The questions Indians actually ask about AI.

Yes. Modern AI work is mostly prompt engineering, no-code automation (n8n, Zapier, Make), and vibe coding (Bolt.new, Lovable, Cursor) where AI writes the code. ONROL's 5-day AI Generalist intensive is built for non-coders — students ship a backend automation, a live website, and a personal AI assistant by Day 5 without writing traditional code.

Academic AI is the science: math, theory, model architecture, novel research (IITs, IISc, IIITs lead this in India). Applied AI is the craft: using existing models (Claude, ChatGPT, Gemini) and tools (n8n, Cursor) to ship real products. Both paths are valid for different goals. ONROL is purely applied. Most economic value in 2026 comes from applied — companies hire 100 builders for every 1 researcher.

Spend Week 1 mastering one LLM deeply (Claude or ChatGPT) — structured prompts, role-based instructions, output formats. Week 2: add one search tool (Perplexity) and one automation (n8n or Zapier). Week 3: ship one tiny project end-to-end. ONROL compresses this into a 5-day intensive with mentors so you don't get stuck.

5 days, intensive. 6 hours per day — 4 hours of live mentor-led learning + 2 hours of building. By Day 5 you ship 3 deployable projects: a backend automation, a vibe-coded live website, and a personal AI assistant.

Cohort 8 starts in August 2026. Reserve a Free Masterclass seat first — that's the canonical entry point and you'll get exact cohort dates, fee structure, and a 15-minute call slot if you decide to enrol.

Online. Cohorts run as live mentor-led sessions on a private platform — students join from every Indian state plus NRIs. APEX community access (Discord + WhatsApp + alumni network) is included for one year with every cohort.

Reserve a Free Masterclass seat (90-minute live session, no pitch) — you see exactly how cohorts run before deciding. After that, you can request a 15-minute call with the team to confirm fit, fees, and start date.

Yes — a Certificate of Completion is awarded after the final-day showcase + project review. The certificate links to your three deployed projects (URLs you can show recruiters or clients), not just attendance.

AI Automation Architect, Applied AI Engineer, Prompt Engineer, AI Product Manager, AI Agency Operator, Freelance AI Builder, AI-augmented developer. Salaries in 2026 range from ₹6L-₹40L+ depending on shipping ability. Companies pay for proof of deployment, not certifications.

Yes — and AI freelancing is the fastest-growing service category in India. Common offers: AI automation setup (₹15-50k/project), custom AI assistant builds (₹50k-2L), agency-style AI workflows (monthly retainers ₹30k-1.5L). Ship 2-3 portfolio projects first, then list on Upwork / Contra / cold outbound.

Beginner: ₹15-30k/month doing AI-assisted content + simple automations. Mid-level (3-6 months in): ₹50k-1.5L/month with 2-3 retainer clients. Specialised (1+ year): ₹2-5L/month running a small agency or shipping AI products. Earnings track shipping speed and client trust, not credentials.

Probably not directly — but someone using AI will. The roles most exposed in 2026 are repetitive knowledge work (data entry, basic content, simple coding tasks). The roles most augmented (and getting paid more) are people who orchestrate AI across multi-step workflows. The bet ONROL makes: become the orchestrator, not the replaced.

Use all three for different tasks. Claude: long-context reasoning, coding, structured analysis. ChatGPT: general writing, brainstorming, broadest plugin ecosystem. Gemini: Workspace integration (Docs/Sheets/Gmail), multimodal. ONROL teaches the 'three-LLM stack' as default — switching tools is part of the skill.

RAG (Retrieval-Augmented Generation) lets an LLM read your private documents at query time — your notes, internal docs, customer history. You need it the moment you want AI to answer questions about specific data the model wasn't trained on. ONROL teaches RAG on Day 2 using Supabase pgvector + Claude.

n8n is the default ONROL teaches — open-source, self-hostable, no per-task pricing (which kills Zapier at scale). Zapier is friendlier UI, Make.com is the middle ground. For Indian price-sensitivity and scale, n8n wins. All three work; pick by team comfort.

Vibe coding is building software primarily by describing what you want in English while AI writes the code. Tools: Cursor (AI editor), Bolt.new (description → deployed app), Lovable (full-stack apps), v0 (React UI from prompts). The biggest workflow shift in software since the IDE — non-coders can ship deployable apps in hours.

Three reasons: (1) tutorial-only format — no enforced shipping, (2) generic curriculum copied from Silicon Valley not adapted to Indian tools/budgets, (3) instructors who don't actively build. ONROL's bet: every learner ships 3 deployable projects in 5 days under mentor pressure. Output beats input.

Look for: (1) intensive format that fits around your job (5-day evening + weekend works better than 6-month theory), (2) practitioner mentors not academics, (3) deployable outputs not just slides, (4) post-cohort community access. ONROL is built around all four — runs as a 5-day intensive with one year of APEX community access included.

Yes — that's most of ONROL's audience. Specific wins: AI-assisted content (Postpilot, Slidewave), customer support automation (n8n + Claude), lead qualification flows (Make.com + ChatGPT), internal-data Q&A bot (RAG + Supabase). Most can be set up in a weekend if you know the patterns.

No — cohorts run online with students joining from every Indian state plus NRIs. The ONROL team is Hyderabad-based for office/admin purposes; the learning experience is fully remote with daily live mentor sessions.

ONROL's stack: Trendline (find trending hooks), Slidewave (AI carousels), Reelcraft (script→reel), Postpilot (9-platform writer), Skedly (scheduler). Plus Claude for caption voice-locking and Perplexity for research. The trick: lock your voice in 5 sample posts before letting AI generate anything.

30 days of focused practice (1-2 hours/day) gets most people to confident-user level. 90 days hits builder level (you can ship a project end-to-end). 6 months is when 'AI builder' becomes a career identity. The bottleneck is shipping projects, not consuming content.

1) Structured prompting + system prompts. 2) AI search (Perplexity) for research. 3) One automation tool (n8n or Zapier). 4) One vibe-coding tool (Bolt.new or Cursor). 5) Basic RAG. That's 5 skills, ~40 hours of practice — enough to differentiate you in any internship or first job.

Self-learn if you've shipped software before — you'll figure it out. Cohort if you're new and need accountability + mentor unblocks. The hidden cost of self-learning is months of dabbling without shipping; a 5-day cohort compresses that into a deployable portfolio.

AI Generalist = 5-day intensive, beginner-friendly, ship 3 projects (automation, website, AI assistant). AI Orchestrator = advanced track for practitioners moving into agents, multi-step orchestration, production AI products. Most learners start with Generalist; Orchestrator is the next step.

An LLM-driven system that plans, decides, and executes multi-step actions without human approval at each step. Examples: an agent that reads your email, drafts replies, and schedules follow-ups; or one that researches a topic by browsing the web and writes a report. Built using tool-use APIs (Claude, GPT-4 function calling) plus orchestration frameworks (LangChain, n8n, custom code).

MCP (Model Context Protocol) is Anthropic's open standard for connecting AI assistants to external tools and data — think 'USB for AI tools'. By 2026 it's becoming the default integration layer for production AI. Any MCP-aware client can use any MCP server, breaking the lock-in around proprietary plugin systems.

Surprisingly little. Free tiers cover early learning: Claude (limited free), ChatGPT (limited free), Gemini (generous free tier in Google AI Studio), Perplexity (free with daily limits), n8n (free self-hosted). Most people learn for ₹0-500/month. You scale to paid tiers (~₹2-5k/month total stack) when you're shipping client work.

More important than the certificate is the deployed-projects portfolio it links to. Indian hiring in 2026 increasingly evaluates AI-builder candidates by 'show me what you've shipped' — a live URL beats a course completion screenshot. ONROL graduates get both: a verified certificate and three project URLs to show.

No — different focus. Scaler is software engineering with AI as one module. Outskill runs broad webinars across many topics. ONROL is laser-focused on applied AI execution: a 5-day intensive that ships projects, not a multi-month degree. If you want depth in shipping AI products fast, ONROL is built for that single outcome.

Yes — and the gains compound fast. AI saves teachers hours per week on lesson planning, grading rubrics, custom quizzes, and personalised feedback. Beyond personal productivity, teachers who can build classroom AI tools (RAG over textbooks, AI tutoring assistants) lead the next wave of EdTech.