AI SuperStack: 30 Days Live Program with 500+ Real-World AI Projects

Learn AI by building real tools, agents, chatbots, automations & production-ready applications — live with mentor support.

The 30 Days AI SuperStack Live Program is a project-first, hands-on learning experience designed for students, professionals, founders, and developers who want to actually build AI products — not just watch videos.

Over 30 days of live sessions, you will build 500+ real-world AI projects, covering everything from prompt engineering to AI agents, chatbots, automation systems, RAG pipelines, and production deployments.

By the end of this course, you won’t just know AI —
👉 You’ll have a portfolio that proves it.

🚀 What You’ll Learn (Learning Outcomes)

By completing this course, you will be able to:

• Build AI-powered applications from scratch

• Create ChatGPT-like systems using LLMs

• Develop AI agents with memory, tools & reasoning

• Implement RAG (Retrieval-Augmented Generation)

• Automate workflows using AI

• Deploy AI apps for real users

• Design scalable AI system architectures

• Work confidently on industry-level AI projects

🎯 Who This Course Is For

• Students (any background)

• Working professionals

• Software developers

• Career switchers

• Founders & entrepreneurs

• Anyone serious about AI skills, not certificates

❌ Not for people looking for only theory.

🧑‍🏫 Course Includes

• ✅ 30 Days Live Classes

• ✅ 500+ Hands-On Projects

• ✅ Live Mentor Support

• ✅ Community Access

• ✅ Lifetime Recording Access

• ✅ Project Files & Templates

• ✅ Certificate of Completion

🏆 After This Course, You Can Apply For

• AI Engineer Roles

• AI Developer Roles

• Automation Engineer

• AI Product Builder

• Freelance AI Projects

• Startup AI Development

🗂 Course Curriculum Overview (Use as LearnPress Curriculum Summary)

🔹 Phase 1: Foundations & Core Skills (Days 1–6)

• Introduction to Artificial Intelligence, Generative AI & LLMs

• How ChatGPT, Gemini, Claude & other LLMs work

• Prompt Engineering (Basic → Advanced)

• AI tools ecosystem & practical use cases

• Python basics for AI (syntax, logic, data handling)

• Beginner-level mini AI projects

🔹 Phase 2: AI Development & Product Building (Days 7–14)

• AI website & landing page creation

• Frontend fundamentals using AI (HTML, CSS)

• Backend basics & API concepts

• ChatGPT / LLM API integrations

• GitHub & version control

• Live deployment workflows

• Voice AI (Speech-to-Text & Text-to-Speech)

• Mid-level real-world AI projects

🔹 Phase 3: Advanced AI, RAG & Automation (Days 15–22)

• AI automation fundamentals using n8n

• Gmail, Google Sheets & Telegram automation systems

• Advanced AI agents & multi-step workflows

• Retrieval Augmented Generation (RAG)

• Chat with PDFs, documents & company data

• Vector databases & AI memory concepts

• Industry-level AI projects

🔹 Phase 4: SaaS, Monetization & Career Growth (Days 23–30)

• AI SaaS architecture & system design

• User management, usage limits & cost control

• Packaging AI solutions for businesses

• Freelancing & client acquisition strategies

• Pricing models, pitching & proposal templates

• Portfolio building & demo preparation

• Final go-live projects & career roadmap

💻 Projects & Practical Work

• 500+ Real-World AI Projects

• Beginner, intermediate & industry-level projects

• Automation systems

• AI agents

• SaaS-style applications

• Portfolio-ready deployments