# Cloud

Cloud Development, Google, Certification, Microsoft Certification, Google Data Analytics, Microsoft/AWS Fundamentals

# Cloud/Development Cheatsheet

<span class="break-words
      "><span dir="ltr"> 𝗖𝗮𝗿𝗲𝗳𝘂𝗹𝗹𝘆 𝗖𝘂𝗿𝗮𝘁𝗲𝗱 𝗖𝗵𝗲𝗮𝘁𝘀𝗵𝗲𝗲𝘁𝘀   
</span></span>

1. <span class="break-words
          "><span dir="ltr">Python : [https://lnkd.in/grD8XUS6](https://lnkd.in/grD8XUS6)  
    2. Pandas : [https://lnkd.in/g4yTJ7CP](https://lnkd.in/g4yTJ7CP)  
    3. NumPy : [https://lnkd.in/gg9Uw-km](https://lnkd.in/gg9Uw-km)  
    4. Matplotlib [https://lnkd.in/gahrGicD](https://lnkd.in/gahrGicD)  
    5. Seaborn [https://lnkd.in/gcu4UKpw](https://lnkd.in/gcu4UKpw)  
    6. Scikit-learn [https://lnkd.in/gGfkNu5i](https://lnkd.in/gGfkNu5i)  
    7. TensorFlow : [https://lnkd.in/g3fw3uRV](https://lnkd.in/g3fw3uRV)  
    8. Keras : [https://lnkd.in/gfPTfbgg](https://lnkd.in/gfPTfbgg)  
    9. PyTorch [https://bit.ly/3lnsiIz](https://bit.ly/3lnsiIz)  
    10. SQL : [https://lnkd.in/gnwe4qcb](https://lnkd.in/gnwe4qcb)  
    11. R : [https://lnkd.in/gEgJ6A8j](https://lnkd.in/gEgJ6A8j)  
    12. Git : [https://lnkd.in/gyzhztvH](https://lnkd.in/gyzhztvH)  
    13. AWS [https://bit.ly/3ZQWMS1](https://bit.ly/3ZQWMS1)  
    14. Azure [https://bit.ly/42f4N4V](https://bit.ly/42f4N4V)  
    15. Google Cloud Platform : [https://bit.ly/3JJADzv](https://bit.ly/3JJADzv)  
    16. Docker : [https://bit.ly/3Lt2zJe](https://bit.ly/3Lt2zJe)  
    17. Kubernetes [https://lnkd.in/gjXCT7Mb](https://lnkd.in/gjXCT7Mb)  
    18. Linux Command Line : [https://bit.ly/3FtcTgw](https://bit.ly/3FtcTgw)  
    19. Jupyter Notebook [https://lnkd.in/g7cPmgHQ](https://lnkd.in/g7cPmgHQ)  
    20. Data Wrangling :[https://bit.ly/3TiMibP](https://bit.ly/3TiMibP)  
    21. Data Visualization : [https://lnkd.in/gQ52Jd\_J](https://lnkd.in/gQ52Jd_J)  
    22. Statistical Inference [https://lnkd.in/grNXVQh5](https://lnkd.in/grNXVQh5)  
    23. Probability : [https://lnkd.in/gvnWCphc](https://lnkd.in/gvnWCphc)  
    24. Linear Algebra : [https://lnkd.in/gty6XpVF](https://lnkd.in/gty6XpVF)  
    25. Calculus [https://lnkd.in/gjhsmsxu](https://lnkd.in/gjhsmsxu)  
    26. Time Series : [https://bit.ly/3Fvuep4](https://bit.ly/3Fvuep4)  
    27. NLP: [https://bit.ly/3Fvursm](https://bit.ly/3Fvursm)  
    28. Neural Network : [https://lnkd.in/gThs2AAp](https://lnkd.in/gThs2AAp)  
    29. Deep Learning : [https://lnkd.in/gVbSPae2](https://lnkd.in/gVbSPae2)  
    30. Machine Learning : [https://bit.ly/3mZ5Wh3](https://bit.ly/3mZ5Wh3)  
    31. Apache Spark : [https://lnkd.in/ge7Rj-Yr](https://lnkd.in/ge7Rj-Yr)  
    32. Hadoop : [https://bit.ly/3Lq34DR](https://bit.ly/3Lq34DR)  
    33. Big-O Notation t: [https://lnkd.in/gfYqM8WU](https://lnkd.in/gfYqM8WU)  
    34. Regular Expression : [https://lnkd.in/gE9kZTZW](https://lnkd.in/gE9kZTZW)  
    35. Unix/Linux Permissions [https://bit.ly/3ZUfwA8](https://bit.ly/3ZUfwA8)  
    36. Python String Formatting [https://lnkd.in/gHi26Uk2](https://lnkd.in/gHi26Uk2)  
    37. Flask : [https://lnkd.in/gGzbSTgU](https://lnkd.in/gGzbSTgU)  
    38. Django : [https://lnkd.in/grZcWz8y](https://lnkd.in/grZcWz8y)  
    39. SQL : [https://lnkd.in/gyierV3f](https://lnkd.in/gyierV3f)  
    40. PostgreSQL : [https://lnkd.in/gzfiW7zB](https://lnkd.in/gzfiW7zB)  
    41. MySQL: [https://lnkd.in/g4JnPVTe](https://lnkd.in/g4JnPVTe)  
    42. MongoDB : [https://lnkd.in/gHc4F4ER](https://lnkd.in/gHc4F4ER)  
    43. TensorFlow Probability Cheat Sheet: [https://lnkd.in/gr3bgDGP](https://lnkd.in/gr3bgDGP)  
    44. OpenAI GPT-3 Documentation: [https://lnkd.in/gawB\_SC9](https://lnkd.in/gawB_SC9)  
    45. GPT-3 API Reference: [https://lnkd.in/gtCGZvX8](https://lnkd.in/gtCGZvX8)  
    46. GPT-3 GitHub Repository: [https://lnkd.in/g56cQQPD](https://lnkd.in/g56cQQPD)  
    47. Chat GPT Cheat Sheet : [<span>https://lnkd.in/e43cDB9q</span>](https://lnkd.in/e43cDB9q)</span></span><span class="break-words
          "><span dir="ltr">  
    48.[ Apache Cookbook](https://planforfailure.com/docs/pdf/apache2_cookbook.pdf)  
    </span></span><span class="break-words
          "><span dir="ltr">71 Python projects with [source code.](https://planforfailure.com/docs/71_python_projects.pdf "71 Python Projects")</span></span>

# Google Certification

 Google courses to master career in 2024.

  
1\. Google IT Support Professional Certificate

Link: [https://lnkd.in/d3UuYRPx](https://lnkd.in/d3UuYRPx)

Benefits:

◆ Get a job as an IT support specialist  
◆ Learn how to troubleshoot and repair computers  
◆ Learn how to network and secure computers  
◆ Earn a certificate from Google

2\. Google IT Automation with Python Professional Certificate

Link: [https://lnkd.in/dmVr\_xUd](https://lnkd.in/dmVr_xUd)

Benefits:

◆Learn how to automate IT tasks with Python  
◆ Get a job as an IT Automation Specialist  
◆Earn a certificate from Google

3\. Data Engineering with Google Cloud Professional Certificate

Link: [https://lnkd.in/drhRQMZ](https://lnkd.in/drhRQMZ)8

Benefits:

◆ Learn how to build and manage data pipelines with Google Cloud  
◆ Get a job as a Data Engineer  
◆ Earn a certificate from Google

4\. Firebase in a Weekend

Link:[ https://lnkd.in/dNdZXfC3](https://lnkd.in/dNdZXfC3)

Benefits:

◆ Learn how to build mobile and web apps with Firebase  
◆ Get a job as a Firebase Developer  
◆ Earn a badge from Google

5\. Android Basics by Google

Link: [https://lnkd.in/dtH3REZP](https://lnkd.in/dtH3REZP)

Benefits:

◆ Learn how to build Android apps  
◆ Get a job as an Android Developer  
◆ Earn a certificate from Google

6\. Digital Marketing &amp; E-commerce Essentials

Link: [https://lnkd.in/dE2TJ-DG](https://lnkd.in/dE2TJ-DG)

Benefits:

◆ Learn the fundamentals of digital marketing and e-commerce  
◆ Get a job in digital marketing or e-commerce  
◆ Earn a certificate from Google

7\. Google Ads for Beginners

Link: [https://lnkd.in/dD8AHqfu](https://lnkd.in/dD8AHqfu)

Benefits:

◆ Learn how to create and manage Google Ads campaigns  
◆ Get a job as an SEO or SEM Specialist  
◆ Earn a certificate from Google

8\. Google Cloud Fundamentals: Core Infrastructure

Link: [https://lnkd.in/dwBWVM7Q](https://lnkd.in/dwBWVM7Q)

9\. Google Cloud Big Data and Machine Learning Fundamentals

Link:[ https://lnkd.in/dPW\_Jckv](https://lnkd.in/dPW_Jckv)

10\. Google Cloud Fundamentals for AWS Professionals

Link:[ https://lnkd.in/d2KucPWv](https://lnkd.in/d2KucPWv)

# Microsoft Certification

<span class="break-words
      "><span dir="ltr">Here are 14 FREE courses you don't want to miss:  
  
1 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐭𝐨 𝐀𝐥:In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.  
  
👉Check this out  
  
[https://lnkd.in/g-aM-f5D](https://lnkd.in/g-aM-f5D)  
  
2.𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐰𝐢𝐭𝐡 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬:   
  
👉Check this out  
  
[https://lnkd.in/g3NTsQjE](https://lnkd.in/g3NTsQjE)  
  
3.𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐝𝐯𝐞𝐫𝐬𝐚𝐫𝐢𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 (𝐆𝐀𝐍𝐬) 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Break into the GANs space. Master cutting-edge GANs techniques through three hands-on courses!  
  
👉Check this out  
  
[https://lnkd.in/gCX\_EAx8](https://lnkd.in/gCX_EAx8)  
  
4.𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐀𝐈)  
  
👉Check this out  
  
[https://lnkd.in/gsvyvAik](https://lnkd.in/gsvyvAik)  
  
5.𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐏𝐫𝐢𝐦𝐞𝐫  
  
👉Check this out  
  
[https://lnkd.in/gJ5X2Yxm](https://lnkd.in/gJ5X2Yxm)  
  
6\. 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧  
  
👉Check this out  
  
[https://lnkd.in/gn6xGtce](https://lnkd.in/gn6xGtce)  
  
7\. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐀𝐥: An overview of AI tools for project managers, executives, and students starting their AI career.  
  
👉Check this out  
  
[https://lnkd.in/dvVP9JeG](https://lnkd.in/dvVP9JeG)  
  
8\. 𝐖𝐡𝐚𝐭 𝐈𝐬 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐥?: Learn about the basics, history, working principles, and ethical implications of Generative AI.  
  
👉Check this out  
  
[https://lnkd.in/duy28vK3](https://lnkd.in/duy28vK3)  
  
9\. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐥:  
  
👉Check this out  
  
[https://lnkd.in/dwruHPSj](https://lnkd.in/dwruHPSj)  
  
10\. 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐢𝐧𝐠 𝐘𝐨𝐮𝐫 𝐖𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐁𝐢𝐧𝐠 𝐂𝐡𝐚𝐭:  
Utilize Microsoft Bing Chat to automate and streamline tasks effectively.  
  
👉Check this out  
  
[https://lnkd.in/dS72VTSK](https://lnkd.in/dS72VTSK)  
  
11\. 𝐄𝐭𝐡𝐢𝐜𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐠𝐞 𝐨𝐟 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐥: Address ethical concerns in deploying Generative AI, understanding the ethical analysis framework.  
  
👉Check this out  
  
[https://lnkd.in/dD63DHUs](https://lnkd.in/dD63DHUs)  
  
12\. 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐀𝐈 𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥𝐬  
Learn how to use Azure Machine Learning to create and publish models without writing code.  
  
👉Check this out  
  
[https://lnkd.in/dM6bnkKH](https://lnkd.in/dM6bnkKH)  
  
12\. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠  
  
This course is a great way to learn the basics and use cases of Machine Learning.  
  
👉Check this out  
  
[https://lnkd.in/d\_B6m9QZ](https://lnkd.in/d_B6m9QZ)  
  
13\. 𝐀𝐈 𝐟𝐨𝐫 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 - By Microsoft  
  
👉Check this out  
[https://lnkd.in/dHeHqtAA](https://lnkd.in/dHeHqtAA)  
  
14\. 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧  
  
👉Check this out  
  
[https://lnkd.in/dytmJgYR](https://lnkd.in/dytmJgYR)</span></span>

<span class="break-words
      "><span dir="ltr">[SQL](https://planforfailure.com/docs/sql.pdf) cheatsheet</span></span>

[<span class="break-words
      "><span dir="ltr">Master SQL</span></span>](https://planforfailure.com/docs/master_sql.pdf)

# Google  Data Analytics

1\. Google Data Analytics:

🔗[https://lnkd.in/d\_eAZ2wB](https://lnkd.in/d_eAZ2wB)

  
2\. Learn Python Basics for Data Analysis

🔗[https://lnkd.in/dSwuqVAm](https://lnkd.in/dSwuqVAm)

  
3\. Data Analysis with R Programming

🔗 [https://lnkd.in/dCJYSbzE](https://lnkd.in/dCJYSbzE)

  
4\. Foundations: Data, Data, Everywhere

🔗[https://lnkd.in/db4HN23c](https://lnkd.in/db4HN23c)

  
5\. Ask Questions to Make Data-Driven Decisions

🔗[https://lnkd.in/dwRRwQ6Z](https://lnkd.in/dwRRwQ6Z)

  
6\. Process Data from Dirty to Clean

🔗 [https://lnkd.in/db3QzbPh](https://lnkd.in/db3QzbPh)

  
7\. Share Data Through the Art of Visualization

🔗 [https://lnkd.in/darCNvxG](https://lnkd.in/darCNvxG)

  
8\. Analyze Data to Answer Questions

🔗[https://lnkd.in/dEEPHFD5](https://lnkd.in/dEEPHFD5)

  
9\. Get Started with Python

🔗[https://lnkd.in/dCzeH-WP](https://lnkd.in/dCzeH-WP)

  
10\. Go Beyond the Numbers: Translate Data into Insights

🔗 [https://lnkd.in/dk--DWhT](https://lnkd.in/dk--DWhT)

  
11\. The Power of Statistics

🔗 [https://lnkd.in/djPTRnPR](https://lnkd.in/djPTRnPR)

  
12\. Regression Analysis: Simplify Complex Data Relationships

🔗 [https://lnkd.in/dFPPEP7N](https://lnkd.in/dFPPEP7N)

  
13\. The Nuts and Bolts of Machine Learning

🔗 [https://lnkd.in/d9PUhiq5](https://lnkd.in/d9PUhiq5)

  
14\. Google Advanced Data Analytics Capstone

🔗 [https://lnkd.in/ddYqDxsG](https://lnkd.in/ddYqDxsG)

# Microsoft Fundamentals

<span class="break-words
      "><span dir="ltr">1. Python for Beginners  
  
🔗 [https://lnkd.in/drQMQsBK](https://lnkd.in/drQMQsBK)  
  
2\. Introduction to Machine Learning with Python  
  
🔗 [https://lnkd.in/dg3Kh6ZN](https://lnkd.in/dg3Kh6ZN)  
  
3\. Microsoft Azure AI Fundamentals  
  
🔗 [https://lnkd.in/dM6bnkKH](https://lnkd.in/dM6bnkKH)  
  
4\. Write Your First Code Using C#  
  
🔗 [https://lnkd.in/dT3wXBwg](https://lnkd.in/dT3wXBwg)  
  
5\. Get started with AI on Azure  
  
🔗 [https://lnkd.in/d79qWhcV](https://lnkd.in/d79qWhcV)  
  
6\. Microsoft Azure Fundamentals: Describe Cloud Concepts  
  
🔗 [https://lnkd.in/dUhs6GMJ](https://lnkd.in/dUhs6GMJ)  
  
7\. Introduction to GitHub  
  
🔗 [https://lnkd.in/d6VQF2Zk](https://lnkd.in/d6VQF2Zk)  
  
8\. Build an Early-Stage Startup  
  
🔗 [https://lnkd.in/dZvAX-RQ](https://lnkd.in/dZvAX-RQ)  
  
9\. Microsoft Search Fundamentals  
  
🔗 [https://lnkd.in/d4t2uGSF](https://lnkd.in/d4t2uGSF)  
  
10\. Get Started with Office 365  
  
🔗 [https://lnkd.in/dYP-m2e5](https://lnkd.in/dYP-m2e5)  
  
11\. Data Science for Beginners  
  
🔗 [https://lnkd.in/dCuZtmeT](https://lnkd.in/dCuZtmeT)</span></span>

# AWS Fundamentals

<span class="break-words
      "><span dir="ltr">[![aws_plain.jpeg](https://resources.planforfailure.com/uploads/images/gallery/2025-10/scaled-1680-/vM9sgBBHL8pjEMRw-aws-plain.jpeg)](https://resources.planforfailure.com/uploads/images/gallery/2025-10/vM9sgBBHL8pjEMRw-aws-plain.jpeg)</span></span>

<span class="break-words
      "><span dir="ltr">[![aws_multi_region.png](https://resources.planforfailure.com/uploads/images/gallery/2024-04/scaled-1680-/IyFexez7HPKcwijE-aws-multi-region.png)](https://resources.planforfailure.com/uploads/images/gallery/2024-04/IyFexez7HPKcwijE-aws-multi-region.png)</span></span>

1. <span class="break-words
          "><span dir="ltr">AWS Cloud Practitioner Essentials  
      
    [https://lnkd.in/giBTFgNf](https://lnkd.in/giBTFgNf)  
      
    2. AWS Cloud Technical Essentials  
      
    [https://lnkd.in/gMcdT65P](https://lnkd.in/gMcdT65P)  
      
    3. Building Modern Python Applications on AWS  
      
    [https://lnkd.in/ggGNigzK](https://lnkd.in/ggGNigzK)  
      
    4. Amazon DynamoDB: Building NoSQL Database-Driven Applications  
      
    [https://lnkd.in/gyHvu2fh](https://lnkd.in/gyHvu2fh)  
      
    5. Getting Started with Data Analytics on AWS  
      
    [https://lnkd.in/gzinyqHn](https://lnkd.in/gzinyqHn)  
      
    6. A Practical Introduction to Cloud Computing  
      
    [https://lnkd.in/gbDmRfAv](https://lnkd.in/gbDmRfAv)  
      
    7. Cloud Computing With Amazon Web Services  
      
    [https://lnkd.in/gpNr6aU9](https://lnkd.in/gpNr6aU9)  
      
    8. Starting your Career with Amazon AWS  
      
    [https://lnkd.in/gD38xW9v](https://lnkd.in/gD38xW9v)  
      
    9. Amazon Web Services (AWS) - Zero to Hero  
      
    [https://lnkd.in/g6QryAtq](https://lnkd.in/g6QryAtq)  
      
    10. Amazon Web Services - Learning and Implementing AWS Solution  
      
    [https://lnkd.in/gWGMCRdv](https://lnkd.in/gWGMCRdv)  
      
    11. Serverless computing in AWS  
      
    [https://lnkd.in/gaphn9fs](https://lnkd.in/gaphn9fs)  
      
    12. AWS Certified Solutions Architect Associate Introduction  
      
    [https://lnkd.in/g5PCHsSC](https://lnkd.in/g5PCHsSC)  
      
    13. All About AWS Lambda and Serverless  
      
    [https://lnkd.in/gVmWZBuN](https://lnkd.in/gVmWZBuN)  
      
    14. AWS Tutorials - DynamoDB and Database Migration Service  
      
    [https://lnkd.in/ghJx-CzB](https://lnkd.in/ghJx-CzB)  
      
    15. Multitier architecture with AWS  
      
    [https://lnkd.in/gp4\_Qs\_U](https://lnkd.in/gp4_Qs_U)  
      
    16. Amazon Web Services (AWS): CloudFormation  
      
    [https://lnkd.in/g4MhQzAM](https://lnkd.in/g4MhQzAM)  
      
    17. AWS VPC Transit Gateway - Hands On Learning!  
      
    [https://lnkd.in/gTBcZmFT](https://lnkd.in/gTBcZmFT)  
      
    18. Frontend is for Everyone  
      
    [https://lnkd.in/g6MgpfVB](https://lnkd.in/g6MgpfVB)  
      
    19. AWS For Beginners  
      
    [https://lnkd.in/gFQgT\_H7](https://lnkd.in/gFQgT_H7)  
      
    20. AWS for Beginners: First step to start your Cloud Computing career  
      
    [https://lnkd.in/gWRJCsiw](https://lnkd.in/gWRJCsiw)  
      
    21. Getting Started with AWS Services Fundamentals for Beginners  
      
    [https://lnkd.in/ghQvY9gC](https://lnkd.in/ghQvY9gC)  
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<span class="break-words
      "><span dir="ltr"> 22. AWS Services in a [Nutshell ](https://media.licdn.com/dms/image/v2/D4E22AQGgIEgwv_It-A/feedshare-shrink_800/feedshare-shrink_800/0/1704989795387?e=1741824000&v=beta&t=sHBOcYuoHdt7UFCqQtCgyk6_PKzvTSGmzEYLYafMxpQ)</span></span>