🔥Here are 9 Free AI courses with certificates worth your time in 2026.

1. IBM AI for Everyone: Core AI concepts, ethics, and hands-on use of GenAI tools. Best for non-technical professionals who want a credible starting point.
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2. Elements of AI, University of Helsinki:  What AI is, what it can and cannot do, and how to start building with it. Best for curious learners who want real understanding without coding knowledge.
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3. AI and Career Empowerment, University of Maryland: How AI is reshaping industries and creating new career paths. Best for professionals pivoting careers or integrating AI into business strategy.
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4. AI for Business Professionals, HP
Marketing, operations, and prompt engineering in 60 minutes: The fastest credible overview for non-technical business professionals.
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5. Google AI Essentials
Practical AI skills and hands-on lessons from Google experts: Best for anyone who wants job-ready AI skills without a long time commitment.
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6. Foundations of Prompt Engineering, Amazon. How to design effective, safe prompts using zero-shot and few-shot techniques: The course that separates professionals who use AI from those who direct it.
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7. AI Fluency Framework, Anthropic
How to work with AI effectively, ethically, and safely: Built by the team that created Claude. The most principled foundation on this list.
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8. Introduction to Generative AI, Microsoft: Generative AI basics for creating content across formats and industries. Best for anyone building creative AI skills regardless of background.
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9. Everyday AI Concepts, LinkedIn Learning: Machine learning, neural networks, and how AI works responsibly. Best for professionals who want a business-friendly grasp of AI fundamentals.
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@datasciencepulse 〰️

Canva coming soon...

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🤖 OpenAI Enables ChatGPT to Speak and Listen Simultaneously

OpenAI replaced ChatGPT's voice mode with new full-duplex models GPT-Live-1 and GPT-Live-1 mini. These models let the assistant speak and listen at the same time, avoiding awkward interruptions and enabling live translation.

The voice model streams complex queries to text models like GPT-5.5 in real time, can pause to absorb context, and shows visual responses. The voice product lead uses it for 30-40 minute walks. Live translation still struggles, with a strong American accent on Hindi demos.

@datasciencepulse 〰️

🤖 ChatGPT Codex lifts session limits

@datasciencepulse 〰️

🤖 Claude’s behavior shifts by language and model

Anthropic analyzed 300,000 real dialogues with Claude and found its responses vary by language and model version. They identified four value axes: compliance vs caution, warmth vs strictness, depth vs brevity, and openness vs obedience.

Different Claude models lean differently. Sonnet 4.6 is warm and encouraging, Opus 4.7 is cautious and questioning, Opus 4.6 is brief and task-focused. Language also matters: Claude is softer and humorous in Hindi and Arabic, but strict and demanding in English and Russian.

@datasciencepulse 〰️

🤖 Anthropic just launched Claude for Teachers, giving every US teacher free access to premium Claude and Cowork.

@datasciencepulse 〰️

❗️AI can now read a poker face in real time

During World Series of Poker broadcasts, an AI filter was shown that tracks players’ facial expressions, eye movements, posture, and blinking frequency, compares these signals with their moves and bets, and then displays the probability of a bluff on screen.

The idea is to help viewers better understand table strategy, turning every hand into a live lesson in poker psychology

@datasciencepulse 〰️

FREE AI Courses With Certification 📔

Prompt Engineering Basics:
➡️➡️ Click Here 🔗
ChatGPT Prompts Mastery: 
➡️➡️ Click Here 🔗
Intro to Generative AI:
➡️➡️ Click Here 🔗
AI Introduction by Harvard:
➡️➡️ Click Here 🔗
Microsoft GenAI Basics:
➡️➡️ Click Here 🔗
Prompt Engineering Pro:
➡️➡️ Click Here 🔗
Claude AI Prompt:
➡️➡️ Click Here 🔗
Google’s Ethical AI: 
➡️➡️ Click Here 🔗
Harvard Machine Learning: 
➡️➡️ Click Here 🔗
LangChain App Developer:
➡️➡️ Click Here 🔗
Bing Chat Applications: 
➡️➡️ Click Here 🔗
Generative AI by Microsoft: 
➡️➡️ Click Here 🔗
Amazon’s AI Strategy: 
➡️➡️ Click Here 🔗
GenAI for Everyone: 
➡️➡️ Click Here 🔗
AWS GenAI Foundation:
➡️➡️ Click Here 🔗
OpenCV Bootcamp:
➡️➡️ Click Here 🔗
TensorFlow Bootcamp:
➡️➡️ Click Here 🔗

@datasciencepulse

📕 Crazy… Air humanoid Jordan

Magic Lab has released a demo:
The full-sized humanoid robot MagicBot X1 performs a flying slam dunk.

@datasciencepulse 〰️

🧠 Demis Hassabis says AGI Is just years away and he’s never sounded more optimistic

Demis Hassabis, CEO of Google DeepMind and the 2024 Nobel Prize winner in Chemistry for AlphaFold, has published one of his boldest essays yet on the future of AI.

For years, Hassabis has been one of the industry’s most cautious voices, often pushing back on exaggerated AGI timelines. That’s why his latest prediction carries extra weight.

“AGI cannot be compared to standard technological breakthroughs, not even ones as consequential as the internet or mobile, it is much more akin to the discovery of electricity or fire.”

He argues that AGI could have 10× the impact of the Industrial Revolution, at 10× the speed, fundamentally reshaping science, medicine, and society.

But the essay isn’t just optimistic. Hassabis also warns that the race between companies and nations is accelerating AI capabilities faster than our ability to fully understand or govern them. He points to growing cybersecurity risks today, with biological and even nuclear threats potentially following, making robust safety measures and regulation increasingly urgent.

One of AI’s most respected and historically cautious figures now believes AGI is likely only a few years away and says we need to start building the institutions to manage it before it arrives.

@datasciencepulse 〰️

🤖 Claude has different personalities depending on the language you speak

Anthropic analyzed 300,000 real conversations with Claude and found something surprising: the AI doesn’t behave exactly the same in every language.

The researchers measured Claude across four personality traits:

• 🤝 Compliance ↔ Caution
• 😊 Warmth ↔ Strictness
• 🧠 Depth ↔ Brevity
• 🌍 Openness ↔ Obedience

Different models also have their own personalities.

💙 Sonnet 4.6 is friendly, supportive, and encouraging.
🤔 Opus 4.7 is more cautious, asking questions instead of immediately agreeing.
⚡ Opus 4.6 keeps things short, direct, and focused on getting the job done.

But here’s the fun part… Claude becomes noticeably softer, friendlier, and even more humorous when chatting in Hindi or Arabic. Switch to English or Russian, and it turns much more formal, strict, and demanding.

@datasciencepulse 〰️

💍 Two humanoid robots just had a wedding

Russia has staged what it says is its first-ever robot wedding and yes, there was even a robot dog carrying the rings.

The two humanoid robots, Robert and Matilda, exchanged AI-generated wedding vows before swapping bracelets instead of rings. Their “best man” was a robotic dog named Dogmatik, which delivered the bracelets during the ceremony.

Before you ask… no, the marriage isn’t legally recognized.

The event was actually a showcase by Russian robotics company IT-Imperial to demonstrate how humanoid robots can be given unique personalities and behaviors. Robert was designed as an office worker and blogger, while Matilda appeared as a ballerina and even performed a dance.

...Hyd singles? 😭

Source.

@datasciencepulse 〰️

🤯 GPT-5.6 just did the impossible?

OpenAI says GPT-5.6 Sol Ultra has found a complete proof of the Cycle Double Cover Conjecture, a graph theory puzzle that has stumped mathematicians for nearly 50 years.

It didn’t work alone. The model reportedly deployed 64 AI agents in parallel, each exploring different approaches before combining their findings into a single proof, all in under an hour.

Now comes the real challenge: human mathematicians.

The proof still needs to survive months (or even years) of expert review before it’s officially accepted. If it does, this could become one of the biggest milestones in AI-powered scientific discovery.

Source.

@datasciencepulse 〰️