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ChatGPT Intermediate English Early Bird

ChatGPT Mastery for Professionals: Live Cohort

Advanced ChatGPT for working professionals, live in a small weekend batch: Custom GPTs, analysis, research, connectors and agents.

Designed & taught byDinesh Kushwaha FormatLive online via Zoom, small batch
Duration
6 weekends · 12 sessions × 1.5 h (18 hours)
Schedule
Saturday + Sunday, 1.5 h each
Cohort
Only 12 seats per batch
Taught in
English

What you'll walk away with

  • Prompt templates that give reliable, professional output
  • A cited Custom GPT on your own documents (RAG)
  • Reports and reconciliations rebuilt in minutes, with an audit trail
  • Invoices, scans and charts turned into structured data
  • Research reports with sources you can check
  • ChatGPT connected to Outlook, SharePoint, Teams and a business API
  • A scheduled weekly task and a rollout plan for your team

Who it's for

Working professionals who want ChatGPT to save them hours every week: managers, analysts, consultants, engineers, HR, finance and operations teams, and founders. Comfortable with Excel; no coding needed.

Curriculum

The same curriculum as 1:1 coaching, taught live to a small batch of 6–12 professionals over six weekends. You build every project yourself, with help in the session and in the batch WhatsApp group.

Module 1 · Sessions 1–2: Advanced prompting & personalisation

Get reliable, professional-grade output every time, and set ChatGPT up for your role.

  • Roles, step-by-step reasoning, examples and structured output
  • Custom instructions and memory
  • Projects and Canvas for long-running work

You build: Prompt templates for your 3 most frequent tasks and a Project workspace for your role.

Module 2 · Sessions 3–4: Custom GPTs & RAG on your documents

Turn your policies, SOPs and reports into a GPT that answers from them and cites the source.

  • Custom GPTs: knowledge files, instructions, conversation starters
  • Grounding, citations and saying "not found"
  • Testing a GPT on 10 real questions before you share it

You build: A cited policy/SOP assistant, shared with your workspace.

Module 3 · Sessions 5–6: Data analysis & multi-file analysis

Rebuild reports in minutes and check every number before you trust it.

  • Excel/CSV analysis with Python, pivots and charts
  • PDFs + Excel + decks analysed together
  • Reconciliation and audit: which file, which sheet, which rows

You build: A recurring MIS report rebuilt, and a decision memo with numbers you can defend.

Module 4 · Sessions 7–8: Vision for documents & deep research

Read invoices, scans and screenshots, and research markets with sources you can check.

  • Invoices, receipts, scanned forms and charts turned into tables
  • Deep research and web search for briefs with citations
  • Checking sources and spotting weak evidence

You build: An invoice-to-table workflow and a market or competitor report with sources.

Module 5 · Sessions 9–10: Connectors & GPT Actions

Connect ChatGPT to the systems you work in, from email to your CRM.

  • Connectors: Outlook/Gmail, SharePoint/Drive, Teams, GitHub
  • GPT Actions: calling REST APIs from an OpenAPI schema
  • Authentication, confirmation before any write, and safe scopes

You build: An assistant answering from live company data, and a GPT connected to a business API.

Module 6 · Sessions 11–12: Agents, automation, governance & capstone

Let ChatGPT run multi-step and recurring work safely, then roll it out to your team.

  • Agent mode for multi-step tasks; scheduled tasks for recurring digests
  • Workspace admin, data privacy and a rollout plan
  • Capstone demo on your own business problem

You build: One weekly task on a schedule, a one-page rollout plan, and your capstone assistant.

Tools & technologies

ChatGPTCustom GPTsProjectsCanvasData analysisDeep researchVisionConnectorsGPT ActionsOpenAPIAgent modeScheduled tasks

Your instructor

Dinesh Kushwaha

Dinesh Kushwaha

Founder, Dinesh AI Academy · Principal Software Engineer & Application Architect

Dinesh has spent 18+ years architecting and delivering 50+ enterprise-scale platforms and has coached more than 1,000 engineers. He teaches AI the way he builds it: practical, secure, and focused on what works in production.

Read Dinesh's story
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