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ChatGPT Intermediate English Founding Price

ChatGPT Mastery for Professionals: 1:1 Coaching

From prompts to AI agents: put ChatGPT to work on your documents, data and company systems. One-to-one, on your own work.

Designed & taught byDinesh Kushwaha FormatLive 1:1 online via Zoom
Duration
6 weeks · 12 sessions × 1.5 h (18 hours)
Schedule
Two sessions a week, at times that suit you
Cohort
One-to-one: limited coaching slots each month
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

From prompts to AI agents: put ChatGPT to work on your documents, data and company systems. Twelve one-to-one sessions, scheduled around you, built on your own files and problems. Every session is 20 minutes of concept, 50 minutes of you building and 20 minutes applying it to your work.

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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