Trust Engineering for AI - Essential Training

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Trust Engineering for AI - Essential Training (Size: 286.6 MB)
  Bonus Resources.txt 102.4 B
  Ex_Files_Excel_PivotTables_Beginners
  Exercise Files
  01_02_Messy_Product_Data_PQ.xlsx 33.9 KB
  01_02_Messy_Product_Data_PQ_Complete.xlsx 51.4 KB
  01_03_Messy_Product_Data_Copilot.xlsx 33.6 KB
  01_03_Messy_Product_Data_Copilot_Complete.xlsx 51.7 KB
  01_04_Challenge_01.xlsx 1.4 MB
  01_05_Challenge_01_Solution.xlsx 1.4 MB
  02_01_Product_Data.xlsx 51.4 KB
  02_01_Product_Data_Complete.xlsx 73.5 KB
  02_02_Pivot_Table_Aggregation.xlsx 75.2 KB
  02_02_Pivot_Table_Aggregation_Complete.xlsx 75 KB
  02_03_Format_Pivot_Table_Values.xlsx 75 KB
  02_03_Format_Pivot_Table_Values_Complete.xlsx 75.2 KB
  02_04_Customise_Pivot_Table_Report_Layout.xlsx 75.2 KB
  02_04_Customise_Pivot_Table_Report_Layout_Complete.xlsx 76.3 KB
  02_05_Add_Slicers_To_Pivot_Table_Data.xlsx 76.2 KB
  02_05_Add_Slicers_To_Pivot_Table_Data_Complete.xlsx 78.6 KB
  02_06_Group_Dates_In_A_Pivot_Table.xlsx 78.6 KB
  02_06_Group_Dates_In_A_Pivot_Table_Complete.xlsx 78.7 KB
  02_07_Refresh_Pivot_Table.xlsx 78.1 KB
  02_07_Refresh_Pivot_Table_Complete.xlsx 81.3 KB
  02_08_Create_Pivot_Tables_With_Copilot.xlsx 54 KB
  02_08_Create_Pivot_Tables_With_Copilot_Complete.xlsx 95.4 KB
  02_09_Challenge_02.xlsx 82.5 KB
  02_09_Challenge_02_Solution.xlsx 104.4 KB
  Ex_Files_Trust_Engineering_AI
  Exercise Files
  01_01_Exploring Digital Trust.pdf 34.2 KB
  01_03_Trust Engineering in Practice.pdf 155.2 KB
  02_06_Tracing Information Sources.pdf 141.4 KB
  03_01_Analyze AI Incidents.pdf 40.2 KB
  03_02_AI Risk Taxonomies.pdf 45 KB
  04_07_Rebalance a Human-AI Workflow.pdf 37.1 KB
  05_03_Exploring Model Cards and Equivalents.pdf 39.7 KB
  05_07_AI Risk Assessment_Guide for Reviewers.pdf 191.1 KB
  05_07_AI Risk Assessment_Guide for Submitters.pdf 71.3 KB
  05_07_StartHere_AI Risk Assessment.pdf 226.7 KB
  05_08_Applying the RISKS Checklist.pdf 48.5 KB
  06_01_Applied Trust Engineering.pdf 57.5 KB
  PivotTables with Copilot - Tips.docx 19.7 KB
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  01. Introduction
  01. Engineering AI you can trust.mp4 2.7 MB
  01. Engineering AI you can trust.srt 1.1 KB
  02. 1. Foundations of Trust Engineering
  01. What is trust in AI engineering.mp4 7.3 MB
  01. What is trust in AI engineering.srt 3.5 KB
  02. Trust engineering in practice.mp4 7.4 MB
  02. Trust engineering in practice.srt 3.3 KB
  03. 2. AI Risk Basics
  01. PR nightmares.mp4 5.4 MB
  01. PR nightmares.srt 2.6 KB
  02. AI risks part 1 Algorithmic challenges.mp4 16.2 MB
  02. AI risks part 1 Algorithmic challenges.srt 6.9 KB
  03. AI risks part 2 Human challenges.mp4 11.1 MB
  03. AI risks part 2 Human challenges.srt 5.1 KB
  04. 3. Understanding AI Incidents
  01. Introducing the AI incident database.mp4 13.9 MB
  01. Introducing the AI incident database.srt 5.4 KB
  02. AI risk taxonomies.mp4 6.6 MB
  02. AI risk taxonomies.srt 2.7 KB
  03. When business incentives conflict with trust.mp4 13.8 MB
  03. When business incentives conflict with trust.srt 6.2 KB
  05. 4. Human-AI Collaboration
  01. Balancing humans and machines.mp4 20.3 MB
  01. Balancing humans and machines.srt 7.6 KB
  02. Explainability and decision-making.mp4 9.9 MB
  02. Explainability and decision-making.srt 4.6 KB
  03. Decision design in the enterprise.mp4 10.8 MB
  03. Decision design in the enterprise.srt 5.7 KB
  04. Context and roles.mp4 9.7 MB
  04. Context and roles.srt 4.4 KB
  05. Managing expectations.mp4 9.8 MB
  05. Managing expectations.srt 4 KB
  06. 5. Transparency and Accountability
  01. Understanding model evaluation.mp4 12 MB
  01. Understanding model evaluation.srt 6.1 KB
  02. Understanding model limitations.mp4 20.7 MB
  02. Understanding model limitations.srt 10.4 KB
  03. Exploring model cards and equivalents.mp4 8.7 MB
  03. Exploring model cards and equivalents.srt 3.9 KB
  04. Traceability.mp4 7.9 MB
  04. Traceability.srt 3.7 KB
  05. Designing response plans.mp4 6.4 MB
  05. Designing response plans.srt 4.8 KB
  06. A survey of trust infrastructure.mp4 13.5 MB
  06. A survey of trust infrastructure.srt 5.8 KB
  07. 6. Building Your Toolkit
  01. Applied trust engineering.mp4 5 MB
  01. Applied trust engineering.srt 2.5 KB
  08. 7. Next Steps
  01. Keep up with trust.mp4 2.8 MB
  01. Keep up with trust.srt 1.2 KB
  07. AI risk assessments.mp4 8.9 MB
  07. AI risk assessments.srt 4.2 KB
  08. AI assurance and audits.mp4 11.9 MB
  08. AI assurance and audits.srt 5.6 KB
  06. Minimizing scope and thoughtful friction.mp4 7.2 MB
  06. Minimizing scope and thoughtful friction.srt 3.1 KB
  07. Rebalance a human-AI workflow to de-risk.mp4 3.3 MB
  07. Rebalance a human-AI workflow to de-risk.srt 1.4 KB
  04. Context and hallucinations.mp4 8.7 MB
  04. Context and hallucinations.srt 4.1 KB
  05. Tracing information sources.mp4 8.6 MB
  05. Tracing information sources.srt 3.5 KB
  06. Adversarial examples.mp4 4.2 MB
  06. Adversarial examples.srt 1.7 KB
  02. Why does trust engineering matter.mp4 6.1 MB
  02. Why does trust engineering matter.srt 2.5 KB

Description


Trust Engineering for AI: Essential Training
https://WebToolTip.com
Released 5/2026

With Cal Al-Dhubaib

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 39m | Size: 282 MB
Learn practical tools and frameworks to make AI systems safer, more transparent, and easier to govern—in this course for data, product, and risk professionals.
Course details

This course is designed for data, product, and risk professionals responsible for planning and delivering AI-powered products and processes. Get a comprehensive introduction to trust engineering—a discipline that bridges data science, product development, UX, and risk to help teams build AI systems with safety, transparency, and accountability from the start. Through incident-based exercises and structured reviews of transparency assets, discover practical ways to communicate failure modes, limitations, and risk levels that different stakeholders can act on. Along the way, practice using assessment tools and oversight patterns that support regulatory expectations while keeping AI initiatives moving. By the end of this course, you’ll be equipped with a shared toolkit that your team can use to plan, implement, manage, and improve AI systems more effectively.
Skills covered

Data Governance, AI Governance, Data Strategies, Data Management, Artificial Intelligence (AI)