Learning Objectives:
- Understand Generative AI
- Understand relevance of AI in Business Analysis
- Explore the integration of AI with BABOK knowledge areas
- Map AI capabilities to BA core concepts (BACCM)
Generative AI for Business Analyst
The Gen AI for Business Analysts course is designed to help Business Analysis professionals leverage Generative AI throughout the entire Business Analysis lifecycle. This hands-on program teaches participants how to use AI for planning, stakeholder collaboration, requirements gat...
- 16 hr
- Rated 4.8 / 5
Overview
The Gen AI for Business Analysts course is designed to help Business Analysis professionals leverage Generative AI throughout the entire Business Analysis lifecycle. This hands-on program teaches participants how to use AI for planning, stakeholder collaboration, requirements gathering, strategy analysis, solution evaluation, documentation, reporting, and decision-making. Aligned with BABOK® knowledge areas, the course combines practical use cases, AI-powered frameworks, real-world projects, and advanced AI tools to help business analysts improve productivity, accuracy, and business outcomes.
Prerequisites
- Strong communication and analytical skills are essential.
- Familiarity with Business Analysis frameworks is recommended.
- Basic understanding of project management concepts is beneficial.
- Knowledge of BABOK-aligned practices is a plus.
- Experience with BA tools, documentation, and visualization is helpful.
- Fundamental knowledge of AI concepts will enhance your learning.
- Prior experience in Business Analysis is helpful, but not mandatory.
- A keen interest in AI-driven business optimization is encouraged.
Key Features
Learn with 16 Hours of Live AI Expert-Led Training
Engage in 27+ Hands-On Exercises with AI Tools
Work on 4 Live Real-World Projects
Learn by Doing and Work with 18 Advanced AI Tools
Learn to Utilize 200+ Ready-to-Use AI Prompts
Course and Training Mapped to BABOK® Knowledge Areas
Learn with Practical Use Cases for Business Analysis
Curriculum
1. Introduction to Generative AI in Business Analysis
Learning Objectives:
Topics:
- Overview of Generative AI (LLMs, transformers, and prompting)
- AI alignment with BACCM and BABOK
- Introduction to foundational tools for BA tasks
2. Business Analysis Planning and Monitoring with AI
Learning Objectives:
Learning Objectives:
- Crafting Effective Prompts
- Frameworks for Prompt Formulation and Strategies
- Stakeholder Interviews Plan BA approaches and governance using AI tools
- Develop performance improvement strategies with AI insights
- Perform external market analysis using AI
Topics:
- Prompt Engineering
- AI for planning BA approaches
- Governance and information management strategies
- Performance metrics and stakeholder collaboration with AI
3. Elicitation and Collaboration with Generative AI
Learning Objectives:
Learning Objectives:
- Criteria for Good Prompts: Relevance, Accuracy, Completeness, and Iterative Improvement
- Prepare, conduct, and confirm elicitation activities with AI
- Enhance collaboration and communication with stakeholders
- Use AI to manage feedback loops effectively
Topics:
- Prompt Evaluation
- AI for elicitation preparation and stakeholder communication
- AI-driven brainstorming and feedback management
4. Requirements Life Cycle Management with AI
Learning Objectives:
Learning Objectives:
- Ensure traceability and maintain requirements using AI
- Manage changes to requirements with AI-driven insights
- Prioritize requirements effectively using AI tools
Topics:
- AI for traceability, prioritization, and maintaining requirements
- Change impact analysis with AI
5. Strategy Analysis with Generative AI
Learning Objectives:
Learning Objectives:
- Perform current and future state analysis using AI
- Develop and evaluate change strategies with AI
- Assess risks and opportunities for business solutions
Topics:
- Current and future state modelling with AI
- AI-driven change strategy and risk analysis
6. Requirements Analysis and Design Definition (RADD)
Learning Objectives:
Learning Objectives:
- Verify, validate, and analyze requirements with AI
- Design requirement architectures using AI insights
- Analyze potential value and recommend solutions
Topics:
- AI-powered verification and validation of requirements
- Designing architecture and value analysis with AI
7. Solution Evaluation with Generative AI
Learning Objectives:
Learning Objectives:
- Evaluate solutions using AI-driven performance metrics
- Identify solution limitations and suggest improvements
- Enhance solution value using AI analytics
Topics:
- Solution performance metrics and value realization
- Limitations analysis and solution optimization with AI
8. AI-Driven Monitoring and Metrics
Learning Objectives:
Learning Objectives:
- Monitor project performance metrics with AI
- Leverage AI for real-time decision-making
- Create AI-powered reports for project stakeholders
Topics:
- AI analytics for monitoring KPIs
- Real-time project tracking and reporting
9. Techniques and Competencies for Business Analysts
Learning Objectives:
Learning Objectives:
- Apply advanced BA techniques like decision modelling and prototyping
- Enhance communication and analytical thinking skills with AI
- Strengthen stakeholder management strategies with AI tools
- Business acceptance testing
Topics:
- Prototyping, decision modeling, and SWOT analysis with AI
- Analytical thinking and communication skills enhancement
- Product Business acceptance test cases
Who Can Do
FAQ
1. What is the Gen AI for Business Analysts course?
This course helps Business Analysts use Generative AI to improve requirements gathering, stakeholder collaboration, documentation, solution evaluation, strategy analysis, and business decision-making.
2. Who should enroll in this course?
The course is ideal for Business Analysts, Data Analysts, Product Owners, Project Managers, Business Consultants, and BA Leaders looking to enhance their skills with AI.
3. Do I need prior AI experience?
No. A basic understanding of AI concepts is helpful, but the course is designed to guide learners through practical AI applications in Business Analysis.
4. How long is the course?
The course includes 16 hours of live instructor-led training.
5. What AI tools will I learn?
You will gain hands-on experience with 18+ AI tools, including tools such as Chat GPT, Claude, Mural, Napkin, Mind Meister, and others used in modern Business Analysis workflows.
6. How many projects and exercises are included?
The course includes:
- 27+ Hands-On Exercises
- 4 Real-World Projects
- 200+ Ready-to-Use AI Prompts
7. Is this course aligned with BABOK®?
Yes. The curriculum is mapped to BABOK® Knowledge Areas and demonstrates how AI can be applied across the Business Analysis lifecycle.
8. What practical skills will I gain?
You will learn to:
- Automate documentation and reporting
- Improve stakeholder collaboration
- Analyze and prioritize requirements
- Perform strategy analysis
- Evaluate business solutions
- Create AI-powered reports and dashboards
- Improve productivity using AI-driven workflows
9. Will I work on real-world business scenarios?
Yes. The course includes practical use cases, projects, exercises, and hands-on activities based on real Business Analysis challenges.
10. How will this course benefit my career?
This course helps Business Analysis professionals stay competitive by learning how to integrate AI into BA processes, improve efficiency, make better decisions, and deliver higher business value.
11. Is prior Business Analysis experience required?
No. Prior BA experience is helpful but not mandatory. Professionals with analytical and problem-solving skills can also benefit from the course.
12. Will I receive a certificate after completion?
Yes, participants will receive a course completion certificate after successfully completing the training requirements.
