A 12-week structured program taught by frontline MLEs and applied scientists from top Silicon Valley companies. We've helped 100+ students break into cutting-edge AI and grow into the LLM leads of their teams.
12-week small cohort · No AI background required, but Python & classic ML basics expected
Most class time goes to one-on-one feedback on your pre-class assignments. Every project is run to startup standards, so you walk into interviews with real work to show.
Content maps directly to real requirements for LLM pretraining / post-training and Agent engineering at big tech.
5–12 new students per cohort, keeping class sizes intimate to ensure quality for every student. Refer a friend and earn a $100–200 scholarship.
Returning students team up and run the full cycle — from topic to delivery — at startup standards.
Interview skills, resume polishing, promotions and career planning — dedicated support throughout.
From AI tools and deep learning foundations, all the way to NLP, GenAI systems, LLM deployment & fine-tuning, and AI Agent engineering.
AI tooling: ChatGPT, Cursor, Cline, Claude Code, Google Colab — plus student introductions.
Deep learning models, computer vision basics, and neural network building blocks.
Different embedding approaches and core application scenarios, such as sentiment analysis.
Transformers and attention in depth, plus the challenges and solutions around long context.
Dive into loss functions, train your own embedding model, and learn how to distill models.
Assignment review and job/interview Q&A; project topics, team structure, planning and task assignment.
Understand search & ads applications and how they create value in core business scenarios.
Production chatbots, prompt engineering, and GenAI system design, evaluation & benchmarking from basic to advanced.
LLM deployment, supervised fine-tuning, data synthesis, and reinforcement learning.
Intro and real-world Agent scenarios: MCP, Skills, Harness Engineering, Claude Code, LangGraph, and Agent evaluation.
Projects run for about a month; each is supported by two mentors across brainstorming, technical support and mock sessions. A final project showcase held to industry standards — polish your work into a presentable result.
Industry veterans share cutting-edge practices and career insights.
From physics, chemistry, healthcare and finance to BI, students of every background make the jump into AI here.
Physics background → data science → LLM role. Landed an AI position at a MANNG company.
Physics → finance DS → retail AI Engineer, and is now CTO of a startup.
Years of healthcare experience, successfully transitioned into a healthcare AI Engineer.
A data analyst hit by layoffs on an H1B — landed an AI Engineer role in just two months.
A data scientist from the traditional chemical industry, successfully became an AI Engineer.
“The program gave me the courage and confidence to start my own company.”
Moved from big-tech BI into an AI-focused TPM / PM role.
A big-tech data science executive staying current with the latest AI developments.
A MANNG software engineer keeping pace with the latest in AI.
We've made past student demos, industry talks and a trial class public — get a feel for the pace.
Limited seats, small cohorts. Leave us a message and we'll get back to you with the details.
Or reach us on WeChat: kk2juzi · Email info@easylearning.ai
