About the Program
Kick-start your machine learning career with Launch Institute of Technology's ML Mentorship Program — a 3-month, remote, hands-on training experience designed for fresh graduates ready to turn Python skills into real AI expertise. Work on production-grade generative AI projects, guided by seasoned FAANG engineers and startup founders, and learn the exact skills companies are hiring for today.
💡 What You’ll Learn & Build
AI Agent Foundations & Data Engineering
Search & Retrieval Systems for intelligent applications
LLM Training & Summarization techniques
Capstone Project: Build and deploy a research assistant system
Fine-tuning models, multi-modal agents, and real-time inference
Tools & frameworks like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
✅ Who Should Apply
Recent graduates (within the past 1–2 years)
Solid foundation in Python programming
Interest in AI, ML, and generative AI applications
Available for the full 3-month program
🎯 Program Benefits
Real-world projects aligned with active AI job openings
Mentorship from top engineers at Google, Meta, CashApp, and Robin AI
Access to cutting-edge GPU infrastructure for training & deployment
Demo Day to present your work to hiring managers, AI founders, and recruiters
Warm introductions to partner companies actively hiring AI talent
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

.png)
