Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera

Free Lectures to learn about Transformers &LLMs by Stanford:

* Lecture 1:https://www.youtube.com/watch?v=Ub3GoFaUcds
* Lecture 2: https://www.youtube.com/watch?v=yT84Y5zCnaA
* Lecture 3: https://www.youtube.com/watch?v=Q5baLehv5So
* Lecture 4: https://www.youtube.com/watch?si=rDWyAdUtQqxGkaW2&v=VlA_jt_3Qc4&feature=youtu.be

🗓️ Do yourself a favor: block 2-3 hours this weekend and go through them. The course will keep updating throughout the quarter on Stanford’s YouTube channel.

If you’re in AI... whether building infra, agents, or apps, this is the foundational course you don’t want to miss.

Double Tap ♥️ For More Free Resources

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🔟 Free useful resources to learn Machine Learning

👉 Google

https://developers.google.com/machine-learning/crash-course

👉 Leetcode

https://leetcode.com/explore/featured/card/machine-learning-101

👉 Hackerrank

https://www.hackerrank.com/domains/ai/machine-learning

👉 Hands-on Machine Learning

https://t.iss.one/datasciencefun/424

👉 FreeCodeCamp

https://www.freecodecamp.org/learn/machine-learning-with-python/

👉 Machine learning projects

https://t.iss.one/datasciencefun/392

👉 Kaggle

https://www.kaggle.com/learn/intro-to-machine-learning

https://www.kaggle.com/learn/intermediate-machine-learning

👉 Geeksforgeeks

https://www.geeksforgeeks.org/machine-learning/

👉 Create ML Models

https://docs.microsoft.com/en-us/learn/paths/create-machine-learn-models/

👉 Machine Learning Test Cheat Sheet

https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/

Join @free4unow_backup for more free resources

ENJOY LEARNING 👍👍

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2.21K views08:35

At the entrance to the University of Stellenbosch (South Africa) there is the following message:

The destruction of any nation does not require atomic bombs or the use of long-range missiles.

All that is required is a reduction in the quality of education and allowing students to cheat on exams.

▪️Patients die at the hands of such doctors.

▪️Buildings are destroyed at the hands of such engineers.

▪️Money is lost at the hands of such economists and accountants.

▪️Justice is lost in the hands of such lawyers and judges.

The collapse of education is the collapse of the nation!

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2.25K views09:20

✅ JavaScript Objects – Interview Questions & Answers ⚡🧠

🔹 1. What is an object in JavaScript?
An object is a collection of key-value pairs used to store related data and functionality.
Example:

const user = { name: "Alice", age: 25 };

🔹 2. How do you access object properties?
Using dot or bracket notation:

user.name  // "Alice"  
user["age"]  // 25

🔹 3. How can you loop through an object?
Use for...in or Object.keys()/Object.entries():

for (let key in user) { console.log(key, user[key]); }

🔹 4. Difference between Object.freeze() and Object.seal()?
⦁ freeze() prevents any change (no adding, deleting, or modifying properties).
⦁ seal() allows value changes, but not adding/removing keys.

🔹 5. How do you clone an object?

const clone = {...user };  
// or  
const copy = Object.assign({}, user);

🔹 6. What is this inside an object?
this refers to the object itself in method context.

const person = {
  name: "Bob",
  greet() { return `Hi, I’m ${this.name}`; }
};

🔹 7. How do prototypes relate to objects?
Every JS object has a hidden [[Prototype]]. It lets objects inherit properties from others.

🔹 8. What is a constructor function?
A function used to create multiple similar objects:

function User(name) {
  this.name = name;
}
const u = new User("Tom");

🔹 9. What's the difference between Object.create() and new keyword?
⦁ Object.create(proto) creates an object with the given prototype.
⦁ new invokes a constructor function to initialize objects.

🔹 10. How do you check if a property exists in an object?
"name" in user // true
user.hasOwnProperty("age") // true

💬 Tap ❤️ for more!

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2.02K views02:47

The program for the 10th AI Journey 2025 international conference has been unveiled: scientists, visionaries, and global AI practitioners will come together on one stage. Here, you will hear the voices of those who don't just believe in the future—they are creating it!

Speakers include visionaries Kai-Fu Lee and Chen Qufan, as well as dozens of global AI gurus from around the world!

On the first day of the conference, November 19, we will talk about how AI is already being used in various areas of life, helping to unlock human potential for the future and changing creative industries, and what impact it has on humans and on a sustainable future.

On November 20, we will focus on the role of AI in business and economic development and present technologies that will help businesses and developers be more effective by unlocking human potential.

On November 21, we will talk about how engineers and scientists are making scientific and technological breakthroughs and creating the future today!

Ride the wave with AI into the future!

Tune in to the AI Journey webcast on November 19-21.

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1.72K viewsedited 14:39

Tune in to the 10th AI Journey 2025 international conference: scientists, visionaries, and global AI practitioners will come together on one stage. Here, you will hear the voices of those who don't just believe in the future—they are creating it!

Speakers include visionaries Kai-Fu Lee and Chen Qufan, as well as dozens of global AI gurus! Do you agree with their predictions about AI?

On November 20, we will focus on the role of AI in business and economic development and present technologies that will help businesses and developers be more effective by unlocking human potential.

On November 21, we will talk about how engineers and scientists are making scientific and technological breakthroughs and creating the future today! The day's program includes presentations by scientists from around the world:
- Ajit Abraham (Sai University, India) will present on “Generative AI in Healthcare”
- Nebojša Bačanin Džakula (Singidunum University, Serbia) will talk about the latest advances in bio-inspired metaheuristics
- AIexandre Ferreira Ramos (University of São Paulo, Brazil) will present his work on using thermodynamic models to study the regulatory logic of transcriptional control at the DNA level
- Anderson Rocha (University of Campinas, Brazil) will give a presentation entitled “AI in the New Era: From Basics to Trends, Opportunities, and Global Cooperation”.

And in the special AIJ Junior track, we will talk about how AI helps us learn, create and ride the wave with AI.

The day will conclude with an award ceremony for the winners of the AI Challenge for aspiring data scientists and the AIJ Contest for experienced AI specialists. The results of an open selection of AIJ Science research papers will be announced.

Ride the wave with AI into the future!

Tune in to the AI Journey webcast on November 19-21.

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1.82K views11:02

Top Free AI Courses from Google: ⬇️

1. Intro to the Cloud

Understand the cloud and why it's critical in AI.

Link: https://lnkd.in/eU6icWR3

2. Prompt Design in Vertex AI

Master better prompts & use Gemini effectively.

Link: https://lnkd.in/eAaG_iHb

3. Google AI Essentials (via Coursera)

Use AI to brainstorm, write faster, and be more productive.

Link: https://lnkd.in/eJYGt2Xa

4. What is Generative AI?

Google’s free certified course explains it in simple terms.

Perfect for beginners — no coding needed.

Link: https://lnkd.in/eqqa37dV

5. Introduction to Machine Learning

Make predictions from data and explore ethical AI.

Link: https://lnkd.in/eHpGkmrx

6. Intro to Large Language Models (LLMs)

Learn how LLMs (like ChatGPT) work and why they matter.

Google’s FREE certified course is live now:

Link: https://lnkd.in/enNnyxwU

7. Applying AI Principles with Google Cloud

Learn how Google applies responsible AI in practice.

Link: https://lnkd.in/eRU7xB_t

8. Basics of Code

A beginner-friendly intro to programming and logic.

👉 https://lnkd.in/eUd_XEcf

9. Cloud Computing Foundations

Dive into cloud, big data, and ML — in one course.

Link: https://lnkd.in/ebVfPdrD

10. Intro to Responsible AI

Learn how to build safer and more inclusive AI systems.

Link: https://lnkd.in/e4EC8xNJ

Double Tap ❤️ For More

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2.06K views18:15

Data Science courses with Certificates (FREE)

❯ Python
cs50.harvard.edu/python/

❯ SQL
https://www.kaggle.com/learn/advanced-sql

❯ Tableau
openclassrooms.com/courses/5873606-learn-how-to-master-tableau-for-data-science

❯ Data Cleaning
kaggle.com/learn/data-cleaning

❯ Data Analysis
freecodecamp.org/learn/data-analysis-with-python/

❯ Mathematics & Statistics
matlabacademy.mathworks.com

❯ Probability
mygreatlearning.com/academy/learn-for-free/courses/statistics-for-data-science-probability

❯ Deep Learning
kaggle.com/learn/intro-to-deep-learning

Double Tap ❤️ For More

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1.99K views05:14

✅ Learn New Skills FREE 🔰

1. Web Development ➝
◀️ https://t.iss.one/webdevcoursefree

2. CSS ➝
◀️ https://css-tricks.com

3. JavaScript ➝
◀️ https://t.iss.one/javascript_courses

4. React ➝
◀️ https://react-tutorial.app

5. Tailwind CSS ➝
◀️ https://scrimba.com

6. Data Science ➝
◀️ https://t.iss.one/datasciencefun

7. Python ➝
◀️ https://pythontutorial.net

8. SQL ➝
◀️ https://t.iss.one/sqlanalyst

9. Git and GitHub ➝
◀️ https://GitFluence.com

10. Blockchain ➝
◀️ https://t.iss.one/Bitcoin_Crypto_Web

11. Mongo DB ➝
◀️ https://mongodb.com

12. Node JS ➝
◀️ https://nodejsera.com

13. English Speaking ➝
◀️ https://t.iss.one/englishlearnerspro

14. C#➝
◀️https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/

15. Excel➝
◀️ https://t.iss.one/excel_analyst

16. Generative AI➝
◀️ https://t.iss.one/generativeai_gpt

Join @free4unow_backup for more free courses

Like for more ❤️

ENJOY LEARNING👍👍

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2.06K views17:37

https://t.iss.one/stockmarketinginsights

Finance, Investing & Stock Marketing

🔰Learn Stock Marketing and Finance from Scratch
🔰Learn new ways to invest for future opportunities

Admin: @love_data

#Crypto #AI #Exchanges #Finance #Stocks #Business #Blockchains

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1.5K views19:25

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1.75K views11:20

Learn New Skills FREE:

1. HTML ➝ https://t.iss.one/webdevcoursefree/870

2. CSS ➝ https://css-tricks.com

3. JavaScript ➝ https://t.iss.one/javascript_courses/309

4. React ➝ https://react-tutorial.app

5. Tailwind CSS ➝ https://scrimba.com

6. Vue ➝ https://vueschool.io

7. Python ➝ https://t.iss.one/pythonanalyst

8. SQL ➝ https://t.iss.one/sqlanalyst

9. Git and GitHub ➝ https://GitFluence.com

10. Blockchain ➝ https://Cryptozombies.io

11. Mongo DB ➝ https://mongodb.com

12. Node JS ➝ https://nodejsera.com

➡️ Give Reactions 🙌

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2.09K views18:56

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1.42K viewsedited 17:13

If you want to get a job as a machine learning engineer, don’t start by diving into the hottest libraries like PyTorch,TensorFlow, Langchain, etc.

Yes, you might hear a lot about them or some other trending technology of the year...but guess what!

Technologies evolve rapidly, especially in the age of AI, but core concepts are always seen as more valuable than expertise in any particular tool. Stop trying to perform a brain surgery without knowing anything about human anatomy.

Instead, here are basic skills that will get you further than mastering any framework:

𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 - My first exposure to probability and statistics was in college, and it felt abstract at the time, but these concepts are the backbone of ML.

You can start here: Khan Academy Statistics and Probability - https://www.khanacademy.org/math/statistics-probability

𝐋𝐢𝐧𝐞𝐚𝐫 𝐀𝐥𝐠𝐞𝐛𝐫𝐚 𝐚𝐧𝐝 𝐂𝐚𝐥𝐜𝐮𝐥𝐮𝐬 - Concepts like matrices, vectors, eigenvalues, and derivatives are fundamental to understanding how ml algorithms work. These are used in everything from simple regression to deep learning.

𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 - Should you learn Python, Rust, R, Julia, JavaScript, etc.? The best advice is to pick the language that is most frequently used for the type of work you want to do. I started with Python due to its simplicity and extensive library support, and it remains my go-to language for machine learning tasks.

You can start here: Automate the Boring Stuff with Python - https://automatetheboringstuff.com/

𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 - Understand the fundamental algorithms before jumping to deep learning. This includes linear regression, decision trees, SVMs, and clustering algorithms.

𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧:
Knowing how to take a model from development to production is invaluable. This includes understanding APIs, model optimization, and monitoring. Tools like Docker and Flask are often used in this process.

𝐂𝐥𝐨𝐮𝐝 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚:
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and big data tools (Spark) is increasingly important as datasets grow larger. These skills help you manage and process large-scale data efficiently.

You can start here: Google Cloud Machine Learning - https://cloud.google.com/learn/training/machinelearning-ai

I love frameworks and libraries, and they can make anyone's job easier.

But the more solid your foundation, the easier it will be to pick up any new technologies and actually validate whether they solve your problems.

USEFUL RESOURCES TO LEARN MACHINE LEARNING
👇👇

Intro to ML by MIT Free Course

https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about

Machine Learning for Everyone FREE BOOK

https://buildmedia.readthedocs.org/media/pdf/pymbook/latest/pymbook.pdf

ML Crash Course by Google

https://developers.google.com/machine-learning/crash-course

Advanced Machine Learning with Python Github

https://github.com/PacktPublishing/Advanced-Machine-Learning-with-Python

Practical Machine Learning Tools and Techniques Free Book

https://vk.com/doc10903696_437487078?hash=674d2f82c486ac525b&dl=ed6dd98cd9d60a642b

Python Machine Learning for beginners

https://t.iss.one/datasciencefun/1177?single

https://topmate.io/coding/914624

All the best 👍👍

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1.69K viewsedited 09:10

Here's a handy list of 11 free OpenAI prompt engineering courses perfect for mastering ChatGPT from beginner to advanced levels:

1. Introduction to Prompt Engineering
Learn the basics of writing clear, effective prompts.
Course Link

2. Advanced Prompt Engineering
Learn advanced prompt structures for precision & control.
Course Link

3. ChatGPT 101: A Guide to Your AI Superassistant
Use ChatGPT smartly for daily tasks.
Course Link

4. ChatGPT Projects
Build hands-on projects to practice prompting skills.
Course Link

5. ChatGPT & Reasoning
Train ChatGPT to think logically and explain reasoning.
Course Link

6. Multimodality Explained
Learn how ChatGPT processes text, visuals & inputs together.
Course Link

7. ChatGPT Search
Learn advanced search & research workflows inside ChatGPT.
Course Link

8. OpenAI, LLMs & ChatGPT
Understand how OpenAI models and LLMs work.
Course Link

9. Introduction to GPTs
Learn how to build and customize your own GPTs.
Course Link

10. ChatGPT for Data Analysis
Analyze data, charts, and sheets directly with ChatGPT.
Course Link

11. Deep Research
Use Deep Research for sourced insights & summaries.
Course Link

ChatGPT hit 800M users in just 3 years — less than 1% truly master it. Learn these skills today and lead tomorrow!

Save 🔖 this post for later

💡 Double Tap ♥️ For More!

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1.61K viewsedited 18:34

Useful websites to practice and enhance your Web Development skills
👇👇

1. HTML

https://www.w3schools.com/html/

2. CSS

https://www.w3schools.com/css/

https://cssbattle.dev/

3. Front End Development Libraries

https://www.freecodecamp.org/learn/front-end-development-libraries/

4. Java script

https://javascript30.com/

https://snipcart.com/blog/javascript-practice-exercises

https://www.codewars.com/collections/coding-challenges

5. React

https://t.iss.one/webdevcoursefree/110

https://fullstackopen.com/en/part10

6. Other Resources

https://devchallenges.io/

https://codier.io/

Join @free4unow_backup for more free courses

ENJOY LEARNING 👍👍

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1.85K views18:07

1.42K viewsedited 07:39

🖥 Website To Learn Programming & Data Analytics

1. Learn HTML :- html.com
2. Learn CSS :- css-tricks.com
3. Learn Tailwind CSS :- tailwindcss.com
4. Learn JavaScript :- imp.i115008.net/mgGagX
5. Learn Bootstrap :- getbootstrap.com
6. Learn DSA :- t.iss.one/dsabooks
7. Learn Git :- git-scm.com
8. Learn React :- react-tutorial.app
9. Learn API :- rapidapi.com/learn
10. Learn Python :- t.iss.one/pythondevelopersindia
11. Learn SQL :- t.iss.one/sqlspecialist
12. Learn Web3 :- learnweb3.io
13. Learn JQuery :- learn.jquery.com
14. Learn ExpressJS :- expressjs.com
15. Learn NodeJS :- nodejs.dev/learn
16. Learn MongoDB :- learn.mongodb.com
17. Learn PHP :- phptherightway.com/
18. Learn Golang :- learn-golang.org/
19. Learn Power BI :- t.iss.one/powerbi_analyst
20. Learn Data Analytics:- t.iss.one/learndataanalysis
21. Learn Excel:- https://t.iss.one/excel_data

Join for more free resources: https://t.iss.one/free4unow_backup

ENJOY LEARNING 👍👍

❤6

1.31K viewsedited 06:24

🚨 FREE Data Analytics Courses with Certificate! 🚨

These are directly from IBM, Microsoft & AWS – finish them and get real certificates/badges to add to your resume & LinkedIn instantly 🔥

1️⃣ IBM Data Analyst Professional Certificate • 100% FREE (no payment ever) • 10 courses + projects + digital badge • Covers: Python, SQL, Excel, Visualization, Dashboarding → Start here: https://skillsbuild.org/adult-learners/explore-learning/data-analyst

2️⃣ Microsoft Fabric Data Analyst Certification (DP-600) • Training + Exam voucher = 100% FREE (limited time 2025) • Official Microsoft certification (huge resume value) • Covers: Power BI, Data Modeling, Fabric Lakehouse → Grab your free voucher: https://community.fabric.microsoft.com/t5/Power-BI-Community-Blog/Fabric-Data-Days-Get-Certified/ba-p/4858740

3️⃣ AWS Data Analytics Learning Path + Badges • 600+ free courses & digital badges • Covers: Data Lakes, Athena, Redshift, QuickSight • Badges auto-added to your AWS profile → Start here: https://aws.amazon.com/training/digital/ (search “analytics”)

Double Tap ♥️ If you find this helpful

❤5

689 viewsedited 09:41

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