Learning plan cover

Learn Azure dev, deployment & AI fundamentals

LEARNING PLAN

Learn Azure dev, deployment & AI fundamentals

Azure skills are increasingly in demand as more organizations migrate to cloud-based infrastructure. This learning plan provides developers and IT professionals with practical knowledge to leverage Azure's development, deployment, and AI capabilities for building modern, intelligent applications.

ByCommunity User
2 h 27 m
10 coursesUpdated 4 days ago
Cloud ComputingKubernetes: Taming the Container ChaosKubernetes Patterns10 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed’s proprietary AI to help you learn Learn Azure dev, deployment & AI fundamentals 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 Azure dev, deployment & AI fundamentals.

What You'll Learn

  • Master Azure's core cloud infrastructure and service models
  • Deploy and manage cloud-native applications using containers and microservices
  • Design scalable, secure architectures for enterprise-level workloads
  • Implement AI and machine learning solutions within Azure applications
  • Develop practical skills for building and maintaining production-ready Azure solutions

Master the core concepts of Azure cloud computing, understanding the essential infrastructure and services that form the foundation of Azure development.

Cloud Computing cover
Cloud Computing

A comprehensive guide demystifying cloud computing for business users, covering key concepts, best practices, and emerging trends.

10 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

Learn practical development techniques and deployment strategies for Azure, focusing on microservices, containerization, and cloud-native applications.

Kubernetes Patterns cover
Kubernetes Patterns

Proven design patterns for cloud-native Kubernetes applications

9 m
Building Microservices cover
Building Microservices

Comprehensive guide to designing, implementing, and scaling microservices architectures, covering key concepts, technologies, and real-world applications for distributed systems.

9 m
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GitHub - anokfireball/homelab-as-code: IaC for going from empty disks to running HA homelab cluster managed using GitOps within 2(-ish) clicksIsolated Kubernetes Cluster on Proxmox with Terraform and Ansible - part 1GitOps Infrastructure Workflow with FluxCD and Terraformsource 4
6 sources
Homelab as Code: Complete Infrastructure Automation

Transform your homelab into enterprise-grade infrastructure using Proxmox, Terraform, Ansible, Kubernetes, and Flux. Learn to go from empty disks to fully operational clusters in just clicks through GitOps workflows.

17 m

Develop skills to architect scalable, reliable Azure solutions that can handle enterprise workloads while maintaining security and performance.

Architecting for Scale cover
Architecting for Scale

Essential guide for building highly available, scalable systems in the cloud. Practical techniques for managing risk and ensuring reliability.

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

Explore Azure's AI and machine learning capabilities, learning how to integrate intelligent solutions into your applications for enhanced functionality.

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
podcast cover
Creating a bigquery SQL agent in Microsoft co pilot which can create code using the data schema of key files used in my department.source 2source 3source 4
6 sources
Building BigQuery SQL Agents in Microsoft Copilot

Learn to create intelligent SQL agents that understand your department's data schemas and generate contextual BigQuery code through Microsoft Copilot integration.

22 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

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