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😎🎓Google, Harvard, and more are offering FREE AI courses (no payment required)

🎁Here are 8 FREE courses to master AI in 2025:



1. Google AI Courses

Google offers 5 different courses to learn generative AI from the ground up.

Start with an Introduction to AI and finish having a solid understanding of AI as a whole.

🦾 https://lnkd.in/eW5k4DVz


2. Microsoft AI Course

Microsoft offers an AI course that covers the basics and then more.

Start off with an introduction and continue through learning about neural networks and deep learning.

🦾 https://lnkd.in/eKJ9qmEQ


3. Introduction to AI with Python

Harvard University is offering a full 7-week course to explore the concepts and algorithms of AI.

Start with the technologies behind AI and end with knowledge of AI principles and machine learning libraries.

🦾 https://lnkd.in/g4Sbb3nQ


4. Prompt Engineering for ChatGPT

This 6 module course by Vanderbilt University offers beginners a starting point to writing better prompts.

Start by learning effective prompting and complete the course knowing how to bend ChatGPT to your will.

🦾 https://lnkd.in/d-rCb-AM


5. ChatGPT Prompt Engineering for Devs

OpenAI in collab with DeepLearning is offering this course taught by Isa Fulford and Andrew Ng.

Start off with best practices and finish with a better understanding of prompting with hands-on practice.

🦾 https://lnkd.in/gtGc5Znp


6. LLMOps

Google Cloud in collab with DeepLearning is offering this brand new course taught by Erwin Huizenga.

Go through the LLMOps pipeline of pre-processing training data and adapt a supervised tuning pipeline to train and deploy a custom LLM.

🦾 https://lnkd.in/gMXDr7MJ


7. Big Data, Artificial Intelligence, and Ethics

In this 4 module course, the University of California - Davis covers big data and introduces IBM's Watson.

Start by learning about big data opportunities and end knowing the limitations of AI.

🦾 https://lnkd.in/gVEf3Dvm


8. AI Applications and Prompt Engineering

edX has an introductory course on prompt engineering that goes beyond the basics.

Start by learning the basics and end knowing how to create your own applications.

🦾 https://lnkd.in/g2P9U_Bs


Take Coursera courses without the trial:

First, go to the course you want to take and click 'Enroll for free', then 'Audit the course'.

Note: You'll need to create an account to take courses, but won't need to pay anything.



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😎🎓Google, Harvard, and more are offering FREE AI courses (no payment required)

🎁Here are 8 FREE courses to master AI in 2025:



1. Google AI Courses

Google offers 5 different courses to learn generative AI from the ground up.

Start with an Introduction to AI and finish having a solid understanding of AI as a whole.

🦾 https://lnkd.in/eW5k4DVz


2. Microsoft AI Course

Microsoft offers an AI course that covers the basics and then more.

Start off with an introduction and continue through learning about neural networks and deep learning.

🦾 https://lnkd.in/eKJ9qmEQ


3. Introduction to AI with Python

Harvard University is offering a full 7-week course to explore the concepts and algorithms of AI.

Start with the technologies behind AI and end with knowledge of AI principles and machine learning libraries.

🦾 https://lnkd.in/g4Sbb3nQ


4. Prompt Engineering for ChatGPT

This 6 module course by Vanderbilt University offers beginners a starting point to writing better prompts.

Start by learning effective prompting and complete the course knowing how to bend ChatGPT to your will.

🦾 https://lnkd.in/d-rCb-AM


5. ChatGPT Prompt Engineering for Devs

OpenAI in collab with DeepLearning is offering this course taught by Isa Fulford and Andrew Ng.

Start off with best practices and finish with a better understanding of prompting with hands-on practice.

🦾 https://lnkd.in/gtGc5Znp


6. LLMOps

Google Cloud in collab with DeepLearning is offering this brand new course taught by Erwin Huizenga.

Go through the LLMOps pipeline of pre-processing training data and adapt a supervised tuning pipeline to train and deploy a custom LLM.

🦾 https://lnkd.in/gMXDr7MJ


7. Big Data, Artificial Intelligence, and Ethics

In this 4 module course, the University of California - Davis covers big data and introduces IBM's Watson.

Start by learning about big data opportunities and end knowing the limitations of AI.

🦾 https://lnkd.in/gVEf3Dvm


8. AI Applications and Prompt Engineering

edX has an introductory course on prompt engineering that goes beyond the basics.

Start by learning the basics and end knowing how to create your own applications.

🦾 https://lnkd.in/g2P9U_Bs


Take Coursera courses without the trial:

First, go to the course you want to take and click 'Enroll for free', then 'Audit the course'.

Note: You'll need to create an account to take courses, but won't need to pay anything.

BY FinExecutive #1 in finance jobs




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That hurt tech stocks. For the past few weeks, the 10-year yield has traded between 1.72% and 2%, as traders moved into the bond for safety when Russia headlines were ugly—and out of it when headlines improved. Now, the yield is touching its pandemic-era high. If the yield breaks above that level, that could signal that it’s on a sustainable path higher. Higher long-dated bond yields make future profits less valuable—and many tech companies are valued on the basis of profits forecast for many years in the future. After fleeing Russia, the brothers founded Telegram as a way to communicate outside the Kremlin's orbit. They now run it from Dubai, and Pavel Durov says it has more than 500 million monthly active users. Telegram has gained a reputation as the “secure” communications app in the post-Soviet states, but whenever you make choices about your digital security, it’s important to start by asking yourself, “What exactly am I securing? And who am I securing it from?” These questions should inform your decisions about whether you are using the right tool or platform for your digital security needs. Telegram is certainly not the most secure messaging app on the market right now. Its security model requires users to place a great deal of trust in Telegram’s ability to protect user data. For some users, this may be good enough for now. For others, it may be wiser to move to a different platform for certain kinds of high-risk communications. Telegram was co-founded by Pavel and Nikolai Durov, the brothers who had previously created VKontakte. VK is Russia’s equivalent of Facebook, a social network used for public and private messaging, audio and video sharing as well as online gaming. In January, SimpleWeb reported that VK was Russia’s fourth most-visited website, after Yandex, YouTube and Google’s Russian-language homepage. In 2016, Forbes’ Michael Solomon described Pavel Durov (pictured, below) as the “Mark Zuckerberg of Russia.” Since its launch in 2013, Telegram has grown from a simple messaging app to a broadcast network. Its user base isn’t as vast as WhatsApp’s, and its broadcast platform is a fraction the size of Twitter, but it’s nonetheless showing its use. While Telegram has been embroiled in controversy for much of its life, it has become a vital source of communication during the invasion of Ukraine. But, if all of this is new to you, let us explain, dear friends, what on Earth a Telegram is meant to be, and why you should, or should not, need to care.
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