I bundled my 6 crash courses with 60% off

2024-06-18 · Source: To Data & Beyond · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Software Development & Engineering · Depth: Novice, quick

Summary

Youssef Hosni has released a new bundle of six practical crash courses in AI engineering, LLM applications, RAG systems, Claude Code, and career preparation. This bundle is offered at a discounted price of $40, representing approximately 60% off the individual course price of $85. The included courses cover technical topics such as "Claude Code Skills 101," "Designing Production Ready RAG System," "Agentic RAG with DeepSeek R1," and "LLM Roadmap Crash Course." Additionally, the bundle addresses career development with courses like "Build a Resume That Lands AI Engineering and Data Science Interviews" and "Building an Outstanding Data Science Portfolio." The bundle aims to equip learners with skills for designing and building modern AI applications, alongside enhancing their job application materials for AI and data science roles.

Key takeaway

For AI Engineers, Machine Learning Engineers, or Data Scientists seeking to advance their technical skills and career prospects, consider this course bundle. It provides practical knowledge in LLM applications, RAG systems, and Claude Code, alongside guidance on resume and portfolio building. Investing in this bundle can streamline your learning path and enhance your marketability for competitive roles, offering a cost-effective way to acquire relevant expertise.

Key insights

A new course bundle offers practical AI engineering and career development skills at a significant discount.

Principles

• Combine technical skills with career preparation.
• Practical application drives AI engineering proficiency.

In practice

• Learn production RAG and agentic RAG systems.
• Develop Claude Code skills for reusable workflows.
• Improve resumes and portfolios for AI/data roles.

Topics

• AI Engineering
• LLM Applications
• RAG Systems
• Claude Code Skills
• Agentic RAG

Best for: AI Engineer, Machine Learning Engineer, Data Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by To Data & Beyond.