9 Kursus Gratis dari Google

 1. Introduction to Generative AI
https://lnkd.in/dqCWt_mN
👉 Learn the basics that everyone's talking about.

2. Introduction to Large Language Models
https://lnkd.in/gTswMgeu
👉 Understand how AI actually works.

3. Introduction to Responsible AI
https://lnkd.in/dJZWM3SP
👉 Build AI that doesn't break things.

4. Introduction to Image Generation
https://lnkd.in/dGue9qXG
👉 Create visuals with AI tools.

5. Introduction to Gemini for Google Workspace
https://lnkd.in/dzafy7HM
👉 Make your work 10x faster.

6. Introduction to Vertex AI Studio
https://lnkd.in/dei8aWqh
👉 Google's professional AI platform.

7. Create Image Captioning Models
https://lnkd.in/dS3PAS5U
👉 Build AI that describes pictures.

8. Gemini for Data Scientists and Analysts
https://lnkd.in/dhgYayTX
👉 Turn data into insights instantly.

9. Prompt Design in Vertex AI
https://lnkd.in/duBAhsq9
👉 Write prompts that actually work.

The gap between AI-skilled and non-skilled
workers grows every day.

Kreator AI Akademik

 Key Voices for AI in Academic Research

One easy way to learn AI tools,
is to follow creators in the field.
They share current and new tools.

Here are 10 top voices to follow:

● Mushtaq Bilal, PhD
AI assisted academic writing and workshops
● Faheem Ullah
AI tools for academic writing and research
● Dr Rizwana Mustafa
AI tools for academic writing and research coaching
● Sowmiya Rani Ph.D. Rani
AI AI tools for academic writing, manuscript prep and plagiarism checks
● Amina Yonis, PhD
Ethical AI use in academic writing education
● Muhammad Irfan 🧬
AI tools for academic writing and research
● Razia Aliani
Testing AI tools for literature review and analysis
● Ethan Mollick
AI’s impact on education
● Paras Karmacharya, MD MS
AI tools for academic workflow efficiency
● Ilya Shabanov
AI solutions for research and publishing

Kursus Online Gratis - Kampus MIT university

 

MIT just released FREE online courses.

Here are 7 courses you don't want to miss in 2025:

__________

1. Introduction to Computer Science and Programming Using Python.

𝐓𝐨𝐩𝐢𝐜𝐬:

• A Notion of computation
• Python programming language
• Some simple algorithms
• Informal introduction to algorithmic complexity

Link: https://edx.sjv.io/oqKPA9
__________

2. Machine Learning with Python

𝐓𝐨𝐩𝐢𝐜𝐬:

• ML problem principles
• Choosing suitable models for different apps
• ML project implementation: Training, validation, tuning, and feature engineering

Link: https://edx.sjv.io/0Z6XbV
__________

3. Becoming an Entrepreneur

𝐓𝐨𝐩𝐢𝐜𝐬:

• Overcoming the top myths of entrepreneurship
• Defining your goals as an entrepreneur and startup
• Identifying business opportunities
• Performing market research and choosing your target customer

Link: https://edx.sjv.io/EK6Gk4
__________

4. Foundations of Modern Finance

𝐓𝐨𝐩𝐢𝐜𝐬:

• Valuation of fixed income securities and common stocks
• Risk analysis, APT, Efficient Market Hypothesis
• Introduction to corporate finance and capital budgeting and more

Link: https://edx.sjv.io/R5rYzg
__________

5. Supply Chain Analytics

𝐓𝐨𝐩𝐢𝐜𝐬:

• Basic analytical methods
• Statistics in supply chains
• Formulating and solving optimization models

Link: https://edx.sjv.io/Y9A4XR
__________

6. Understanding the World Through Data.

𝐓𝐨𝐩𝐢𝐜𝐬:

• Dependent and independent variables
• Python programming and the Colab notebook programming environment
• Relationships between data using linear and polynomial regression models

Link: https://edx.sjv.io/Kj62rx
__________

7. The Secret of Life

𝐓𝐨𝐩𝐢𝐜𝐬:

• How to describe the building blocks of life and how their interactions dictate structure and function in biology
• How to predict genotypes and phenotypes given genetics data and more

Link: https://edx.sjv.io/LXLojZ

Kursus Online Gratis KAMPUS OXFORD

 

Oxford University Has Just Released Free Courses

𝐍𝐨 𝐏𝐚𝐲𝐦𝐞𝐧𝐭 𝐍𝐞𝐞𝐝𝐞𝐝

1. Machine Learning Course
- Understand machine learning's role and evolution.
- Learn about supervised, unsupervised, and reinforcement learning.
- Gain hands-on experience with ML models.
🔗https://lnkd.in/g3dHhMsH


2. What is Generative Artificial Intelligence?
- Explore the importance and concepts of generative AI.
- Learn about GANs, VAEs, and autoregressive models.
- Discover applications in various industries.
🔗https://lnkd.in/gTNZ82_G


3. Deep Learning
- Understand deep learning history and concepts.
- Learn about neural networks and backpropagation.
- Explore CNNs, RNNs, and NLP applications.
🔗https://lnkd.in/gSSPdHCn


4. What Is Midjourney AI?
- Learn about Midjourney AI's significance and history.
- Understand the models and techniques used.
- Gain insights into AI-generated content creation.
🔗https://lnkd.in/ghJAdPB4


5. What is OpenAI?
- Understand OpenAI's mission and contributions.
- Explore key research areas like NLP and robotics.
- Learn about OpenAI's ethical principles and impact.
🔗https://lnkd.in/gXGhS7NF


6. Stable Diffusions
- Learn about stable diffusions in AI and mathematics.
- Explore diffusion model applications and techniques.
- Gain practical skills in diffusion model analysis.
🔗https://lnkd.in/gFxbeeNt


7. Dall-E Course
- Understand DALL-E's development and architecture.
- Learn how it converts text inputs to visual outputs.
- Explore practical applications in creative industries.
🔗https://lnkd.in/gMNzh5K7


8. AI Claude
- Learn about AI Claude's origins and architecture.
- Explore its applications in diverse sectors.
- Understand principles like NLP and ethical AI.
🔗https://lnkd.in/gAwJfXQh


9. AI General Intelligence
- Understand AGI vs. narrow AI and current progress.
- Explore research approaches to achieving AGI.
- Learn about cognitive science principles in AGI.
🔗https://lnkd.in/gpzy4jCQ


10. Online Chat with AI
- Explore AI's role in chat systems and communication.
- Learn about NLP and UX design in chatbot development.
- Discover tools for developing AI chat systems.
🔗https://lnkd.in/g_JK4QYu

Kursus Online Gratis di HARVARD UNIVERSITY

 🎓 Harvard University just released free online courses
No payment needed.

Here are 10 Harvard courses you don’t want to miss:

---

1. Introduction to Data Science with Python
Gain hands-on experience and solve real data science challenges using Python.
🔗 https://edx.sjv.io/EEAoRn
---

2. Introduction to Cybersecurity
This program offers an introduction to cybersecurity, suitable for both technical and non-technical audiences.

Beginner level
5-week program
🔗 https://edx.sjv.io/6yzrV3

---

3. Understanding Technology
For students who don’t (yet!) consider themselves computer persons.

Beginner-friendly
6-week program
🔗 https://edx.sjv.io/yqqdWy

4. Data Science: Productivity Tools
Generate reproducible reports using GitHub, Git, Unix/Linux, and RStudio.

Beginner-friendly
8-week program
🔗 https://edx.sjv.io/K0Engz

---

5. Introduction to Game Development
Learn 2D and 3D game development.

Intermediate level
12-week program
🔗 https://edx.sjv.io/QJEm0z

---

6. Introduction to AI with Python
Learn machine learning in Python.

Beginner-friendly
7-week program
🔗 https://edx.sjv.io/g1Bg15

---

7. Data Science: Machine Learning
Build a movie recommendation system and explore data science techniques.
🔗 https://edx.sjv.io/NkW4NN

---

8. Web Programming with Python and JavaScript
Use Python, JavaScript, and SQL for advanced web app development.
🔗 https://edx.sjv.io/Z6E9qW
---

9. Leaders of Learning
Explore theories of learning and leadership.

Beginner
10-week program
🔗 https://edx.sjv.io/WyEmgn
---

10. Introduction to Computer Science
Covers core CS principles and programming.

Beginner level
12-week program
🔗 https://edx.sjv.io/nXV0ga

---

🔥 BONUS: Free (Google) Courses You Will Regret Not Taking in 2025

---

1. Google Introduction to Generative AI
🔗 https://lnkd.in/gwaWewce

---

2. Foundations of Project Management
🔗 https://lnkd.in/g-XJuJBi

---

3. Google Project Management
🔗 https://lnkd.in/d-nTbsxA

---

4. IBM Python for Data Science, AI & Development
🔗 https://lnkd.in/dTjC2hER

---

5. Google Digital Marketing & E-commerce
🔗 https://lnkd.in/dm6WuNYR

---

6. Google IT Support
🔗 https://lnkd.in/dbJvRjed

---

7. Google Data Analytics
🔗 https://lnkd.in/gBjbwiZW

---

8. Machine Learning Specialization
🔗 https://lnkd.in/dc-gmvw5

---

9. Deep Learning Specialization
🔗 [https://lnkd.in/diJ_3Rcz)

---

10. Google Cybersecurity
🔗 https://lnkd.in/gRDM9Z-u

---

11. Google UX Design
🔗 https://lnkd.in/dVBDiUXX

---

12. Web Applications for Everybody Specialization
🔗 https://lnkd.in/dXD6J5gr

---

13. Google Get Started with Python
🔗 https://lnkd.in/dghiBatd

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hashtag#HarvardOnline
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hashtag#LifelongLearning
hashtag#Upskill2025
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hashtag#LearnWithMe

9 Pedoman Master AI Prompt

 80% of what you need to know about AI
is packed inside these 9 FREE PDFs⤵


Understanding AI isn’t just an advantage—it’s a necessity.

These guides are your fast track to understanding AI’s present and future.

1️⃣ Prompting Guide 101 by Gemini
Master the art of effective prompting for Gemini in Google Workspace.

https://lnkd.in/dmEmYcCp

2️⃣ Prompt Engineering (Lee Boonstra)
A brilliant whitepaper blending technical depth with accessible insights.

https://lnkd.in/d2Riyfez

3️⃣ Foundational Large Language Models & Text Generation
Understand how LLMs are transforming AI capabilities today.

https://lnkd.in/dVH7Ak6u

4️⃣ Identifying & Scaling AI Use Cases
A must-read for leaders aiming to build scalable AI strategies.

https://lnkd.in/dNj5nN_p

5️⃣ A Practical Guide to Building Agents
Perfect for product & engineering teams building their first AI agents.

https://lnkd.in/dX9TXiss

6️⃣ Agents Companion
A non-technical deep dive into AI agents ops and evaluation.

https://lnkd.in/dFH2SGSh

7️⃣ Building Effective Agents
A practical roadmap to creating reliable AI systems.

https://lnkd.in/dH-CZP25

8️⃣ Mastering AI Agents
Learn to pick, evaluate, and improve AI agents for your specific needs.

https://lnkd.in/dXF6Pfnz

9️⃣ AI in the Enterprise
How AI is revolutionizing business operations, productivity, and innovation.

https://lnkd.in/dYqA9crG