Udemy - Generative AI for Business Analysts - Prompt Engineering, RAG
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size2.4 GB
- Uploaded Byfreecoursewb
- Downloads124
- Last checkedApr. 19th '26
- Date uploadedApr. 18th '26
- Seeders 21
- Leechers9
Infohash : 33C052732D67FF0B70D4BBE1B3F70ED74A7F1198
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.
Files:
[ WebToolTip.com ] Udemy - Generative AI for Business Analysts - Prompt Engineering, RAG- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Generative AI for Business Analysts
- 1. AI for Business Analyst - Introduction.pdf (3.1 MB)
- 1. Course Introduction.mp4 (19.2 MB)
- 2. Module Overview.mp4 (19.3 MB)
- 3. Why this Course Matters.mp4 (39.9 MB)
- 4. Knowledge Check.mp4 (18.6 MB)
- 10. Key Takeaways.mp4 (40.0 MB)
- 11. Knowledge Check.mp4 (43.4 MB)
- 5. AI for Business Analyst - AI and ML Foundations.pdf (9.9 MB)
- 5. Module Overview.mp4 (8.6 MB)
- 6. AI vs ML vs Deep Learning vs GenAI.mp4 (31.4 MB)
- 7. How ML Works (Data & Workflow).mp4 (62.2 MB)
- 8. Deep Learning, Foundational Models & GenAI Workflow.mp4 (45.4 MB)
- 9. GenAI Optimization Prompt vs Fine-tuning vs RAG.mp4 (35.1 MB)
- 12. AI for Business Analyst - The New Value Proposition.pdf (16.6 MB)
- 12. Module Introduction.mp4 (14.4 MB)
- 13. Automation vs Augmentation.mp4 (111.8 MB)
- 14. Human-in-the-Loop Explained.mp4 (36.4 MB)
- 15. AI Decision Making Scorecard.xlsx (5.8 KB)
- 15. Decision Quality & AI Accountability.mp4 (107.3 MB)
- 16. AI Chatbot & Finance Services.mp4 (88.2 MB)
- 16. Systems Thinking Framework.xlsx (6.2 KB)
- 17. Key Takeaways.mp4 (23.5 MB)
- 18. Knowledge Check.mp4 (14.1 MB)
- 19. Knowledge Check Continued.mp4 (18.4 MB)
- 20. AI for Business Analyst - AI Technology Literacy.pdf (18.0 MB)
- 20. Module Overview.mp4 (5.1 MB)
- 21. Practical AI Use Across Industries.mp4 (56.8 MB)
- 22. Machine Learning in Practice.mp4 (37.4 MB)
- 23. Complexity vs Scale Assessment Matrix.docx (7.6 KB)
- 23. When to Use Machine Learning.mp4 (93.8 MB)
- 24. Knowledge Check ML Decision Logic.mp4 (20.4 MB)
- 25. GenAI Risks & Model Selection.mp4 (17.3 MB)
- 26. Toxicity, Hallucinations & Non-determinism.mp4 (82.9 MB)
- 27. Selecting the Right Model.mp4 (77.6 MB)
- 28. ROI & Business Metrics.mp4 (49.0 MB)
- 29. Measuring AI Success.mp4 (34.9 MB)
- 30. Knowledge Check ROI & Model Concepts.mp4 (23.5 MB)
- 31. Prompt Engineering Deep Dive.mp4 (38.9 MB)
- 32. Bad Prompts vs Good Prompts.mp4 (104.2 MB)
- 32. CASE STUDY 1 - Customer Complaints.xlsx (97.1 KB)
- 32. [PROMPT 1]AI_ML Appropriateness Assessment.xlsx (5.6 KB)
- 32. [PROMPT 2] AI Model Selection Prompt.xlsx (5.8 KB)
- 32. [PROMPT 3] Business-Metric-Use-Case.xlsx (5.5 KB)
- 33. Negative Prompt Template.xlsx (5.4 KB)
- 33. Negative Prompting & Guardrails.mp4 (55.9 MB)
- 34. Advanced Prompting Techniques.mp4 (37.3 MB)
- 34. Chain of Thought (CoT) Prompt Template.xlsx (5.5 KB)
- 35. Key Takeaways & Final Summary.mp4 (32.2 MB)
- 36. AI for Business Analyst - Ethical AI Leadership & Adaptability.pdf (7.3 MB)
- 36. Module Introduction.mp4 (11.8 MB)
- 37. Learning Outcomes.mp4 (10.5 MB)
- 38. The BA's Role Across the AI Lifecycle.mp4 (23.8 MB)
- 39. Design & Development Ethics in Practice.mp4 (12.2 MB)
- 39. Ethical AI Review Template.xlsx (5.4 KB)
- 40. Deployment, Monitoring & Evaluations.mp4 (25.2 MB)
- 41. AI Leadership & Strategy.mp4 (29.5 MB)
- 42. Ethics, Governance & Data Literacy.mp4 (45.4 MB)
- 43. Change Leadership & Organizational Readiness.mp4 (66.9 MB)
- 44. Case Study - AI Credit Risk Decisioning.mp4 (54.1 MB)
- 45. Knowledge Check - Responsible AI.mp4 (20.5 MB)
- 46. Capstone Project A_ Financial Services.docx (8.8 KB)
- 46. Capstone Project B (Retail)_ Bloom Co.docx (8.6 KB)
- 46. Change Leadership Introduction.mp4 (318.5 MB)
- 46. Templates and Worksheets (Required to Complete Both Capstones).docx (13.2 KB)
- 47. AI for Business Analyst - AI Change Leadership.pdf (6.5 MB)
- 47. The 30% vs 70% Rule.mp4 (16.9 MB)
- 48. Culture & Human Psychology.mp4 (18.8 MB)
- 49. Why People Resist AI.mp4 (8.0 MB)
- 50. Awareness & Desire.mp4 (34.1 MB)
- 50. End-User_Frontline Stakeholder Interview Template.xlsx (5.5 KB)
- 50. Executive_Senior Leadership Interview Template.xlsx (5.5 KB)
- 50. General Requirements Elicitation Interview Template.xlsx (5.8 KB)
- 51. ADKAR Framework Overview.mp4 (24.5 MB)
- 52. Knowledge Ability.mp4 (35.5 MB)
- 53. Reinforcement & Sustaining Change.mp4 (65.8 MB)
- 54. Knowledge Check.mp4 (18.5 MB)
- 55. Responsible AI & Leadership Recap.mp4 (50.4 MB)
- Bonus Resources.txt (0.1 KB)
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