• Comprehensive Curriculum: 10 structured modules covering fundamental and advanced concepts of Generative AI.
• Immersive Learning: Learn, practice, gain insights and apply Gen AI skills to drive change and unlock new possibilities.
• Interactive Experience: Engage with peers and instructors through forums and discussion boards.
• Practical Use Cases: Analyze and learn from real-world case studies and success stories.

Learning Objectives

Requirement Elicitation and..

• Utilize AI tools like GPT-4, Claude, and Notion AI to automate requirement gathering, refine elicitation techniques, and ensure accurate documentation tailored to project needs.

Stakeholder Communication and..

• Leverage AI for personalized communication plans, meeting summaries, and sentiment analysis to foster improved collaboration and stakeholder alignment.

Data Analysis and Advanced Reporting

• Use AI tools such as Power BI, Tableau, and Zoho Analytics to analyze data, identify patterns, and generate insightful visual reports that drive informed decision-making.

Process Modeling and Solution Design

• Apply AI tools like Lucidchart AI, Miro AI, and SmartDraw AI to design process flows, validate solutions, and simulate business scenarios that align with organizational goals.

Risk Assessment and Mitigation..

• Use AI-driven tools for risk identification, assessment, and prioritization, while automating risk register updates and recommending effective mitigation strategies.

Documentation and Traceability

• Implement AI tools such as Monday.com and ClickUp to create traceability matrices, automate documentation workflows, and align project artifacts with requirements.

Business Analysis Productivity

• Automate repetitive tasks, such as creating meeting notes, project charters, and performance reports, using tools like Otter.ai and ChatGPT to enhance efficiency and turnaround time.

Impact Analysis and Decision-Making

• Use AI to perform advanced impact assessments, evaluate project scenarios, and provide data-driven recommendations for strategic decision-making.

Quality Assurance for Requirements

• Apply AI to validate requirements, ensure alignment with business objectives, and maintain high-quality deliverables that meet stakeholder expectations.

Emerging AI Trends

• Explore the latest trends in AI for business analysis, understand its role in Agile and BI processes, and identify opportunities to integrate AI into future workflows.

Prerequisites and Eligibility

• 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.

Who This Course Is For?

• Business Analysts
• Data Analysts
• Project Managers
• Product Owners
• Business Consultants
• BA Managers and Leads

Schedules