Complete AI Mastery All Levels English Best Value

Complete AI Mastery for Professionals: Live Cohort

ChatGPT + Claude + Copilot Studio in one live weekend programme: assistants, analysis, automation and agents for working professionals.

Designed & taught byDinesh Kushwaha FormatLive online via Zoom, small batch

Duration: 10 weekends · 20 sessions × 1.5 h (30 hours)
Schedule: Saturday + Sunday, 1.5 h each
Cohort: Only 12 seats per batch
Taught in: English

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This course includes

20 live sessions with recordings and lifetime LMS access
All three course toolkits and lab files
50 practice exercises with answer keys
Batch WhatsApp support group, plus 4 weeks of follow-up
Capstone review and certificate of completion
Saves ₹10,000 compared with the three cohort courses separately

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What you'll walk away with

Document assistants in ChatGPT, Claude and Copilot Studio, compared on your own files
Reports and reconciliations rebuilt in minutes, with an audit trail
Invoices, scans and charts turned into structured data
Shareable dashboards, documents and decks
Assistants connected to Outlook, SharePoint, Teams, a database and a business API
A Copilot Studio agent in Teams and Power Automate flows with approvals
An agent that automates a multi-step task, plus a rollout plan IT will sign

Who it's for

Professionals who want to master all the major AI platforms and lead AI adoption in their team or business: managers, team leads, analysts, consultants, IT and operations teams, and founders. Comfortable with Excel; no coding needed.

Curriculum

The complete curriculum for all three platforms, taught live to a small batch of 6–12 professionals over ten weekends. You build every project yourself, with help in the session and in the batch WhatsApp group. Saves ₹10,000 compared with the three cohort courses separately.

Module 1 · Sessions 1–2: Foundations & prompting across ChatGPT, Claude and Copilot

How the three assistants work, where each is strongest, and prompts that give reliable results in all of them.

Context windows, grounding and hallucination, shown live in all three tools
Prompt structure: role, task, inputs, format, constraints, example
Choosing the right tool: personal productivity, deep document work, or company-wide Microsoft 365

You build: Prompt templates for your 3 most frequent tasks, tested in all three tools.

Module 2 · Sessions 3–4: RAG on your documents in all three platforms

Turn your policies, SOPs and reports into cited assistants, and compare the three approaches side by side.

ChatGPT Custom GPT with knowledge files
Claude Project with files and instructions
Copilot Studio agent on SharePoint, published to Teams, with permission trimming

You build: Three document assistants, scored on the same 10 questions.

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

Rebuild reports in minutes and defend every number.

Excel/CSV analysis with ChatGPT data analysis and Claude
PDFs + Excel + decks analysed together; reconciliation and audit
Copilot in Excel for analysis inside your workbook

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

Module 4 · Sessions 7–8: Vision & research

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

Invoices, receipts and scanned forms turned into tables
Reading charts and screenshots, and checking the numbers
Deep research and web research with citations

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

Module 5 · Sessions 9–10: Finished deliverables

Go from answer to the document, deck or dashboard you actually send.

Claude artifacts: shareable dashboards, calculators and pages
Documents and slide decks with Claude, ChatGPT Canvas and Copilot in Word and PowerPoint
Styles and templates so output matches your brand

You build: A shareable dashboard and a client-ready report or deck.

Module 6 · Sessions 11–12: Connectors, MCP & APIs

Connect assistants to the systems you work in.

Outlook, SharePoint, Teams, Google Drive and Slack connectors
ChatGPT GPT Actions and Copilot custom connectors from an OpenAPI file
MCP servers for Claude and Copilot Studio: databases and business APIs

You build: An assistant answering from live company data and a business API.

Module 7 · Sessions 13–14: Copilot Studio agents in depth

Design and build agents your whole organisation can use inside Microsoft 365.

Topics, variables, adaptive cards and generative answers
Tools and actions with authentication and confirmation before any write
Publishing to Teams and Microsoft 365 Copilot; testing and analytics

You build: A Copilot Studio agent that looks up and updates business records.

Module 8 · Sessions 15–16: Automation: Power Automate, AI Builder & scheduled tasks

Make work run without you, with a human checking what matters.

Power Automate cloud flows, triggers and approvals
AI Builder document processing
Scheduled tasks in ChatGPT and Claude for recurring reports

You build: An invoice-to-SharePoint flow with approval, and one weekly report on a schedule.

Module 9 · Sessions 17–18: Agents: Claude Code, Skills & autonomous agents

Build agents that plan and carry out multi-step work across your files and systems.

Claude Code for non-developers: folders of files, CLAUDE.md, approvals, sub-agents
Claude Skills and ChatGPT agent mode
Event-triggered autonomous agents in Copilot Studio

You build: One multi-step task automated end to end with an agent.

Module 10 · Sessions 19–20: Governance, rollout & capstone

Choose the right platform for each job, roll out safely, and prove the value.

Data privacy, permissions, DLP and admin across all three platforms
Licensing, cost and ROI: hours saved, measured in a pilot
Capstone: your own business problem, demoed to your stakeholders

You build: A governance and rollout plan, and your capstone agent.

Tools & technologies

ChatGPTCustom GPTsClaudeClaude ProjectsArtifactsClaude CodeSkillsMicrosoft 365 CopilotCopilot StudioPower AutomateAI BuilderSharePointMCPConnectorsGPT Actions

Your instructor

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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