Learning plan cover

Learn AI Development & Cloud Architecture

LEARNING PLAN

Learn AI Development & Cloud Architecture

This comprehensive path bridges the gap between data science and cloud engineering, providing the dual expertise required for modern tech roles. It is ideal for software developers and aspiring data engineers who want to build and maintain production-grade AI applications in the cloud.

ByCommunity User
2 h 52 m
12 coursesUpdated 6 days ago
Artificial Intelligence and Generative AI for BeginnersHands-on Machine Learning With Scikit-learn And TensorflowAI 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 Learn AI Development & Cloud Architecture 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 Learn AI Development & Cloud Architecture.

What You'll Learn

  • Master Python programming and fundamental machine learning principles for AI.
  • Design scalable cloud-native applications using modern system architecture.
  • Build and train deep neural networks using TensorFlow and Keras.
  • Implement container orchestration and robust cloud infrastructure.
  • Deploy and scale production-ready AI systems using MLOps practices.
  • Manage the full lifecycle of AI models from development to deployment.

Build a solid foundation in artificial intelligence concepts, machine learning principles, and Python programming skills essential for AI development.

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
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
podcast cover
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 cloud computing principles, system design patterns, and container orchestration to build scalable, reliable cloud-native applications.

Designing Data-Intensive Applications cover
Designing Data-Intensive Applications

Comprehensive guide to building scalable data systems

9 m
Kubernetes Book cover
Kubernetes Book

A comprehensive guide to Kubernetes and container orchestration.

9 m
podcast cover
The Kubernetes BookKubernetes PatternsBuilding MicroservicesArchitecting for Scale
15 sources
Kubernetes: Taming the Container Chaos

Explore how Kubernetes has become the world's second-largest open source project, orchestrating containers at massive scale. Learn the architecture and components that power modern cloud-native applications.

30 m

Dive deep into neural network architectures, advanced AI techniques, and hands-on implementation using modern frameworks like TensorFlow and Keras.

Make your own neural network cover
Make your own neural network

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

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
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Keras Reinforcement Learning ProjectsPython CookbookWhat Is ChatGPT Doing ... and Why Does It Work?ChatGPT for Dummies
27 sources
Build an LLM from scratch on your laptop

Building AI feels impossible without a supercomputer, but you only need eight building blocks. Learn how to train your own model in under ten minutes.

31 m

Learn to deploy, monitor, and scale AI systems in production environments with robust cloud architecture and automated ML operations.

Kubernetes Patterns cover
Kubernetes Patterns

Proven design patterns for cloud-native Kubernetes applications

9 m
Building Secure and Reliable Systems cover
Building Secure and Reliable Systems

Google experts share best practices for designing, implementing, and maintaining secure and reliable systems at scale.

9 m
podcast cover
Keras Reinforcement Learning ProjectsArtificial Intelligence and Generative AI for BeginnersWhat Is ChatGPT Doing ... and Why Does It Work?ChatGPT for Dummies
24 sources
Build an LLM wiki that builds itself

Stop losing info in a graveyard of tabs. Learn to build an automated pipeline that turns raw sources into a self-maintaining knowledge graph.

32 m

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