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AI & Machine/Deep Learning

LEARNING PLAN

AI & Machine/Deep Learning

This comprehensive learning plan is essential for anyone looking to understand and work with the technologies reshaping our world. Whether you're a software engineer expanding into AI, a data professional seeking deeper technical knowledge, or a technical leader needing to understand AI capabilities, this path takes you from foundational concepts through advanced implementations to future-focused perspectives on where AI is heading.

ByCommunity User
1 h 50 m
12 coursesUpdated 3 days ago
The Master AlgorithmAI Explained: From Zero to UnderstandingMachine Learning: From Simple Algorithms to Neural Networks12 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed’s proprietary AI to help you learn AI & Machine/Deep 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/Deep Learning.

What You'll Learn

  • Master the fundamental concepts of AI and machine learning, including core algorithms and how intelligent systems actually work
  • Build and architect neural networks from scratch, progressing to advanced deep learning models and transformer architectures
  • Gain hands-on experience implementing AI solutions using industry-standard frameworks and deploying models to production
  • Understand cutting-edge developments in agentic AI, reinforcement learning, and emerging AI paradigms
  • Explore the trajectory toward artificial general intelligence and its transformative implications for society and the future

Build a solid understanding of what AI and machine learning really are, how they work, and the core algorithms that power intelligent systems.

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
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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
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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

Dive deep into neural networks and modern deep learning techniques, from building your first network to understanding the transformer architectures powering today's AI breakthroughs.

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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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source 1source 2source 3source 4
6 sources
LLM Fundamentals: Attention Is All You Need

Deep dive into how ChatGPT and large language models actually work, from the revolutionary attention mechanism to probabilistic text generation. Perfect for understanding the core concepts behind modern AI.

9 m

Master hands-on machine learning development with industry-standard frameworks and learn how to build, train, and deploy AI systems that solve real problems.

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
Keras Reinforcement Learning Projects cover
Keras Reinforcement Learning Projects

Build self-learning AI agents with 9 reinforcement learning projects using Keras.

9 m

Explore cutting-edge topics including agentic AI, superintelligence, and the profound implications of artificial general intelligence for humanity's future.

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Superintelligence

The potential risks and benefits of advanced AI

9 m
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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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