Deep Atlas
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About
Deep Atlas provides a premium program designed for experienced software engineers to learn and build machine learning models effectively. The program focuses on creating a comprehensive understanding of ML engineering through intensive self-study and cohort-learning experiences. Participants will learn key skills, such as explaining ML model training processes, applying prompt engineering, utilizing retrieval-augmented generation, and developing intelligent agents. Deep Atlas promotes an immersive learning environment, guided by experienced peers and a carefully designed curriculum aimed at practical ML skills. It offers both full-time and part-time cohort modes, ensuring flexibility for participants with busy schedules. The curriculum blends theory with practice, preparing students for real-world challenges in the evolving field of AI.
Platform
Task
Features
• hands-on machine learning coursework
• community of experienced peers
• access to knowledgeable instructors
• live lectures and group discussions
• pair programming sessions
FAQs
Who is the course designed for?
The course is designed for professional software engineers with 5+ years experience, though others like data scientists and hardware engineers are welcome.
What are the outcomes from the course?
Graduates typically enhance their contributions to AI/ML initiatives, with some moving into dedicated ML roles.
Why is the course worth my time and money?
The curriculum distills essential knowledge for productivity in AI/ML, offering a structured path and community support.
What if I have some ML experience?
You will benefit from pushing the curriculum boundaries, but prior ML experience is not required.
Will my employer pay the tuition?
Many students receive employer assistance for tuition, and you can apply for reimbursement.
Are there math prerequisites?
Yes, basic knowledge in linear algebra, calculus, and statistics is recommended, with preparatory materials provided.
How are the 2 and 4-week programs different?
The 4-week program is an extended version of the 2-week program with the same curriculum.
How do I get started?
You can start by applying, and following an interview process for program details.
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