Artificial Intelligence & ChatGPT Prompts
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๐Ÿ”“Unlock Your Coding Potential with ChatGPT
๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews!
๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job.


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๐Ÿš€ ๐—ช๐—ถ๐—ฝ๐—ฟ๐—ผ ๐—˜๐—น๐—ถ๐˜๐—ฒ ๐—ก๐—ง๐—› & ๐—ง๐˜‚๐—ฟ๐—ฏ๐—ผ ๐—™๐—ฅ๐—˜๐—˜ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ž๐—ถ๐˜ ๐Ÿ’ป๐Ÿ”ฅ

Get access to a FREE interview preparation kit and prepare smarter for your upcoming assessment & interview rounds.

๐Ÿ“š Prepare For:-
โœ… Technical Interview Questions
โœ… Software Engineer Interview Rounds
โœ… Interview Preparation Resources

๐ŸŽฏ Perfect for Students | Freshers | Engineering Graduates | Wipro Aspirants

๐Ÿ”— ๐—š๐—ฒ๐˜ ๐—™๐—ฅ๐—˜๐—˜ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ž๐—ถ๐˜ ๐Ÿ‘‡:-

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๐Ÿ”ฅ Start preparing early and improve your chances of cracking the Wipro hiring process!
๐—ฃ๐—ฎ๐˜† ๐—”๐—ณ๐˜๐—ฒ๐—ฟ ๐—ฃ๐—น๐—ฎ๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜โ€”๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ ๐—™๐˜‚๐—น๐—น ๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—ฒ๐—ฟ ๐˜„๐—ถ๐˜๐—ต ๐—š๐—ฒ๐—ป๐—”๐—œ๐Ÿ˜

Curriculum designed and taught by alumni from IITs & leading tech companies.

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โšก Take the first step toward your dream tech career today!
๐Ÿ”ฅ AI Project Ideas ๐Ÿ”ฅ

๐ŸŽฏ Image Caption Generator
๐ŸŽฏ AI Chatbot w/ Intent Detection
๐ŸŽฏ Fake News Detector (NLP)
๐ŸŽฏ Voice Emotion Recognition
๐ŸŽฏ Resume Screener (NLP)
๐ŸŽฏ Movie Recommender
๐ŸŽฏ Digit Recognition (MNIST)
๐ŸŽฏ AI Personal Assistant
๐ŸŽฏ Face Mask Detector
๐ŸŽฏ Text Summarizer (Transformer)
๐ŸŽฏ AI Resume Builder

โœจ Double Tap โ™ฅ๏ธ for more AI tools, resources & ideas! ๐Ÿค–โšก
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๐Ÿš€ ๐—™๐—ฅ๐—˜๐—˜ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ! ๐Ÿ“Š

Hereโ€™s a great chance to learn valuable skills and earn a FREE Certificate ๐ŸŽ“

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๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡ :-

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๐Ÿ“Œ Start learning today & upgrade your career!
๐—™๐—ฅ๐—˜๐—˜ ๐—š๐—ฒ๐—ป๐—”๐—œ + ๐—–๐—น๐—ฎ๐˜‚๐—ฑ๐—ฒ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐—ฐ๐—น๐—ฎ๐˜€๐˜€๐Ÿ˜

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๐ŸŽฏ Perfect For:-
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๐Ÿ’ก No technical knowledge or prior experience required!

๐Ÿ”— ๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ ๐Ÿ‘‡:-

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โšก Start using AI smarterโ€”limited slots available!
๐ŸŽ“ ๐€๐œ๐œ๐ž๐ง๐ญ๐ฎ๐ซ๐ž ๐…๐‘๐„๐„ ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž๐ฌ ๐Ÿ˜

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๐Ÿ“š FREE Courses Offered:
1๏ธโƒฃ Data Processing and Visualization
2๏ธโƒฃ Exploratory Data Analysis
3๏ธโƒฃ SQL Fundamentals
4๏ธโƒฃ Python Basics
5๏ธโƒฃ Acquiring Data

๐‹๐ข๐ง๐ค ๐Ÿ‘‡:- 

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โœ… Learn Online | ๐Ÿ“œ Get Certified
โค2
๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—ฎ๐—ป๐—ฑ ๐—Ÿ๐—ถ๐—ป๐—ธ๐—ฒ๐—ฑ๐—œ๐—ป ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€๐ŸŽ“

Want to strengthen your resume with career-focused professional skills? Explore these free learning paths from Microsoft and LinkedIn.

๐Ÿ”ฅ Courses Available:
๐Ÿ“Œ Project Management
๐Ÿ“Š Business Analysis
๐Ÿ’ป System Administration
๐Ÿ“ˆ Data Analysis

๐Ÿ”— ๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ ๐Ÿ‘‡:-

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๐Ÿ’ก Learn โ†’ Get Certified โ†’ Upgrade Your Resume โ†’ Boost Your Career
๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—”๐—œ & ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿš€

Explore Google Cloud learning resources covering AI/ML fundamentals through practical and advanced concepts.

๐Ÿš€ Learn AI โ†’ Practice ML โ†’ Build Skills โ†’ Become Career Ready

๐Ÿ”— ๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ ๐Ÿ‘‡:-

https://pdlinks.in/eb6

๐Ÿš€ Learn AI โ†’ Practice ML โ†’ Build Skills โ†’ Become Career Ready
โค1
Quick Python Cheat Sheet for Beginners ๐Ÿโœ๏ธ

Python is widely used for data analysis, automation, and AIโ€”perfect for beginners starting their coding journey.

Aggregation Functions ๐Ÿ“Š

โ€ข sum(list) โ†’ Adds all values
๐Ÿ‘‰ sum([1,2,3]) = 6
โ€ข len(list) โ†’ Counts total elements
๐Ÿ‘‰ len([1,2,3]) = 3
โ€ข max(list) โ†’ Highest value
๐Ÿ‘‰ max([4,7,2]) = 7
โ€ข min(list) โ†’ Lowest value
๐Ÿ‘‰ min([4,7,2]) = 2
โ€ข sum(list)/len(list) โ†’ Average
๐Ÿ‘‰ sum([10,20])/2 = 15

Lookup / Searching ๐Ÿ”

โ€ข in โ†’ Check existence
๐Ÿ‘‰ 5 in [1,2,5] = True
โ€ข list.index(value) โ†’ Position of value
๐Ÿ‘‰ [10,20,30].index(20) = 1
โ€ข Dictionary lookup
๐Ÿ‘‰ data = {"name": "John", "age": 25} data["name"] # John

Logical Operations ๐Ÿง 

โ€ข if condition: โ†’ Decision making
๐Ÿ‘‰ if x > 10: print("High") else: print("Low")
โ€ข and โ†’ All conditions true
โ€ข or โ†’ Any condition true
โ€ข not โ†’ Reverse condition

Text (String) Functions ๐Ÿ”ค

โ€ข len(text) โ†’ Length
๐Ÿ‘‰ len("hello") = 5
โ€ข text.lower() โ†’ Lowercase
โ€ข text.upper() โ†’ Uppercase
โ€ข text.strip() โ†’ Remove spaces
๐Ÿ‘‰ " hi ".strip() = "hi"
โ€ข text.replace(old, new)
๐Ÿ‘‰ "hi".replace("h","H") = "Hi"
โ€ข String concatenation
๐Ÿ‘‰ "Hello " + "World"

Date Time Functions ๐Ÿ“…

โ€ข from datetime import datetime
โ€ข datetime.now() โ†’ Current date time
โ€ข Extract values:
now = datetime.now() now.year now.month now.day

Math Functions โž—

โ€ข import math
โ€ข math.sqrt(x) โ†’ Square root
โ€ข math.ceil(x) โ†’ Round up
โ€ข math.floor(x) โ†’ Round down
โ€ข abs(x) โ†’ Absolute value

Conditional Aggregation (Like Excel SUMIF) โšก

โ€ข Using list comprehension

nums = [10, 20, 30, 40] sum(x for x in nums if x > 20) # 70

โ€ข Count condition

len([x for x in nums if x > 20]) # 2

Pro Tip for Data Analysts ๐Ÿ’ก

๐Ÿ‘‰ For real-world work, use libraries: pandas & numpy

Example:
import pandas as pd df["salary"].mean()

Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L

Double Tap โ™ฅ๏ธ For More
โค2
๐—ง๐—ผ๐—ฝ ๐—œ๐—ป-๐——๐—ฒ๐—บ๐—ฎ๐—ป๐—ฑ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐˜๐—ผ ๐—™๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ-๐—ฃ๐—ฟ๐—ผ๐—ผ๐—ณ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐Ÿ˜

๐Ÿ”ฅ Skills Worth Learning:

โ›“๏ธ Blockchain
โ˜๏ธ Cloud Computing
โ™พ๏ธ DevOps Engineering
๐Ÿค– Artificial Intelligence & Machine Learning
๐Ÿ“Š Data Science & Analytics
๐Ÿ” Cybersecurity
๐ŸŽฏ Leadership & Communication

๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡:-

https://pdlinks.in/i89

Donโ€™t just collect certificates โ€” build projects, gain practical experience and showcase your skills on your resume & LinkedIn.
๐Ÿš€ ๐—™๐—ฅ๐—˜๐—˜ ๐—š๐—ฒ๐—ป๐—”๐—œ + ๐—–๐—น๐—ฎ๐˜‚๐—ฑ๐—ฒ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐—ฐ๐—น๐—ฎ๐˜€๐˜€ ๐Ÿ˜

Want to work faster, create better content and save hours every week using AI?

Join this beginner-friendly masterclass and discover how to use ๐Ÿฎ๐Ÿฑ+ powerful AI tools to:

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โœ… Use GenAI and Claude effectively

๐Ÿ’ก No technical knowledge or previous AI experience required!

๐Ÿ”— ๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ ๐Ÿ‘‡

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โšก Limited slots availableโ€”register now and start working smarter with AI!
โค1
๐Ÿ“Š ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—˜๐˜…๐—ฐ๐—ฒ๐—น ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ | ๐Ÿฑ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—ณ๐˜‚๐—น ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿš€

๐Ÿ”ฅ Top 5 FREE Excel Courses:

1๏ธโƒฃ Goldman Sachs โ€“ Excel Skills for Business
2๏ธโƒฃ PwC โ€“ Problem Solving with Excel
3๏ธโƒฃ Corporate Finance Institute โ€“ Excel Fundamentals
4๏ธโƒฃ Great Learning โ€“ Excel for Beginners
5๏ธโƒฃ Simplilearn โ€“ Introduction to MS Excel

๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡:- 

https://pdlink.in/3UQ8S09

๐Ÿš€ Learn Excel for FREE and upgrade your career skills!
๐Ÿ’ก Excel Tips & Tricks ๐Ÿง ๐Ÿ“Š

Part 3 โ€” Smart Data Analysis Tips

๐Ÿ”น Tip 21: Use "Ctrl + T" for Dynamic Data
Convert your dataset into an Excel Table.
๐Ÿ“Œ When you add new rows, formulas, formatting, and filters automatically extend to the new data.

๐Ÿ”น Tip 22: Use "SUMIFS()" for Multiple Conditions
Example:
=SUMIFS(C:C,A:A,"North",B:B,"Electronics")
๐Ÿ“Œ Perfect for calculating sales based on multiple criteria.

๐Ÿ”น Tip 23: Use "COUNTIFS()" to Count Multiple Conditions
Example:
=COUNTIFS(A:A,"North",B:B,"Completed")
๐Ÿ“Œ Useful for counting records that meet several conditions.

๐Ÿ”น Tip 24: Use "UNIQUE()" to Create a Unique List
Example:
=UNIQUE(A2:A1000)
๐Ÿ“Œ Quickly removes repeated values without manually deleting duplicates.

๐Ÿ”น Tip 25: Use "FILTER()" for Dynamic Filtering
Example:
=FILTER(A2:D1000,C2:C1000="North","No Records")
๐Ÿ“Œ Returns only the rows matching your selected condition.

๐Ÿ”น Tip 26: Use "SORT()" to Create a Dynamic Sorted List
Example:
=SORT(A2:B100,2,-1)
๐Ÿ“Œ Sorts the data based on the second column in descending order.

๐Ÿ”น Tip 27: Use "TEXT()" to Control Date Display
Example:
=TEXT(A2,"MMM-YYYY")
๐Ÿ“Œ Converts a date into formats such as "Jan-2026".

๐Ÿ”น Tip 28: Use "EOMONTH()" for Month-End Calculations
Example:
=EOMONTH(A2,0)
๐Ÿ“Œ Returns the last day of the month for the date in "A2".

๐Ÿ”น Tip 29: Use "SUBTOTAL()" with Filtered Data
Example:
=SUBTOTAL(9,B2:B1000)
๐Ÿ“Œ Calculates the sum of visible filtered rows, making it useful for reports.

๐Ÿ”น Tip 30: Use "Ctrl + Z" Carefully
"Ctrl + Z" = Undo
"Ctrl + Y" = Redo
๐Ÿ“Œ These shortcuts can quickly reverse or restore recent changes.

๐Ÿ’ฌ Double Tap โ™ฅ๏ธ For More Excel Tips!
โค3
๐Ÿš€ ๐—Ÿ๐—ฒ๐˜ƒ๐—ฒ๐—น ๐—จ๐—ฝ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐˜„๐—ถ๐˜๐—ต ๐—™๐—ฅ๐—˜๐—˜ ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด! ๐Ÿ’ป

Microsoft-focused learning paths can help you strengthen your resume and prepare for in-demand tech and data roles.

๐Ÿ”ฅ Top 5 Courses / Certification Paths:
โœ… Beginner-friendly options
โœ… Build practical, job-ready skills
โœ… Learn Azure, Power BI, Excel & SQL
โœ… Strengthen your resume & career profile

๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡:- 

https://pdlink.in/3UNpPs7

๐Ÿ’ซPerfect for students, freshers, data analysts and professionals looking to upgrade their skills.
๐ŸŽ“ ๐—ง๐—ผ๐—ฝ ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€ ๐—ข๐—ณ๐—ณ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿš€

Learn in-demand skills โ€ข Add valuable credentials to your resume

๐Ÿข TATA :- https://pdlink.in/3QiwLvx

๐Ÿ’ป Infosys :- https://pdlink.in/4eBH3Aa

โšก IBM :- https://pdlink.in/45KgqDR

๐Ÿ’ซ Amazon :- https://pdlink.in/47XuBGz

๐ŸŒ Cisco :- https://pdlink.in/4gaeVVV

๐ŸชŸ Microsoft :- https://pdlink.in/4zhGTX6

๐Ÿ“ข Save & share this with your friends โ€” start upskilling for FREE!
๐Ÿš€ ๐——๐—ฟ๐—ฒ๐—ฎ๐—บ๐—ถ๐—ป๐—ด ๐—ผ๐—ณ ๐—ช๐—ผ๐—ฟ๐—ธ๐—ถ๐—ป๐—ด ๐—ฎ๐˜ ๐—ง๐—ผ๐—ฝ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€? ๐Ÿ’ป๐Ÿ”ฅ

Hereโ€™s a collection of company-specific resources to help you understand their interview and hiring processes.

๐ŸŽฏ Interview Preparation Guides For:

๐ŸŸ  Amazon โ€“ Interviewing Guide
๐Ÿ”ต Google โ€“ Interview Tips
๐ŸชŸ Microsoft โ€“ Hiring & Interview Tips
๐ŸŸข NVIDIA โ€“ Hiring Process
๐Ÿ”ท Meta โ€“ Software Engineering Interview Prep

๐‹๐ข๐ง๐ค ๐Ÿ‘‡:-

https://pdlink.in/4i6HkgN

๐Ÿ“ข Save & share this with your friends โ€” start learning for FREE!