AI Generalist Career Accelerator | 45-Day Program Playbook

Program Playbook · Master Overview

Pingmedia Learning · 100% Offline · Beginner Friendly

AI Generalist
Career Accelerator

A structured 45-day program that helps non-technical learners use AI for research, professional communication, content, data, workflows, AI agents, presentations, video, and guided website development.

THINK→ PROMPT→ CONTEXT→ CREATE→ AUTOMATE→ BUILD

45

One-hour, hands-on classes delivered across nine weeks

15

Maximum learners per batch for close trainer support

₹15K

Program fee with guided projects and portfolio review

Audience

Mixed Beginner Cohort

Students, working professionals, and business owners learn the same concepts through role-specific assignments.

Delivery

Hinglish Instruction

Concepts explained in Hinglish; professional assignments and portfolio outputs produced primarily in English.

Requirement

Laptop Compulsory

Every learner builds, tests, documents, and presents work independently on a personal laptop.

Outcome

Portfolio + Capstone

Graduation requires a website, workflow/agent, presentation, AI video, data project, and final case study.

Section 01 · Strategic Positioning

What This Program Is — and Is Not

The program is positioned as a practical AI career and workplace accelerator. It is not a tool-tour, a coding bootcamp, or a promise of instant AI mastery.

Program Promise

Learn AI by completing real professional tasks

Learners research, write, analyse, design, automate, and build through simulated company briefs. Every module ends with a visible output.

Market Position

AI skills for jobs, work, freelancing, and business

The course remains broader than digital marketing and more practical than a general awareness workshop.

Positioning area	What Pingmedia will communicate	What Pingmedia will avoid
Core identity	AI-enabled professional foundation for non-technical learners.	“Become an AI expert in 45 days.”
Learning model	45 guided classes, weekly projects, trainer feedback, capstone demonstration.	Long lectures or daily introduction of unrelated tools.
Career promise	Resume support, interview preparation, portfolio building, placement assistance.	Guaranteed employment or unrealistic salary claims.
Technical depth	No-code and AI-assisted building with guided troubleshooting.	Python, model training, APIs, full-stack engineering, or advanced agent frameworks.
Business value	Research, communication, content, analysis, lead workflows, and websites.	Fully autonomous systems without human review.

“Don’t just learn AI tools. Learn how to work with AI — and prove it through a professional portfolio.”

RECOMMENDED MASTER MESSAGE

Section 02 · Participant Profile

Admissions, Expectations & Readiness

A small-batch, beginner-friendly program works only when learner expectations, device readiness, attendance, and practice requirements are made clear before admission.

80%

Minimum attendance required for certification

2–3h

Recommended weekly practice outside class

1:15

Maximum trainer-to-learner classroom ratio

0

Coding experience required at admission

Admission requirement	Minimum standard	Why it matters
Laptop	Personal laptop with current browser, working audio, and charger.	Every class contains an individual build or practice activity.
Digital basics	Comfortable using email, browser tabs, Google Drive, file uploads, and basic documents.	The program is non-technical, but not mobile-only.
Accounts	Active Google account and willingness to create free accounts on selected AI platforms.	Needed for course projects and workflow connections.
Language	Comfortable learning in Hinglish and producing professional outputs in English.	Matches local learning comfort and employment requirements.
Commitment	Attend five days per week and submit weekly portfolio outputs.	Skill development depends on repetition and feedback.

Admission filter: Learners seeking only certificates, mobile-only participation, or guaranteed placement should be counselled clearly before enrolment.

Section 03 · Learning Architecture

The 9-Week Capability Journey

The sequence moves from AI literacy to controlled professional application. Each week adds one capability while reusing skills learned earlier.

WEEK 01

AI Foundations

Tool selection, hallucinations, verification, privacy, and responsible use.

WEEK 02

Prompt Engineering

TASK framework, examples, constraints, iteration, and reusable prompt templates.

WEEK 03

Context Engineering

Projects, source packs, research, documents, and knowledge assistants.

WEEK 04

Workplace & Data

Emails, reports, SOPs, spreadsheets, analysis, resumes, and LinkedIn.

WEEK 05

Images & Presentations

Visual prompting, image editing, deck thinking, Gamma, and Canva.

WEEK 06

AI Video

Storyboards, Higgsfield, Seedance, continuity, editing, and campaign output.

WEEK 07

Workflows & Agents

Process mapping, Make, AI-enabled workflows, agent design, and guardrails.

WEEK 08

AI Website Building

Product brief, Lovable build, forms, testing, Cursor-guided improvement, publish.

WEEK 09

Career & Capstone

Portfolio, freelancing offer, mock interview, build sprint, demo day.

Learning Principle

Every concept must end in an observable professional output.

The trainer does not move forward because the tool demo is complete. The trainer moves forward when learners can repeat the task, explain the choices, identify errors, and document the final result.

Section 04 · Delivery System

One-Hour Class Trainer Play

A consistent class rhythm reduces learner anxiety and protects hands-on time. Theory should remain short and directly connected to the day’s output.

05

Recap & Retrieval

Quick quiz, previous assignment check, and one learner explanation in their own words.

MIN 01–05

10

Concept in Hinglish

Explain the principle, decision rule, common mistake, and professional use case.

MIN 06–15

15

Live Trainer Demonstration

Build the task once from a blank screen while narrating choices and verification steps.

MIN 16–30

25

Individual Hands-On Build

Learners repeat independently using role-specific prompts or simulated company data.

MIN 31–55

05

Review & Submission Brief

Show quality checklist, submission location, deadline, and what will be reviewed next class.

MIN 56–60

Trainer Rule

Show from a blank screen

Avoid polished demos that hide the actual decisions and errors learners must understand.

Practice Rule

One learner, one output

Pair work can support discussion, but graded output must remain individually owned.

Feedback Rule

Review against a rubric

Feedback should identify accuracy, usefulness, structure, verification, and presentation quality.

Week 01 · Days 01–05

AI Foundations & Responsible Use

Goal: learners understand what generative AI can do, where it fails, how to select a tool, and why human verification remains mandatory.

DAY 01

60 MIN

Orientation & Baseline Skill Check

FoundationOUTPUT 01

Program outcomes, portfolio system, tool-account setup, folder structure, and an unguided baseline task.

Goal mappingAccount checklistBaseline sample

DAY 02

60 MIN

Understanding Generative AI

Foundation

AI, LLMs, multimodal tools, prediction, context, and why fluent output is not always correct.

TextImageVideoAudio

DAY 03

60 MIN

Choosing the Right AI Tool

Foundation

Compare general chat, research, creative, spreadsheet, automation, and building tools through one shared problem.

QualitySpeedPrivacyCost

DAY 04

60 MIN

Verification, Privacy & Copyright

Foundation

Hallucinations, confidential data, source checks, copyright, deepfakes, disclosure, and human approval.

Fact checkPrivacy testDisclosure note

DAY 05

60 MIN

Foundation Challenge

AssessmentPORTFOLIO

Select a suitable tool, produce an output, verify important claims, and explain the improvement process.

Tool-selection sheetError logFinal output

Weekly deliverable: AI Tool Selection Sheet + corrected output + responsible-use checklist.

Week 02 · Days 06–10

Prompt Engineering & TASK Framework

Goal: learners stop using vague one-line requests and begin designing structured prompts that can be reused, tested, and improved.

DAY 06

60 MIN

TASK Prompt Framework

Prompt

Task, Audience & aim, Sources & specifics, Kind of output. Rewrite weak prompts using the framework.

DAY 07

60 MIN

Role, Audience & Background

Prompt

Assign useful expertise, define the reader, add business context, and avoid theatrical or unnecessary personas.

DAY 08

60 MIN

Examples, Constraints & Formats

Prompt

Few-shot examples, positive and negative constraints, tables, checklists, templates, tone, and word limits.

DAY 09

60 MIN

Iteration & Quality Feedback Loops

Prompt

Critique the first answer, use a rubric, compare alternatives, diagnose misunderstanding, and produce a final version.

DAY 10

60 MIN

Personal Prompt Library

AssessmentPORTFOLIO

Create ten tested templates for research, writing, data, presentations, images, video, interviews, and planning.

Quality Check

A prompt is not complete until it is tested

Each template must include purpose, required inputs, sample use, expected output, and known limitations.

Trainer Focus

Teach diagnosis, not magic wording

Learners should understand why the output failed and which part of the prompt or source context must change.

Week 03 · Days 11–15

Context Engineering & AI Research

Goal: learners understand that professional AI work depends on organised source material, instructions, examples, decisions, and quality rules — not only a clever prompt.

DAY 11

60 MIN

Prompt vs Context Engineering

Context

Goals, source files, history, decisions, vocabulary, examples, constraints, quality criteria, and context-window discipline.

DAY 12

60 MIN

Claude & ChatGPT Projects

Context

Create a role-specific project workspace with project instructions, knowledge files, naming system, and update rules.

DAY 13

60 MIN

Working with PDFs & Documents

Context

Summarise, compare, extract, locate contradictions, convert into FAQs, and distinguish source facts from interpretation.

DAY 14

60 MIN

Research & Source Verification

Research

Define a research question, locate primary sources, verify dates, compare claims, and build a source-backed brief.

DAY 15

60 MIN

Build a Knowledge Assistant

AssessmentPORTFOLIO

Create a source-based assistant for a simulated company, professional role, or business knowledgebase.

Recommended project structure: Overview → approved facts → FAQs → process documents → examples → tone rules → prohibited claims → update log.

Week 04 · Days 16–20

Workplace Productivity, Data & Career Skills

Goal: convert rough information into professional communication, structured documents, reliable spreadsheet insights, and stronger career assets.

DAY 16

60 MIN

Professional Emails & Messages

Workplace

Client responses, manager updates, follow-ups, complaints, tone correction, and Hinglish-to-professional-English conversion.

DAY 17

60 MIN

Reports, SOPs & Meeting Productivity

Workplace

Agenda, notes, action items, executive summary, proposal structure, and process documentation.

DAY 18

60 MIN

AI-Assisted Spreadsheet Cleaning

Data

Duplicates, categories, inconsistent formats, date/text issues, formula generation, and validation.

DAY 19

60 MIN

Data Analysis & Management Insights

Data

Ask useful questions, compare segments, identify trends, create charts, and avoid unsupported conclusions.

DAY 20

60 MIN

Resume, LinkedIn & Job Description Analysis

AssessmentPORTFOLIO

Tailor achievements, identify skill gaps, improve LinkedIn positioning, and generate interview preparation without fabricating experience.

Student Output

Resume + application pack

Target-role research, tailored resume, LinkedIn summary, and interview question bank.

Professional Output

Report + SOP pack

Meeting action report, process SOP, performance analysis, and management summary.

Owner Output

Founder + business pack

Founder profile, business capability note, lead analysis, and customer communication templates.

Week 05 · Days 21–25

AI Images & Presentation Generation

Goal: learners plan visual communication before generating assets and can refine AI output into a coherent, professional presentation.

DAY 21

60 MIN

Visual Prompt Engineering

Create

Subject, composition, environment, lighting, camera, style, realism, aspect ratio, references, and negative instructions.

DAY 22

60 MIN

Image Generation for Professional Use

Create

Campaign visuals, presentation images, profile visuals, product/service concepts, and regeneration decisions.

DAY 23

60 MIN

Image Editing & Consistency

Create

Background replacement, object removal, brand colour consistency, reference control, ethical editing, and disclosure.

DAY 24

60 MIN

Presentation Thinking Before Tools

PPT

Audience, objective, story arc, one idea per slide, evidence, visual hierarchy, conclusion, and speaker notes.

DAY 25

60 MIN

Build & Refine with Gamma + Canva

AssessmentPORTFOLIO

Generate a first deck, replace generic visuals, improve hierarchy, proofread, export, and deliver a short presentation.

Weekly deliverables: coordinated 3-image set + 8–10 slide presentation + presentation prompt and revision log.

Week 06 · Days 26–30

AI Video with Higgsfield & Seedance

Goal: learners move from isolated generated clips to a planned short-form video with a clear message, storyboard, controlled prompts, and continuity review.

DAY 26

60 MIN

Concept, Script & Storyboard

Video

Objective, audience, hook, shot list, camera movement, timing, references, and continuity plan.

DAY 27

60 MIN

Higgsfield Fundamentals

Video

Text-to-video, image-to-video, model selection, movement control, first/last frame thinking, and prompt refinement.

DAY 28

60 MIN

Seedance Generation & Continuity

Video

Reference-led generation, connected shots, subject consistency, camera prompts, movement, and physical-error review.

DAY 29

60 MIN

Assemble the Complete Short Video

Video

Select usable clips, add voiceover/music/captions, complete basic edit, and check copyright and disclosure.

DAY 30

60 MIN

Individual AI Video Challenge

AssessmentPORTFOLIO

Produce a 10–15 second campaign or explainer video from a simulated company brief.

Required Evidence

Prompt sheet

Final prompts, references used, failed generations, and what changed between versions.

Quality Standard

Message before spectacle

The video must communicate one clear idea; visual novelty alone does not qualify as success.

Credit Control

Fixed graded allowance

Pingmedia provides a defined project allowance; additional experimentation is learner-funded.

Week 07 · Days 31–35

AI Workflows, Make & Controlled Agents

Goal: learners map repetitive work, build one reliable AI-assisted workflow, and design an agent with clear permissions, knowledge, approval points, and failure handling.

DAY 31

60 MIN

Automation Thinking & Process Mapping

Workflow

Trigger, condition, action, input, output, exceptions, approval, and tasks that should remain manual.

DAY 32

60 MIN

Make Fundamentals

Workflow

Scenarios, modules, triggers, actions, field mapping, filters, routers, testing, and execution history.

DAY 33

60 MIN

Build an AI-Enabled Enquiry Workflow

BuildPORTFOLIO

Form → Sheet → AI categorisation → draft response → human review → approved output.

DAY 34

60 MIN

AI Agent Design

Agent

Goal, instructions, knowledge, tools, memory, permissions, guardrails, approvals, test cases, and failure modes.

DAY 35

60 MIN

Build a Controlled Agent

AssessmentPORTFOLIO

Job assistant, meeting assistant, customer enquiry assistant, lead assistant, or content planning assistant.

Mandatory guardrail: No workflow or agent may send external communication, change records, or trigger paid activity without an explicit approval point during the beginner program.

Week 08 · Days 36–40

AI Website Development with Lovable + Cursor

Goal: every learner plans, builds, improves, tests, and publishes one guided website mini-project without requiring prior coding experience.

DAY 36

60 MIN

Website Planning & Product Brief

Build

Objective, user, sitemap, required sections, content, user journey, CTA, mobile-first needs, and acceptance criteria.

DAY 37

60 MIN

Build Version 1 in Lovable

Build

Generate from a detailed brief, review page structure, rewrite generic content, and iterate visually.

DAY 38

60 MIN

Forms, Responsiveness & Functionality

Build

Navigation, enquiry form, mobile layout, interactions, error messages, images, content hierarchy, and basic accessibility.

DAY 39

60 MIN

Cursor AI for Guided Improvement

Cursor

Open project, understand files, locate the relevant component, make supervised changes, fix basic bugs, and review diffs.

DAY 40

60 MIN

Testing, Publishing & Demo

AssessmentPORTFOLIO

Desktop/mobile tests, links, forms, proofreading, visual consistency, publishing, and project explanation.

Participant type	Guided website project	Minimum required features
Student / Job Seeker	Portfolio and career profile website	About, skills, projects, resume CTA, contact form
Working Professional	Professional profile or resource website	Expertise, work samples, resource section, enquiry form
Business Owner	Business landing page	Offer, proof, services, FAQ, lead form, contact CTA

Week 09 · Days 41–45

Capstone, Career Readiness & Demo Day

Goal: convert individual exercises into one credible case study that demonstrates problem definition, tool choice, context, workflow, verification, professional output, and communication.

DAY 41

60 MIN

Capstone Planning & Approval

Capstone

Problem statement, audience, tools, context pack, expected output, workflow, human review, and success criteria.

DAY 42

60 MIN

Capstone Build Sprint

Capstone

Trainer-guided build, troubleshooting, test cases, documentation, and evidence capture.

DAY 43

60 MIN

Portfolio & Freelancing Preparation

Career

Case-study writing, before/after evidence, niche selection, beginner service offer, proposal, and discovery questions.

DAY 44

60 MIN

Mock Interview & Presentation Practice

Career

STAR responses, project explanation, practical interview questions, client-pitch practice, and capstone rehearsal.

DAY 45

60 MIN

Demo Day & Final Viva

FinalCERTIFICATION

Present the problem, context, tools, prompts, workflow, final output, errors, human review, and value created.

A learner graduates only when they can build the work, explain the work, verify the work, and present the work.

PINGMEDIA PROGRAM STANDARD

Section 05 · Tool Stack

Core Tools & Depth of Learning

The curriculum is organised by professional outcomes. Tools are selected as delivery vehicles and may be replaced when interfaces, pricing, or availability change.

CL

Claude

Prompting, context engineering, documents, research briefs, professional writing, and project workspaces.

CORE MASTERY · WEEKS 1–4 & 9

CG

ChatGPT

General productivity, file analysis, structured outputs, images, spreadsheet analysis, and comparison exercises.

CORE MASTERY · WEEKS 1–5

MK

Make

Visual automation, AI-enabled workflows, filters, routers, testing, approvals, and execution review.

CORE MASTERY · WEEK 7

LV

Lovable

Guided website planning, natural-language building, iteration, forms, responsiveness, and publishing.

CORE MASTERY · WEEK 8

CU

Cursor AI

Codebase explanation, supervised edits, basic debugging, file navigation, and change review.

GUIDED FOUNDATION · WEEK 8

HF

Higgsfield AI

Short-form AI video creation, image-to-video experimentation, movement direction, and model comparison.

GUIDED FOUNDATION · WEEK 6

SD

Seedance

Reference-led video generation, connected shots, motion, camera direction, and continuity practice.

GUIDED FOUNDATION · WEEK 6

GM

Gamma

Rapid presentation generation from outlines and documents before professional refinement.

PRACTICAL USE · WEEK 5

CA

Canva

Visual refinement, presentation design, content assets, basic editing, and portfolio packaging.

PRACTICAL USE · WEEKS 4–6 & 9

GS

Google Workspace / Excel

Documents, Forms, Sheets, Gmail, Drive, spreadsheet practice, and workflow inputs.

SUPPORTING STACK · THROUGHOUT

Tool substitution rule: If a named tool becomes unavailable or too expensive, replace it with a comparable tool while preserving the same learning objective, assignment, and quality rubric.

Section 06 · Mixed Cohort Design

One Concept, Three Applications

Students, professionals, and business owners learn together. The trainer keeps the concept common and changes the practice brief, data, audience, and expected outcome.

STUDENT

Career and employability application

Employer research, tailored resume, interview kit, portfolio website, job application tracker, and career assistant.

PROFESSIONAL

Productivity and career-growth application

Meeting system, SOP, management report, performance analysis, professional profile website, and task assistant.

OWNER

Business growth and operational application

Customer research, sales deck, promotional video, lead analysis, business website, and enquiry workflow.

Shared skill	Student brief	Professional brief	Business-owner brief
Research	Employer and target-role analysis	Project or industry brief	Competitor and customer brief
Writing	Application and interview communication	Report, SOP, manager update	Sales, customer, vendor communication
Data	Placement or job dataset	Productivity or performance dataset	Lead, sales, or customer dataset
Presentation	Career portfolio	Management proposal	Sales or growth deck
Workflow	Application tracker	Meeting/action workflow	Lead enquiry and follow-up
Website	Portfolio site	Professional profile site	Business landing page

Section 07 · Portfolio System

Required Graduation Evidence

The portfolio is not an optional collection of screenshots. It is a structured record of the learner’s problem-solving process, outputs, verification, and reflection.

01

AI Tool Selection Report

Problem, selected tool, comparison, limitations, verification, final result.

02

Prompt Library

Ten tested prompt templates with inputs, examples, and known limitations.

03

Context-Engineered Workspace

Instructions, source files, approved facts, FAQs, examples, and update log.

04

Professional Communication Pack

Emails, report, SOP, executive summary, and role-specific writing output.

05

Spreadsheet Insight Project

Cleaned data, formulas, charts, insights, caveats, and management summary.

06

AI Image Set

Three coordinated visuals with prompt sheet and consistency review.

07

Professional Presentation

8–10 slides, speaking notes, evidence, and revision log.

08

Short AI Video

10–15 second output, storyboard, prompts, references, and edit notes.

09

Workflow + Agent

Process map, working flow, agent specification, guardrails, and tests.

10

Published Website

Live URL, brief, screenshots, tests, improvements, and explanation.

11

Career / Freelance Pack

Resume or profile, service offer, proposal, discovery questionnaire.

12 · FINAL

Capstone Case Study

Complete problem-to-outcome story with demo, reflection, and human-review model.

Portfolio format: Shared Drive folder + published website + one PDF case-study index. File naming and version history are mandatory.

Section 08 · Assessment

Certification Must Reflect Demonstrated Skill

Attendance supports learning, but certification is based on completed work, practical ability, responsible use, and the learner’s capacity to explain decisions.

15%

Daily practical work

20%

Weekly portfolio submissions

15%

Prompt + context practical

15%

Workflow + agent project

15%

Website mini-project

15%

Final capstone

5%

Presentation and viva

60%

Minimum overall passing score

Certification requirement	Standard	Action if incomplete
Attendance	Minimum 80%	Make-up plan before Demo Day; no automatic waiver
Mandatory projects	Prompt/context, data, video, workflow/agent, website, capstone	Certificate held until resubmission
Responsible AI test	Pass privacy, verification, copyright, and human-approval scenarios	Mandatory reassessment
Viva	Explain tool choice, context, errors, verification, and business/career value	One structured second attempt
Portfolio integrity	Individual work with source and AI-use disclosure	Plagiarised or copied work rejected

Certificate title: Certificate in AI Generalist and Workplace Skills — Pingmedia Learning.

Section 09 · Capstone Tracks

Three Final System Projects

Each capstone combines multiple course capabilities. Learners choose a track aligned with their immediate career, workplace, or business goals.

TRACK A

AI Career System

Target-role research, tailored resume, company knowledge workspace, interview kit, application tracker, portfolio website, and final presentation.

BEST FOR STUDENTS / JOB SEEKERS

TRACK B

AI Workplace Productivity System

Meeting assistant, report or SOP generator, spreadsheet analysis, task workflow, professional profile website, and management presentation.

BEST FOR WORKING PROFESSIONALS

TRACK C

AI Business Growth System

Business knowledge workspace, campaign images, short video, sales deck, lead website, enquiry classification, and response workflow.

BEST FOR BUSINESS OWNERS

Capstone checkpoint	Required evidence	Trainer approval question
Problem definition	User, pain point, current process, desired outcome	Is the problem specific and useful?
Context pack	Sources, rules, examples, constraints, approved facts	Can another reviewer understand the operating context?
System design	Tools, workflow, inputs, outputs, approval points	Is the system appropriate for a beginner project?
Testing	Normal test, bad-input test, missing-data test, failure notes	Does the learner understand limitations?
Value	Time saved, quality improved, clarity created, or conversion supported	Is the value credible and not exaggerated?
Presentation	Live demo, slides, portfolio case study, viva	Can the learner explain without jargon?

Section 10 · Career & Freelancing Support

Turn Skills into Opportunities

Career support teaches learners how to present practical evidence and apply strategically. Freelancing guidance focuses on defined beginner services, not vague “AI expert” positioning.

Placement Assistance

Resume and LinkedIn review aligned to a realistic target role.
Job-description matching and skill-gap identification.
Portfolio quality review and project-order recommendation.
Mock interview with AI-related practical questions.
Project presentation and demonstration practice.
Relevant opportunity sharing and interview feedback support.

Freelancing Guidance

Select one narrow service based on completed portfolio work.
Define scope, deliverables, timeline, revision limits, and exclusions.
Create a sample, proposal, discovery questionnaire, and case study.
Learn client communication, expectation setting, and quality checks.
Price based on effort, tool credits, complexity, risk, and value.
Avoid income guarantees and services beyond demonstrated ability.

Beginner service	Minimum portfolio proof	Important boundary
AI-assisted presentation creation	One strong 8–10 slide deck and revision log	Client provides verified facts and brand assets
Research and report preparation	Source-backed research brief	No medical, legal, or financial authority claims
Resume / LinkedIn optimisation	Career pack and job-description analysis	Never fabricate experience or achievements
AI image / short video package	Image set and 10–15 second video	Credit, copyright, and revision limits defined
Basic website development	Published website with test checklist	No complex backend or security claims
Lead workflow setup	Working approved enquiry workflow	Human review remains in the process

Required disclosure: Placement assistance is provided; employment or placement is not guaranteed.

Section 11 · Trainer Operating Playbook

Prepare, Deliver, Review & Improve

The quality of a tool-based course depends on operational discipline. Every class requires tested accounts, clean files, realistic examples, fallback options, and a clear submission standard.

Stage	Trainer action	Required evidence
Before each week	Test all tools, credits, links, files, prompts, workflow connections, and fallback options.	Weekly readiness checklist
Before each class	Open clean demo accounts, duplicate student files, prepare three audience briefs, reset demo state.	Class folder + blank starter file
During demonstration	Narrate decisions, mistakes, checks, and why one tool or method was selected.	Trainer demo recording or notes
During practice	Observe learner screens, log common errors, avoid taking over the learner’s mouse unless necessary.	Error log and support notes
After class	Review sample submissions, publish corrections, update FAQs, and flag learners needing intervention.	Daily review note
After each week	Score portfolio outputs, conduct short feedback clinic, and update next-week pacing.	Rubric scores + action plan
After batch	Review completion, tool costs, incidents, learner feedback, outcomes, and curriculum changes.	Batch retrospective

Primary Trainer

Concept + live build

Owns teaching quality, pace, examples, and weekly assessment.

Lab Support

Accounts + troubleshooting

Handles login issues, device setup, files, connections, and credit monitoring.

Career Reviewer

Portfolio + interview

Reviews resume, case studies, presentations, and mock interview performance.

Recommended staffing: One lead trainer can manage 15 learners when a lab-support person is available during workflow, video, and website classes.

Section 12 · Infrastructure & Accounts

Lab Readiness, Tool Access & Credit Policy

The ₹15,000 fee can support a premium learning experience only when paid-tool credits, accounts, Wi-Fi, file sharing, and backup plans are controlled deliberately.

Area	Recommended operating model	Control
Laptop	Personal laptop compulsory; charger and current browser required.	Device readiness check before Day 1
Internet	Primary high-speed Wi-Fi plus backup hotspot/router.	Test before video and website weeks
Accounts	Learners use personal accounts; trainer accounts used for demos and selected premium features.	No shared passwords
Course files	One batch Drive with read-only master files and individual learner folders.	Naming and access policy
Paid credits	Fixed allowance for mandatory graded image/video/build tasks.	Usage sheet + approval for extra spend
Automation	Trainer-controlled templates; learners connect their own Google accounts where practical.	Remove access and rotate keys after batch
Fallback	Every premium exercise has a free or trainer-demo alternative.	Fallback documented in lesson plan
Data	Only simulated company data and learner-owned files.	No live client or confidential data

Included

Mandatory project allowance

Credits needed to complete defined graded tasks within reasonable attempts.

Not Included

Unlimited experimentation

Additional generations, personal commercial projects, and optional premium subscriptions.

Best Practice

Teach cost awareness

Learners document credits used, failed attempts, and how planning can reduce waste.

Section 13 · Quality & Risk Controls

Protect the Learning Outcome

The biggest risks are not technical complexity alone. Tool overload, inconsistent practice, weak review, credit waste, overpromising, and copied portfolio work can reduce program credibility.

Risk	Early warning sign	Control action
Tool overload	Learners remember names but cannot repeat tasks	Limit mastery tools; use alternatives only for comparison
Mixed-cohort mismatch	Owner or professional finds student task irrelevant	Prepare three application briefs for role-sensitive lessons
Weak practice	Trainer demo takes most of the hour	Protect 25 minutes of individual build time
Copied portfolio work	Identical prompts, screenshots, or explanations	Individual data, viva, version history, and reflection required
Unverified output	Fluent answers accepted without source checks	Verification field in every relevant rubric
Unsafe automation	External messages or changes happen automatically	Mandatory human approval in all beginner workflows
Credit overspend	Repeated generations without planning	Fixed allowance, prompt planning, attempt log, approval for extras
Placement overpromise	Admissions discussion implies guaranteed employment	Written placement-assistance disclaimer
Tool change	Feature, price, or access changes mid-batch	Outcome-based lesson design and documented fallback

Red Flag

“Copy this exact prompt” teaching

Learners must understand structure, context, diagnosis, and revision — not memorise one sentence.

Red Flag

Certificate based on attendance

Mandatory projects and viva protect the credibility of Pingmedia’s certification.

Quality Signal

Visible before-and-after evidence

Strong portfolios show the original problem, failed attempt, correction, final result, and explanation.

Section 14 · Launch Decision

Final Recommendation & Launch Checklist

The program is ready to become a flagship Pingmedia Learning offering when the delivery assets, trainer ownership, credit model, admissions communication, and assessment system are completed before enrolment opens.

9/10

Recommended program potential for the Agra market

12

Required portfolio outputs

3

Role-based capstone tracks

1

Clear promise: AI skills proven through real work

Academic Readiness

Approve final 45 lesson plans and weekly rubrics.
Create all simulated company briefs and clean datasets.
Build trainer demos, blank starter files, and fallback exercises.
Prepare portfolio folder structure and submission naming guide.
Define capstone approval, testing, presentation, and viva rubric.

Operational Readiness

Confirm trainer, lab-support, and career-review ownership.
Test Wi-Fi, backup internet, projector, and device requirements.
Approve paid-tool credit allowance and overage policy.
Publish admissions terms, attendance rule, and placement disclaimer.
Run one internal pilot with staff before the first paid batch.

Final Program Standard

Think clearly → Prompt correctly → Provide context → Create professionally → Analyse responsibly → Automate safely → Build with AI → Present with confidence.

This learning journey gives Pingmedia a differentiated, practical, non-technical AI program that is credible for students, valuable for professionals, and immediately useful for business owners.

Recommended public promise: 45 Days. 45 Hands-On Classes. 12 Portfolio Outputs. One Complete AI Capstone. No Coding Background Required.