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ZOSKILL
AI for Business Analysts & Product Owners
Drive Data-Backed Decisions & Build AI-Augmented Products
Audience: Business Analysts, Product Owners, Product Managers, Functional Consultants
Key Features
- 16 Hours of Expert-Led Live Training by industry practitioners.
- Hands-On Learning with real-time Generative AI tools.
- Practical Frameworks & Templates for AI-driven Agile processes.
- Real-World Case Studies on successful Generative AI adoption in Agile environments.
- Integration Guidance for the latest tools and popular AI platforms.
- Access to AI prompt libraries, checklists, and Agile+AI workflow guides
- Course Completion Certificate from Zoskill validating your expertise
Course Overview
This program equips BAs and Product Owners with hands-on AI skills to improve user research, requirements gathering, prioritization, and stakeholder communication—while building AI-enabled product features and smarter roadmaps.
Learning Objectives
By the end of this course, you will be able to:
- Understand the AI/ML landscape from a business/product perspective
- Translate business requirements into data-driven features
- Use AI tools for user story mapping, prioritization, and roadmap planning
- Identify AI use cases in your product workflows
- Collaborate effectively with data teams, engineers, and designers on AI-backed solutions
Curriculum Modules
- Overview of AI/ML, NLP, and Generative AI
- What non-technical leaders need to know
- AI adoption trends in business & product management
- Using ChatGPT & AI tools for stakeholder interviews, user persona generation
- Auto-summarization and pattern detection in feedback data
- Extracting functional and non-functional requirements using AI
- Automating user story creation and acceptance criteria
- Story mapping using NLP clustering
- RICE, MoSCoW, and Kano model assisted by AI
- Identifying AI-enhanced features in existing product flows
- Rapid prototyping with AI (Figma AI, Framer, Uizard)
- Understanding customer journeys using predictive insights
- Aligning AI insights to product strategy
- Prioritizing backlog using AI-assisted data scoring
- Competitor analysis using public data and AI scraping tools
- Writing AI feature specs: prompts, datasets, outputs
- Communicating user needs to data scientists and ML engineers
- Tools for bridging the BA–data science gap (Notion AI, Dovetail, Miro AI)
- Fairness, bias, and explainability in AI decisions
- Setting ethical guidelines for product features
- Compliant AI design: privacy, security, and trust
Capstone Project: AI-Augmented Product Case Study
- Define, design, and present an AI-enabled feature
- Stakeholder presentation simulation + feedback from mentors
Assessment & Certification
- Module-level quizzes and reflection assignments
- Peer-reviewed case study
- Certificate of Completion from Company + verified LinkedIn badge
Outcomes
- Module-level quizzes and reflection assignments
- Peer-reviewed case study
- Certificate of Completion from Company + verified LinkedIn badge
4.3
Total 4k Ratings
5 Star
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4 Star
79%
3 Star
67%
2 Star
57%
Frequently Asked Questions
Do I need technical or coding skills to take this course?
No, this course is designed for project managers with no technical background.
How long will it take to complete the course?
The course can be completed in 4–6 weeks at your own pace.
Will I get a certificate?
Yes, you’ll receive a certificate of completion that you can share with employers and on LinkedIn.
Are there real-life examples included?
Absolutely. Each module includes case studies and practical use cases.
Toll Free
+91887898789989
Mail your Quries
Info@zoskill.com