AI Orchestration & Product Management

AI Impact on BAs, POs and PMs- Orchestration, Workflow Evolution, Prompt-Based Requirements, FinTech Use Cases

New

Created byDharmendra Sharma

Last updated 4/2026

English

What you'll learn

Introduction to AI Orchestrator
AI Transformation taken place for BA, PO and PM roles
AI Workflow Basics
Prompt Based Requirements Demo
Real world FinTech Use Cases

Course content

5 sections • 5 lectures • 1h 6m total length

Introduction to AI Orchestrator9:52
In this lecture, you will learn what an AI Orchestrator is and how it enables multiple AI tools and models to work together in a structured workflow. We will break down how AI orchestration goes beyond using a single tool by connecting different AI capabilities, managing task sequences, and passing context across steps to solve real business problems.
You will also see how this concept applies to the roles of Business Analysts, Product Owners, and Product Managers—helping them automate requirement generation, streamline workflows, and improve decision-making. By the end of this lecture, you will understand how to design simple AI-driven workflows that integrate into the product lifecycle, from discovery to delivery.

AI Impacts on BA, PO and PM Role11:33
In this lecture, we explore how AI is transforming the roles of Business Analysts (BA), Product Owners (PO), and Product Managers (PM), and what it means for your day-to-day work. You will understand how traditional responsibilities—such as requirement gathering, backlog management, stakeholder communication, and decision-making—are evolving with the introduction of AI.
We will cover how AI accelerates analysis, automates documentation, enhances prioritization, and enables faster, data-driven decisions. More importantly, you will learn how to adapt to this shift—by moving from manual execution to AI-assisted orchestration, focusing on problem framing, validation, and strategic thinking.
By the end of this lecture, you will be able to identify where AI fits into your role, redefine your responsibilities, and confidently leverage AI tools to increase productivity, improve output quality, and stay relevant in a rapidly evolving product landscape.

Prompt Based Requirements Demo16:37
In this lecture, you will see a hands-on demonstration of how to use prompt-based techniques to generate product requirements using AI. You will learn how to structure effective prompts to create user stories, acceptance criteria, and detailed requirement documents in seconds.
The session will walk you through real examples, showing how AI can transform raw ideas into well-defined product artefacts, reducing manual effort and improving consistency. You will also understand how to refine prompts, validate AI-generated outputs, and align them with business goals.
By the end of this demo, you will be able to confidently use AI to accelerate requirement creation, enhance clarity, and integrate prompt-driven workflows into your role as a BA, PO, or PM.

Real world FinTech Use Case13:10
In this lecture, you will explore a real-world FinTech use case that demonstrates how AI can be applied across the product lifecycle. You will learn how to identify business problems, design AI-driven workflows, and apply concepts like orchestration, prompt-based requirements, and automation in a practical scenario.
The session walks you through how AI can improve payments, enhance customer experience, reduce fraud risks, and streamline operations. You will also see how BA, PO, and PM roles collaborate with AI to drive faster decision-making and better product outcomes.
By the end of this lecture, you will be able to translate real business challenges into AI-enabled solutions and confidently apply these approaches in FinTech and other product environments.

Requirements

No coding required, You will learn in very simple steps

Description

This course is designed for Business Analysts, Product Owners, and Product Managers who want to practically apply AI in real-world product environments, especially in FinTech. You’ll learn how to move beyond theory and use AI as a hands-on enabler across the product lifecycle.

We begin with the fundamentals of AI orchestration—how multiple AI tools and models can be structured into cohesive workflows. You’ll then explore how AI is reshaping the roles of BA, PO, and PM, enabling faster decision-making, smarter prioritisation, and more efficient delivery.

The course dives into AI workflow basics, helping you understand how to design, connect, and optimise AI-driven processes. A key highlight is prompt-based requirements engineering, where you’ll learn how to generate user stories, acceptance criteria, and product documentation using AI—demonstrated through a practical, step-by-step demo.

Finally, we bring everything together with a FinTech use case, showing how AI can be applied in payments and financial systems to solve real business problems, improve customer experience, and drive innovation.

By the end of this course, you’ll have a clear, actionable framework to integrate AI into your day-to-day product work—boosting productivity, enhancing quality, and staying ahead in the evolving digital landscape. Keep learning and Keep Shining. Thanks-Dharmendra Sharma.

Who this course is for:

Freshers, QA, Inspiring BA, Traditional BA, PO and PM

AI Orchestration & Product Management

What you'll learn

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Course content

Introduction to AI Orchestrator1 lecture • 10min

AI Impact which transforms BA PO PM1 lecture • 12min

AI Workflow Basics1 lecture • 16min

Prompt Based Requirements Demo1 lecture • 17min

Real world FinTech Use Case1 lecture • 13min

Requirements

Description

Who this course is for: