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BeFreed

Learn Anything, Personalized

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Featured book summaries
Crucial ConversationsThe Perfect MarriageInto the WildNever Split the DifferenceAttachedGood to GreatSay Nothing
Trending categories
Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
Celebrities' reading list
Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
Award winning collection
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Featured Topics
ManagementAmerican HistoryWarTradingStoicismAnxietySex
Best books by Year
2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
Learning tools
Knowledge VisualizerAI Podcast Generator
Featured authors
Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
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© 2025 BeFreed
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    Learning plan cover

    Become pro AI architect

    LEARNING PLAN

    Become pro AI architect

    AI architecture has become one of the most critical and high-demand skills as organizations race to integrate intelligent systems into their products and operations. This learning path is designed for software engineers, data scientists, and technical professionals who want to move beyond basic AI implementation to become strategic architects capable of designing sophisticated, production-grade AI systems that solve complex business problems.

    ByCommunity User
    2 h 19 m
    • 4 sections • 12 courses • Updated 4 days ago
    Hands-On Machine Learning with Scikit-Learn and TensorFlowMake Your Own Neural NetworkMastering AI: From Neural Networks to ChatGPT12 sources

    How This Learning Plan Was Made

    This plan was crafted by BeFreed’s proprietary AI to help you learn Become pro AI architect 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 Become pro AI architect.

    What You'll Learn

    • Build a comprehensive foundation in AI, machine learning, and neural networks to understand how intelligent systems operate
    • Master modern deep learning architectures including transformers and design patterns that drive today's AI applications
    • Develop production engineering skills to deploy, scale, and maintain AI systems using MLOps best practices
    • Gain expertise in cutting-edge autonomous and agentic AI systems that can operate independently
    • Acquire the strategic and technical knowledge to architect end-to-end AI solutions for real-world challenges

    Build a solid foundation in artificial intelligence, machine learning principles, and neural networks—understanding how AI systems learn and make decisions.

    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
    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
    source 1A Comprehensive Overview of Large Language Models - arXivsource 3source 4
    6 sources
    Mastering AI: From Neural Networks to ChatGPT

    Unlock the secrets behind ChatGPT and large language models. Learn how probabilistic text generation, neural networks, and embeddings create AI that seems almost magical-and master these tools through deep understanding.

    28 m

    Master neural network architectures, transformer models, and advanced deep learning patterns that power modern AI systems.

    podcast cover
    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
    podcast cover
    Kimi-Linear : An Expressive, Efficient Attention ArchitectureAI Just Broke the Million-Token Barrier: How Kimi Linear's 6.3Kimi Linear: An Expressive, Efficient Attention Architecture | alphaXivKimi-Linear : Bye Bye Transformers | by Mehul Gupta - Medium
    6 sources
    Kimi Linear: The AI Architecture Revolution

    Discover how Kimi Linear's breakthrough architecture processes million-token contexts 6.3x faster while using 75% less memory, potentially ending the era of traditional Transformers through intelligent forgetting and hybrid attention mechanisms.

    7 m
    Keras Reinforcement Learning Projects cover
    Keras Reinforcement Learning Projects

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

    9 m

    Learn to design, deploy, and scale production-ready AI systems with best practices in MLOps, system architecture, and infrastructure.

    Designing Data-Intensive Applications cover
    Designing Data-Intensive Applications

    Comprehensive guide to building scalable data systems

    9 m
    podcast cover
    source 1RAG Architecture: Complete Guide to Retrieval-Augmented ...Reference Architecture : Retrieval Augmented Generation (RAG)Optimizing Chunking, Embedding, and Vectorization for Retrieval ...
    6 sources
    RAG & Vector Databases: Cloud Architecture Deep Dive

    Master RAG implementation from chunking strategies to Kubernetes deployment patterns. Explore vector database selection, optimization techniques, and production-ready cloud architectures for enterprise AI systems.

    23 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

    Explore cutting-edge AI architectures, autonomous agentic systems, and strategic approaches to building intelligent, self-directed AI solutions.

    podcast cover
    Agentic AI Architecture: Types, Components & Best PracticesAgentic AI Architectures And Design Patterns | by Anil Jain - MediumKey components of a data-driven agentic AI application - AWSAgentic AI Architecture Framework for Enterprises
    6 sources
    Building Agentic AI Systems in Software Engineering

    Deep dive into revolutionary AI that thinks, plans, and acts autonomously. Learn practical architectures, implementation patterns, and governance frameworks for building intelligent systems in software companies.

    10 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
    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
    Software Architecture in Practice cover
    Software Architecture in Practice

    Architecture decisions shape your software's destiny-master them now.

    10 m

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