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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Complete 14-day roadmap to learn SQL learning:

Day 1: Introduction to Databases
- Understand the concept of databases and their importance.
- Learn about relational databases and SQL.
- Explore the basic structure of SQL queries.

Day 2: Basic SQL Syntax
- Learn SQL syntax: statements, clauses, and keywords.
- Understand the SELECT statement for retrieving data.
- Practice writing basic SELECT queries with conditions and filters.

Day 3: Retrieving Data from Multiple Tables
- Learn about joins: INNER JOIN, LEFT JOIN, RIGHT JOIN.
- Understand how to retrieve data from multiple tables using joins.
- Practice writing queries involving multiple tables.

Day 4: Aggregate Functions
- Learn about aggregate functions: COUNT, SUM, AVG, MIN, MAX.
- Understand how to use aggregate functions to perform calculations on data.
- Practice writing queries with aggregate functions.

Day 5: Subqueries
- Learn about subqueries and their role in SQL.
- Understand how to use subqueries in SELECT, WHERE, and FROM clauses.
- Practice writing queries with subqueries.

Day 6: Data Manipulation Language (DML)
- Learn about DML commands: INSERT, UPDATE, DELETE.
- Understand how to add, modify, and delete data in a database.
- Practice writing DML statements.

Day 7: Data Definition Language (DDL)
- Learn about DDL commands: CREATE TABLE, ALTER TABLE, DROP TABLE.
- Understand constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL.
- Practice designing database schemas and creating tables.

Day 8: Data Control Language (DCL)
- Learn about DCL commands: GRANT, REVOKE for managing user permissions.
- Understand how to control access to database objects.
- Practice granting and revoking permissions.

Day 9: Transactions
- Understand the concept of transactions in SQL.
- Learn about transaction control commands: COMMIT, ROLLBACK.
- Practice managing transactions.

Day 10: Views
- Learn about views and their benefits.
- Understand how to create, modify, and drop views.
- Practice creating views.

Day 11: Indexes
- Learn about indexes and their role in database optimization.
- Understand different types of indexes (e.g., B-tree, hash).
- Practice creating and managing indexes.

Day 12: Optimization Techniques
- Explore optimization techniques such as query tuning and normalization.
- Understand the importance of database design for optimization.
- Practice optimizing SQL queries.

Day 13: Review and Practice
- Review all concepts covered in the previous days.
- Work on sample projects or exercises to reinforce learning.
- Take practice quizzes or tests.

Day 14: Final Review and Projects
- Review all concepts learned throughout the 14 days.
- Work on a final project to apply SQL knowledge.
- Seek out additional resources or tutorials if needed.


Here are some practical SQL syntax examples for each day of your learning journey:

Day 1: Introduction to Databases
- Syntax to select all columns from a table:
   SELECT * FROM table_name;
 

Day 2: Basic SQL Syntax
- Syntax to select specific columns from a table:
   SELECT column1, column2 FROM table_name;
 

Day 3: Retrieving Data from Multiple Tables
- Syntax for INNER JOIN to retrieve data from two tables:
   SELECT orders.order_id, customers.customer_name
  FROM orders
  INNER JOIN customers ON orders.customer_id = customers.customer_id;
 

Day 4: Aggregate Functions
- Syntax for COUNT to count the number of rows in a table:
   SELECT COUNT(*) FROM table_name;
 

Day 5: Subqueries
- Syntax for using a subquery in the WHERE clause:
   SELECT column1, column2 
  FROM table_name
  WHERE column1 IN (SELECT column1 FROM another_table WHERE condition);
 

Day 6: Data Manipulation Language (DML)
- Syntax for INSERT to add data into a table:
   INSERT INTO table_name (column1, column2) VALUES (value1, value2);
 
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๐Ÿš€ Backend Developer Roadmap ๐Ÿš€

1. Foundation: ๐Ÿ“š Learn fundamental programming concepts such as variables, data types, and control flow. Master a programming language like Python, Java, or JavaScript.

2. Database Management: ๐Ÿ›ข๏ธ Understand database systems like SQL and NoSQL. Learn about relational databases (e.g., MySQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Redis).

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5. Server-Side Frameworks: ๐Ÿ› ๏ธ Get hands-on experience with backend frameworks such as Django (Python), Spring (Java), or Express (JavaScript). Learn how to build robust, scalable web applications.

6. Middleware & Caching: ๐Ÿ”„ Explore middleware concepts for request processing and handling. Implement caching strategies using tools like Redis to improve performance.

7. Testing & Debugging: ๐Ÿž Master unit testing, integration testing, and end-to-end testing techniques. Use debugging tools and practices to identify and resolve issues effectively.

8. Security Best Practices: ๐Ÿ›ก๏ธ Learn about common security threats and how to mitigate them. Implement security measures such as input validation, encryption, and secure communication protocols.

9. Containerization & Deployment: ๐Ÿšข Familiarize yourself with containerization technologies like Docker and container orchestration platforms like Kubernetes. Learn how to deploy and manage applications in production environments.

10. Monitoring & Logging: ๐Ÿ“Š Understand the importance of monitoring and logging for application health and performance. Explore tools like Prometheus, Grafana, and ELK stack for monitoring and log management.

11. Scalability & Performance Optimization: โš™๏ธ Learn techniques for scaling backend systems to handle increased loads. Optimize performance through efficient algorithms, caching, and database optimization.

12. Continuous Integration & Deployment (CI/CD): ๐Ÿ”„๐Ÿš€ Implement CI/CD pipelines to automate testing, building, and deployment processes. Utilize tools like Jenkins, GitLab CI, or GitHub Actions for seamless integration and deployment.

13. Version Control: ๐Ÿ“ Embrace version control systems like Git for managing code changes and collaboration. Learn branching strategies and best practices for efficient team development.

14. Documentation: ๐Ÿ“„ Document your code, APIs, and system architecture effectively. Clear documentation improves understanding, maintenance, and collaboration among team members.

15. Stay Updated: ๐Ÿ“ฐ Keep abreast of new technologies, frameworks, and best practices in backend development. Engage with the community, attend conferences, and participate in online forums to stay current.
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๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ & ๐—™๐˜‚๐—น๐—น ๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜ ๐—”๐—ฟ๐—ฒ ๐— ๐—ผ๐˜€๐˜ ๐——๐—ฒ๐—บ๐—ฎ๐—ป๐—ฑ๐—ถ๐—ป๐—ด ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ๐˜€ ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ ๐Ÿ˜

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3. Data Science For Beginners - https://github.com/microsoft/Data-Science-For-Beginners

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3 steps to get a job in any field:

1. Become skilled in that field

2. Create something to prove you have the skills

3. Get the right people to look at that proof

For data analytics:

1. learn SQL, Microsoft Excel, and a data viz tool.

2. Create a portfolio to show you have those skills, can use them to solve problems and answer questions, and can communicate well.

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๐—ง๐—ผ๐—ฝ ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐—™๐—ผ๐—ฟ ๐— ๐˜‚๐—น๐˜๐—ถ๐—ฝ๐—น๐—ฒ ๐—ฅ๐—ผ๐—น๐—ฒ๐˜€ ๐Ÿ˜

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10 New & Trending AI Concepts You Should Know in 2025

โœ… Retrieval-Augmented Generation (RAG) โ€“ Combines search with generative AI for smarter answers
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โœ… Agents & AutoGPT โ€“ AI that can plan, execute, and make decisions with minimal input
โœ… Synthetic Data Generation โ€“ Creating fake yet realistic data to train AI models
โœ… Federated Learning โ€“ Train models without moving your data (privacy-first AI)
โœ… Prompt Engineering โ€“ Crafting prompts to get the best out of LLMs
โœ… Fine-Tuning & LoRA โ€“ Customize big models for specific tasks with minimal resources
โœ… AI Safety & Alignment โ€“ Making sure AI systems behave ethically and predictably
โœ… TinyML โ€“ Running ML models on edge devices with very low power (IoT focus)
โœ… Open-Source LLMs โ€“ Rise of models like Mistral, LLaMA, Mixtral challenging closed-source giants

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Coding Project Ideas with AI ๐Ÿ‘‡๐Ÿ‘‡

1. Sentiment Analysis Tool: Develop a tool that uses AI to analyze the sentiment of text data, such as social media posts, customer reviews, or news articles. The tool could classify the sentiment as positive, negative, or neutral.

2. Image Recognition App: Create an app that uses AI image recognition algorithms to identify objects, scenes, or people in images. This could be useful for applications like automatic photo tagging or security surveillance.

3. Chatbot Development: Build a chatbot using AI natural language processing techniques to interact with users and provide information or assistance on a specific topic. You could integrate the chatbot into a website or messaging platform.

4. Recommendation System: Develop a recommendation system that uses AI algorithms to suggest products, movies, music, or other items based on user preferences and behavior. This could enhance the user experience on e-commerce platforms or streaming services.

5. Fraud Detection System: Create a fraud detection system that uses AI to analyze patterns and anomalies in financial transactions data. The system could help identify potentially fraudulent activities and prevent financial losses.

6. Health Monitoring App: Build an app that uses AI to monitor health data, such as heart rate, sleep patterns, or activity levels, and provide personalized recommendations for improving health and wellness.

7. Language Translation Tool: Develop a language translation tool that uses AI machine translation algorithms to translate text between different languages accurately and efficiently.

8. Autonomous Driving System: Work on a project to develop an autonomous driving system that uses AI computer vision and sensor data processing to navigate vehicles safely and efficiently on roads.

9. Personalized Content Generator: Create a tool that uses AI natural language generation techniques to generate personalized content, such as articles, emails, or marketing messages tailored to individual preferences.

10. Music Recommendation Engine: Build a music recommendation engine that uses AI algorithms to analyze music preferences and suggest playlists or songs based on user tastes and listening habits.

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ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
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๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ!๐Ÿ˜

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https://whatsapp.com/channel/0029VancSnGG8l5KQYOOyL1T

๐Ÿ‘‰ Data Science:
https://youtu.be/gDZ6czwuQ18?si=Nmj950IQBRHPVocQ

https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y

๐Ÿ‘‰ Machine Learning:
https://youtu.be/LvC68w9JS4Y?si=rXnXfmZVg0a7Ijpz

Join for more: https://t.iss.one/crackingthecodinginterview

ENJOY LEARNING ๐Ÿ‘ ๐Ÿ‘
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๐—ง๐—ผ๐—ฝ ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜๐˜€/๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜๐˜€ ๐Ÿ˜

Companies Hiring:- 
- Goldman Sachs
- S&P Global
- Google 
- JP Morgan
- Pepsico
- PwC
Salary Range :- 5 To 24LPA

Job Location :- PAN India

๐€๐ฉ๐ฉ๐ฅ๐ฒ ๐ง๐จ๐ฐ๐Ÿ‘‡:- 

https://bit.ly/44qMX2k

Apply before the link expires๐Ÿ’ซ
Hey guys!

Iโ€™ve been getting a lot of requests from you all asking for solid Data Analytics projects that can help you boost resume and build real skills.

So here you go โ€”

These arenโ€™t just โ€œfor practice,โ€ theyโ€™re portfolio-worthy projects that show recruiters youโ€™re ready for real-world work.

1. Sales Performance Dashboard

Tools: Excel / Power BI / Tableau
Youโ€™ll take raw sales data and turn it into a clean, interactive dashboard. Show key metrics like revenue, profit, top products, and regional trends.
Skills you build: Data cleaning, slicing & filtering, dashboard creation, business storytelling.

2. Customer Churn Analysis

Tools: Python (Pandas, Seaborn)

Work with a telecom or SaaS dataset to identify which customers are likely to leave and why.

Skills you build: Exploratory data analysis, visualization, correlation, and basic machine learning.


3. E-commerce Product Insights using SQL

Tools: SQL + Power BI

Analyze product categories, top-selling items, and revenue trends from a sample e-commerce dataset.

Skills you build: Joins, GROUP BY, aggregation, data modeling, and visual storytelling.


4. HR Analytics Dashboard

Tools: Excel / Power BI

Dive into employee data to find patterns in attrition, hiring trends, average salaries by department, etc.

Skills you build: Data summarization, calculated fields, visual formatting, DAX basics.


5. Movie Trends Analysis (Netflix or IMDb Dataset)

Tools: Python (Pandas, Matplotlib)

Explore trends across genres, ratings, and release years. Great for people who love entertainment and want to show creativity.

Skills you build: Data wrangling, time-series plots, filtering techniques.


6. Marketing Campaign Analysis

Tools: Excel / Power BI / SQL

Analyze data from a marketing campaign to measure ROI, conversion rates, and customer engagement. Identify which channels or strategies worked best and suggest improvements.

Skills you build: Data blending, KPI calculation, segmentation, and actionable insights.


7. Financial Expense Analysis & Budget Forecasting

Tools: Excel / Power BI / Python

Work on a companyโ€™s expense data to analyze spending patterns, categorize expenses, and create a forecasting model to predict future budgets.

Skills you build: Time series analysis, forecasting, budgeting, and financial storytelling.


Pick 2โ€“3 projects. Donโ€™t just show the final visuals โ€” explain your process on LinkedIn or GitHub. Thatโ€™s what sets you apart.

Like for more useful content โค๏ธ
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๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—™๐—ฅ๐—˜๐—˜ ๐—ฆ๐˜๐—ฒ๐—ฝ ๐—•๐˜† ๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿฒ-๐— ๐—ผ๐—ป๐˜๐—ต ๐—™๐˜‚๐—น๐—น ๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—ฒ๐—ฟ ๐—ฅ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ๐Ÿ˜

๐ŸŽฏ What Youโ€™ll Learn:-
โœ… HTML, CSS, JavaScript
โœ… React, Node.js, Express.js
โœ… MongoDB, REST APIs
โœ… Git, GitHub, Deployment
โœ… AWS, Google Cloud & more

This 6-month step-by-step roadmap takes you from absolute beginner to job-ready developer โ€” using only free resources! ๐Ÿ’ป

๐‹๐ข๐ง๐ค๐Ÿ‘‡:-

https://pdlink.in/4mTFAaG

Start today and build a portfolio that gets you hired!โœ…๏ธ
๐Ÿฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ง๐—ผ ๐—–๐—ต๐—ฎ๐—ป๐—ด๐—ฒ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ ๐Ÿ˜

๐ŸŽฏ Want to switch careers or upgrade your skills โ€” without spending a single rupee?

Check out 6 handpicked, beginner-friendly courses in high-demand fields like Data Science, Web Development, Digital Marketing, Project Management, and more. ๐Ÿš€

๐‹๐ข๐ง๐ค๐Ÿ‘‡:-

https://pdlink.in/4e1I17a

๐Ÿ’ฅ Start learning today and build the skills top companies want!โœ…๏ธ
๐Ÿ”— Mastering LLMs and Generative AI
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