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How to Build Your Cloud Learning Plan for 2025

PLUS: The World's First Mini AI PC

In Today’s Cloudbites:

3 Common Mistakes to Avoid When Learning Cloud

🤔 How to Build Your Cloud Learning Plan

☁️ Online Cloud Events to Look Forward to

🤫 PLUS: Introducing the World’s First Mini AI PC

Read time: 5 minutes

Hi friends, welcome back to Cloudbites

In this newsletter, we’ll talk about how to build your Cloud learning plan to help you effectively achieve your goals and avoid some common mistakes. I’ll also share about ASUS’ newest AI-enabled mini PC.

CLOUD COMPUTING ☁️

  3 Common Mistakes to Avoid When Learning Cloud

Learning cloud computing can reveal many opportunities, but getting started can be challenging.

To help you achieve your goals quicker, here are 3 common mistakes you can avoid in your learning journey:

#1 Overlooking the Basics

Jumping straight into advanced concepts like machine learning or big data can be tempting. 

However, understanding the core concepts like the shared responsibility model lays the groundwork to expand your knowledge. 

Without having a foundational knowledge, it can be difficult to progress further in the long-term.

#2 Trying to Learn Everything at Once

AWS, for example, offers 200+ services. Aiming to learn all Cloud services simultaneously is not only unrealistic, but also counterproductive.

Start by focusing on essential services like S3 (storage), EC2 (compute), and IAM (security). 

These services will give you the skills to build basic Cloud solutions while gradually introducing you to more complex services.

#3 Not Doing Any Hands-On Practice

Many beginners rely solely on videos and documentation without experiencing how to build projects themselves. 

Hands-on practice is crucial to solidify your understanding and gain confidence in applying your skills.

If you’re interested in getting started, check out my YouTube video on 5 Beginner AWS Cloud Projects To Get You Hired (2025).

 🤔 How to Build Your Cloud Learning Plan

Learning AWS can feel overwhelming due to the significant number of services available. 

That’s why a structured learning schedule can help you stay focused and avoid burnout. Here’s how you can build one:

#1 Define Your Goals

Start by identifying why you want to learn the Cloud. Are you preparing for a certification, improving job skills, or building a specific project? 

Having clear goals will guide your schedule and help you prioritize relevant topics.

#2 Break Down Topics

Focus on foundational services first. You should prioritize core services like S3 (storage), EC2 (compute), IAM (security), and RDS (databases). 

I’d recommend allocating 1-2 weeks to each service, ensuring a balance between theory and practice to help you understand better. 

#3 Incorporate Hands-On Practice

Learning the Cloud is most effective when you apply what you’ve learned. 

Take advantage of the available resources like the AWS Free Tier to experiment creating S3 buckets, launching EC2 instances, and many more.

#4 Allocate Time

Consistency is key when it comes to learning the Cloud. 

It’s best to dedicate at least 1-2 hours daily or 8-10 hours weekly. To manage your time, you can use weekdays for studying concepts and weekends for hands-on practice.

#5 Track Your Progress

Review your progress weekly and adjust your schedule as needed.

Regular self-assessments and practice tests will help you identify areas for improvement.

☁️ Online Cloud Events to Look Forward to

#1 AWS – Cloud Practitioner Essentials (On-demand)

Learn how to use AWS services and how to benefit from AWS security and compliance services.

Click here to register. 

#2 AWS – Generative AI (On-demand)

This series will guide you how to leverage Amazon Bedrock and LangChain to create generative AI applications on AWS.

Click here to register. 

#3 AWS – Associate Certification (On-demand)

Join AWS experts to help you build the skills and knowledge you’ll need to prepare for one of the three AWS Associate exams.

Click here to register.  

ARTIFICIAL INTELLIGENCE (AI) 🤖

🤫 PLUS: Introducing the World’s First Mini AI PC

ASUS just announced the launch of ASUS NUC 14 Pro AI, a mini PC featuring Intel Core Ultra processors (Series 2) integrated with Microsoft Copilot+.

 💡 Here’s what you should know:

  • The mini PC supports Microsoft Copilot+ requirements and offers three times the AI performance of previous models

  • It has a small footprint and includes advanced thermal management

  • The device includes built-in microphones, speakers with Smart Amp technology, and a dedicated Copilot button enable seamless interaction with AI tools

With its compact dimensions and advanced AI capabilities, ASUS NUC 14 Pro AI is said to set a new benchmark for mini PC innovation.

THAT’S A WRAP

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Thanks for reading! 😊

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