𝟲 𝗙𝗿𝗲𝗲 𝗙𝘂𝗹𝗹 𝗧𝗲𝗰𝗵 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗪𝗮𝘁𝗰𝗵 𝗥𝗶𝗴𝗵𝘁 𝗡𝗼𝘄😍
Ready to level up your tech game without spending a rupee? These 6 full-length courses are beginner-friendly, 100% free, and packed with practical knowledge📚🧑🎓
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Ready to level up your tech game without spending a rupee? These 6 full-length courses are beginner-friendly, 100% free, and packed with practical knowledge📚🧑🎓
Whether you want to code in Python, hack ethically, or build your first Android app — these videos are your shortcut to real tech skills📱💻
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Save this list and start crushing your tech goals today!✅️
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Ready Tensor’s Agentic AI Developer Certification is a free, project first 12‑week program designed to help you build and deploy real-world agentic AI systems. You'll complete three portfolio-ready projects using tools like LangChain, LangGraph, and vector databases, while deploying production-ready agents with FastAPI or Streamlit.
The course focuses on developing autonomous AI agents that can plan, reason, use memory, and act safely in complex environments. Certification is earned not by watching lectures, but by building — each project is reviewed against rigorous standards.
You can start anytime, and new cohorts begin monthly. Ideal for developers and engineers ready to go beyond chat prompts and start building true agentic systems.
👉 Apply now: https://www.readytensor.ai/agentic-ai-cert/
Ready Tensor’s Agentic AI Developer Certification is a free, project first 12‑week program designed to help you build and deploy real-world agentic AI systems. You'll complete three portfolio-ready projects using tools like LangChain, LangGraph, and vector databases, while deploying production-ready agents with FastAPI or Streamlit.
The course focuses on developing autonomous AI agents that can plan, reason, use memory, and act safely in complex environments. Certification is earned not by watching lectures, but by building — each project is reviewed against rigorous standards.
You can start anytime, and new cohorts begin monthly. Ideal for developers and engineers ready to go beyond chat prompts and start building true agentic systems.
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𝟯 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍
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7 Useful Python One-Liners
1. Reverse a string
print("Python"[::-1]) # Output: nohtyP
2. Check for Palindrome
is_palindrome = lambda s: s == s[::-1]
print(is_palindrome("madam")) # Output: True
3. Get all even numbers from a list
print([x for x in range(20) if x % 2 == 0])
4. Flatten a nested list
print([item for sublist in [[1,2],[3,4]] for item in sublist])
5. Find factorial of a number
import math; print(math.factorial(5)) # Output: 120
6. Count frequency of elements
from collections import Counter
print(Counter("banana")) # Output: {'a': 3, 'b': 1, 'n': 2}
7. Swap two variables
a, b = 5, 10
a, b = b, a
print(a, b) # Output: 10 5
For all resources and cheat sheets, check out my Telegram channel: https://news.1rj.ru/str/pythonproz
Python Projects: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a
Latest Jobs & Internship Opportunities: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
Hope it helps :)
1. Reverse a string
print("Python"[::-1]) # Output: nohtyP
2. Check for Palindrome
is_palindrome = lambda s: s == s[::-1]
print(is_palindrome("madam")) # Output: True
3. Get all even numbers from a list
print([x for x in range(20) if x % 2 == 0])
4. Flatten a nested list
print([item for sublist in [[1,2],[3,4]] for item in sublist])
5. Find factorial of a number
import math; print(math.factorial(5)) # Output: 120
6. Count frequency of elements
from collections import Counter
print(Counter("banana")) # Output: {'a': 3, 'b': 1, 'n': 2}
7. Swap two variables
a, b = 5, 10
a, b = b, a
print(a, b) # Output: 10 5
For all resources and cheat sheets, check out my Telegram channel: https://news.1rj.ru/str/pythonproz
Python Projects: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a
Latest Jobs & Internship Opportunities: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
Hope it helps :)
❤4
𝗧𝗼𝗽 𝟱 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗠𝗮𝘀𝘁𝗲𝗿𝘆😍
Want to become a Data Analyst but don’t know where to start? 🧑💻✨️
You don’t need to spend thousands on courses. In fact, some of the best free learning resources are already on YouTube — taught by industry professionals who break down everything step by step.📊📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/47f3UOJ
Start with just one channel, stay consistent, and within months, you’ll have the confidence (and portfolio) to apply for data analyst roles.✅️
Want to become a Data Analyst but don’t know where to start? 🧑💻✨️
You don’t need to spend thousands on courses. In fact, some of the best free learning resources are already on YouTube — taught by industry professionals who break down everything step by step.📊📌
𝐋𝐢𝐧𝐤👇:-
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Start with just one channel, stay consistent, and within months, you’ll have the confidence (and portfolio) to apply for data analyst roles.✅️
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Best way to prepare for a SQL interviews 👇👇
1. Review Basic Concepts: Ensure you understand fundamental SQL concepts like SELECT statements, JOINs, GROUP BY, and WHERE clauses.
2. Practice SQL Queries: Work on writing and executing SQL queries. Practice retrieving, updating, and deleting data.
3. Understand Database Design: Learn about normalization, indexes, and relationships to comprehend how databases are structured.
4. Know Your Database: If possible, find out which database system the company uses (e.g., MySQL, PostgreSQL, SQL Server) and familiarize yourself with its specific syntax.
5. Data Types and Constraints: Understand various data types and constraints such as PRIMARY KEY, FOREIGN KEY, and UNIQUE constraints.
6. Stored Procedures and Functions: Learn about stored procedures and functions, as interviewers may inquire about these.
7. Data Manipulation Language (DML): Be familiar with INSERT, UPDATE, and DELETE statements.
8. Data Definition Language (DDL): Understand statements like CREATE, ALTER, and DROP for database and table management.
9. Normalization and Optimization: Brush up on database normalization and optimization techniques to demonstrate your understanding of efficient database design.
10. Troubleshooting Skills: Be prepared to troubleshoot queries, identify errors, and optimize poorly performing queries.
11. Scenario-Based Questions: Practice answering scenario-based questions. Understand how to approach problems and design solutions.
12. Latest Trends: Stay updated on the latest trends in database technologies and SQL best practices.
13. Review Resume Projects: If you have projects involving SQL on your resume, be ready to discuss them in detail.
14. Mock Interviews: Conduct mock interviews with a friend or use online platforms to simulate real interview scenarios.
15. Ask Questions: Prepare questions to ask the interviewer about the company's use of databases and SQL.
Best Resources to learn SQL 👇
SQL Topics for Data Analysts
SQL Udacity Course
Download SQL Cheatsheet
SQL Interview Questions
Learn & Practice SQL
Also try to apply what you learn through hands-on projects or challenges.
Please give us credits while sharing: -> https://news.1rj.ru/str/free4unow_backup
ENJOY LEARNING 👍👍
1. Review Basic Concepts: Ensure you understand fundamental SQL concepts like SELECT statements, JOINs, GROUP BY, and WHERE clauses.
2. Practice SQL Queries: Work on writing and executing SQL queries. Practice retrieving, updating, and deleting data.
3. Understand Database Design: Learn about normalization, indexes, and relationships to comprehend how databases are structured.
4. Know Your Database: If possible, find out which database system the company uses (e.g., MySQL, PostgreSQL, SQL Server) and familiarize yourself with its specific syntax.
5. Data Types and Constraints: Understand various data types and constraints such as PRIMARY KEY, FOREIGN KEY, and UNIQUE constraints.
6. Stored Procedures and Functions: Learn about stored procedures and functions, as interviewers may inquire about these.
7. Data Manipulation Language (DML): Be familiar with INSERT, UPDATE, and DELETE statements.
8. Data Definition Language (DDL): Understand statements like CREATE, ALTER, and DROP for database and table management.
9. Normalization and Optimization: Brush up on database normalization and optimization techniques to demonstrate your understanding of efficient database design.
10. Troubleshooting Skills: Be prepared to troubleshoot queries, identify errors, and optimize poorly performing queries.
11. Scenario-Based Questions: Practice answering scenario-based questions. Understand how to approach problems and design solutions.
12. Latest Trends: Stay updated on the latest trends in database technologies and SQL best practices.
13. Review Resume Projects: If you have projects involving SQL on your resume, be ready to discuss them in detail.
14. Mock Interviews: Conduct mock interviews with a friend or use online platforms to simulate real interview scenarios.
15. Ask Questions: Prepare questions to ask the interviewer about the company's use of databases and SQL.
Best Resources to learn SQL 👇
SQL Topics for Data Analysts
SQL Udacity Course
Download SQL Cheatsheet
SQL Interview Questions
Learn & Practice SQL
Also try to apply what you learn through hands-on projects or challenges.
Please give us credits while sharing: -> https://news.1rj.ru/str/free4unow_backup
ENJOY LEARNING 👍👍
❤1
𝟱 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱 (𝗡𝗼 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗡𝗲𝗲𝗱𝗲𝗱!)😍
Ready to Upgrade Your Skills for a Data-Driven Career in 2025?📍
Whether you’re a student, a fresher, or someone switching to tech, these free beginner-friendly courses will help you get started in data analysis, machine learning, Python, and more👨💻🎯
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4mwOACf
Best For: Beginners ready to dive into real machine learning✅️
Ready to Upgrade Your Skills for a Data-Driven Career in 2025?📍
Whether you’re a student, a fresher, or someone switching to tech, these free beginner-friendly courses will help you get started in data analysis, machine learning, Python, and more👨💻🎯
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4mwOACf
Best For: Beginners ready to dive into real machine learning✅️
❤2