Learning plan cover

AI, machine learning

LEARNING PLAN

AI, machine learning

This learning plan is essential for anyone looking to enter or advance in the rapidly growing field of artificial intelligence, whether you're a software developer, data professional, or career changer. It provides both the theoretical foundation and practical skills needed to build real AI systems, while also addressing the critical ethical considerations that every AI practitioner must understand. Perfect for those who want to go beyond surface-level AI knowledge and develop the expertise to create, deploy, and responsibly manage machine learning solutions.

ByCommunity User
1 h 54 m
12 coursesUpdated 5 days ago
Artificial IntelligenceArtificial Intelligence and Generative AI for BeginnersAI Explained: From Zero to Understanding12 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed’s proprietary AI to help you learn AI, machine learning 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 AI, machine learning.

What You'll Learn

  • Build a foundational understanding of AI and machine learning principles, including how these technologies work and their real-world applications
  • Master essential machine learning algorithms and gain practical coding experience using Python and industry-standard frameworks
  • Develop expertise in deep learning, neural networks, and cutting-edge architectures like transformers and large language models
  • Learn to implement AI systems from scratch through hands-on projects and real-world problem-solving
  • Understand the ethical implications, societal impacts, and future directions of artificial intelligence technology

Build a solid understanding of what AI and machine learning really are, how they work, and why they matter in today's world.

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
Artificial Intelligence and Generative AI for Beginners cover
Artificial Intelligence and Generative AI for Beginners

Comprehensive guide to AI and generative AI for all skill levels.

9 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

Master the essential machine learning algorithms and gain hands-on experience building real systems with Python and modern frameworks.

The Master Algorithm cover
The Master Algorithm

An illuminating exploration of machine learning's potential to revolutionize our world through a unified, all-powerful algorithm.

10 m
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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source 1Machine Learning: Concepts, Algorithms & Real-World Applicationssource 3Introduction to Machine Learning - GeeksforGeeks
6 sources
Machine Learning: From Simple Algorithms to Neural Networks

Explore the fascinating evolution of machine learning from 1950s perceptrons to today's transformers. Discover how machines learn, practical algorithms, real-world applications, and why this field is reshaping our world.

10 m

Explore the cutting-edge world of neural networks, from building your first network to understanding transformers and large language models.

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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source 1Fundamentals of Artificial Neural Networks and Deep LearningNeural Networks and Deep Learning: A Comprehensive Introductionsource 4
6 sources
Neural Networks: From Brain Biology to AI Revolution

Discover how artificial neural networks mimic human brains to power everything from face recognition to self-driving cars. Learn the elegant math behind machine intelligence and explore real-world applications transforming our daily lives.

11 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

Grapple with the profound ethical challenges, societal impacts, and future possibilities of artificial intelligence in our world.

The Alignment Problem cover
The Alignment Problem

A riveting exploration of AI's ethical challenges and the quest to align machine learning with human values.

11 m
Life 3.0 cover
Life 3.0

Exploring the future of artificial intelligence

10 m
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Agentic AI Tools: Key Capabilities & 7 Tools to Know in 2025What is Agentic AI? Benefits, Risks, and Outlook - HUMAN SecurityAgentic AI Explained: Key Features, Benefits, and Real-World ImpactThe Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey
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Agentic AI: Beyond Chatbots to Digital Colleagues

Explore how AI is evolving from responding to prompts to setting goals and taking autonomous action. Discover real applications, limitations, and what this means for your future.

9 m

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