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Generative AI for Business Analysts: Prompt Engineering, RAG
https://WebToolTip.com
Published 4/2026
Created by Erick Malebe
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 55 Lectures ( 2h 59m ) | Size: 2.1 GB
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. |
[ WebToolTip.com ] Udemy - Generative AI for Business Analysts - Prompt Engineering, RAG
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1 - Generative AI for Business Analysts
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1. AI for Business Analyst - Introduction.pdf (3.1 MB)
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1. Course Introduction.mp4 (19.2 MB)
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2. Module Overview.mp4 (19.3 MB)
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3. Why this Course Matters.mp4 (39.9 MB)
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4. Knowledge Check.mp4 (18.6 MB)
2 - Foundations of AI & Machine Learning
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10. Key Takeaways.mp4 (40.0 MB)
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11. Knowledge Check.mp4 (43.4 MB)
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5. AI for Business Analyst - AI and ML Foundations.pdf (9.9 MB)
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5. Module Overview.mp4 (8.6 MB)
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6. AI vs ML vs Deep Learning vs GenAI.mp4 (31.4 MB)
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7. How ML Works (Data & Workflow).mp4 (62.2 MB)
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8. Deep Learning, Foundational Models & GenAI Workflow.mp4 (45.4 MB)
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9. GenAI Optimization Prompt vs Fine-tuning vs RAG.mp4 (35.1 MB)
3 - The New Value Proposition for Business Analysts
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12. AI for Business Analyst - The New Value Proposition.pdf (16.6 MB)
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12. Module Introduction.mp4 (14.4 MB)
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13. Automation vs Augmentation.mp4 (111.8 MB)
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14. Human-in-the-Loop Explained.mp4 (36.4 MB)
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15. AI Decision Making Scorecard.xlsx (5.8 KB)
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15. Decision Quality & AI Accountability.mp4 (107.3 MB)
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16. AI Chatbot & Finance Services.mp4 (88.2 MB)
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16. Systems Thinking Framework.xlsx (6.2 KB)
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17. Key Takeaways.mp4 (23.5 MB)
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18. Knowledge Check.mp4 (14.1 MB)
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19. Knowledge Check Continued.mp4 (18.4 MB)
4 - AI Technology Literacy for Business Analysts
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20. AI for Business Analyst - AI Technology Literacy.pdf (18.0 MB)
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20. Module Overview.mp4 (5.1 MB)
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21. Practical AI Use Across Industries.mp4 (56.8 MB)
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22. Machine Learning in Practice.mp4 (37.4 MB)
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23. Complexity vs Scale Assessment Matrix.docx (7.6 KB)
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23. When to Use Machine Learning.mp4 (93.8 MB)
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24. Knowledge Check ML Decision Logic.mp4 (20.4 MB)
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25. GenAI Risks & Model Selection.mp4 (17.3 MB)
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26. Toxicity, Hallucinations & Non-determinism.mp4 (82.9 MB)
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27. Selecting the Right Model.mp4 (77.6 MB)
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28. ROI & Business Metrics.mp4 (49.0 MB)
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29. Measuring AI Success.mp4 (34.9 MB)
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30. Knowledge Check ROI & Model Concepts.mp4 (23.5 MB)
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31. Prompt Engineering Deep Dive.mp4 (38.9 MB)
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32. Bad Prompts vs Good Prompts.mp4 (104.2 MB)
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32. CASE STUDY 1 - Customer Complaints.xlsx (97.1 KB)
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32. [PROMPT 1]AI_ML Appropriateness Assessment.xlsx (5.6 KB)
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32. [PROMPT 2] AI Model Selection Prompt.xlsx (5.8 KB)
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32. [PROMPT 3] Business-Metric-Use-Case.xlsx (5.5 KB)
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33. Negative Prompt Template.xlsx (5.4 KB)
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33. Negative Prompting & Guardrails.mp4 (55.9 MB)
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34. Advanced Prompting Techniques.mp4 (37.3 MB)
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34. Chain of Thought (CoT) Prompt Template.xlsx (5.5 KB)
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35. Key Takeaways & Final Summary.mp4 (32.2 MB)
5 - Ethical AI Leadership and Future Readiness
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36. AI for Business Analyst - Ethical AI Leadership & Adaptability.pdf (7.3 MB)
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36. Module Introduction.mp4 (11.8 MB)
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37. Learning Outcomes.mp4 (10.5 MB)
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38. The BA's Role Across the AI Lifecycle.mp4 (23.8 MB)
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39. Design & Development Ethics in Practice.mp4 (12.2 MB)
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39. Ethical AI Review Template.xlsx (5.4 KB)
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40. Deployment, Monitoring & Evaluations.mp4 (25.2 MB)
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41. AI Leadership & Strategy.mp4 (29.5 MB)
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42. Ethics, Governance & Data Literacy.mp4 (45.4 MB)
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43. Change Leadership & Organizational Readiness.mp4 (66.9 MB)
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44. Case Study - AI Credit Risk Decisioning.mp4 (54.1 MB)
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45. Knowledge Check - Responsible AI.mp4 (20.5 MB)
6 - Change Leadership & Culture Shift
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46. Capstone Project A_ Financial Services.docx (8.8 KB)
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46. Capstone Project B (Retail)_ Bloom Co.docx (8.6 KB)
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46. Change Leadership Introduction.mp4 (318.5 MB)
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46. Templates and Worksheets (Required to Complete Both Capstones).docx (13.2 KB)
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47. AI for Business Analyst - AI Change Leadership.pdf (6.5 MB)
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47. The 30% vs 70% Rule.mp4 (16.9 MB)
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48. Culture & Human Psychology.mp4 (18.8 MB)
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49. Why People Resist AI.mp4 (8.0 MB)
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50. Awareness & Desire.mp4 (34.1 MB)
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50. End-User_Frontline Stakeholder Interview Template.xlsx (5.5 KB)
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50. Executive_Senior Leadership Interview Template.xlsx (5.5 KB)
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50. General Requirements Elicitation Interview Template.xlsx (5.8 KB)
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51. ADKAR Framework Overview.mp4 (24.5 MB)
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52. Knowledge Ability.mp4 (35.5 MB)
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53. Reinforcement & Sustaining Change.mp4 (65.8 MB)
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54. Knowledge Check.mp4 (18.5 MB)
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55. Responsible AI & Leadership Recap.mp4 (50.4 MB)
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Bonus Resources.txt (0.1 KB)
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