People do not know where to start
The blank chat box creates uncertainty or random experimentation instead of useful work.
The first AI habit should be a responsible one
Build a repeatable work method before collecting prompt tricks.
Copilot Chat Applied Learning gives people a safe first path through task framing, context, output design, verification, conversation management, and reusable practice. The goal is confidence grounded in responsible behavior, not novelty.
Prompts are copied without context
Learners reuse formulas without understanding purpose, sources, constraints, output, or verification.
Trust is all or nothing
Users either accept AI output too quickly or avoid it entirely because they lack a practical inspection method.
Complete curriculum
Follow the work from foundation to application.
Every module creates a usable artifact and prepares the next decision. This is a working program, not a list of product features.
Frame the work
State the purpose, audience, source context, constraints, and expected result before asking for output.
- Task, goal, audience, and definition of done
- Relevant source context and boundaries
- Format, tone, length, and quality expectations
APPLIED PRACTICE
Repair a vague prompt and compare the effect of clear purpose, context, and output requirements.
Work with approved context
Choose what information belongs in the conversation and recognize when the answer lacks sufficient evidence.
- Approved sources and sensitive-data boundaries
- Work context, web context, and source selection
- Missing evidence, assumptions, and unsupported claims
APPLIED PRACTICE
Select the minimum appropriate context for a staged business task and reject unsafe or irrelevant inputs.
Inspect and improve
Verify important claims, refine the output, compare alternatives, and keep the person accountable for the result.
- Citation and source checks
- Fabrication, bias, over-reliance, and human review
- Refinement, comparison, and consequential-decision boundaries
APPLIED PRACTICE
Inspect a confident but flawed draft, identify the risks, and produce a reviewed version with visible assumptions.
Reuse the pattern
Turn successful interaction into a responsible repeatable practice without assuming every task should be automated.
- Saved prompts and shared patterns
- Conversation organization and deletion
- When to continue with Chat, training, an agent, a workflow, or a human process
APPLIED PRACTICE
Build one reusable prompt card for a recurring role task and define its verification owner.
Program fit
Know who this is for before scheduling.
Choose Copilot Chat when learners need a practical, low-friction first experience that turns an AI conversation into a controlled work pattern.
Use this program when
- New Copilot Chat users
- Broad employee cohorts beginning responsible AI use
- Teams that need a shared prompting and verification method
- Organizations preparing learners for deeper role training
This program is not
- ×Advanced agent development
- ×A substitute for Copilot readiness or governance
- ×Use of confidential production data in class
Interactive program preview
Make prompting a repeatable work method.
Move through the working lenses to see how the live session changes a broad AI conversation into an accountable decision.
Purpose
State the task and intended audience
PurposeContextOutputVerify
The live session applies this lens to the customer's own decision or workflow.Delivery experience
See what happens before, during, and after.
The exact schedule is confirmed around the private cohort. The quality spine remains consistent: intake, current source review, applied learning, safe practice, artifacts, follow-up, and an accountable next action.
- 0100:00
Responsible starting point
Understand what Copilot Chat can support, what context changes, and what remains human-owned.
- 0200:25
Prompt and context practice
Frame tasks, select sources, set constraints, and design useful output.
- 0301:05
Verification lab
Find assumptions, unsupported claims, sensitive-data risks, and quality problems in staged responses.
- 0401:40
Reusable work pattern
Create a role-relevant prompt card and choose the next responsible learning or solution path.
Applied scenarios
Practice the judgment behind the capability.
Scenarios use fictional, sanitized, or explicitly approved information. The learner sees the decision, the control, the human checkpoint, and the artifact that should remain after the conversation.
Summarize a policy update
Use approved source text, identify changes, expose uncertainty, and prepare employee communication for human review.
Turn notes into decision questions
Organize staged evidence, identify missing information, and draft questions rather than inventing conclusions.
Create and compare message options
Control audience, tone, length, evidence, and review while preserving the accountable author.
What the buyer receives
The session produces more than attendance.
Temen leaves the learner and buyer with useful artifacts, visible next actions, and a clear boundary between training, implementation, support, and further project work.
Prompt framework
A reusable task, context, output, and verification method for everyday work.
Practice cards
Staged drafting, summary, brainstorming, analysis, and question-generation exercises.
Responsible-use checklist
A visible check for sensitive information, evidence, assumptions, accuracy, and human authority.
Next-path recommendation
Guidance on whether the cohort should continue with Foundations, role-based Academy training, an agent, workflow, or governance work.
Program facts
AudiencePeople beginning with Microsoft 365 Copilot Chat and responsible enterprise AI useDurationApproximately two hoursDeliveryGuided virtual learning with reusable practiceCommercial unitPer private cohort
Download the complete program guide- Guided practice
- Prompt framework
- Reusable practice cards
- Responsible-use checklist
- Access to Microsoft 365 Copilot Chat
- No prior prompting experience required
Program questions
Resolve the buying questions before scheduling.
Temen confirms the offer, audience, capacity, delivery, accessibility needs, instructor availability, and commercial terms before the program is activated.
Is this self-paced?
The Temen offer is guided virtual learning with reusable practice. Delivery details are confirmed during assisted scheduling.
Do learners need advanced AI knowledge?
No. The program is designed as a practical starting point.
Will the course teach secret prompt formulas?
No. It teaches a durable method for purpose, context, output, verification, and accountable reuse.
Can learners bring real work?
They may bring non-sensitive patterns or explicitly approved sanitized material. Secrets and regulated or private data do not belong in standard training exercises.
Private enrollment and schedulingChoose the program.
Choose the program.
Schedule it around the cohort.
Published Academy pricing now identifies the learner or cohort unit clearly. Temen confirms availability, delivery policy, tax, and the final fulfillment path before direct payment is enabled. Enrollment collects attendees, roles, time zone, preferred dates, and priority workflows without asking for tenant secrets.
- 01Choose
Select the priced course, learner quantity, or private cohort.
- 02Confirm
Review capacity, volume tier, instructor, schedule, and commercial terms.
- 03Enroll
Provide learner and scheduling context securely.
- 04Learn
Receive prerequisites, live instruction, resources, and follow-up.
Temen Copilot Academy
Build capability people can use after the session ends.
Bring Temen the roles, business goals, current Microsoft 365 experience, and the condition that needs to change.