Grade 10: Career Pathways, AI Implementation, and Client Service — Free Course

Di Tran University · College of Humanization · Grade 10

Career Pathways, AI Implementation, and Client Service

Explore a pathway, define a human need, use AI with judgment, and deliver a tested solution without overpromising.

Free public learning12-part mastery pathNo account or paymentHuman-guided evidence
Public-use boundary. This is original DTU noncredit self-study curriculum. It does not award or promise school credit, a diploma, accreditation, licensure, certification, admission, employment, funding, earnings, or placement. Minor learners must use this material with appropriate adult supervision and family/school safeguards. Use fictional, public, or minimum-necessary information; do not enter protected or confidential records into open tools.

Learn with dignity. Build with proof. Advance with purpose.

This course turns learning into useful evidence through five repeatable moves: Learn → Practice → Prove → Use → Advance. Work at an appropriate pace, disclose meaningful help, correct mistakes, and explain the result in your own words.

12chronological learning units or modules
4complete resources: blueprint, workbook, facilitator guide, and capstone
$0free public access; no DTU account, payment, or credential required
Recommended setting: Supervised pathway, AI, and service-project practice. You may print or save this page as a PDF from your browser. The web page does not submit or store workbook answers.

Complete course resources

Open each section in order. The learner workbook is open first so learning can begin immediately.

Course blueprint — The learning promise, sequence, outputs, and course boundaries.

Course 03: Career Pathways, AI Implementation, and Client Service

Grade 10 free public self-study course specification

Plain promise: Explore a pathway carefully, define a real client need, use technology and AI with human judgment, and deliver a tested solution without overpromising. Parent doctrine: College of Humanization Format: Original noncredit curriculum prototype Recommended guided time: 36 hours, plus supervised project practice Version: 0.1, October 9, 2026 Status: Internal draft; qualified review and actual-context controls required

Boundary

This course does not award high-school credit, a diploma, graduation status, occupational hours, licensure, certification, accredited credit, job placement, or guaranteed employment, income, admission, funding, or client results. It does not authorize regulated service. A school, employer, regulator, credential issuer, or other authorized body makes its own decisions. Examples may be simulated and must use minimum or synthetic data.

Outcomes

Learners will:

  1. choose pathway criteria based on interests, constraints, human need, and evidence;
  2. distinguish user, client, stakeholder, payer, employer, and authority;
  3. verify occupational information from appropriate current sources and label uncertainty;
  4. define scope, deliverables, exclusions, acceptance tests, and change rules;
  5. compare manual, digital, automated, and AI-assisted workflows;
  6. disclose assistance and protect data, authorship, and human decision-making;
  7. build a minimum useful service or workflow artifact;
  8. test accuracy, usability, accessibility, privacy/security, safety, and failure recovery;
  9. communicate updates, manage change requests, and complete a handoff;
  10. explain cost, time, value, limits, and fair exchange;
  11. defend the work independently and respond to an unfamiliar client problem; and
  12. deliver a client-service capstone with a truthful next-step plan.

Twelve-unit sequence

Unit 1 — Know: Pathway Decision Criteria

Question: What kind of work or service fits my interests, values, constraints, and current evidence? Learn: Separate interest, skill, value, opportunity, requirement, and assumption. Practice: Compare fictional pathways with a common decision table. Prove: Create pathway criteria and a baseline evidence inventory. Use: Select one pathway for exploration, not commitment. Advance: Name what must be verified next and what would change the choice. Gate: No identity labels, guaranteed-fit claims, or private-record collection.

Unit 2 — Notice: User and Client Discovery

Question: What does the person or organization actually need? Learn: Distinguish user, client, beneficiary, decision-maker, payer, and affected person. Practice: Turn assumptions into open, permitted questions. Prove: Draft a bounded discovery brief using a fictional or authorized context. Use: Confirm or correct the need without promising a solution. Advance: Choose a small, reversible problem. Gate: Consent, minimum data, and no diagnosis or sensitive inference.

Unit 3 — Ask: Occupational Research and Source Verification

Question: What is true about this pathway, and what is still unknown? Learn: Source hierarchy, date, geography, scope, eligibility, and limitations. Practice: Classify official rule, provider policy, employer preference, estimate, opinion, and unknown. Prove: Build a pathway source record and uncertainty log. Use: Compare two routes without calling either approved or guaranteed. Advance: Write one confirm-or-correct question for the responsible authority. Gate: Reopen current controlling sources before any time-sensitive or regulated claim.

Unit 4 — Plan: Scope, Deliverables, and Acceptance Tests

Question: What exactly will be delivered, by when, and how will we know it works? Learn: Scope, exclusions, roles, dependencies, milestones, risks, acceptance, and change control. Practice: Repair a vague client request into a one-page brief. Prove: Write a project plan with deliverables, tests, and stop points. Use: Conduct a simulated kickoff and confirmation. Advance: Identify the smallest useful version. Gate: No contract, public commitment, or live client promise.

Unit 5 — Tool: AI-Assisted Workflow Design

Question: Which method helps without taking over judgment or exposing data? Learn: Tool fit, data minimization, human review, bias, accuracy, accessibility, security, and failure modes. Practice: Compare a manual, digital, and AI-assisted approach. Prove: Create a tool decision, data map, review points, and assistance ledger. Use: Test with synthetic data or a no-account sandbox. Advance: Complete: “The tool may assist with ; a human must decide .” Gate: No protected/confidential data in open tools; offline alternative required.

Unit 6 — Make: Deliver Version One

Question: Can I build a minimum useful solution for the stated scope? Learn: Prototype, content/workflow quality, version, assumptions, and user instructions. Practice: Follow a worked example, then change one requirement. Prove: Build version one of a service, resource, workflow, or simulation. Use: Demonstrate the primary use case. Advance: Record one limitation, one failure, and one repair choice. Gate: No unsupervised regulated or real-client service.

Unit 7 — Check: Accuracy, Access, and Failure Testing

Question: Does it work for ordinary use and when something goes wrong? Learn: Test matrix, accessibility, privacy/security, safety, bias, misunderstanding, and recovery. Practice: Test normal, incorrect, edge, unavailable-tool, and human-error cases. Prove: Submit test evidence and a correction record. Use: Retest the highest-severity defect. Advance: Repair, simplify, pause, or retire. Gate: Noncompensable gates override any score.

Unit 8 — Work Together: Updates, Change, and Handoff

Question: Can I work with a client or team without losing clarity or dignity? Learn: Status update, change request, decision log, handoff, feedback, conflict repair. Practice: Role-play a scope change and a delayed deliverable. Prove: Create an update, change log, and handoff record. Use: Receive correction and confirm ownership. Advance: State the next decision and date. Gate: No impersonation, hidden work, or unauthorized client contact.

Unit 9 — Protect: Confidentiality, IP, Cybersecurity, and Claims

Question: What must be protected, credited, corrected, or refused? Learn: Minimum data, permissions, authorship, licensing, confidentiality, security, accessibility, and truthful claims. Practice: Redline a risky workflow and unsupported marketing statement. Prove: Submit a protection and claim review. Use: Explain a boundary to a fictional client. Advance: Set owner and review date for each changing claim. Gate: Stop when authority, consent, safety, privacy, or authorship is unclear.

Unit 10 — Value: Pricing, Time, Cost, and Reciprocal Benefit

Question: Who benefits, what does it cost, and is the exchange fair? Learn: Time, labor, materials, overhead, risk, price, revenue, compensation, net value, and alternatives. Practice: Repair a proposal that hides effort or guarantees results. Prove: Create a dated value map with assumptions and unknowns. Use: Compare paid, volunteer, and internal-service models. Advance: Select a no-spend next experiment. Gate: No quote, contract, purchase, or income promise.

Unit 11 — Explain: Implementation Brief and Demonstration

Question: Can I show what I built, what it changes, and what it cannot promise? Learn: Evidence-based brief, limitation statement, independent explanation, and transfer. Practice: Present a five-minute demo and answer an unfamiliar failure question. Prove: Submit an implementation brief and oral/written defense. Use: Complete a no-AI transfer task or an adapted equivalent that preserves the target. Advance: Record reviewer questions and revisions. Gate: Assistance and authorship must be disclosed.

Unit 12 — Serve and Advance: Client-Service Capstone

Question: Can I deliver responsibly and choose the next verified step? Learn: Closeout, feedback, correction, continuity, maintenance, retirement, and transition. Practice: Simulate delivery, complaint, correction, and handoff. Prove: Deliver a tested solution or high-fidelity simulation with the complete evidence packet. Use: Collect structured feedback and correct or hold. Advance: Complete 30/90/365-day pathway steps with authority, evidence, support, cost, risk, and alternate route. Gate: Private simulation unless exact-context approval and supervision exist.

Evidence and completion

Each unit produces an artifact or observed performance. Use the universal 0–4 task-level scale; never score human worth. A high total cannot erase false claims, missing authority/consent, unsafe work, unnecessary data, inaccessible assessment, undisclosed assistance, or absent human accountability. Safe completion wording remains: “The learner completed the noncredit DTU course and demonstrated the listed tasks at the documented support level.”

Learner workbook — The complete twelve-part Learn → Practice → Prove → Use → Advance workbook.

Course 03 Grade 10 — Learner Workbook

Free public noncredit self-study edition. This is original noncredit practice. It does not award credit, a diploma, a license, a certification, employment, admission, funding, or client authorization. Use fictional or minimum necessary data. Disclose AI/adult/peer help.

Course map

Pathway choice → client discovery → source check → scope → tool → build → test → handoff → protect → value → explain → capstone.

Unit 1 — Pathway Decision Criteria

Learn: Interest, skill, value, opportunity, requirement, and assumption are different. Practice: Compare two fictional pathways using the same criteria. Prove: Make a pathway criteria table and evidence baseline. Use: Choose one pathway to explore, not a permanent identity. Advance: Write what must be verified next. Save: Criteria table and baseline.

Unit 2 — User and Client Discovery

Learn: User, client, beneficiary, decision-maker, payer, and affected person may differ. Practice: Turn assumptions into permitted open questions. Prove: Draft a bounded discovery brief. Use: Confirm or correct the need in a fictional or authorized case. Advance: Choose one small reversible problem. Save: Discovery brief.

Unit 3 — Occupational Research and Sources

Learn: A source has an issuer, date, scope, geography, and limits. Practice: Label official rule, provider policy, preference, estimate, opinion, and unknown. Prove: Build a pathway source record and uncertainty log. Use: Compare two routes without calling either approved. Advance: Write one confirm-or-correct question for the responsible authority. Save: Source record.

Unit 4 — Scope and Acceptance Tests

Learn: A clear project names deliverables, exclusions, roles, dates, and tests. Practice: Repair a vague client request. Prove: Write a one-page scope and acceptance plan. Use: Run a simulated kickoff and confirmation. Advance: Select the smallest useful version. Save: Scope and acceptance plan.

Unit 5 — AI-Assisted Workflow Design

Learn: Tools assist work; humans remain responsible for truth, safety, privacy, access, authorship, and decisions. Practice: Compare manual, digital, and AI-assisted methods. Prove: Make a tool decision, data map, human-review plan, and assistance ledger. Use: Test with synthetic data or no account. Advance: Finish: “The tool may help with ; a human must decide .” Save: Tool/data/assistance record.

Unit 6 — Deliver Version One

Learn: A minimum useful solution has a purpose, version, assumptions, instructions, and limit. Practice: Follow a worked example, then change one requirement. Prove: Build version one of a resource, workflow, service simulation, or implementation artifact. Use: Demonstrate one promised task. Advance: Record one failure and one repair choice. Save: Version-one artifact.

Unit 7 — Accuracy, Access, and Failure Testing

Learn: Test ordinary, incorrect, edge, unavailable-tool, and human-error cases. Practice: Fill expected result, actual result, evidence, severity, correction, retest. Prove: Test your artifact and repair the most serious defect. Use: Retest and state what remains unknown. Advance: Repair, simplify, pause, or retire. Save: Test/correction record.

Unit 8 — Updates, Change, and Handoff

Learn: A useful update says completed, evidence, issue, decision needed, next step, and date. Practice: Role-play a scope change and delay. Prove: Create an update, change log, and handoff record. Use: Confirm ownership and accept correction. Advance: Record the next decision/date. Save: Communication packet.

Unit 9 — Protection and Claims

Learn: Protect data, people, authorship, confidentiality, access, safety, and truthful scope. Practice: Redline “approved,” “certified,” “guaranteed,” or “safe for everyone” without proof. Prove: Submit a protection and claim review. Use: Explain one boundary to a fictional client. Advance: Name an owner and review date. Save: Protection/claim review.

Unit 10 — Pricing, Time, Cost, and Value

Learn: Revenue, price, labor, materials, overhead, risk, compensation, and net value differ. Practice: Repair a proposal that hides effort or guarantees results. Prove: Create a dated value map with unknowns and a no-spend alternative. Use: Compare paid, volunteer, and internal-service models. Advance: Choose a fair next experiment. Save: Value map.

Unit 11 — Implementation Brief and Defense

Learn: Explain what you built, what it changes, what help you used, and what it cannot promise. Practice: Give a five-minute demo and answer a failure question. Prove: Submit an implementation brief and independent defense. Use: Complete a no-AI transfer task or an adapted equivalent. Advance: Record reviewer questions and revisions. Save: Brief and defense record.

Unit 12 — Client-Service Capstone

Learn: Responsible closeout includes feedback, correction, continuity, maintenance, and retirement. Practice: Simulate delivery, complaint, correction, and handoff. Prove: Deliver a tested solution or high-fidelity simulation with the evidence packet. Use: Collect feedback and correct or hold. Advance: Make a 30/90/365-day plan with authority, evidence, support, cost, risk, and alternate route. Save: Capstone and transition plan.

Assistance ledger

DateTaskHelp usedWhat I checked/changedWhat I can explain alone

Final check

  • I know this is noncredit self-study work.
  • My source, scope, data, assistance, and authorship are visible.
  • I tested truth, authority, safety, privacy/security, accessibility, and failure recovery.
  • I can explain a limitation without hiding it.
  • My next step is verified or clearly held.
Facilitator guide — Guidance for a parent, educator, coach, mentor, or facilitator.

Course 03 Grade 10 — Facilitator Guide

Status and role

Free public edition. Facilitate learning and simulation only after the actual age/context, privacy, safety, accessibility, tools, supervision, and consent routes are reviewed. Do not decide credit, diploma, credential, license, employment, funding, admission, or client authorization.

Preflight

  1. Confirm learner context, supports, language access, and safe alternative.
  2. Use fictional or minimum necessary data; no protected records in open tools.
  3. Prohibit live accounts, purchases, applications, public posts, regulated service, and unsupervised client contact.
  4. Prepare paper/offline and oral, written, visual, and demonstrated evidence modes.
  5. Explain noncredit status and have learners repeat what the course does not confer.
  6. Name human owners for curriculum, safety/incidents, privacy, accessibility, and release decisions.

Reusable session

10 min goal/access/status check; 25 min model; 30 min guided practice; 35 min independent/adapted practice; 35 min simulation; 20 min evidence; 15 min feedback/correction; 10 min safety/privacy/assistance closeout.

Unit map

UnitModelObserveRequired handoff
1Pathway comparisonIdentity labels or guarantee languageCriteria/baseline
2Discovery questionsSensitive inference or unauthorized contactBounded brief
3Source classificationSummary treated as authoritySource/uncertainty record
4Scope and acceptanceMissing exclusions or testProject brief
5Tool/data choiceExcess data, hidden AI, no human reviewTool/data/assistance record
6Version-one demonstrationCannot reproduce or explainArtifact and limitation
7Test matrixDefect concealment or access treated as optionalCorrection/retest
8Update/change/handoffUnclear ownership or hidden delayCommunication packet
9Claim redlineUnsupported approved/certified/guaranteed languageProtection/claim review
10Value mapGross/revenue confused with net valueDated value map
11Independent defenseTool speaks for learnerBrief, defense, assistance ledger
12Simulated closeoutNo correction, maintenance, or retirementCapstone and transition

Feedback, differentiation, and escalation

Name the observable task, rule/evidence, learner explanation, one correction, retry, support level, and transfer step. Offer plain language, examples, translation during learning, assistive technology, breaks, and offline modes. Do not score human worth. Pause and escalate for unsafe work, missing authority/consent, protected data, inaccessible required evidence, harassment/discrimination, false claims, undisclosed assistance, or uncorrectable tool failure.

Assessment and closeout

Use the universal task-level 0–4 scale: not yet shown; direct help; limited help; independently here; transfers and helps. Record context, date, support, evidence, explanation, correction, and next step. A high total cannot compensate for a noncompensable gate failure. Confirm artifacts are labeled internal/noncredit, no public or external action occurred, and the next step is verified or held.

Capstone and evidence rubric — The final project, evidence packet, and transparent scoring guide.

Course 03 Grade 10 — Client-Service Capstone and Rubric

Brief

In a private simulation, choose a bounded human need, verify pathway/source context, define scope, build a minimum useful solution, test it, communicate a handoff, explain cost/value and limits, and create a truthful transition plan. No live regulated service, public claim, purchase, application, account change, or protected record.

Required packet

Discovery brief; source/uncertainty record; scope/acceptance plan; tool/data/assistance record; version-one artifact; test/correction record; communication/change/handoff packet; protection/claim review; value map; implementation brief/defense; capstone feedback/correction; 30/90/365-day plan.

Rubric

Dimension0 Not shown1 Direct help2 Limited help3 Independent here4 Transfers and helps
Pathway/source judgmentClaim or source absentSorts with direct helpRecords most source limitsUses appropriate source and labels uncertaintySpots source risk in a new case
Human need/scopeNeed or scope missingDefines after promptingBounded with supportNeed, users, exclusions, deliverables, and tests are clearAdapts scope without overpromising
Tool/build qualityNo useful artifactBuilds with rescueCompletes most stepsDemonstrates a minimum useful versionTransfers and improves the workflow
Testing/protectionRisks hiddenFinds defect with helpApplies checks with supportTests ordinary/error/access/privacy/safety cases and correctsPredicts a new risk and controls it
Communication/handoffOwnership unclearUpdates after promptsCompletes supported handoffClear update, change record, confirmation, and repairTeaches the handoff safely
Value/fair exchangeCost/value misleadingSeparates some costsRecords assumptions with helpExplains time, cost, compensation, risk, and alternativesEvaluates a new model fairly
Independent defenseCannot explain help/limitsExplains after promptingExplains core choices with supportDefends decisions and transfer task independentlyHelps another person disclose and test understanding
TransitionUnsupported promiseNext step chosen with helpAuthority/evidence partly namedSpecific lawful, supported, held-or-verified 30/90/365 planBuilds an alternate route

Noncompensable holds

False/inflated claim; missing consent/authority; unsafe or regulated work; unnecessary protected data; inaccessible evidence with no alternative; undisclosed material assistance/copied authorship; or refusal to pause, correct, escalate, or retire.

Safe wording: “The learner completed the noncredit DTU course and demonstrated the listed tasks at the documented support level.” This is not credit, diploma, licensure, certification, employment, client approval, or guaranteed outcome.

Di Tran University — College of Humanization
Free practical education for human dignity, useful work, responsible technology, entrepreneurship, leadership, and community contribution. Explore the full Human Elevation curriculum.
Copyright 2026 Di Tran University. Design and built and created by Di Tran Enterprise Louisville Institute of Technology
Translate »