Learning plan cover

Expand IT skills in dev, programming & AI

LEARNING PLAN

Expand IT skills in dev, programming & AI

This learning plan is designed for professionals looking to transition into or advance within the technology sector, particularly in software development and AI. It's ideal for career changers, traditional IT professionals seeking to modernize their skillset, or anyone wanting to understand and leverage the technologies shaping the future of work. The progression from foundational programming to cutting-edge AI ensures you build both the core competencies and specialized knowledge needed in today's tech-driven economy.

ByCommunity User
2 h 35 m
12 coursesUpdated 4 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 Expand IT skills in dev, programming & AI 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 Expand IT skills in dev, programming & AI.

What You'll Learn

  • Build a strong programming foundation using Python and master core concepts applicable to any language
  • Learn professional software engineering practices including clean code, refactoring, and industry-standard development techniques
  • Gain practical understanding of artificial intelligence and machine learning, from fundamentals to hands-on model building
  • Master advanced AI technologies including deep learning, neural networks, and large language models
  • Develop the skills to write maintainable, scalable code that meets professional standards
  • Understand how modern AI systems work internally and apply them to real-world problems

Build a solid foundation in programming with Python, learning essential concepts and syntax that apply across all languages. Master the fundamentals that every developer needs to know.

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
podcast cover
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

Elevate your coding craft by mastering clean code principles, refactoring techniques, and software engineering best practices used at top tech companies. Learn to write maintainable, scalable code that teams love to work with.

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
Refactoring: Improving the Design of Existing Code cover
Refactoring: Improving the Design of Existing Code

Transform code safely with small, behavior-preserving steps.

9 m
podcast cover
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 world of artificial intelligence and machine learning. Understand how AI works, explore neural networks, and gain hands-on experience building ML models with modern frameworks.

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
Artificial Intelligence cover
Artificial Intelligence

A captivating exploration of AI's potential and limitations, demystifying the hype and addressing crucial questions about machine intelligence.

9 m
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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

Master cutting-edge AI technologies including neural networks, large language models, and AI agents. Explore how modern AI systems work under the hood and their real-world applications.

Make Your Own Neural Network cover
Make Your Own Neural Network

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

8 m
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Guide to Large Language Models (LLMs): Capabilities and ApplicationsA Survey of Large Language Models: Evolution, Architectures, Adaptation, Benchmarking, Applications, Challenges, and Societal ImplicationsLarge language models: an overview of foundational architectures, recent trends, and a new taxonomysource 4
6 sources
All About LLMs: The AI Revolution Explained

Lena and Eli break down everything about Large Language Models - from how ChatGPT predicts words to transformer architecture, real-world applications, and why understanding LLMs is essential for the future.

10 m
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Keras Reinforcement Learning ProjectsAI Agent Architecture: Frameworks, Patterns & Best PracticesSmythOS - AI Agent Architecture: Building Blocks for Intelligent SystemsArtificial Intelligence and Generative AI for Beginners
6 sources
AI Agent Study 101: Your Complete Guide

Dive into the fascinating world of AI agents with Lena and Eli as they break down everything from reinforcement learning to multi-agent frameworks. Discover how machines are learning to think independently and transform industries.

9 m

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