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Test Job2 - Amazon AI Impact
completedAmazon
|12 assessments, 68 courses, 9 labs, 33 practices
|UB/UProSkills
64 rows, 32 unique
| # | Learning Path | Skill | Course | Confidence | Course Length | Section Info | Selection Length | Notes | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
All (Software Development Engineers (SDEs),
Technical Program Managers (TPMs), and People Managers) 0.2h total | |||||||||||
| 1 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | AI Foundationassessment General Assessment on foundational AI Skills | assessment | Found with broader criteria | - | - | - | - | |||
| 1 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | AI Foundationassessment General Assessment on foundational AI Skills | assessment | Good | - | - | - | - | |||
| 2 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | Prompt engineeringassessment General Assessment on foundational Prompt Engineering | assessment | Good | - | - | - | - | |||
| 2 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | Prompt engineeringassessment General Assessment on foundational Prompt Engineering | Good | - | - | - | - | ||||
| 3 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | AI Ethicsassessment General Assessment on foundational AI Ethics | assessment | Good | - | - | - | - | |||
| 3 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | AI Ethicsassessment General Assessment on foundational AI Ethics | assessment | Found with broader criteria | - | - | - | - | |||
People Manager 1.1h total | |||||||||||
| 4 | People Manager | AI for Leadershipassessment General Assessment on AI for Managers | Good | - | - | - | - | ||||
| 4 | People Manager | AI for Leadershipassessment General Assessment on AI for Managers | Found with broader criteria | - | - | - | - | ||||
SDE 0.2h total | |||||||||||
| 5 | SDE | AI for SDEassessment General Assessment on AI for Software Developpers | Good | - | - | - | - | ||||
| 5 | SDE | AI for SDEassessment General Assessment on AI for Software Developpers | Good | - | - | - | - | ||||
TPM 0.1h total | |||||||||||
| 6 | TPM | AI for TPMassessment General Assessment on AI for Technical Project/Program Managers | assessment | Found with broader criteria | - | - | - | - | |||
| 6 | TPM | AI for TPMassessment General Assessment on AI for Technical Project/Program Managers | Good | - | - | - | - | ||||
All (Software Development Engineers (SDEs),
Technical Program Managers (TPMs), and People Managers) 0.2h total | |||||||||||
| 7 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | GenAI fundamentals How does Gen AI work?
Model Limitations | Good | 28.2h | Section 7: Generative AI (GenAI) - Deep Dive, Lectures 100-102 | 12min | - | ||||
| 7 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | GenAI fundamentals How does Gen AI work?
Model Limitations | Good | 22h | Section 3, Lecture 12: What is AI and Generative AI? | 4min | - | ||||
| 8 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | Ethical considerations/Gen AI Ethical Guidelines How to identify and apply responsible AI behaviors, focusing on data privacy, hu | Good | 1.7h | Section 1, Lectures 3-4: Ethical AI vs. Responsible AI: Principles and Practice; AI in Business: Everyday Uses, Hidden Risks | 12min | - | ||||
| 8 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | Ethical considerations/Gen AI Ethical Guidelines How to identify and apply responsible AI behaviors, focusing on data privacy, hu | Good | 3h | Section 2: Introduction to AI and Data Ethics, Lectures 5-6 | 13min | - | ||||
| 9 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | Basic prompt engineering Explain prompt engineering principles and AI limitations
Focus on R-C-T-F Framew | Good | 2.2h | Section 1: Prompt Engineering: The Key To ChatGPT And Other AI Models!, Lecture 1 | 3min | - | ||||
| 9 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | Basic prompt engineering Explain prompt engineering principles and AI limitations
Focus on R-C-T-F Framew | Good | 1.2h | Section 2: Generative AI Prompt Architecture: Learn the ICO Prompt Engineering Framework, Lectures 5-6 | 9min | - | ||||
| 10 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | Practice
Prompt Engineeringlab Hands on activity to practice prompt engineering
Construct basic role-specific p | Good | - | - | - | - | ||||
| 10 | All (Software Development Engineers (SDEs), Technical Program Managers (TPMs), and People Managers) | Practice
Prompt Engineeringpractice Hands on activity to practice prompt engineering
Construct basic role-specific p | Good | 2.2h | Section 6: Prompt Priming and Personalization, Lectures 14-15 | 14min | - | ||||
People Manager 1.1h total | |||||||||||
| 11 | People Manager | AI delegation frameworks Teaches managers how to decide what tasks to delegate to AI versus what requires | 6708355 | Good | 2.2h | Section 1: Module 1: Introduction to this Course | 20min | - | |||
| 11 | People Manager | AI delegation frameworks Teaches managers how to decide what tasks to delegate to AI versus what requires | Good | 1.5h | Section 2: Using AI is Like Managing a Team of Interns, Lecture 6 | 4min | - | ||||
| 12 | People Manager | Ethics oversight training Focuses on recognizing bias, privacy concerns, and compliance risks in AI output | Good | 3h | Section 2: Introduction to AI and Data Ethics | 17min | - | ||||
| 12 | People Manager | Ethics oversight training Focuses on recognizing bias, privacy concerns, and compliance risks in AI output | Good | 2.5h | Section 1: Introduction, Lecture 14 | 11min | - | ||||
| 13 | People Manager | Team adoption strategies Guides managers in building a culture of curiosity, psychological safety, and re | 6708355 | Good | 2.2h | Section 2: Module 2: Culture & Engagement - Building Trust, Safety & Curiosity | 22min | - | |||
| 13 | People Manager | Team adoption strategies Guides managers in building a culture of curiosity, psychological safety, and re | Found with broader criteria | 4.9h | Section 2: Best Practices of Using Generative AI (Fundamental First Steps for Every Team), Lectures 5-6 | 13min | Although the rating is lower than 4.4, the content is still relevant to this skill | ||||
| 14 | People Manager | Aggressive Experimentation Encourages managers to test AI safely and assess outcomes before scaling use. Fo | 6708355 | Good | 2.2h | Section 2: Module 2: Culture & Engagement - Building Trust, Safety & Curiosity | 22min | - | |||
| 14 | People Manager | Aggressive Experimentation Encourages managers to test AI safely and assess outcomes before scaling use. Fo | Good | 6.1h | Section 10: AI Project Management for Leaders, Lectures 48-50 | 10min | - | ||||
| 15 | People Manager | Practice
AI delegation frameworks
Ethics oversight training
Team adoption strategies
Aggressive Experimentationpractice Hands on activity to practice covering these topics with team members
focus on | Not processed yet | ||||||||
| 15 | People Manager | Practice
AI delegation frameworks
Ethics oversight training
Team adoption strategies
Aggressive Experimentationpractice Hands on activity to practice covering these topics with team members
focus on | Good | 3.1h | Section 7: Gen AI for Business Excellence: Optimizing Code, Automation, and Communication, Lecture 18 | 8min | - | ||||
TPM 0.1h total | |||||||||||
| 16 | TPM | AI-Supported Program Planning Guide learners to design prompts that help structure complex project plans, iden | – | Can't find easily | - | - | - | Content gap: no course with satisfactory match found for this skill | |||
| 16 | TPM | AI-Supported Program Planning Guide learners to design prompts that help structure complex project plans, iden | – | Can't find easily | - | - | - | Content gap: no course with satisfactory match found for this skill | |||
| 17 | TPM | Ethical Oversight: Bias and Error Detection Examine AI outputs for quality and accuracy
Trains learners to review AI-genera | Good | 13.4h | Section 19: Testing of Ethical AI - LLM Non functional Testing, Lectures 138-140 | 14min | - | ||||
| 17 | TPM | Ethical Oversight: Bias and Error Detection Examine AI outputs for quality and accuracy
Trains learners to review AI-genera | Good | 1.7h | Section 7: Spotting and Tackling Bias in AI, Lectures 16-17 | 9min | - | ||||
| 18 | TPM | AI Adoption Pilot Plan Assess effectiveness of role-specific AI applications
Guide Learners on how to | Good | 8.2h | Section 3: AI Project Management: Stakeholders, Teams, and Strategic Planning, Lectures 15-16 | 14min | - | ||||
| 18 | TPM | AI Adoption Pilot Plan Assess effectiveness of role-specific AI applications
Guide Learners on how to | Good | 6.1h | Section 10: AI Project Management for Leaders, Lectures 48-50 | 10min | - | ||||
| 19 | TPM | Practice
AI-Supported Program Planning
AI Adoption Pilot Planpractice Hands on activity to practice
Identfying a pilot workflow and define a pilot pr | Found with broader criteria | 3.5h | Section 4: Part 2: Implementing AI, Lecture 16 | 9min | Although the rating is lower than 4.4, the content is still relevant to this skill | ||||
| 19 | TPM | Practice
AI-Supported Program Planning
AI Adoption Pilot Planpractice Hands on activity to practice
Identfying a pilot workflow and define a pilot pr | Good | 47.6h | Section 10: Querying techniques for AI models, Lectures 94-95 | 5min | - | ||||
| 20 | TPM | Practice
Ethical Oversight Lab: Bias and Error Detectionpractice Hands on activity to practice
Review AI outputs to identify inacurracies | Good | 1.3h | Section 8: Conclusion and Final Project, Lecture 11 | 2min | - | ||||
| 20 | TPM | Practice
Ethical Oversight Lab: Bias and Error Detectionpractice Hands on activity to practice
Review AI outputs to identify inacurracies | 5376374 | Good | 2.7h | Section 1: Introduction, Lecture 1 | 8min | - | |||
SDE 0.2h total | |||||||||||
| 21 | SDE | Code generation basics Construct advanced prompts for complex scenarios
Focuses on designing prompts t | Found with broader criteria | 3.1h | Section 5: Code Generation, Refactoring, and Enhancement, Lectures 21-22 | 5min | Although the rating is lower than 4.4, the content is still relevant to this skill | ||||
| 21 | SDE | Code generation basics Construct advanced prompts for complex scenarios
Focuses on designing prompts t | Good | 2.2h | Section 4: Prompt Engineering Explained | 8min | - | ||||
| 22 | SDE | Practice
Code generation basicslab Hands on activity on Code generation
Focuses on designing prompts to generate sm | Good | - | - | - | - | ||||
| 22 | SDE | Practice
Code generation basicspractice Hands on activity on Code generation
Focuses on designing prompts to generate sm | Good | 4.1h | Section 4: Amazon Q developer for Java, Lectures 20-21 | 11min | - | ||||
| 23 | SDE | Unit test automation Examine AI outputs for quality and accuracy
Teaches how to use AI to create or | Good | 11.4h | Section 7: CHAT GPT - Accelerate Test Artifact Generation, Lecture 48 | 10min | - | ||||
| 23 | SDE | Unit test automation Examine AI outputs for quality and accuracy
Teaches how to use AI to create or | – | Can't find easily | - | - | - | Content gap: no course with satisfactory match found for this skill | |||
| 24 | SDE | Practice
Unit test automationlab Hands on activity on Testing
Generate behavior-based tests, evaluate for over-fi | Good | - | - | - | - | ||||
| 24 | SDE | Practice
Unit test automationpractice Hands on activity on Testing
Generate behavior-based tests, evaluate for over-fi | Good | 48.2h | Section 2: C# Fundamentals, Lectures 14-15 | 15min | - | ||||
| 25 | SDE | Debug assistance Assess effectiveness of role-specific AI applications
Explores using AI to iden | Good | 8h | Section 13: Amazon Q - Exploring Amazon Q Features, Lectures 45-46 | 9min | - | ||||
| 25 | SDE | Debug assistance Assess effectiveness of role-specific AI applications
Explores using AI to iden | Found with broader criteria | 2.5h | Section 3: Spotting AI’s Mistakes - Hallucinations and Red Flags, Lecture 12 | 9min | Although the rating is lower than 4.4, the content is still relevant to this skill | ||||
| 26 | SDE | Practice
Debug assistance labslab Hands on activity on Debugging
reproduce the bug, force AI to explain root cause | Good | - | - | - | - | ||||
| 26 | SDE | Practice
Debug assistance labspractice Hands on activity on Debugging
reproduce the bug, force AI to explain root cause | Good | 37.1h | Section 4: Pandas Basics (DataFrame Basics I), Lecture 36 | 5min | - | ||||
People Manager 1.1h total | |||||||||||
| 27 | People Manager | Performance review assistance Construct advanced prompts for complex scenarios
Explores how AI can help draft | Found with broader criteria | 6.8h | Section 4: AI-Driven Performance Management, Branding & Workforce Optimization, Lecture 5 | 18min | Although the rating is lower than 4.4, the content is still relevant to this skill. Section/course duration exceeds the target of 0.25h, but best available match for this skill | ||||
| 27 | People Manager | Performance review assistance Construct advanced prompts for complex scenarios
Explores how AI can help draft | Good | 28.9h | Section 103: AI-based Performance Monitoring and Feedback, Lectures 505-508 | 13min | - | ||||
| 28 | People Manager | Team coaching with AI Learn how to use AI as a reflection or coaching tool (drafting development plans | 6708355 | Good | 2.2h | Section 3: Module 3: Communication & Relationships - Leading Conversations That Matter | 22min | - | |||
| 28 | People Manager | Team coaching with AI Learn how to use AI as a reflection or coaching tool (drafting development plans | Good | 53.6h | Section 73: AI for Self-Awareness and Self-Improvement, Lectures 495-499 | 15min | - | ||||
| 29 | People Manager | GenAI Interviewing Updates Module on using AI for structured interview preparation, behavioral question des | Good | 6.1h | Section 10: How to Win in Formal Job Interviews While Being Yourself, Lectures 15-20 | 12min | - | ||||
| 29 | People Manager | GenAI Interviewing Updates Module on using AI for structured interview preparation, behavioral question des | Good | 2.7h | Section 9: Advanced Topics: Technology and AI in Recruitment, Lectures 2-3 | 8min | - | ||||
| 30 | People Manager | Risk management strategies Assess effectiveness of role-specific AI applications
Helps managers identify, | Good | 15.8h | Section 4: Domain 2: AI Risk Management (31%), Lecture 32 | 15min | Section/course duration exceeds the target of 0.25h, but best available match for this skill | ||||
| 30 | People Manager | Risk management strategies Assess effectiveness of role-specific AI applications
Helps managers identify, | Good | 3.4h | Section 3: NIST AI Framework Deepdive - FOUNDATION, Lectures 8-9 | 11min | - | ||||
| 31 | People Manager | AI for Leveling & Calibration Support
(context: performance review) Focuses on testing AI's accuracy and reliability in summarizing performance data | Found with broader criteria | 3h | Section 1: Welcome to Feedback & Performance Management | New for 2026, Lecture 1 | 6min | Although the rating is lower than 4.4, the content is still relevant to this skill | ||||
| 31 | People Manager | AI for Leveling & Calibration Support
(context: performance review) Focuses on testing AI's accuracy and reliability in summarizing performance data | Good | 17.6h | Section 31: Phase 4 Insight Generation - Bias, Fairness Testing and Explainability Testing, Lecture 97 | 8min | - | ||||
| 32 | People Manager | Practice
Performance review assistance
Team coaching with AI
GenAI Interviewing Updates
Risk management strategies
AI for Leveling & Calibration Supportpractice Hands on activity on
- Drafting/summarizing perofrmance Data
- Creating intervie | Good | 19.8h | Section 91: Test your knowledge now to achieve your goals!, Lecture 407 | 0min | - | ||||
| 32 | People Manager | Practice
Performance review assistance
Team coaching with AI
GenAI Interviewing Updates
Risk management strategies
AI for Leveling & Calibration Supportpractice Hands on activity on
- Drafting/summarizing perofrmance Data
- Creating intervie | Good | 2h | Section 1: Introductory Prompts and Quick Wins, Lecture 2 | 11min | - | ||||