Udemy - Generative AI for Business Analysts - Prompt Engineering, RAG

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Udemy - Generative AI for Business Analysts - Prompt Engineering, RAG (Size: 2.4 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  1 - Generative AI for Business Analysts
  1. AI for Business Analyst - Introduction.pdf 3.1 MB
  1. Course Introduction.mp4 19.2 MB
  2 - Foundations of AI & Machine Learning
  10. Key Takeaways.mp4 40 MB
  11. Knowledge Check.mp4 43.4 MB
  3 - The New Value Proposition for Business Analysts
  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
  4 - AI Technology Literacy for Business Analysts
  20. AI for Business Analyst - AI Technology Literacy.pdf 18 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 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
  5 - Ethical AI Leadership and Future Readiness
  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
  6 - Change Leadership & Culture Shift
  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 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
  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
  2. Module Overview.mp4 19.3 MB
  3. Why this Course Matters.mp4 39.9 MB
  4. Knowledge Check.mp4 18.6 MB

Description


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.

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