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
12 coursesUpdated 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
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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.

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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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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
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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.

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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
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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
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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