India’s #1 AI Product Owner & BA Program with Generative AI
Master Business Analysis with an Agentic AI edge. Build enterprise PRDs, orchestrate RAG pipelines, and lead high-scale AI products with 1-on-1 industry mentorship.

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Cohort Details for AI Product Owner & BA Programs
The SkillMove Way of Learning
Glance through what mastering AI Product Ownership & Business Analysis in our live executive program truly feels like.
1. 1-on-1 Executive Mentoring
2. 100% Career & Placement Assistance
3. Live Project-Based Simulations
4. SkillMove & Lnteks Alumni Network
Built For Professionals Ready To Lead AI Products
Whether you are pivoting from traditional analysis, scaling your technical depth, or starting fresh, our applied modules bridge your exact career gap.
The Switcher
You are in QA, software development, or operations, wanting to pivot into high-paying AI Product Owner & Solution BA roles.
The Traditional BA
You have the BA title but write static docs. You want to command LLM architectures, RAG pipelines, and multi-agent systems.
The Product Leader
You already manage standard products and want to lead enterprise AI initiatives, multi-agent frameworks, and vector DB roadmaps.
The Fast-Tracker
You want to skip entry-level non-technical roles by showcasing 16 real-world product artifacts and AI build experience directly.
Pick A Career Path That Fits You
Select a specialized track tailored to your current background and immediate career advancement goals.
Executive AI Product Owner Track
Master GenAI architectures, RAG orchestration, and multi-agent workflows to build, evaluate, and lead enterprise AI products.
The AI-First Product Owner & BA Curriculum
Before building AI tools, understand how business value is engineered. Decode traditional requirement writing and reframe it into AI product strategy.
- Role evolution: Traditional Requirement Writer vs. AI Product Owner
- Software Development Lifecycles (SDLC) & Agile product thinking
- Distinguishing AI opportunities vs. traditional deterministic software needs
- Stakeholder matrix, RACI modeling & structured problem framing
- Formulate a real enterprise business problem framing brief
- Map complete stakeholder alignment blueprints in Miro
- Execute an AI opportunity feasibility matrix
Move past generic requirements. Learn to author enterprise-grade BRDs, FRDs, and SRS documents accelerated with generative AI prompting.
- Requirement elicitation workshops and interview techniques
- Writing enterprise-grade BRD, FRD, and SRS packages
- AI-assisted requirement drafting and automated edge-case discovery
- Traceability matrix (RTM) and change control protocols
- Draft a complete 15-page enterprise BRD & FRD for a banking system
- Use Claude 3.5 to generate edge cases and non-functional requirements
Command sprint execution. Structure agile ceremonies, backlog grooming, and write precise Gherkin/BDD user stories for cross-functional engineering pods.
- Scrum ceremonies, sprint planning, and backlog refinement
- Authoring User Stories with BDD/Gherkin acceptance criteria
- Prioritization frameworks: MoSCoW, RICE, WSJF
- Defining MVP scope and release roadmaps
- Build an active Jira Scrum board with epics, sprints, and story points
- Run a live sprint prioritization workshop using RICE scoring
Translate requirements into visual workflows. Model complex BPMN 2.0 architectures and prototype user journeys in Figma.
- BPMN 2.0 process mapping and workflow automation
- UML diagrams: Use Case, Activity, and Sequence diagrams
- Wireframing, persona creation, and AI user experience design
- Design interactive UI wireframes for an AI app in Figma
- Draft end-to-end BPMN 2.0 loan disbursement workflows
Go beyond prompt engineering. Master enterprise Retrieval-Augmented Generation (RAG) and orchestrate autonomous multi-agent systems.
- LLM architectures, embeddings, token economics & context windows
- Designing enterprise Retrieval-Augmented Generation (RAG) pipelines
- Multi-Agent orchestration: LangChain, CrewAI & AutoGen frameworks
- AI guardrails, hallucination evaluations & safety benchmarks
- Architect a functional multi-agent customer advisor using CrewAI
- Evaluate RAG response latency, accuracy, and vector chunking trade-offs
Bridge the business-to-engineering gap. Understand vector databases, REST APIs, JSON schemas, and governance to lead technical pods.
- REST APIs, webhooks, and JSON data structures for Product Owners
- Vector database selection (Pinecone, ChromaDB) & data pipelines
- AI cost-modeling, API token budgets & latency trade-offs
- GDPR, HIPAA & enterprise data privacy guardrails
- Test and document live LLM endpoints using Postman & Swagger
- Build an AI token-cost projection matrix for an enterprise client
Build complete tangible proof. Conceive, specify, and deploy an enterprise-ready AI solution from business case to live prototype.
- End-to-end delivery of an enterprise AI application
- Industry tracks: Healthcare AI, BFSI Claims, or CRM Support Agents
- Defining acceptance criteria for LLM output evaluations
- Building executive pitch decks for technical demonstrations
- Deliver a full 16-asset portfolio capstone package
- Conduct a live product demonstration in front of senior mentors
Convert technical knowledge into job offers. Restructure your ATS resume and master case study interviews with hiring managers.
- Rebranding resume and LinkedIn for AI Product Owner & BA roles
- Product case-study interviews & behavioral scenarios
- 1-on-1 mock interviews with senior industry practitioners
- Direct placement referrals across Lnteks' 1,500+ partner network
- Complete 2 live mock interviews with detailed feedback rubrics
- Deploy an ATS-optimized AI Product resume on recruiter platforms
Our Learners Hail From
Leading global organizations trust our applied curriculum to upskill professionals into high-impact AI Product Owners and Technical Business Analysts.
Enterprise Capstone & 16-Deliverable Portfolio
Graduate with a verifiable AI product portfolio and showcase end-to-end deliverables directly to recruiters and hiring panels.
6 Industry Capstone Tracks
Build one complete end-to-end enterprise solution from problem brief and BRD documentation to functional multi-agent workflows.
16 Verifiable Portfolio Artifacts
Production assets you own and present to hiring teams to prove tangible full-lifecycle product execution.
Simulations that get you hired
8 portfolio projects that turn every curriculum module into interview-ready proof of work.
Zero-to-One: The Problem Brief & RACI
StrategyEnterprise Spec: The Full BRD & FRD Suite
DocumentationSprint Command: Jira & User Story Deck
Agile POVisual Systems: BPMN 2.0 & Wireframes
UX & WorkflowsAgentic War Room: RAG & Multi-Agent Pod
GenAI SystemsTechnical Matrix: REST APIs & Vector DBs
Tech ArchitectureThe Capstone Build: Functional AI Agent
Live PrototypeThe Hiring Pitch: Executive PO Portfolio
Placement Proof10X Your Productivity With The Right Tools
Get hands-on with enterprise AI tools and agile platforms product leaders work with everyday.