Capa do plano de aprendizagem

Improve SQL/Python/AI skills

PLANO DE APRENDIZAGEM

Improve SQL/Python/AI skills

This comprehensive learning path takes you from data fundamentals to advanced AI, addressing the massive demand for professionals who can work across the full data-to-AI stack. It's ideal for software developers transitioning to data science, analysts looking to add ML capabilities, or anyone aiming to build production-ready AI systems in today's rapidly evolving tech landscape.

ByCommunity User
1 h 49 m
9 cursosAtualizado 11 days ago
Python Crash Course, 3rd EditionSQL Mastery: Essential Concepts That Actually MatterPython Cookbook9 sources

Como Este Plano de Aprendizagem Foi Criado

Este plano foi elaborado pela IA proprietária da BeFreed para ajudá-lo a aprender Improve SQL/Python/AI skills com facilidade. Ele é curado a partir de pesquisas aprofundadas sobre o tema e estruturado em torno das jornadas de aprendizagem mais eficazes comprovadas pelos usuários da BeFreed.

Cada episódio oferece lições concisas e de alto impacto destiladas de fontes de primeira linha — livros best-sellers, artigos de pesquisa e insights de especialistas. Juntos, eles formam um caminho sofisticado, mas acessível, para dominar Improve SQL/Python/AI skills.

O Que Você Aprenderá

  • Master SQL querying and Python programming fundamentals to confidently work with databases and write clean, efficient code
  • Transform raw data into insights using pandas, numpy, and industry-standard data engineering practices
  • Build and deploy machine learning models using Python's ML libraries to solve real-world prediction and classification problems
  • Develop advanced AI systems with deep learning, neural networks, and modern architectures like LLMs and RAG
  • Gain end-to-end skills from data extraction to production AI deployment, making you competitive for data science and ML engineering roles

Build a rock-solid foundation in Python and SQL fundamentals, learning the core syntax, data structures, and querying techniques that power modern data work.

Python Crash Course, 3rd Edition cover
Python Crash Course, 3rd Edition

Comprehensive guide to learning Python programming.

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10 Essential SQL Concepts Every Developer Should Know10 Core SQL Concepts Every Developer Needs to Know10 Essential SQL Queries Every Developer Should KnowSQL Query Optimization | Best Practices & Techniques - Acceldata
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SQL Mastery: Essential Concepts That Actually Matter

Learn the most impactful SQL fundamentals that separate basic querying from real-world database expertise. Master relationships, optimization, and performance strategies that scale.

10 m

Master Python's data science ecosystem with pandas, numpy, and real-world data manipulation techniques that transform raw data into actionable insights.

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Python Cookbook

Practical recipes for mastering Python 3, covering core language and various application domains.

10 m
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Designing Data-Intensive Applications

Comprehensive guide to building scalable data systems

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Dive into machine learning algorithms, neural networks, and AI concepts using Python's powerful ML libraries to build intelligent systems from scratch.

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Hands-On Machine Learning with Scikit-Learn and TensorFlow

Step-by-step guide to machine learning with Python

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AI Deep Dive: How Machine Learning Actually Works

Journey from AI's theoretical origins to today's breakthroughs. Nia and Eli decode neural networks, explore real applications, and reveal how humans and machines can work together to shape our intelligent future.

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Explore cutting-edge deep learning architectures, neural networks, and production AI systems including LLMs, RAG, and enterprise-scale deployments.

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Make Your Own Neural Network

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What is RAG? - Retrieval-Augmented Generation AI Explained - AWSWhat is Retrieval Augmented Generation (RAG)? - DatabricksRAG vs Traditional LLMs: Key Differences - Galileo AIIntroduction to RAG (Retrieval Augmented Generation) and Vector ...
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RAG vs LLMs: The AI Revolution Explained

Deep dive into Retrieval-Augmented Generation and vector databases - discover how RAG transforms AI accuracy by 13%, cuts costs 20x, and why it's replacing traditional LLMs in enterprise applications.

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AI Engineer Interview Mastery Guide

Jackson and Lena break down everything AI engineers need to ace technical interviews, from ML fundamentals and deep learning architectures to system design and real-world case studies.

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"Feels effortless compared to reading. I’ve finished 6 books this month already."

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