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PROGRAM 43 · TEAM TRAINING

AI & Data for Content Creators

More content, more reach, less burnout.

Important: Creators are responsible for what they publish. The course covers copyright, disclosure of paid partnerships and AI-generated content, and checking facts before posting, especially on news, health, religion and politics.

Who books it: Media houses, brands with creator programmes, creator communities and digital skills training centres, for cohorts of YouTubers, page owners and short-video creators.

8 sessions3 modules4 hands-on projects3 days · 9 am–5 pmCertificate on completion
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Request a proposalSee the curriculum

Who this course is for

  • YouTubers, Facebook page owners and TikTok or reels creators
  • Podcasters, educators and niche creators (food, tech, travel, lifestyle)
  • Creator teams: editors, scriptwriters and channel managers
  • Media house and brand teams running creator programmes

What your team will be able to do

  • Plan a month of content with hooks, series and scripts in hours
  • Edit, subtitle and repurpose videos faster with AI tools
  • Read channel analytics and decide what to make next
  • Deploy four working automations for your channel or creator team
How it runs

3 days at your office, 8 sessions

Three sessions a day plus a hands-on build lab every afternoon. Day 3 ends with capstone presentations.

Day 1

9:00 am – 5:00 pm

AI chatbots for content work

9:00–10:30S1Prompt engineering for content
10:30Tea break
10:45–12:15S2Ideas, hooks & scripts
12:15Lunch & prayer
1:00–2:30S3Visuals, editing & repurposing
2:45–4:30LABBuild lab: content calendar for your own channel
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Analysis, then the first two builds

9:00–10:30S4Formulas & channel data cleaning
10:30Tea break
10:45–12:15S5Creator analytics & growth plan
12:15Lunch & prayer
1:00–2:30S6Project 01 & 02: Policy assistant & alerts
2:45–4:30LABBuild lab: growth report, assistant and alerts
4:30–5:00Q&A and day recap

Day 3

9:00 am – 5:00 pm

Last two builds and the capstone

9:00–10:30S7Project 03: Brand collaboration workflow
10:30Tea break
10:45–12:15S8Project 04: Brief & contract extraction
12:15Lunch & prayer
1:00–3:00LABCapstone build clinic
3:15–4:30LABCapstone presentations
4:30–5:00Certificates and next steps
Group: 10–40 people from one organisationSame content and projects in both formatsBangla delivery with English technical termsEvery session ends with a deliverable
Curriculum

8 sessions, one build in each

3 modules · 8 sessions · 4 hands-on projects

PART 1AI Chatbots for Content WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for content work (scripts, Bangla captions, title and thumbnail ideas, comment analysis)
  • Free vs paid tiers; a workflow that needs no international payment card
  • Bangla vs English output quality; when to draft in English and translate
  • Which tool for a long document, which for a formula, which for a polished letter

Prompt Engineering Fundamentals

  • What a prompt is; why the same question gives different answers
  • The four-part structure: role, context, task, output format
  • Role prompting: act as a YouTube strategist, scriptwriter, video editor or brand partnership manager
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own content work
  • Step-by-step reasoning for multi-part tasks such as choosing between two video ideas or planning a series around one topic
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a full video (idea → hook → outline → script → title → thumbnail → description) into a sequence of smaller steps

Iteration & Prompt Library Building

  • Why the second prompt matters more than the first; refining instead of restarting
  • Diagnosing a bad output: vague instruction, missing context or wrong tool
  • Building reusable prompt templates for repeated content tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: channel logins and passwords, unreleased brand deal terms, sponsor rates, private viewer messages, collaborators' personal details
  • Anonymising data before prompting; safe vs unsafe content use cases
  • Hallucination awareness; verifying every figure, date, name and legal reference
  • The verification rule: AI drafts, a person checks before anything leaves the building
DELIVERABLEa personal prompt library of 10 templates for your repeated content tasks.
PART 2Content Data Analysis in Excel & Google SheetsSessions 4–5
PART 3Applied Projects: AI Assistants & AutomationSessions 6–8
Applied projects

Four automations, running in your organisation

01Session 6

Channel Policy & Brand Deal Assistant

You, your editors and your channel manager get answers from platform policies, brand deal terms and your style guide, with the section cited.

  1. INPlatform policies & deal terms
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Content & Sponsorship Alert Engine

Sponsor deliverables, go-live dates, licence renewals and payout dates checked daily, with alerts 30, 15 and 7 days ahead.

  1. INContent & sponsorship tracker
  2. RUNDaily Make scenario
  3. OUTAlert to the right owner
Built with Make · Sheets · Gmail
03Session 7

Brand Collaboration Request Workflow

Brand enquiries are screened for niche fit, minimum budget and banned categories, and approved deals go into your calendar and deal log.

  1. INBrand enquiry form
  2. RULESMake screening scenario
  3. OUTApproved deal in your calendar
Built with Make · Forms
04Session 8

Brand Brief & Contract Extraction

Briefs, contracts and invoices become clean rows, with long usage rights, exclusivity conflicts and overdue payments flagged.

  1. INBrand briefs & contracts
  2. AIGemini structured extraction
  3. OUTFlagged rows in your sheet
Built with Gemini API · Drive

Capstone presentation

Each person presents one automation built for their own workplace.

Day 3 afternoon
Applied across every session

Responsible & Ethical AI in Content

Fairness & Non-Discrimination

  • Where bias enters content decisions: data, wording, criteria and past patterns
  • Proxy discrimination: address, age, gender or background inferred indirectly

Privacy & Data Protection

  • Data minimisation: collect only what the decision requires
  • Retention and deletion of viewer, commenter and collaborator data

Honest Content & Audience Trust

  • Disclosing paid partnerships and AI-generated content clearly
  • No misinformation, fake news or misleading health and money claims

Accountability & Human Oversight

  • Human-in-the-loop by design: AI recommends, a named person decides
  • Who owns an AI-assisted decision when it is challenged

Workforce Impact & Your AI Use Policy

  • Talking to content teams about AI without triggering job-loss fear
  • Reskilling and role redesign as AI absorbs routine work
Outcomes

By the end, your team can

  • Choose the right AI tool and write prompts that work first time
  • Maintain a prompt library covering your repeated content tasks
  • Plan a month of content with hooks, scripts and captions
  • Edit, subtitle and repurpose videos faster with AI tools
  • Read your analytics and build a growth report and media kit
  • Build and deploy automations with Make, Apps Script and the Gemini API
  • Apply fairness, transparency and privacy to every AI-assisted decision

And leaves with

A 30-day content calendar and five scripts
A thumbnail kit and five repurposed short clips
A channel growth report and an honest media kit
A grounded channel policy & brand deal assistant your colleagues can use
A content calendar & sponsorship alert engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own channel or creator team

Tools your team will use

Chatbots
ChatGPTGeminiClaudeCopilotDeepSeek
Content
CanvaGammaCapCutGoogle Slides
Data
Microsoft ExcelGoogle SheetsPower Query
Workspace
GmailCalendarMeetFormsDrive
Automation & AI builds
MakeGoogle AI StudioApps ScriptGemini API
Content tools
YouTube StudioMeta Business SuiteTikTok analyticsGoogle Trends

What participants need

  • A laptop with Excel and a Google account
  • An active channel or page with at least a few published posts, and a phone for filming
  • One real work file to practise on from Session 2
  • No coding background required; free tiers only

How your team will learn

  • build-along classes (you work while the trainer works)
  • practise on your own workplace file, not dummy data
  • every session ends with a deliverable
  • Bangla delivery with English technical terms
  • recordings, prompt library and setup guides
  • certificate after capstone submission
Request a proposal

Bring this program to your creator team

Tell us about your team. We reply within one working day with a plan built around your own documents and workflows.

  1. 1 · A short discovery call with your creator lead
  2. 2 · We tailor examples to your masked files
  3. 3 · Offline at your office, or online live classes
Chat on WhatsApp
Request a proposal