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
9 coursesUpdated 123 days ago
Cloud ComputingKubernetes: Taming the Container ChaosKubernetes Patterns9 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

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
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

Discover more

Im a senior consultant at Microsoft with a technical background trying to deepen my experience with developing and deploying in Azure. Whether custom C# applications in containers deployed or Power Apps following low code principles from a developer perspective. I would also like to learn AI and how I can develop solutions that tie it in to the professional grade solutions I’m building.

Im a senior consultant at Microsoft with a technical background trying to deepen my experience with developing and deploying in Azure. Whether custom C# applications in containers deployed or Power Apps following low code principles from a developer perspective. I would also like to learn AI and how I can develop solutions that tie it in to the professional grade solutions I’m building.

LEARNING PLAN

Im a senior consultant at Microsoft with a technical background trying to deepen my experience with developing and deploying in Azure. Whether custom C# applications in containers deployed or Power Apps following low code principles from a developer perspective. I would also like to learn AI and how I can develop solutions that tie it in to the professional grade solutions I’m building.

This learning plan bridges the gap between traditional development and modern cloud-native approaches for technical professionals seeking to enhance their Azure expertise. It's ideal for consultants and developers who need to deliver enterprise-grade solutions while leveraging Microsoft's full technology stack including containers, low-code platforms, and AI services.

2 h 9 m4 Sections
I’m a senior consultant at Microsoft and want to sharpen my skills in power apps and custom app development and deployment in Azure. I also want to learn AI from dev pov and how to tie it into solutions I build

I’m a senior consultant at Microsoft and want to sharpen my skills in power apps and custom app development and deployment in Azure. I also want to learn AI from dev pov and how to tie it into solutions I build

LEARNING PLAN

I’m a senior consultant at Microsoft and want to sharpen my skills in power apps and custom app development and deployment in Azure. I also want to learn AI from dev pov and how to tie it into solutions I build

As enterprises increasingly adopt Microsoft's cloud ecosystem, consultants need advanced skills spanning Power Platform, Azure development, and AI integration. This learning plan equips senior consultants with the technical expertise to architect comprehensive solutions that leverage Microsoft's full technology stack while addressing complex business requirements.

2 h 2 m4 Sections
Learn to use AI at work

Learn to use AI at work

LEARNING PLAN

Learn to use AI at work

As AI transforms workplaces across industries, professionals who can effectively leverage these technologies gain significant competitive advantages. This learning plan equips you with practical AI skills and strategic insights to enhance your productivity, solve complex problems, and position yourself as an AI-savvy leader in your organization.

3 h 27 m4 Sections
AI basics

AI basics

LEARNING PLAN

AI basics

As AI rapidly transforms the global economy, technical literacy has become a vital asset for professionals across all industries. This plan is designed for aspiring developers and curious thinkers who want to move beyond the hype to build and understand actual intelligent systems.

2 h 57 m4 Sections
AI, machine learning

AI, machine learning

LEARNING PLAN

AI, machine learning

This learning plan is essential for anyone looking to enter or advance in the rapidly growing field of artificial intelligence, whether you're a software developer, data professional, or career changer. It provides both the theoretical foundation and practical skills needed to build real AI systems, while also addressing the critical ethical considerations that every AI practitioner must understand. Perfect for those who want to go beyond surface-level AI knowledge and develop the expertise to create, deploy, and responsibly manage machine learning solutions.

1 h 54 m4 Sections
Master AI & ML for career advancement

Master AI & ML for career advancement

LEARNING PLAN

Master AI & ML for career advancement

This learning plan is designed for aspiring AI professionals who want to transition into one of the fastest-growing and highest-paying tech fields. Whether you're a complete beginner or a developer looking to specialize in AI, this structured path takes you from foundational concepts through advanced implementation skills, culminating in career-ready expertise that employers actively seek in today's AI-driven market.

1 h 58 m4 Sections
Learn science, tech, and AI research trends

Learn science, tech, and AI research trends

LEARNING PLAN

Learn science, tech, and AI research trends

This learning plan is essential for professionals and students looking to stay ahead in a rapidly evolving digital landscape. It provides a comprehensive bridge between fundamental scientific reasoning and the cutting-edge applications of artificial intelligence.

2 h 7 m4 Sections
Explore Local AI Models and Infrastructure

Explore Local AI Models and Infrastructure

LEARNING PLAN

Explore Local AI Models and Infrastructure

This plan is essential for developers and IT architects who need to maintain data sovereignty while leveraging powerful AI capabilities. It bridges the gap between theoretical model building and the practical infrastructure required to run private, secure, and automated AI systems.

3 h 20 m4 Sections

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