1- Introduction to Generative AI
Learn the basics of Generative AI and how it differs from traditional machine learning. Explore the Google tools used to develop your own AI applications.
Link: https://www.cloudskillsboost.google/course_templates/539
2- Introduction to Large Language Models
Explore what Large Language Models are and their common practical use cases. Learn how prompt tuning can improve model results and efficiency.
Link: https://www.cloudskillsboost.google/course_templates/552
3- Introduction to Responsible AI
Understand why Google prioritizes ethical AI and the principles behind responsible development. Learn how to identify and reduce bias in AI systems.
Link: https://www.cloudskillsboost.google/course_templates/554
4 – Data Analysis with Python
Master Python libraries like Pandas and Numpy for cleaning and analyzing large datasets. Learn to build predictive models and perform technical data explorations.
Link: https://www.coursera.org/learn/data-analysis-with-python
5 – Foundations of Cybersecurity
Explore common digital threats and the core principles used to protect organizational data. Gain the foundational knowledge needed to start a career in security.
Link: https://www.coursera.org/learn/foundations-of-cybersecurity
6 – AI for Small Businesses
Learn how to use Gemini and
NotebookLM to automate administration and create marketing content. This training helps small business owners save time and reach more customers.
Link: https://grow.google/ai-for-small-businesses/
උපුටා ගැනීම : Nûwân K Vîtž
