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Grow Your Developer Skills with Free Google Cloud Study Jams EMEA 2025

The Google Cloud Study Jams EMEA 2025 program is officially open — and it’s the perfect chance for developers, students, and tech enthusiasts across Europe, the Middle East, and Africa (EMEA) to grow their skills in Google Cloud and Artificial Intelligence (AI).

This 6-week program, hosted by Google, provides participants with free access to guided learning paths, hands-on labs, and Google Cloud credits — helping you gain real, practical experience with cloud technologies.

What Is Cloud Study Jams?

Cloud Study Jams are part of Google’s global initiative to help developers learn through hands-on experience.
The EMEA 2025 edition focuses on cloud fundamentals, AI integration, big data, and application development, giving you the skills you need to build modern cloud-based solutions.

Participants will receive:

  • Access to 4 curated learning paths (beginner + intermediate)
  • Practical, hands-on experience using Google Cloud and AI tools
  • Google Cloud credits for completing labs and exercises
  • Access to the Google Cloud Skills Boost training platform

What You’ll Learn

Over the six weeks, you’ll explore the key areas driving innovation in today’s tech world — from cloud architecture to AI-powered applications.

Key Learning Topics:

  • ☁️ Cloud Infrastructure
  • 📊 Big Data Analysis
  • 🤖 Artificial Intelligence
  • 🧩 Creating Applications in Cloud
  • 🧠 System Design

Recommended Learning Path Order

To get the most from the program, Google recommends following this order of courses:

1️⃣ Getting Started with Google Cloud Learning Path

Duration: 24 hours
Start your Google Cloud journey!
This learning path introduces you to the fundamentals of Google Cloud with on-demand courses, labs, and skill badges. You’ll gain hands-on experience and can explore 700+ additional labs and courses for continued learning.

2️⃣ Beginner: Introduction to Generative AI Learning Path

Duration: 8 hours
This course provides an overview of generative AI — covering large language models (LLMs), responsible AI, and practical applications in Google Cloud.

3️⃣ Build and Modernize Applications With Generative AI

Duration: 18 hours
Learn the core concepts of Google’s Gemini language model and how to build generative AI applications on Google Cloud.
You’ll end with a hands-on lab that walks you through creating your own AI-powered app using Gemini and Streamlit.

4️⃣ Gemini for Google Cloud Learning Path

Duration: 14 hours 45 minutes
This path focuses on how to use Gemini for Google Cloud to increase productivity.
Learn how Gemini’s natural language chat can help answer cloud-related questions, generate code, and assist developers, data analysts, and engineers across multiple roles.

🎁 Claim Your Swag!

Learning has never been this rewarding!
As you complete the learning paths, you can earn official Google Cloud swag.

Here’s how:

🧩 Tier 1: Complete 2 Paths

Earn a core pack of swag, including:

  • Sticker pack (Google & Google Cloud stickers)
  • Socks
  • Eco tote bag

(Visuals may vary from actual items.)

🏆 Tier 2: Complete 4 Paths

Unlock all Tier 1 swag +

  • Bottle
  • Cap

(Visuals may vary from actual items.)

💡 The more learning paths you complete, the more rewards you earn.

Eligibility Criteria

To join the program, you should:

  • Have experience with at least one programming language
  • Be based in EMEA (Europe, Middle East, or Africa)

Don’t worry if you’re new to Google Cloud — beginners are encouraged to apply!

💵 Program Cost

The program is completely free for all selected participants.

🗓️ Registration Dates

  • Opens: October 6, 2025
  • Closes: November 20, 2025
  • Enroll – Click Here

Once selected, you’ll receive a confirmation email with your access code and next steps.

🎓 Accessing Google Cloud Skills Boost Credits

To activate your free credits, you’ll need to complete the steps between October 8 and November 20, 2025.

Follow these exact instructions:

  1. Create a free account at cloudskillsboost.google.
  2. Log out after creating your account (do not buy any credits).
  3. Open an incognito window in your browser (Ctrl/Cmd + Shift + N).
  4. Go to the special URL shared with you after the kickoff call.
  5. Sign in to your Cloud Skills Boost account.
  6. Verify that you’ve received 9 credits (refresh if needed).
  7. Start your first lab and complete it with 100% score.
  8. Spend at least 6 minutes in the lab before ending it.
  9. Submit the lab feedback and check your profile for a 2-month pass.

If credits don’t appear:

  • Sign out and check again in 15 minutes
  • Clear your cache and cookies, then log back in
  • If still missing, contact Cloud Skills Boost Support via chat (“?” icon → Help)

💬 FAQs

Q: Who can participate?
Developers or students based in the EMEA region.

Q: Do I need prior Google Cloud experience?
No, beginners are welcome.

Q: Is the program free?
Yes — 100% free for all selected participants.

Q: How will I know if I’m selected?
You’ll receive a confirmation email with your access code.

Q: How do I share my progress or badges?
Follow this official guide:
🔗 Sharing your Cloud Skills Boost profile and badges

Final Thoughts

The Google Cloud Study Jams EMEA 2025 program is an incredible opportunity to:

  • Gain practical experience with Google Cloud
  • Explore Generative AI and Gemini tools
  • Earn Google Cloud credits and official swag
  • Connect with a community of developers across EMEA

Whether you’re starting your cloud journey or expanding your AI knowledge, this program helps you learn, build, and grow — all for free.

☁️ Skill up with Google Cloud and become part of the next generation of cloud innovators.


About The Author

CJ

CJ is a Cloud Computing lead at TUM Developers Club with a strong passion for Cloud Computing (AWS). He also possesses skills in web development and video editing. Aspiring to become a Cloud Engineer, he is committed to mastering cutting-edge technologies to build secure, efficient, and scalable solutions. CJ enjoys sharing knowledge and staying ahead of IT innovations.

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