Build & Launch Your AI Product in 30 Days

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🚀 AI MicroSaaS Cohort 2025

Build & Launch Your AI Product in 30 Days

An intensive masterclass to transform your ideas into a profitable AI MicroSaaS.

Duration

30 Days

Seats

Limited · 50 builders

Level

Beginner → Advanced

Mode

Live + Async

About This Cohort

Join ambitious entrepreneurs learning to build profitable AI MicroSaaS products. We cut the fluff and deliver battle-tested systems for rapid ideation, OpenAI integration, and acquiring your first paying users. Every week is packed with hands-on building, live feedback, and community support.

MicroSaaSAI ProductEntrepreneurshipLLM APIsMonetization

What You'll Learn

AI Product Ideation: Find problems worth solving with AI

Rapid MVP Development: Ship your first version in Week 1

OpenAI API Integration: Build chatbots, agents & automations

Marketing & SEO: Get your first 100 users organically

Monetization Strategies: Price, package & sell your product

Community Support: 24/7 access to builders & mentors

Curriculum

12 modules over the program.

AI Product Thinking

2 hrs

Ideation frameworks, problem-solution fit, AI use case validation, competitive analysis, BD market context

Vibe Coding & AI-Assisted Dev

3 hrs

Cursor IDE, Bolt.new, v0.dev, Lovable, Replit AI; prompt-driven development; shipping code without deep engineering background

LLM API Integration

2 hrs

OpenAI, Gemini, Claude APIs; API key management; system prompts; streaming; cost estimation; choosing the right model

Advanced Prompt Engineering

2 hrs

Chain-of-Thought, ReAct, few-shot prompting, prompt versioning, structured outputs (JSON mode), prompt injection defense

RAG & Knowledge Bases

3 hrs

Retrieval-Augmented Generation, vector databases (FAISS, Pinecone, Supabase pgvector), document ingestion pipelines, chunking strategies

Full-Stack AI App Architecture

3 hrs

Next.js + Supabase stack, auth (Clerk/NextAuth), database design for AI apps, file uploads, serverless functions, Vercel deployment

AI Agents & Automation

2 hrs

Single-agent loops, tool use / function calling, LangChain basics, n8n workflow automation, connecting agents to real-world APIs

Payments, SaaS & Monetization

2 hrs

Stripe integration, subscription models, usage-based billing, freemium design, pricing strategy for AI products in BD/global markets

LLMOps & Production Readiness

2 hrs

Langfuse / Helicone observability, eval frameworks, cost monitoring, rate limiting, error handling, prompt regression testing

Growth, Distribution & GTM

1 hr

Landing page (v0/Framer), SEO basics, Product Hunt launch, community distribution, cold outreach, BD startup ecosystem resources

Capstone: Build & Ship

4 hrs

Ship a live AI product with real URL, users, and working payments. Peer review + Arklab AI team evaluation

Demo Day & Industry Review

2 hrs

Live product demo (5 min per team), feedback from Arklab AI practitioners, certificate ceremony, internship shortlisting

Learning Outcomes

Design and validate AI product ideas using structured frameworks

Build functional AI-powered web applications using modern vibe-coding tools and LLM APIs

Implement RAG pipelines and vector search for knowledge-grounded applications

Deploy, monitor, and optimize AI products in production using LLMOps best practices

Integrate payments and apply SaaS monetization models to AI products

Develop and present a live AI product to an industry audience

✔ Capstone Project

Each participant (or team of 2) will build and deploy a live AI product. The product must:

Publicly accessible via a real URL (not localhost)

Integrate at least one LLM API with a functional prompt system

Include at least one of: RAG pipeline, agent loop, or automated workflow

Have a working user auth and (at minimum) a free-tier monetization structure

Presented live in a 5-minute demo to peers and Arklab AI evaluators

Highlights & Recap

Success Stories & Community

Ready to become an AI Engineer?

Join the next cohort and ship your AI product in 30 days.

Ask on WhatsApp