AI Generalist Course & Fellowship — Claude AI Generalist

Week by week

W1 — See the Landscape Clearly

Understand AI

• How LLMs work: tokens, parameters, RLHF
• Context windows, embeddings, temperature
• Claude vs ChatGPT vs Gemini — live
• 6 Gen AI categories + why Claude leads

Tools: Claude, ChatGPT, Gemini, Perplexity, NotebookLM, Hugging Face

W2 — Claude Mastery

Talk With AI

• Projects, Skills, Connectors, MCPs, APIs
• System prompt architecture
• Chat vs Cowork vs Code; Schedules, Plugins, Routines
• Claude in PowerPoint, Word, Excel; Notion memory

Tools: Claude, Notion, Claude for Office

W3 — Prompting Mastery

Think With AI

• 16 frameworks: CoT, ToT, RAG, chaining & more
• Skills as prompt libraries; Routines for chains
• Meeting intel: Granola, Fireflies → Claude → Notion
• Research: Perplexity → Claude → Gamma

Tools: Claude, Granola, Fireflies, Perplexity, NotebookLM, Gamma, Taskade

W4 — AI Creative Studio

Create With AI

• Diffusion models + image prompt architecture
• Gemini vs DALL-E vs Firefly vs Ideogram
• AI video: Kling, Runway, Pika; voice from scratch
• Blender 3D with Claude as navigator

Tools: Claude, Gemini, DALL-E 3, Firefly, Runway, Pika, ElevenLabs, Suno, Blender 3D, Canva

W5 — Agents & Workflows

Automate With AI

• Agent loop: Perception → Reasoning → Action → Memory
• Routines (5-step chains) + Schedules
• MCPs as tools: Notion, Slack, Gmail, Calendar
• N8N, Make, Zapier with Claude as the brain

Tools: Claude, N8N, Make, Zapier, Notion, Airtable, Slack

W6 — Voice & Agents at Scale

Scale With AI

• STT/TTS from scratch: Whisper, Deepgram, prosody
• Voice cloning + ElevenLabs voice design
• Voice agents: VAPI, Bland AI, Retell AI
• Routines + MCPs inside live calls

Tools: Claude, ElevenLabs, Whisper, Deepgram, VAPI, Bland AI, Retell AI, N8N

W7 — Vibecoding & Apps

Build With AI

• Vibecoding: describe → generate → test → ship
• Claude Code + CLAUDE.md + MCP to GitHub/Supabase
• Cursor, Lovable, Bolt.new for full-stack apps
• Agentic apps; Emergent + Replit deploy

Tools: Claude Code, Cursor, Lovable, Bolt.new, Replit, Emergent, Supabase, GitHub

W8 — Ship It — Demo Day

AI Native

• Capstone build sprint on the full Claude stack
• Product polish: UX, errors, MCP reliability
• Gamma deck + 5-minute presentation coaching
• Show Claude working; certification criteria

Tools: Claude, Gamma, Notion

Domain tracks

Product Management

Product Management — W1

Operate like a PM — AI-native discovery and a problem statement teams act on.

• What PMs actually do vs the JD
• JTBD vs feature requests vs complaints
• User synthesis, not just research
• Framing problems that don't get ignored

With Claude: Claude Project for research. Skills: interview synthesis, personas, competitor teardown. Routine: interview → persona → problem statement.

Live build: Zepto — 34% non-return rate. 5 interviews → 3 personas + problem statement.

Tools: Claude, Perplexity, NotebookLM, Notion, Jira, MS Clarity

Project: Case File L1 — Discovery (problem statement + personas).

Outcome: Structured discovery for a real Indian product.

Product Management — W2

Own execution — shippable PRDs, prioritised backlogs, roadmaps that survive review.

• What makes a PRD shippable
• RICE, ICE, MoSCoW — and when they break
• Saying no with data; stakeholders sans authority
• Jira ticket quality

With Claude: PRD pipeline. Skills: PRD, RICE scoring, ticket writer, roadmap. Notion + Jira via MCP.

Live build: Razorpay — 41% onboarding drop-off. PRD + RICE backlog + Q3 roadmap + 3 tickets.

Tools: Claude, Notion, Jira, Figma, Gamma, GA4

Project: Case File L2 — Execution (PRD + backlog + roadmap).

Outcome: Shippable PM package an eng team can sprint from.

Product Management — W3

Decide with data — diagnose growth, design experiments, build a metrics narrative.

• North Star vs vanity metrics
• AARRR funnel as a diagnostic
• MS Clarity behavioural signals
• Experiments without a data team

With Claude: Analytics Project. GA4 + Mixpanel via API. Routine: data → insight → experiment brief.

Live build: Groww — SIP retention at Day 90. 3 hypotheses + full experiment brief.

Tools: Claude, GA4, Mixpanel, MS Clarity, Gamma, Amplitude

Project: Case File L3 — Analytics (diagnosis + experiment brief).

Outcome: Data-driven diagnosis + a designed experiment.

Product Management — W4

Ship an AI-native feature — spec, prototype, host, and pitch to leadership.

• What's different about AI-native products
• AI UX: disclosure, graceful degradation
• Specs ML engineers respect
• Pitching AI to a non-technical founder

With Claude: Claude Code + MCPs for logic. Lovable UI. Replit hosting. Gamma pitch deck.

Live build: Urban Company — AI rebooking agent. Live prototype + spec + pitch.

Tools: Claude Code, Lovable, Replit, Emergent, Gamma, GA4, GitHub

Project: Case File FINAL — live URL + spec + pitch. 5-min Demo Day.

Outcome: Shipped AI-native prototype. Portfolio-ready.

Founder's Office

Founder's Office — W1

Operate the FO — founder psychology and AI-native strategic intelligence.

• CoS/EIR/FO vs the job title
• Builder, seller, CEO — the three modes
• Founder psychology & trust decisions
• What a founder cannot delegate

With Claude: Claude Project for intelligence. Skills: competitor teardown, market sizing, founder briefing. Routine: brief → research → Notion.

Live build: Juspay — board prep. Market sizing + 4-player landscape + situation brief.

Tools: Claude, Perplexity, NotebookLM, Notion, Miro

Project: Founder's OS L1 — Research System.

Outcome: Board-ready intelligence brief produced with Claude.

Founder's Office — W2

Own founder comms — investor updates and pitch narratives sent without editing.

• Anatomy of a real investor update
• Pitch narrative before pitch deck
• Stakeholder comms maps
• Writing for a founder who edits in 90 seconds

With Claude: Comms Suite. Skills: investor update, one-pager, pitch narrative, Loom script. Routine: notes → narrative → Gamma.

Live build: Mamaearth — Series C narrative. Update + one-pager + 10-slide deck + Loom script.

Tools: Claude, Gamma, Notion, Canva, Loom

Project: Founder's OS L2 — Communication Suite.

Outcome: Investor update, pitch narrative, Loom script on tap.

Founder's Office — W3

Build the ops layer — GTM tracking, dashboards, decision infra running autonomously.

• GTM coordination from the FO seat
• Metrics that matter: ARR, NDR, burn multiple
• Dashboards that trigger decisions
• Notion as operational SSOT

With Claude: N8N metrics aggregation → Claude review brief. Notion SSOT via MCP. Zapier Slack digest via Schedule.

Live build: Chargebee — ARR stalling at $500M. Dashboard + weekly review workflow.

Tools: Claude, N8N, Zapier, Notion, Rows, Slack

Project: Founder's OS L3 — Operations System.

Outcome: Weekly operating rhythm without manual data entry.

Founder's Office — W4

Ship the Founder's OS — intelligence, comms, ops + a voice briefing.

• AI operator vs AI user
• Autonomous vs human-judgment layers
• Voice briefings as the founder's format
• Presenting a systems handover

With Claude: Claude Code integrates all 3. MCPs: Notion, Slack, Gmail, Calendar. Master Routine → ElevenLabs audio brief.

Live build: Demo Day — full Founder's OS. Guest triggers voice brief + dashboard live.

Tools: Claude Code, ElevenLabs, Lovable, Replit, Notion, Gmail, Calendar

Project: Founder's OS FINAL — integrated, voice briefing live.

Outcome: Deployed Founder's OS. AI-Native FO Operator certified.

VC & Finance

VC & Finance — W1

Think like a VC analyst — evaluate founders and markets, produce a thesis.

• Fund structure: LPs, GPs, carry
• Sourcing → IC memo: where deals die
• TAM/SAM/SOM methodology
• Founder evaluation frameworks

With Claude: VC Research System. Skills: market sizing, founder research, IC memo. Routine: deal brief → research → memo.

Live build: Zepto Series D — TAM/SAM/SOM + landscape + IC-ready memo.

Tools: Claude, Perplexity, NotebookLM, Tracxn, Crunchbase, Tofler

Project: VC & Finance OS L1 — Research System.

Outcome: IC-ready memo in under 40 minutes.

VC & Finance — W2

Own financial analysis — decode SaaS metrics, forecast, build conviction narratives.

• P&L, balance sheet, cash flow
• ARR, NDR, CAC, LTV, Rule of 40
• Cohort analysis that shows churn
• SEBI/RBI/MCA as intelligence

With Claude: Financial Analysis Suite. Skills: P&L, SaaS metrics, forecast narrative. Sheets AI + Tofler.

Live build: Groww Q3 FY24 — model + analysis + 10-slide board narrative.

Tools: Claude, Google Sheets, Excel, Gamma, Tofler, Notion

Project: VC & Finance OS L2 — Analysis Suite.

Outcome: Institutional-grade financial analysis suite.

VC & Finance — W3

Build the VC ops layer — deal flow, diligence, portfolio monitoring, weekly reporting.

• Due diligence from the inside
• Deal flow at 200–400/quarter
• Cap table mechanics
• DPI vs TVPI vs IRR for LPs

With Claude: N8N deal pipeline → Claude scoring → Airtable. Notion dashboard. Zapier Slack digest.

Live build: Blume-style 100 Cr fund — pipeline + portfolio dashboard + commentary, all live.

Tools: Claude, N8N, Zapier, Airtable, Notion, Slack, Typeform

Project: VC & Finance OS L3 — Operations System.

Outcome: Deal flow tracked, portfolio monitored, digest automated.

VC & Finance — W4

Ship the VC & Finance OS — deal eval, analysis, and portfolio intelligence.

• Where AI creates alpha vs false confidence
• 3x more deal flow, faster first-pass
• SEBI compliance for AI decisions
• Institutional trust in AI analysis

With Claude: Claude Code integrates all 3. MCPs: Notion, Sheets, Gmail. Lovable dashboard, Replit deploy.

Live build: Demo Day — guest investor submits a live test deal; OS scores + drafts memo.

Tools: Claude Code, Lovable, Replit, Notion, Airtable, Sheets, Gmail

Project: VC & Finance OS FINAL — integrated, Lovable dashboard.

Outcome: Deployed OS. AI-Native VC & Finance Operator certified.

Marketing & Sales

Marketing & Sales — W1

Think like an AI-native marketer — map the journey, produce a Claude-native GTM.

• Strategy vs activity
• Trust is the conversion problem
• Positioning on small budgets
• Reading a broken funnel

With Claude: GTM Research System. Skills: persona, positioning, ICP, GTM strategy. Routine: brief → ICP → GTM.

Live build: boAt → smart home. ICP + positioning map + GTM strategy + slide.

Tools: Claude, Perplexity, NotebookLM, SimilarWeb, MS Clarity, Canva

Project: Marketing OS L1 — GTM Research System.

Outcome: Complete GTM strategy produced.

Marketing & Sales — W2

Own brand & content — a content system and multi-channel campaign.

• Content strategy vs calendar
• Storytelling architecture
• Creator-first content systems
• Platform logic: IG, LinkedIn, YT, WhatsApp

With Claude: Brand & Content System. Skills: calendar, captions, posts, campaign brief. Midjourney + Gemini visuals.

Live build: Mamaearth men's grooming. Brand voice + 4-week calendar + 3 pieces + deck.

Tools: Claude, Gamma, Canva, Midjourney, Gemini, Buffer

Project: Marketing OS L2 — Brand & Content System.

Outcome: Campaign package produced end-to-end.

Marketing & Sales — W3

Run growth & sales — paid acquisition, lead qualification, CRM, WhatsApp retention.

• Paid acquisition: ROAS vs CAC vs LTV
• Inbound vs outbound, SDR motion
• HubSpot vs Zoho CRM
• Email + WhatsApp + push retention

With Claude: N8N lead pipeline → Claude qualification → HubSpot + WhatsApp. Routine: GA4 → top 3 levers → Slack.

Live build: Zoho CRM → legal vertical. ICP Skill + pipeline + ad variations + GA4 map.

Tools: Claude, N8N, HubSpot, Zoho CRM, Meta Ads, GA4, WhatsApp

Project: Marketing OS L3 — Growth & Sales System.

Outcome: Lead pipeline, CRM, WhatsApp nurture running.

Marketing & Sales — W4

Ship the Marketing & Sales OS — GTM, content, growth, and pipeline deployed.

• Where AI adds leverage vs kills brand
• OS vs tool stack
• Attribution & brand health
• Presenting an AI system to a CMO

With Claude: Claude Code integrates all 3. MCPs: HubSpot, GA4, Notion, Slack. ElevenLabs audio + Runway video.

Live build: Demo Day — guest CMO submits a brief; OS generates ICP, calendar, ad copy, pipeline.

Tools: Claude Code, ElevenLabs, Runway, Lovable, Replit, HubSpot, GA4

Project: Marketing OS FINAL — integrated, audio + video produced.

Outcome: Deployed OS. AI-Native Marketing & Sales Operator certified.

Business & Data Analytics

Business & Data Analytics — W1

Think like a business analyst — frame problems, pick metrics, produce a diagnostic.

• Problem definition → recommendation
• KPI design vs KPI reporting
• 5 Whys, issue tree, MECE
• The so-what test

With Claude: Business Analysis System. Skills: issue tree, hypothesis, KPI tree, SCQA diagnostic. Routine: brief → diagnostic.

Live build: Nykaa post-IPO margin compression. Issue tree + 3 hypotheses + diagnostic.

Tools: Claude, Perplexity, NotebookLM, Notion, Miro, Excel

Project: BI OS L1 — Business Analysis System.

Outcome: Structured briefs in under 45 minutes.

Business & Data Analytics — W2

Own analytics & reporting — dashboards that trigger decisions, CFO-legible narratives.

• Dashboards that drive decisions
• Metric hierarchy: leading vs lagging
• SCQA in under 60 seconds
• Cohort, funnel, segmentation

With Claude: Analytics & Reporting System. Skills: exec summary, dashboard narrative, metric commentary. Looker Studio + Gamma.

Live build: PhonePe Q3 FY24. Looker dashboard + commentary + 10-slide board narrative.

Tools: Claude, Looker Studio, Google Sheets, Gamma, Tableau, Notion

Project: BI OS L2 — Analytics & Reporting System.

Outcome: Board-grade analytics without a full BI team.

Business & Data Analytics — W3

Automate the analytics layer — ingestion pipelines, SQL decisions, auto reporting.

• Process: map → waste → redesign
• Operational analytics in qcom
• Descriptive vs prescriptive analytics
• SQL for analysts, the Claude way

With Claude: N8N ingestion → Claude commentary → Notion SSOT. SQL generator Skill. Exception Routine on KPI breach.

Live build: Zepto qcom — 4 sources, 6-hr report. Pipeline + 3 SQL queries + exception alerts.

Tools: Claude, N8N, Zapier, Notion, Airtable, Google Sheets, SQL

Project: BI OS L3 — Analytics Automation System.

Outcome: 6-hour Monday report replaced by automation.

Business & Data Analytics — W4

Ship the BI OS — diagnosis, analytics, reporting, and decision support deployed.

• AI leverage vs confident wrong answers
• Verifying hallucinated metrics
• Trust in AI-generated BI
• BI OS as a career asset

With Claude: Claude Code integrates all 3. MCPs: Sheets, Notion, Slack. Lovable dashboard, Replit deploy.

Live build: Demo Day — guest submits a business question; OS returns issue tree → analysis → narrative.

Tools: Claude Code, Lovable, Replit, Looker Studio, Notion, Slack

Project: BI OS FINAL — integrated, Lovable dashboard.

Outcome: Deployed BI OS. AI-Native Business & Data Analyst certified.

Strategy & Operations

Strategy & Operations — W1

Think like a strategic operator — distinguish program/project/ops/strategy, design systems.

• Program vs project vs ops vs strategy
• Stakeholder mapping sans authority
• Plans that account for reality
• OKRs vs tracking vs BAU

With Claude: Ops Planning System. Skills: stakeholder map, process map, OKR set, execution plan. Routine: brief → plan.

Live build: Meesho seller onboarding — 2,000 sellers, 3 cities. Maps + OKRs + 90-day plan.

Tools: Claude, Perplexity, NotebookLM, Notion, Miro, Google Sheets

Project: Operations OS L1 — Research & Planning System.

Outcome: Execution-grade operational plan produced.

Strategy & Operations — W2

Own planning & coordination — plans that survive reality, reports that produce decisions.

• 6 elements of a delivered plan
• Reports that surface blockers
• Governance without bureaucracy
• Async-first coordination

With Claude: Planning & Coordination System. Skills: project plan, status report, steering deck, stakeholder update. Asana + Notion.

Live build: Swiggy Instamart — 48 dark stores, 16 weeks. Plan + tracker + status + steering deck.

Tools: Claude, Gamma, Google Sheets, Asana, Loom, Notion

Project: Operations OS L2 — Planning & Coordination System.

Outcome: Program-grade planning without a PMO team.

Strategy & Operations — W3

Automate the ops layer — N8N orchestration, KPI monitoring, automated coordination.

• Orchestration: map → waste → redesign
• Real-time vs daily vs weekly KPIs
• Cross-functional coordination at scale
• Escalation system design

With Claude: N8N multi-source pipeline → Claude commentary → Notion SSOT. Exception Skill + cross-functional Routine.

Live build: Ola Electric — 400+ centres, 3 sources, 4-hr report. Pipeline + exception alerts + digest.

Tools: Claude, N8N, Zapier, Notion, Airtable, Slack, Google Sheets

Project: Operations OS L3 — Automation System.

Outcome: 4-hour Monday report replaced, ready by 8am.

Strategy & Operations — W4

Ship the Operations OS — planning, tracking, coordination, and reporting deployed.

• Claude as coordination layer
• PMO of the future: human vs systematised
• Operator as AI system designer
• Building for handover

With Claude: Claude Code integrates all 3. MCPs: Notion, Slack, Gmail, Calendar. Lovable command centre, Replit deploy.

Live build: Demo Day — guest COO submits a program brief; OS generates maps, OKRs, plan, alerts.

Tools: Claude Code, Lovable, Replit, Notion, Slack, Gmail, Calendar, Asana

Project: Operations OS FINAL — integrated, Lovable command centre.

Outcome: Deployed OS. AI-Native Strategic Operations Operator certified.

Frequently asked questions

What is an AI generalist?

An AI generalist is someone who uses AI across everyday work — research, writing, analysis, presentations, automation and building simple tools — without needing to code. Instead of specialising in one model or one task, an AI generalist knows which tool fits which job and can turn a business problem into a working AI workflow. Menler's AI Generalist Fellowship trains exactly this role, with Claude at the core.

How do I become an AI generalist?

Learn the core skills in order: prompting and context, AI research and writing, AI for documents and presentations, creative and media tools, automation with tools like n8n, Make and Zapier, and no-code building with Lovable and Claude Code. Then apply them to real projects in your own field and build a portfolio. Menler's 10-week AI Generalist Fellowship follows this path, with live sessions, domain tracks and placement support.

What is the Menler Generalist program?

The Menler Generalist program is the AI Generalist Fellowship: a 10-week, live, no-code course with 20 sessions and 50 hours of instruction. You learn Claude and the wider AI stack, apply it in a domain track such as marketing, finance, product, HR or operations, and graduate with a project portfolio, a Claude Specialist certificate and placement support.

What is the difference between an AI generalist and an AI engineer?

An AI generalist applies AI tools to business work — research, content, analysis, automation — without writing code. An AI engineer writes code to build the AI systems themselves: APIs, RAG pipelines, agents and evaluations. Menler teaches both: the AI Generalist Fellowship needs no coding, and the AI FDE Fellowship requires Python or JavaScript.

I'm not a technical person. Can I still succeed in this Fellowship?

You don't need coding experience—just the willingness to learn, build, and apply AI to real-world work.

What will I build during the Fellowship?

You'll graduate with a portfolio of real AI projects. Every build is designed to demonstrate practical capability within your chosen domain, creating proof of work you can showcase to employers and your professional network.

How much time should I expect to commit each week?

Approximately 8–10 hours per week. This includes live sessions, hands-on assignments, project work, and mentor support. The program is designed for working professionals and ambitious learners.

How does interview preparation and career support work?

Career support is integrated throughout the Fellowship. Fellows receive portfolio reviews, interview preparation, hiring-readiness guidance, employer introductions, and access to opportunities through Menler's hiring network.

What is the program fee and are there payment options?

The 10-week AI Generalist Fellowship costs ₹59,999 including taxes, and EMI plans are available. Scholarship options are shared during the application process and counselling session.

What is the refund and cancellation policy?

Refunds are only applicable if program access has not been provided. Once access to the Fellowship platform, curriculum, or learning resources has been granted, fees become non-refundable and cancellations are not eligible for a refund.