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Deep Atlas

Paid
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About

Deep Atlas offers intensive, cohort-based or self-paced programs designed to accelerate learning in applied AI. It condenses months of study into weeks of hands-on curriculum, covering foundational concepts in linear algebra, calculus, and statistics, as well as shallow learning, deep learning, pretrained models (fine-tuning, transfer learning), and advanced AI engineering topics like RAG, agents, and evaluations. The program emphasizes mastering fundamentals to design, build, and ship AI products. Students work alongside peers and gain access to an exclusive professional network and job board. Deep Atlas aims to equip technologists to shape the evolving AI landscape. The team previously founded Hack Reactor, a well-known coding school.

Platform
Web
Task
ai learning

Features

didactic format with student engagement and on-demand support

choice of immersive (in-person) or self-paced (online) learning paths

mastering fundamentals for designing, building, and shipping ai products

exclusive professional network with weekly meetups and job board

deep learning foundation (neural network architectures)

llm implementation (context engineering, rag, agentic workflows)

hands-on ml experience (data cleaning, feature engineering, training, evaluation)

complete project-based, industry-aligned curriculum

Pricing Plans

Immersive
$6800.00 / one-time

100hr+ of lectures and projects

2 weeks, full-time commitment

Live instruction

On-demand support

Next Cohort Nov 10 - Nov 21 (SF)

In-Person (SF or NYC)

Self-paced
$3499.00 / one-time

100hr+ of lectures and projects

At your own pace commitment

Videos + discussion instruction

Async help desk support

Start Immediately

Remote (Online)

Job Opportunities

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