AI Business Analyst Course & Curriculum

NCPL's hands-on AI Business Analyst training — full curriculum, real projects, certification prep, and job placement support. We train, mentor and place you.

Module 1: Business Analysis Foundations

Master core BA competencies, BABOK framework, and stakeholder management

  • BABOK v3 framework and knowledge areas
  • Requirements elicitation and analysis
  • Stakeholder identification and engagement
  • User stories, use cases, and acceptance criteria
  • Process modeling (BPMN, UML)
  • Agile, Scrum, and SAFe methodologies
  • Tools: Jira, Confluence, Lucidchart, Visio

Module 2: Data & Analytics for BAs

SQL, data modeling, and visualization for data-driven decisions

  • SQL fundamentals to advanced queries
  • Data wrangling with Excel and Python (Pandas)
  • Statistical analysis and hypothesis testing
  • Power BI and Tableau dashboards
  • KPI definition and metric design
  • A/B testing and experimentation
  • Data storytelling for executives

Module 3: AI, ML & GenAI for Business Analysis

Apply AI, LLMs, and predictive analytics to business problems

  • AI/ML fundamentals for non-engineers
  • Identifying AI use cases and ROI estimation
  • Prompt engineering with ChatGPT, Claude, Gemini
  • Building requirements with GenAI assistants
  • Predictive analytics and forecasting
  • NLP for customer feedback and ticket analysis
  • AI-powered process automation (RPA + AI)
  • Responsible AI, bias, and governance

Module 4: AI Product & Solution Delivery

End-to-end delivery of AI-enabled business solutions

  • AI project lifecycle and team structures
  • Writing PRDs for AI/ML features
  • Working with data scientists and ML engineers
  • MLOps awareness for BAs
  • Change management for AI adoption
  • Capstone: AI-driven business case + solution design
  • Resume, portfolio, and interview preparation