🚨 BREAKING: Google just released a set of free AI courses. Zero fees. No prior knowledge needed. Here are 12 courses you definitely don’t want to miss:

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12. Virtual Machines and Networking in the Cloud. • Deploy scalable, cost-effective Compute Engine VMs.• Build secure networks using VPCs.• Ensure uptime with Cloud Load Balancing.• Connect to on-prem or multi-cloud environments.• Speed up delivery with Cloud DNS and CDN

11. Digital Marketing & E‑commerce Certificate. You’ll learn about:.• Create digital marketing and e-commerce strategies.• Engage customers via search, content, and email.• Measure marketing analytics and share insights.• Build e-commerce stores, analyze performance, and

10. Data Analysis with Python. • Write Python programs to clean and prepare data.• Use EDA with Pandas, NumPy, and SciPy to find insights.• Apply data operations with dataframes for analysis.• Build and evaluate regression models with Scikit-learn for predictions

9. Google Data Analytics Capstone. • Understand key parts of a strong case study.• Apply data analysis steps to real data.• Learn how to use case studies in job applications.• Gain AI skills from Google experts for a career boost.

8. Generative AI for Software Developers Specialization. Boost your software development career with Gen AI. Build in-demand hands-on Generative AI skills for your elevating your software engineering game in 1 month or less.

7. Machine Learning Specialization. • Build ML models using NumPy and scikit-learn.• Train models for prediction and classification tasks.• Use TensorFlow to build neural networks for multi-class classification.• Work with decision trees and ensemble methods.• Apply ML best

6. Generative AI: Prompt Engineering. Apply prompt engineering techniques to text prompts, improving the reliability and quality of large language models.

5. Google Prompting Essentials. • Practice 5 key steps for writing better prompts.• Use prompts to help with daily work tasks.• Speed up data analysis and create presentations.• Design prompts to build AI agents for expert feedback and role-play

4. Introduction to Image Generation. • Learn about diffusion models in machine learning.• Understand how they work for image generation.• Explore why they’re gaining popularity in AI

3. Google Cybersecurity. • Learn why cybersecurity is important for organizations.• Know common risks and how to prevent them.• Use SIEM tools to protect data and systems.• Get hands-on practice with Python, Linux, and SQL.

2. Introduction to Large Language Models. • Introductory-level micro-learning course.• Explores what Large Language Models (LLMs) are.• Covers common use cases for LLMs.• Teaches how to use prompt tuning to improve LLM performance.• Introduces Google tools for building your

1. Generative AI for Data Analysts. Build generative AI skills for data analytics. Enhance your career as a data analyst with knowledge of generative AI! No prior experience necessary.

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