Learning plan cover

Master in-demand tech skills

LEARNING PLAN

Master in-demand tech skills

This learning plan provides a comprehensive path from programming fundamentals to advanced system architecture, covering the most sought-after skills in today's tech industry. It's ideal for aspiring software engineers, career changers looking to break into tech, and developers wanting to level up from junior to mid-level positions. With AI/ML expertise and cloud architecture knowledge increasingly becoming baseline requirements, this curriculum addresses the complete modern developer skill set employers are actively seeking.

ByCommunity User
2 h 15 m
12 coursesUpdated 5 days ago
Python for EverybodyPython Crash Course, 3rd EditionComplete Software Engineer Roadmap: Beyond Just Code12 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed’s proprietary AI to help you learn Master in-demand tech 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 Master in-demand tech skills.

What You'll Learn

  • Build a strong programming foundation with Python and core concepts that translate to any language
  • Write professional-grade, maintainable code using industry-standard practices and design patterns
  • Create machine learning models and leverage AI tools that are reshaping modern industries
  • Design and deploy scalable, production-ready systems using cloud infrastructure and microservices
  • Transition from coding hobbyist to career-ready developer with in-demand technical skills
  • Gain the complete skill set needed to build, scale, and maintain real-world software systems

Build a solid programming foundation with Python, learning core concepts like variables, loops, and functions that apply across all languages.

Python for Everybody cover
Python for Everybody

Introduction to Python programming for all levels

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

Comprehensive guide to learning Python programming.

9 m
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source 1source 2How to Become a Software Engineer (2025 Guide)10 Essential Software Engineer Skills
6 sources
Complete Software Engineer Roadmap: Beyond Just Code

Master the full spectrum of software engineering - from technical foundations and AI tools to business thinking, specialization strategies, and building a thriving career in tech.

38 m

Master professional software engineering practices—from clean code principles to design patterns—that separate hobbyists from career developers.

Clean Code cover
Clean Code

A practical guide to writing readable, maintainable code that will make you a better programmer and team player.

9 m
A Philosophy of Software Design, 2nd Edition cover
A Philosophy of Software Design, 2nd Edition

John Ousterhout's software design principles

9 m
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Clean CodeSummary of 'Clean code' by Robert C. Martin - GitHub GistThe Core Principles of Writing a Clean Code | Axolo BlogWhat Is Clean Code? A Guide to Principles and Best Practices
6 sources
The Hidden Language That Shapes Everything

Discover the art of writing software that speaks clearly to both machines and humans. Learn why clean code isn't just about making programs work, but about crafting code that tells a story and invites collaboration.

11 m

Dive into the hottest tech skill of our era, learning how to build ML models and understand the AI tools transforming every industry.

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
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The 25 Most Common AI Engineers Interview QuestionsCommon AI Engineer Interview Questions & Answers (2025)AI Engineer Interview Questions: The Ultimate Preparation ...source 4
6 sources
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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AI 101: The Fundamentals of Artificial Intelligence - NtivaArtificial Intelligence (AI) Basics for Beginners | Learning TreeAI for Beginners: Artificial Intelligence Explained in Simple TermsUnderstanding Artificial Intelligence
6 sources
AI Explained: From Zero to Understanding

Strip away the jargon and discover what artificial intelligence really is. Learn how AI already powers your daily life and get practical tips for using these powerful tools responsibly.

9 m

Learn to design and deploy robust, scalable systems using cloud infrastructure, microservices, and the architectural patterns powering modern tech giants.

Designing Data-Intensive Applications cover
Designing Data-Intensive Applications

Comprehensive guide to building scalable data systems

9 m
System Design Interview – An Insider's Guide cover
System Design Interview – An Insider's Guide

Practical guide for acing system design interviews

9 m
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Google SRE book- Comprehensive guide to site reliabilitySite reliability engineering book Google indexGoogle SRE Principles: SRE Operations and How SRE Teams WorkPart III - Practices
6 sources
Google's SRE Revolution: Engineering Reliability at Scale

Deep dive into Google's Site Reliability Engineering approach, exploring error budgets, toil elimination, and how to transform system reliability from afterthought to competitive advantage.

8 m

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