Generative AI for Business Analysts: Prompt Engineering, RAG

Master AI concepts, foundation models, prompt engineering & automation strategies to 10x your productivity – no coding r

What you’ll learn
✓ Understand fundamental AI concepts and the hierarchy: AI, ML, Deep Learning, and Generative AI to build a strong foundation for professional use.
✓ Master the end-to-end ML workflow from data collection and feature engineering to model training, evaluation, and deployment.
✓ Explore foundation models and GenAI optimization techniques like Prompt Engineering, RAG, and Fine-Tuning for high-quality outputs.
✓ Apply “Automation vs. Augmentation” frameworks to identify high-impact opportunities to collaborate with AI in your workflow.

Requirements
● A solid understanding of the Business Analysis lifecycle, including requirements elicitation and stakeholder management.
● Familiarity with Agile frameworks, specifically working with User Stories, Backlog Refinement, and the INVEST criteria.
● Access to a Large Language Model (e.g., ChatGPT-4, Claude 3.5, or Gemini Pro) to practice prompt engineering and model selection.
● Access to a tool for practicing BPMN 2.0 mapping (e.g., Lucidchart, Visio, or Miro).
● A basic comfort level with identifying business data types for use in few-shot and chain-of-thought prompting.

Description
Are you a Business Analyst, Product Owner, Delivery Lead, or Project Manager who wants to harness the power of Generative AI — without needing to code or become a data scientist?

This practical, beginner-friendly course is built specifically for non-technical professionals who need to work smarter with AI every day. You’ll move from AI curiosity to confident, job-ready application in weeks.

What you’ll learn

• The complete AI hierarchy: AI, Machine Learning, Deep Learning, and Generative AI

• The end-to-end Machine Learning workflow (from data to deployment)

• Foundation models and how they power real business tasks

• Advanced GenAI optimization techniques: Prompt Engineering, Retrieval-Augmented Generation (RAG), and Fine-Tuning

• The powerful “Automation vs Augmentation” framework to identify high-impact opportunities where AI adds the most value

Through clear explanations, real-world business examples, hands-on exercises, and ready-to-use prompt templates, you’ll discover how to generate high-quality user stories, acceptance criteria, process maps, and requirements backlogs in minutes — while critically evaluating AI outputs for accuracy and bias.

You’ll also learn how to re-engineer your daily workflows for maximum efficiency and collaborate effectively with technical teams and AI tools.

Taught by Erick Malebe — Senior Business Analyst & AI Strategist with over 10 years of experience re-engineering complex processes in financial services, insurance, wealth management, and fintech industries. Erick is an AWS Certified AI Practitioner and is currently completing his Master of Technology in Financial Technology.

No prior technical background is required. Just bring your business expertise and a desire to stay ahead in the AI-powered workplace.

By the end of this course, you’ll have the practical skills and strategic mindset to become the go-to AI-savvy professional on your team — delivering faster, higher-quality results every single day.

Who this course is for
■ This course is designed for Business Analysts (BAs), Product Owners (POs), Delivery Leads (DLs), and Project Managers (PMs) who want to work effectively with AI.

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