Learning plan cover

Improve SQL/Python/AI skills

LEARNING PLAN

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 coursesUpdated 5 days ago
Python Crash Course, 3rd EditionSQL Mastery: Essential Concepts That Actually MatterPython Cookbook9 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed’s proprietary AI to help you learn Improve SQL/Python/AI skills with ease. It is curated from in-depth research on the topic and structured around the most effective learning journeys proven by BeFreed users.

Each episode delivers bite-sized, high-impact lessons distilled from world-class sources — bestselling books, research papers, and expert insights. Together, they form a sophisticated yet accessible path to mastering Improve SQL/Python/AI skills.

What You'll Learn

  • 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.

9 m
podcast cover
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
6 sources
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.

Python Cookbook cover
Python Cookbook

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

10 m
Designing Data-Intensive Applications cover
Designing Data-Intensive Applications

Comprehensive guide to building scalable data systems

9 m

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

Hands-On Machine Learning with Scikit-Learn and TensorFlow cover
Hands-On Machine Learning with Scikit-Learn and TensorFlow

Step-by-step guide to machine learning with Python

8 m
podcast cover
source 1source 2source 3source 4
6 sources
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.

27 m

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

Make Your Own Neural Network cover
Make Your Own Neural Network

Step-by-step guide to building neural networks for beginners.

8 m
podcast cover
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 ...
6 sources
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.

20 m
podcast cover
The 25 Most Common AI Engineers Interview QuestionsCommon AI Engineer Interview Questions & Answers (2025)AI Engineer Interview Questions: The Ultimate Preparation ...source 4
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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.

8 m

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