AI used like a search box
People type a few keywords, copy the first answer and move on. They ask AI for facts instead of giving it real work — drafting, summarizing, analyzing, checking.
Core AI Academy · by Core Consultancy
Build a workforce that actually uses AI.
Your company may already pay for ChatGPT, Claude, Gemini or Grok — yet most people use it like a search box, or not at all. CORE: AI Foundations is a hands-on, 10-session program that teaches every employee, from entry level to managers, to get real work done with AI — safely, verifiably, and with records your ISO 9001 auditor can review.
Works with ChatGPT, Claude, Gemini, Copilot & Grok Simple English — Taglish welcome
Enrolled by your company? Have an enrollment code? Learner login
Your AI assistant · any tool
Before CORE
You
gawa mo ako ng memo
MEMORANDUM
TO: All Employees
FROM: [Your Name]
SUBJECT: [Subject]
Please be informed that [insert details here]. For your guidance and strict compliance.
Generic draft — you still have to explain everything.
Same request. Same AI. The difference is how you ask — and how you check.
- 10 sessions · 20 hours
- 2 weeks, 2 hours a day
- Daily quizzes
- 15 items after every session
- Final exam
- 50 items across all 10 days
- Post-training check
- Workplace scenarios, 2 weeks later
- ISO 9001 records
- Competence evidence (clause 7.2)
The problem
Most teams have AI. Few use it as a work tool.
This is what we see again and again in Philippine companies — from family-run SMEs to ISO-certified manufacturers. None of it is anyone’s fault: most people were simply never taught how.
AI used to confirm what people already believe
Leading questions get agreeable answers. AI tends to go along with the user, so without training people mistake agreement for accuracy.
Paid plans, basic results
The company pays for ChatGPT, Claude, Gemini or Grok, but Projects, custom instructions and instruction files go unused and usage limits run out — so every chat starts from zero.
Low exposure, low confidence
Many employees have never had structured AI training, and some hold back because they think they need perfect English. They don’t — Taglish works.
Back offices left behind
HR, Finance, Admin and Procurement do the most text-heavy, repetitive work — yet they are often the last to learn how to use AI as a tool.
No proof of competence
Even when training happens, nobody records who learned what. There’s nothing a manager — or an ISO 9001 auditor — can review.
What changes after CORE
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Searching for answers
Delegating real work
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Accepting the first reply
Checking with the 3C Check
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Starting every chat from zero
Configured Projects & instruction files
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Scattered, invisible habits
Assessed, documented competence
The solution · three signature methods
Three simple frameworks. One confident habit.
CORE: AI Foundations turns AI from a search box into an everyday work tool. Every lesson comes back to the same three methods — easy to remember, easy to check, and they work in any AI assistant.
The CORE Prompt Method
Our signature method turns vague one-liners into prompts that produce a useful first draft — in simple English, Taglish or Filipino. Four parts, one word to remember.
Example prompt · HR
C · Context
I’m the HR officer of a 60-person food manufacturer in Laguna. Most of our staff read basic English.
O · Objective
Write a memo announcing our new overtime request process, starting October 1.
R · Rules
Simple English, under 150 words, polite but firm, 3 numbered steps, end with who to ask.
E · Examples
Match the tone of the memo I pasted below (between the --- lines).
Thinking in Taglish? Write the prompt the way you think, and ask for the output in simple English — then check the meaning didn’t change.
The 3C Check
A 60-second checklist before anything AI helped you make is used, sent or filed. The person who checks the output is the person who owns it.
- Correct
- Facts, numbers, names and sources are verified against the original — not just “sounds right”.
- Complete
- It fully answers the objective. Nothing important is missing, and nothing was quietly invented to fill a gap.
- Confidential
- No personal or confidential data was exposed. It follows company policy and the Data Privacy Act (RA 10173).
Try it on an AI-drafted supplier email
Not ready yet — 0 of 3 checks done.
The AI Fluency 4D framework
Anthropic’s AI Fluency framework describes four ways people work well with AI. We use it as the backbone of our seven competencies — and teach it with Philippine workplace examples.
Delegation
Deciding what work to give AI — and how: automation, augmentation or agency.
At work: Choosing the right task, tool and mode, and keeping people on the judgment calls.
C1
C4
Main focus on Day 1, 2, 8, 9
Description
Communicating clearly with AI: the product you want, the process to follow and how it should behave.
At work: CORE prompts, good follow-ups, Projects and instruction files that stop you repeating yourself.
C2
C5
Main focus on Day 3, 4, 7
Discernment
Critically evaluating what AI produces and how it behaves — the Description–Discernment loop.
At work: Spotting hallucinations and flattery, checking facts and numbers, fixing weak output.
C3
C7
Main focus on Day 5, 10
Diligence
Taking responsibility for how AI is used: what you create, how open you are about it and what you deploy.
At work: Protecting personal data, following policy, disclosing AI help and owning the result.
C6
Main focus on Day 6
Programs
Three levels. Start with CORE.
CORE builds the habits every employee needs. ADVANCED and EXPERT build on them — by department, and for the people who will automate and govern AI across the company.
Level 1 · CORE
Now enrolling
CORE: AI Foundations
From asking AI questions to getting real work done.
A 2-week, 10-session program (2 hours per session) that builds AI core competency for every employee — entry level to professional. Learners master the CORE Prompt Method, the 3C Check and the AI Fluency 4D framework, then apply them to real back-office work. Every day ends with a quiz; the program closes with a final exam and a post-training workplace competency assessment two weeks later.
- Who it’s for
- All employees — entry, mid and professional levels. No technical background needed.
- Format
- 2 weeks · 10 sessions × 2 hours · 20 hours total · online, on-site or hybrid
What’s included
- 10 guided, step-by-step sessions of 2 hours
- A 15-item quiz at the end of every day
- A 50-item final exam and a certificate anyone can verify online
- A 30-item workplace assessment 2 weeks later
- Company gradebook and competency matrix export
- A personal 30-day AI adoption plan for every learner
Already enrolled? Enter your enrollment code or log in.
Level 2 · ADVANCED
Coming soon
ADVANCED: AI at Work — Function Tracks
Deep, role-specific AI workflows for each department.
CORE graduates, team leads and process owners.
Function tracks
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HR & People
- Job descriptions & competency matrices
- Fair, documented screening support
- Policies, onboarding & training plans
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Finance & Accounting
- Variance analysis & management reports
- Spreadsheet formulas & reconciliations
- Controls for AI-assisted numbers
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Sales & Marketing
- Brand-voice content systems
- Proposal & quotation drafting
- Customer insight summaries
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Operations & Supply Chain
- Work instructions & shift reports
- Supplier comparison & RFQs
- Production issue analysis
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Customer Service
- Reply templates & tone control
- FAQ & knowledge base drafting
- Complaint categorization
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Quality & ISO Compliance
- SOPs as documented information
- Internal audit & CAPA support
- Management review packs
Level 3 · EXPERT
Coming soon
EXPERT: AI Builder & Architect
Design, automate and govern AI across the organization.
AI champions, analysts, IT and developers.
Aligned with the exam domains of the Claude Certified Developer and Claude Certified Architect credentials — plus AI governance with ISO/IEC 42001.
Builder & architect tracks
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Team AI Workspaces
- Projects, Skills & shared knowledge
- Instruction files & versioning
- Connector permissions
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Workflow Automation & Agents
- Agentic workflows & orchestration
- Tool design & MCP integration
- Human-in-the-loop checkpoints
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Claude Code & Builders
- Claude Code configuration & workflows
- Prompting for structured output
- Context management & reliability
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AI Governance (ISO/IEC 42001)
- AI policy & risk assessment
- Evaluation & monitoring
- Aligning an AI management system with your ISO 9001 QMS
How learning works
Step by step. Not a video.
Each day is a guided lesson of about 11 short steps. Learners read one idea at a time, see it work, try it in their own AI tool and check what they learned — at their own pace, on a phone or a laptop.
- One idea per screen Short screens in simple English. No long videos to sit through.
- Practice in your own AI tool Real tasks from the learner’s own job, in ChatGPT, Claude, Gemini or Copilot.
- Quick checks as you go Small, ungraded questions confirm the key idea before moving on.
- A 15-item quiz to finish Timed, auto-graded and saved to the learner’s record.
Run it live online, on-site or hybrid with a facilitator — or self-paced. Progress saves automatically, so nobody loses their place.
Day 03 · CORE
The CORE Prompt Method
Step 3 of 12
- Welcome: the CORE Prompt Method
- Vague prompt vs. CORE prompt
- C — Context
- O — Objective
- R — Rules
- E — Examples
- Build your first CORE prompt
- Prompt makeover challenge
- Prompting in Taglish & separating your data
- Quick check
- Your go-to prompt
- Recap & Day 3 quiz
Concept
C — Context
AI can’t read your mind. Context tells it who you are, what is happening and who will read the result.
- Who you are — your role and company
- The situation and the background facts
- The audience and their reading level
Tip · Taglish is OK. Write the context the way you think. Then ask for the answer in simple English.
A preview of Day 3. Every day follows the same rhythm: learn, see it, try it, check it.
CORE: AI Foundations · curriculum
Two weeks. Ten sessions. A new way of working.
Week 1 builds the core skills: understand, prompt, verify. Week 2 makes them safe and practical: privacy, workspace setup, and real back-office work. Every day is a 2-hour, step-by-step lesson that ends with a 15-item quiz.
Tap a day to see its objectives and topics.
Week 1
Understand · prompt · verify
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Move from the “search engine” mindset to the “capable assistant you direct and check” mindset. Learn how large language models actually produce answers, what they do well, where they fail, and the 4D framework that guides the whole program.
By the end of the day you can
- Explain in plain words how an AI assistant generates an answer
- List tasks AI does well and tasks where it often fails
- Recognize common myths that keep teams from using AI well
- Describe the 4D framework: Delegation, Description, Discernment, Diligence
Topics
- How LLMs work
- Knowledge cutoff & web search
- Claude, ChatGPT, Gemini, Grok, Copilot
- Strengths & limits
- Hallucination
- Myths
- Search vs. delegate
- Automation · augmentation · agency
- The 4D framework
- Human in the loop
- Agreeableness trap
- Multimodal AI
2 hours, step by step Ends with a 15-item quiz
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Get full value from the subscription your company already pays for: what paid plans add, why usage limits exist and how to stretch them, the context window, choosing a model or mode, the feature map, and the privacy settings every employee should check.
By the end of the day you can
- Explain usage limits, tokens and the context window in plain words
- Choose a suitable model or mode for a task (speed vs. quality)
- Use the key features: files, projects, memory, web search, voice, artifacts
- Configure privacy settings and keep company work in approved accounts
Topics
- Free vs. paid plans
- Usage limits
- Tokens & context window
- Choosing a model or mode
- Feature map
- Organizing chats & projects
- Privacy controls
- Company vs. personal accounts
- Mobile & voice
- Filipino & Taglish
- Right tool for the task
- Account security
2 hours, step by step Ends with a 15-item quiz
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The signature method of the program: Context, Objective, Rules, Examples. Turn vague one-liners into prompts that produce useful first drafts — in simple English, Taglish or Filipino.
By the end of the day you can
- Write prompts with all four CORE parts: Context, Objective, Rules, Examples
- Specify audience, reading level, tone and output format
- Separate instructions from pasted source text
- Improve a weak prompt using the CORE checklist
Topics
- Why vague prompts fail
- C — Context
- O — Objective
- R — Rules
- E — Examples
- Giving the AI a role
- Audience & reading level
- Output formats
- Prompt makeovers
- Taglish prompting
- Delimiters for source text
- Product · process · performance
2 hours, step by step Ends with a 15-item quiz
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Great results come from conversations, not single prompts. Practice the Description–Discernment loop, targeted follow-ups, clarifying questions, task decomposition, few-shot examples and structured outputs you can paste into Excel.
By the end of the day you can
- Refine a draft with targeted follow-up prompts
- Break a big task into a chain of smaller prompts
- Use examples and step-by-step reasoning for consistent, checkable output
- Request tables and CSV that paste cleanly into a spreadsheet
Topics
- Description–Discernment loop
- Targeted follow-ups
- Clarifying questions
- Task decomposition
- Step-by-step reasoning
- Few-shot prompting
- Tables, CSV & JSON
- Rubrics & self-review
- Diverge then converge
- Prompt library
- Edit vs. regenerate vs. new chat
- Summary levels
2 hours, step by step Ends with a 15-item quiz
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The most important habit of the program. Learn why AI hallucinates, how its tendency to agree with you can confirm your biases, how to fact-check and number-check efficiently, and when a qualified human must review — all summarized in the 3C Check.
By the end of the day you can
- Recognize hallucinations, fake citations and invented numbers
- Avoid using AI to confirm your biases — ask for the other side
- Verify facts and numbers against primary sources
- Apply the 3C Check (Correct, Complete, Confidential) before using any output
Topics
- Hallucinations
- Fact-checking workflow
- Sycophancy & confirmation bias
- Completeness vs. objective
- Checking numbers
- Outdated information
- Bias & fairness
- Tone & cultural fit
- The 3C Check
- When experts must review
- Consistency checks
- Red flags
2 hours, step by step Ends with a 15-item quiz
Week 2
Use safely · set up · apply
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Use AI without putting customers, colleagues or the company at risk: the Data Privacy Act basics, what never to paste, anonymization, company AI policy, accountability and disclosure, fairness in people decisions, AI-powered scams and prompt injection.
By the end of the day you can
- Decide what information is safe to share with an AI tool
- Anonymize and redact data before prompting
- Apply accountability, disclosure and fairness in AI-assisted work
- Recognize AI-powered phishing, deepfakes and prompt injection
Topics
- Data Privacy Act (RA 10173)
- What never to paste
- Anonymization & redaction
- Company AI policy
- Accountability
- Transparency & disclosure
- Intellectual property
- Fairness in people decisions
- Phishing & deepfakes
- Prompt injection
- Appropriate use
- Incident reporting
2 hours, step by step Ends with a 15-item quiz
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Stop re-explaining yourself in every chat. Configure custom instructions, create Projects with instructions and knowledge files, write clean Markdown (.md) files the AI understands, and maintain them like controlled documents.
By the end of the day you can
- Write personal custom instructions that improve every chat
- Create a Project with an instructions file and knowledge files
- Write basic Markdown: headings, lists, bold and tables
- Maintain configurations with an owner, version and review date
Topics
- Persistent context
- Custom instructions
- Projects & custom assistants
- Markdown basics
- Instructions.md structure
- Knowledge files
- Team assistants
- Memory
- Skills & templates
- Connectors
- Maintenance
- File hygiene
2 hours, step by step Ends with a 15-item quiz
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Hands-on labs for the departments that benefit most: HR, Finance and Accounting, Admin, Procurement, Sales and Customer Service. Pick the right tasks to delegate, keep humans on the judgment calls, and measure the time you save.
By the end of the day you can
- Apply CORE prompts to real HR, Finance, Admin, Procurement, Sales and CS tasks
- Choose tasks to delegate using frequency, effort and risk
- Turn a Taglish draft into professional English without changing the meaning
- Measure the time saved with a simple before-and-after log
Topics
- HR
- Finance & Accounting
- Admin
- Procurement
- Sales & Marketing
- Customer Service
- Operations supervisors
- Managers
- Choosing tasks to delegate
- Measuring value
- Writing support
- Translation
2 hours, step by step Ends with a 15-item quiz
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Use AI on long documents, data and quality-system work: summaries and extraction you verify, spreadsheet help, SOPs and work instructions as ISO 9001 documented information, process maps, internal-audit checklists and root-cause analysis with 5-Why and 6M.
By the end of the day you can
- Summarize and extract from long documents — and verify against the source
- Draft SOPs and work instructions as ISO 9001 documented information (clause 7.5)
- Prepare internal-audit checklists and facilitate 5-Why / 6M root-cause analysis
- Keep AI drafts under document control: people review and approve
Topics
- Summarizing long documents
- Extracting data
- Spreadsheet help
- SOPs & work instructions (7.5)
- Process maps & turtle diagrams
- Internal audit (9.2)
- Root cause: 5-Why & 6M (10.2)
- Risk-based thinking (6.1)
- Management review (9.3)
- Competence & awareness (7.2, 7.3)
- Document control
- Customer feedback (9.1.2)
2 hours, step by step Ends with a 15-item quiz
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Bring it all together: inventory your tasks, decide what to automate or augment, design a repeatable AI workflow with human checkpoints, troubleshoot weak outputs, measure impact, and commit to a 30-day adoption plan that the post-training assessment will check.
By the end of the day you can
- Score your weekly tasks and choose the best candidates for AI
- Design a repeatable workflow: input → prompt → human review → output
- Diagnose and fix weak AI output with the troubleshooting checklist
- Commit to a measurable 30-day AI adoption plan
Topics
- Task inventory
- Automate vs. augment
- Repeatable workflows
- Troubleshooting checklist
- Refusals & limits
- Long-chat degradation
- Efficiency habits
- Measuring impact
- Team adoption
- Communicating value
- 30-day adoption plan
- What comes next
2 hours, step by step Ends with a 15-item quiz
After Day 10
Final exam · 50 items
5 questions from each training day, so every learner sits an equivalent exam.
2 weeks later
Post-training competency assessment
30 workplace scenarios plus a short survey on how AI is actually being used at work.
Assessments & grading
Assessed every day. Verified at work.
Competence isn’t attendance. Every learner is assessed three ways, and every attempt is recorded — so you know who can actually use AI well.
After every session
Daily quiz
15 items · 20 min
- 15 questions drawn at random from a 150-item pool for that day
- 20 minutes · pass mark 75%
- Up to 3 attempts — the highest score counts
- Answer review with explanations after submitting
End of the program
Final exam
50 items · 75 min
- 50 questions from a 300-item pool — 5 from each training day
- 75 minutes · pass mark 75%
- One retake allowed after 24 hours if needed
- Score, performance band and competency breakdown
2 weeks after training
Post-training assessment
30 items · 45 min
- 30 workplace scenarios from a 300-item pool — 3 per training day
- 45 minutes · pass mark 75%
- One attempt — it measures real application, not memory
- Plus a short, ungraded survey on workplace AI use
One clear grading scale
Every result shows a score, a performance band and a verdict.
Pass mark: 75%
- E Beginning Below 60%
- D Developing 60–74%
- C Satisfactory 75–79%
- B Proficient 80–89%
- A Exemplary 90–100%
Competent
Score at or above the 75% pass mark.
Not Yet Competent
Below the pass mark — the competency breakdown shows exactly what to review before a retake.
Every learner, a different paper
15 of 150
Each daily quiz draws 15 random questions from that day’s 150-item pool. The final exam and the post-training assessment draw evenly from all 10 days.
Learner 1 · 15 questions
Drawn for this learner Rest of the pool
2,100 reviewed questions are active in the bank today — 1,500 for the daily quizzes, 300 for the final exam and 300 for the post-training assessment.
Fair, secure and hard to game
Random items per learner
Every learner gets a different set of questions, drawn from large pools.
Shuffled answer options
Choices appear in a different order for each learner, so answers can’t simply be passed around.
Timer with autosave
Answers save as learners go. If the connection drops, nothing is lost.
Balanced, stratified draws
Exams draw evenly from every training day and balance difficulty — every exam is equivalent.
Per-competency breakdown
Results show strengths and gaps for each competency, C1–C7 — not just a total.
A living question bank
Every question is reviewed at least every 6 months for relevancy. Item statistics help us fix or retire items that are too easy, too hard or unclear.
ISO 9001:2015 integration
AI competence, on the record.
Core Consultancy is an ISO 9001 consultancy first. The Academy was built to produce the documented information your quality management system needs — not just a certificate of attendance.
7.2
Competence
The standard asks you to determine the competence people need, make sure they are competent, evaluate whether the training worked, and keep evidence. The Academy covers all four:
- a) Determine competence
- Seven AI competencies (C1–C7) define what “AI-competent” means in your company.
- b) Train
- 10 guided sessions, with every learner’s progress tracked day by day.
- c) Evaluate effectiveness
- The post-training assessment checks real workplace application 2 weeks later.
- d) Retain documented information
- Every attempt, score and certificate is recorded and exportable.
7.3
Awareness
People understand your AI use policy, how their work contributes, and what happens when rules aren’t followed. Day 6 covers the Data Privacy Act, accountability and disclosure — and the 3C Check makes it a daily habit.
7.5
Documented information
Records are kept on the platform, access-controlled by role and exportable to your document control system. Day 9 also teaches teams to draft SOPs with AI — while people review and approve.
What the platform records
- Training attendance and progressper learner, per day
- Every exam attemptscore, date, time taken and competency breakdown
- Effectiveness evaluationpost-training assessment and workplace usage survey
- Company gradebookevery cohort, every learner, one view for HR
- Competency matrix exportC1–C7 per employee, ready for your records
| Learner | C1 | C2 | C3 | C4 | C5 | C6 | C7 |
|---|---|---|---|---|---|---|---|
| Learner A · Admin | Exemplary | Exemplary | Proficient | Exemplary | Proficient | Exemplary | Proficient |
| Learner B · Finance | Exemplary | Proficient | Exemplary | Proficient | Exemplary | Exemplary | Exemplary |
| Learner C · HR | Proficient | Exemplary | Exemplary | Exemplary | Developing | Exemplary | Proficient |
| Learner D · Sales | Exemplary | Exemplary | Developing | Proficient | Proficient | Proficient | Exemplary |
Exemplary Proficient Developing
Claude-aligned competencies
Seven competencies. Claude-aligned.
Our competency framework follows the domain structure reported for Anthropic’s Claude Certified Associate – Foundations exam, and every competency sits in the AI Fluency 4D framework. The skills stay tool-neutral.
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C112%
AI Literacy & Tool Selection
DelegationClaude domain: CCAO-F · Product & Model Selection
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C214%
Prompting & Task Execution
DescriptionClaude domain: CCAO-F · Prompting & Task Execution
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C321%
Output Evaluation & Validation
DiscernmentClaude domain: CCAO-F · Output Evaluation & Validation
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C416%
Workflow Integration & Solution Design
DelegationClaude domain: CCAO-F · Workflow Integration & Solution Design
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C512%
Configuration & Knowledge Management
DescriptionClaude domain: CCAO-F · Configuration & Knowledge Management
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C615%
Governance, Risk & Responsible Use
DiligenceClaude domain: CCAO-F · Governance, Risk & Responsible Use
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C710%
Troubleshooting & Optimization
DiscernmentClaude domain: CCAO-F · Troubleshooting & Optimization
CORE
Aligned with the domains of the Claude Certified Associate – Foundations exam. Weights shown are the reported domain weights and may change.
EXPERT
Coming soon — aligned with the domains of the Claude Certified Developer and Architect exams.
Who it’s for
Every level. Every department.
All employees — entry, mid and professional levels. No technical background needed. Everyone learns the same core habits, then applies them to the work they actually do.
Entry level
Staff, assistants, clerks, operators
- Write clearer emails, memos and reports in simple English
- Get help with spreadsheet formulas and checklists
- Know what never to paste into an AI tool
Mid level
Supervisors, team leads, officers
- Hand routine drafting and summaries to AI — and check the result
- Build shared prompt templates and Projects for the team
- Review AI-assisted work with the 3C Check
Professional level
Managers, specialists, owners
- Prepare decision memos, analysis and KPI commentary faster
- Set AI use rules that protect client and employee data
- Measure time saved and plan the next step for the company
Built for back offices — and the whole company
Day 8 and Day 9 labs use real tasks from each function.
- HR & People Job descriptions, onboarding checklists, policy drafts, training plans
- Finance & Accounting Variance notes, report drafts, SUMIFS and XLOOKUP help, reconciliation checklists
- Admin Memos, minutes of meetings, action items, templates and schedules
- Procurement RFQ drafts, supplier comparison tables, evaluation criteria
- Sales & Marketing Product descriptions, social posts, proposals and follow-up emails
- Customer Service Reply templates, FAQ drafts, calm and clear complaint replies
- Operations & Production Shift reports, work reminders, toolbox-talk outlines
- Quality & ISO SOPs, audit checklists, 5-Why and fishbone (6M) analysis
- Managers & owners Meeting prep, decision memos with options, KPI commentary
Learners getConfidence with AI at work, a verifiable certificate and a personal 30-day AI plan.
HR & training coordinators getA live gradebook for their company’s cohorts and a competency matrix export.
Owners & management getISO 9001 competence evidence and a clear view of who can use AI well.
AI readiness check
How AI-ready is your company?
Seven quick questions. About two minutes. Get a readiness score, your level and practical next steps — no sign-up needed.
- AI Curious 0–29
- AI Starter 30–54
- AI Practitioner 55–79
- AI Ready 80–100
Question 1 of 7
Everyday useHow do most of your staff use AI today?
No sign-up. Nothing is saved unless you send an inquiry.
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Book a consultation
Let’s plan your team’s AI training.
Tell us a little about your company. We’ll recommend where to start, who to train first and the best format for your teams.
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1
Discovery call
We learn about your people, current AI tools, policies and priorities.
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2
Recommendation
A training plan: which teams first, schedule, and online, on-site or hybrid delivery.
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3
Proposal
Clear scope and pricing for your headcount — with the ISO 9001 records included.
Prefer to talk now?
FAQ
Questions owners and HR managers ask us.
Can’t find your answer? Send us your question or email info@coreconsultancy.io.
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Everyone in the company — entry-level staff, supervisors, managers and professionals. No technical background is needed. Lessons use simple English, and every day includes practice on tasks from the learner’s own job.
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No. The free versions of Claude, ChatGPT, Gemini or Copilot are enough to complete the program. If your company already pays for plans, Days 2 and 7 show how to get much more out of them — usage limits, Projects, custom instructions and instruction files.
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The skills are tool-neutral: the CORE Prompt Method, the 3C Check and the 4D framework work in Claude, ChatGPT, Gemini, Microsoft Copilot and Grok. Learners practice in whichever approved tool your company uses, and lessons show where features differ — for example Projects, Gems and custom GPTs.
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Simple, clear English. Taglish is welcome — in class and in prompts. Day 3 shows how to prompt in Taglish or Filipino, get professional English output and check that the meaning didn’t change.
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After we agree the plan, your HR team receives an enrollment code for each batch. Employees create their Academy account with that code (“Have an enrollment code?” at the top of this page), then log in to follow the lessons, take the quizzes and see their own records. HR coordinators get a read-only view of their company’s gradebook.
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All three. Sessions can run live online, on-site at your office, or as a mix. Learners follow the same step-by-step lessons on the Academy platform either way, so progress and results are recorded the same way.
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Each day ends with a 15-item quiz. The final exam has 50 items, 5 from each day. 2 weeks after training, a 30-item scenario assessment checks how people apply AI at work. Every learner gets different questions from large pools, answer options are shuffled, exams are timed with autosave, and difficulty is balanced so every exam is equivalent.
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Daily quizzes can be taken up to 3 times, and the highest score counts. The final exam allows one retake after 24 hours. Anyone below the 75% pass mark is marked “Not Yet Competent” — not “failed” — and their competency breakdown shows exactly what to review. We agree a refresher plan with your HR team.
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Clause 7.2 asks you to determine competence, train, evaluate the effectiveness of training and keep documented information as evidence. The Academy does all four: a defined competency framework (C1–C7), recorded training progress, a post-training effectiveness assessment and exportable records — including a competency matrix you can keep in IMPAQMS.
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Learner accounts hold only what training records need — name, work email, job title or department, and assessment results. Records are visible only to the learner, your authorized HR coordinators and our facilitators, and we handle personal information in line with the Data Privacy Act of 2012 (RA 10173). Day 6 also teaches your people what never to paste into an AI tool.
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No. Core AI Academy is an independent program and is not affiliated with or endorsed by Anthropic. Our competencies are aligned with the domain structure of Anthropic’s Claude Certified Associate – Foundations exam and the AI Fluency framework, so graduates build a strong foundation if they choose to pursue Anthropic’s own certification, which is administered only by Anthropic.
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Yes. Practice tasks, examples and the Day 8–9 labs can be tailored to your industry and departments — manufacturing, services, retail, logistics and more — and to your company’s AI policy and approved tools.
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It depends on your headcount, the delivery format (online, on-site or hybrid) and any customization. Send us an inquiry and we’ll prepare a proposal for your team.
Have a certificate to check? Verify a Core AI Academy certificate.
Your people already have AI. Teach them to use it well.
Two weeks of guided practice, real assessments and records you can show an auditor. Start with a conversation.