🚀
Now Enrolling — Cohort 1

ESCAPE TUTORIALS

BUILD REAL PRODUCTS

Stop watching courses. Start building production AI with real teams. Ship LLM apps, train models, and walk away with a portfolio that proves you can do the job.

WHAT YOU
GET.

Everything you need to land your first AI engineering role — real experience, not certificates.

Real Project Experience

Build and deploy production AI apps — LLM tools, ML models, AI agents, and data pipelines.

GitHub Portfolio

Walk away with open-source contributions and shipped products that prove your skills to employers.

Team Collaboration

Work alongside engineers, designers, and product leads in cross-functional teams of 5–7.

Mentorship

Get code reviews, architectural guidance, and career advice from experienced engineers.

ENGDEVOPS
How It Works

YOUR TEAM.

You don't just write code alone. You join a team of 5–7 specialists and build one real AI product together.

CORE TEAM
AI / ML Engineers
2–3 Members

Build LLM integrations, implement RAG systems, fine-tune models, and handle AI agent development.

Product Lead
1 Member

Owns the product vision, manages sprints, and drives UX decisions.

TODO
WIP
DONE
Backend Engineer
1 Member

Designs APIs, builds scalable architectures, and develops microservices.

Frontend Engineer
1 Member

Builds responsive, interactive UIs with modern frameworks.

Data Engineer
1 Member

Builds data pipelines, manages vector databases, and handles ETL workflows.

RAWCLEANOUTPUT

OUR TECH STACK

We build with the same tools used at top AI startups. Real frameworks, real infrastructure — no toy projects.

AI / ML

  • Python & PyTorch
  • TensorFlow
  • LangChain & Hugging Face

INFRASTRUCTURE

  • AWS / GCP
  • Docker Containers
  • Kubernetes

FRONTEND

  • React 19
  • Next.js App Router
  • Tailwind CSS & Framer Motion

BACKEND

  • Node.js
  • FastAPI / Python
  • Vector Databases (Pinecone, etc)
Learning Tracks

CHOOSE YOUR PATH.

Pick the track that matches your experience level and career goals.

Beginner

Perfect for those starting their AI journey.

  • Python Fundamentals
  • Intro to Machine Learning
  • Data Analysis
  • API Development
MOST POPULAR

AI Engineer

Build and deploy intelligent systems end-to-end.

  • LLM Application Development
  • RAG Systems
  • Model Deployment
  • AI Agent Development

ML Engineer

Train models, build pipelines, and master MLOps.

  • Model Training
  • Data Pipelines
  • CI/CD & MLOps
  • Hyperparameter Tuning

READY TO
START?

The entry-level experience gap is real — employers want experience, but you need the job to get it.

LaunchAI bridges that gap. Join a real team, build a real product, and walk away with proof you can do the work.

Industry Network

Connect with engineers and mentors who are working in AI professionally and can help guide your career.

Launch Potential

Top projects get featured and connected to real opportunities — from hiring partners to startup incubators.

Career Growth

Learn production-grade patterns, deployment strategies, and engineering best practices used in the industry.

Apply

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