Which AI course is right for you?
Both programs build AI fluency for BAs — here's how to tell where you are today.
Agentic AI for Business Analysts
For BAs ready to design and govern autonomous AI agents and workflows. Duration21 hrs (6 live + 15 office hrs) FocusAgent architecture, orchestration, governance Best forBAs building agentic workflows Price USD 799 USD 699Generative AI for Business Analysts
For BAs starting out with AI-assisted requirements and documentation. Duration18 hrs (3 live + 15 office hrs)FocusPrompting, AI-assisted elicitation & docs Best forBAs new to working with AI tools PriceUSD 199 → USD 99 (50% off after buying Agentic AI)AI agents don't just answer questions — they take action.
AI is evolving from simple assistants to autonomous agents that can reason, plan, act, and collaborate—transforming how BAs analyze requirements, design solutions, automate workflows, and make decisions.
Through practical BA use cases and exercises, you’ll apply Agentic AI to elicitation, process analysis, user stories, stakeholder collaboration, and workflow automation, while addressing governance, risk, and human oversight.
By the end of this course, you'll become an AI-Native Business Analyst ready to design agentic workflows and confidently collaborate with AI.
AI POWERED BA SKILLS
Elicit, Analyze and Deliver with AI
21 hrs
Live + office hours
30
IIBA PD hours / CDUsWhat you'll Learn
Reason about agent architecture
Understand how agents use reasoning, planning, memory, and tools to automate tasks.
Design agentic workflows
Decompose business processes, orchestrate agents, and build human-in-the-loop patterns.
Evaluate AI platforms
Explore enterprise Agentic AI platforms, no-code/low-code builders, and RAG architectures.
Govern AI responsibly
Apply ethics, compliance, privacy, risk management, and explainability practices.
Build a portfolio
Learn how to design real AI artifacts and workflows that prove capability to employers.
Earn a certificate
Complete the course with a certificate from Adaptive US + 30 IIBA PD hours.
Is this course right for you?
Working knowledge of BA fundamentals, a computer with mic/speaker, and stable internet required.
This is for you if…
- You're a BA, Product Owner/Manager, Requirements Engineer, or Consultant
- You already have BA fundamentals and want to move into AI workflow design
- You want to lead AI governance, risk, and compliance conversations
This is not for you if…
- You're brand new to Business Analysis — start with BA fundamentals first
- You only need light, conversational AI writing help — try Generative AI for BAs
- You can't commit to the 6 live hours plus 15 hours of office hours
Curriculum: what you'll cover
Foundations of Agentic AI
Agent architecture, tool use, memory, planning, multi-agent orchestration, AI economics.
The BA in an agentic world
AI-assisted elicitation, process mapping, user stories, stakeholder communication, business cases.
Designing agentic workflows
Workflow decomposition, prompt engineering, human-in-the-loop design, testing agentic workflows.
Tools and platforms
Copilot Studio, Agentforce, no-code/low-code agents, RAG, vendor due diligence.
Governance, risk and ethics
Bias, fairness, privacy, EU AI Act compliance, incident response, change management.
Becoming AI-native
Your Agentic AI portfolio, 90-day development plan, career pathways for the AI-native BA.
Program syllabus
21 hours total — 6 hours live core sessions + 15 hours of fortnightly office hours
Foundations of Agentic AI
- Evolution of AI
- What Makes AI "Agentic"
- How Large Language Models Work
- The Agent Architecture: Perception, Reasoning, Action
- Tool Use, Memory, and Planning in AI Agents
- Multi-Agent Systems and Orchestration
- Agentic AI Risks: Hallucination, Scope Creep, and Control
- A Day in the Life: Agentic AI in the BA's Workflow
- Understanding AI Model Benchmarks and What They Mean for BAs
- The Economics of Agentic AI: Tokens, Latency, and Cost Management
- Agentic AI Across Industries: What BAs Need to Know
The Business Analyst in an Agentic World
- How Agentic AI Changes the BA Role
- Requirements Elicitation with AI Assistance
- Process Mapping and Gap Analysis for Agentic Workflows
- User Stories and Acceptance Criteria for AI Agents
- Data Analysis Workflows for Business Analysts
- Stakeholder Communication in the Age of Agents
- Writing Agentic AI Business Cases
- Agentic AI in Agile BA Practice
- Agentic AI for Business Process Management
- Measuring the Value of Agentic BA Work
- Running Effective AI Requirements Workshops
- Facilitating AI Adoption in Resistant Organisations
Designing Agentic Workflows
- Workflow Decomposition for AI Agents
- Prompt Engineering for Business Contexts
- The Human-in-the-Loop Design Pattern
- Error Handling, Fallback Logic, and Escalation
- Evaluating and Testing Agentic Workflows
- Agentic Workflow Patterns: A BA Reference Library
- Specifying Multi-Agent Orchestration
- Quality Assurance for Agentic Systems: A BA Guide
- Agentic AI Pilot Design
- Agentic AI for Internal BA Productivity
Agentic AI Tools and Platforms
- The Current Agentic Tooling Landscape
- Copilot Studio, Agentforce, and Enterprise Platforms
- Building No-Code and Low-Code Agents
- Retrieval-Augmented Generation (RAG) for Business Analysts
- Integrating Agents into Existing Enterprise Systems
- Evaluating AI Vendors: A BA's Due Diligence Framework
- Building and Maintaining the Agentic Knowledge Base
- The Build vs. Buy vs. Configure Decision
- AI-Assisted BA Tools: A Practitioner's Guide
- Practical Integration Patterns: Reference Architectures for BAs
Governance, Risk, and Ethics for BAs
- The BA as AI Governance Steward
- Bias, Fairness, and Explainability
- Data Privacy and Security in Agentic Systems
- Regulatory Compliance: EU AI Act and Beyond
- Writing AI Governance Requirements
- Incident Response for Agentic AI Systems
- Change Management for Agentic AI Deployment
- Responsible AI in Practice: Case Studies for BAs
- Sustainable AI: Environmental and Social Considerations
- AI Procurement: What BAs Need to Evaluate
Becoming an AI-Native Business Analyst
- The AI-Native BA Skill Set
- Building Your Agentic AI Portfolio
- Leading AI Discovery Workshops
- Your 90-Day Agentic AI Development Plan
- The Future of Business Analysis
- The BA's Contribution to AI Ethics in Practice
- Career Pathways for the AI-Native BA
- Building an AI-Native BA Practice in Your Organisation
- Reflections: The BA as a Force for Good in the AI Era
Concept clarification with faculty
Trainer
LN Mishra
CBAP | CCBA | ECBA | CBDA | AAC | CPOA | CCA | CPRE-FL
Mentor to 2500+ IIBA Certified Business Analysts. 30+ years of BA experience.
LN Mishra Pricing
Agentic AI for Business Analysts
- 30 IIBA PD Hours / CDUs
- 6 hours live core sessions
- 15 hours of fortnightly live office hours (12 × 75 min)
- 8+ hours of e-learning videos
- 200+ page study guide
- 180 days access
- Course completion certificate
Exciting Offer
USD 799
USD 699
(USD 100 OFF)
Coupon - WOW100
Upcoming Session:
Dates - Nov 1, 15 | Sun | 9 AM - 12 PM ET - New York Time
+ Get 50% OFF on Generative AI for Business Analysts Live Course - Grab $199 Course at Just $99!
Yes — the course carries 30 IIBA PD Hours/CDUs, which can be applied toward CCBA or CBAP recertification per IIBA's eligibility criteria.
You also get 15 hours of fortnightly live office hours (12 sessions of 75 minutes each) for faculty support, 8+ hours of e-learning videos, and a 200+ page study guide.
After purchasing the Agentic AI course, email us at cs@adaptiveus.com and we'll send you a coupon for 50% off on the Generative AI for Business Analysts course (USD 199 → USD 99).
No prior AI experience is required — but working knowledge of BA fundamentals is expected. If you're brand new to Business Analysis, start with a foundational BA program first.
No. This is a Business Analyst-focused course. You will not learn get into the programming of Agentic AIs. The focus is on understanding Agentic AI from a BA perspective and applying BA practices to AI-agent initiatives.
No. The course does not involve building or deploying a production-ready AI agent. Instead, you will learn how to analyze the business need, elicit requirements, design agentic workflows, define agent behavior, and specify human-agent interactions.
You will learn how to identify where agents can create business value, define what an agent needs to accomplish, map its workflows, establish rules and boundaries, handle exceptions, and determine when human intervention is required.
You will be better equipped to identify, analyze, define, and shape Agentic AI solutions from a business perspective and collaborate effectively with product, technology, data, and AI teams.
Yes. The goal is to build future-ready BA skills that can be applied as organizations increasingly explore AI-powered and agentic workflows.
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