentation & Traceability
Implement AI solutions (Monday.com, ClickUp) to maintain traceability matrices, streamline documentation, and align artifacts with requirements.
Productivity Enhancement
Automate repetitive BA tasks like meeting notes, charters, and performance reports with tools like Otter.ai and ChatGPT for faster turnaround.
Impact Analysis & Decision Support
Leverage AI for advanced impact assessments, scenario evaluation, and providing data-backed strategic recommendations.
Quality Assurance for Requirements
Validate requirements using AI, ensuring alignment with business objectives and delivering high-quality outputs.
Emerging AI Trends
Stay updated on the latest AI innovations in business analysis, Agile, and BI processes, identifying opportunities to integrate AI into workflows.
Course timeline
Introduction to Generative AI in Business Analysis
Lesson 1
- Overview of generative AI concepts (LLMs, transformers, prompting)
- Relevance of AI to business analysis
- Mapping AI capabilities to core BA frameworks like BABOK and BACCM
Business Analysis Planning and Monitoring with AI
Lesson 2
- AI‑assisted planning and prompt engineering strategies
- Using AI for stakeholder engagement and performance improvement insights
- Governance and information management with AI support
Elicitation and Collaboration Enhanced by AI
Lesson 3
- Preparing and conducting elicitation activities using AI
- Improving stakeholder communication and feedback loops
- Evaluating prompts for relevance and accuracy
Requirements Life Cycle Management with AI
Lesson 4
- Maintaining traceability and managing changes with AI
- Prioritizing requirements using AI‑driven insights
- Conducting change impact analysis with AI tools
Strategy Analysis Using Generative AI
Lesson 5
- Current and future state analysis
- AI‑enabled change strategy formulation and risk assessment
- Leveraging AI for opportunity evaluation
Requirements Analysis and Design Definition (RADD)
Lesson 6
- AI‑powered verification, validation, and requirements analysis
- Designing requirement architectures and solution value assessments
Solution Evaluation with AI
Lesson 7
- Using AI for performance metric evaluation
- Identifying solution limitations and optimizing value delivery
AI‑Driven Monitoring and Metrics
Lesson 8
- Real‑time project performance tracking with AI analytics
- Creating dashboards and reports for stakeholders with AI support
Techniques and Competencies for Business Analysts
Lesson 9
- Advanced BA techniques like decision modeling and prototyping enhanced with AI
- Strengthening analytical thinking, communication, and stakeholder management
Future Trends and AI Perspectives
Lesson 10
- Emerging AI trends in business analysis
- AI’s role in Agile and business intelligence contexts
- Opportunities for future AI integration in BA workflows
Who Should Enroll in this Program?
Business Analysts looking to automate tasks
Product Owners / Product Managers
Data Analysts & BI Professionals interested in applying AI to reporting
Project Managers who want to optimize productivity
Agile Practitioners aiming to integrate AI into Agile workflows
Professionals curious about emerging AI trends
Prerequisites
- Excellent communication and analytical abilities are important.
- Understanding of Business Analysis frameworks is recommended.
- Basic knowledge of project management concepts is advantageous.
- Familiarity with BABOK-aligned practices is a plus.
- Experience using BA tools, documentation, and visualization aids learning.
- A foundational understanding of AI concepts will enhance your experience.
- Prior experience in Business Analysis is helpful but not required.
- A strong interest in leveraging AI for business optimization is encouraged.
Statements
Licensing and accreditation
The course is offered according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Question
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