Roundups

The Full Range of Google AI Courses with Free Certificates: From Beginner to Advanced

Artificial intelligence (AI) is attracting a great deal of attention today, and below are the latest courses from Google Cloud. These beginner-to-advanced courses will guide you step by step as you explore, understand, practice, and create with AI, helping you understand how it can affect your business and how to use it.

Google continually updates its courses on Google Cloud Skills Boost with the latest knowledge.

There are 2 learning paths: one for people without a technical background: ‘The Artificial Intelligence Learning Path for Developers’.

The second is to save time by choosing individual courses and labs on topics that match your specific interests. Generative AI technology from Google Cloud is reimagining how businesses operate by harnessing data.

Wide-ranging use cases span everything from enabling smarter conversations and creating richer customer experiences to improving business processes, helping developers write code, and more. Google Cloud has spent decades bringing AI technology solutions to organizations, and Google’s tools make it easy to build experiences across its entire cloud portfolio.

Whether you are a senior executive, an IT decision-maker, someone in a nontechnical role, or a technical practitioner, Google has videos, courses, and labs to help you learn about the power of generative AI. The labs also provide direct access to Generative AI Studio and Vertex AI (Google Cloud’s machine learning platform) for hands-on experience. Get started with Google’s training list below.

Free introductory courses: no technical experience required

If you are short on time but want to learn the basics, Google’s Introduction to Generative AI course is a great place to start. It takes about 45 minutes to complete.

If getting started leaves you wanting to learn more, continue learning for free to earn the Generative AI Skill Badge. It includes the course above, plus two additional courses: ‘Introduction to Large Language Models’ and ‘Introduction to Responsible AI’. In total, it takes about two hours to complete, and you will receive a digital skill badge to share on your resume and social media to demonstrate your foundational understanding of Google Cloud’s AI technology.

Dive deeper with Google’s AI learning paths

For a more comprehensive learning experience, choose from Google’s two generative AI learning paths—a combination of courses, labs, and skill badges. Note: Google plans to add new courses to this list, so check back regularly for more details.

Introduction to Generative AI - this path includes free video courses. The content is nontechnical and introductory, designed for people in technology-adjacent roles such as sales, HR, marketing, and operations. Here is an overview of the content:

  • Introduction to Generative AI - course
  • Introduction to Large Language Models - course
  • Introduction to Responsible AI - course
  • Generative AI Fundamentals Skill Badge - earn a skill badge
  • Responsible AI: Applying AI Principles with Google Cloud - course

Generative AI for Developers - this path includes a combination of technical labs and courses and requires Google Cloud credits to complete. It is designed for technical developers working with generative AI and includes an introductory course as a prerequisite. The content includes:

  • Responsible AI for Developers - course
  • Introduction to Image Generation - course
  • Attention Mechanism - course
  • Encoder-Decoder Architecture - course
  • Transformer Models and BERT Model - course
  • Create Image Captioning Models - course
  • Introduction to Responsible AI - course
  • Generative AI Explorer: Vertex AI - earn a skill badge
  • Explore and Evaluate Models Using Model Garden - lab
  • Prompt Design Using PaLM - lab

Get technical with hands-on labs

Google currently offers generative AI labs for anyone who wants hands-on experience working directly in Google Cloud (sign-in and adding a credit card required):

Text embeddings with DeepLearning.AI and Andrew Ng

Google has brand-new content developed in collaboration with DeepLearning.AI and a world-renowned expert on the subject. Enroll for free in “Understanding and Applying Text Embeddings with Vertex AI” to learn about tasks such as classification, outlier detection, text clustering, and semantic search. You will also learn how to integrate them into LLM applications. Watch the video below to learn more about these exciting opportunities in text embeddings and generative AI.

https://www.youtube.com/shorts/9SYpG_tFT38

New for technically minded learners: Introduction to AI and Machine Learning

Get the big picture of how Google supports the journey from data to AI and how generative AI is integrated into Google’s AI development platform in Google’s new course, Introduction to AI and Machine Learning on Google Cloud, designed primarily for technical practitioners—AI developers, data scientists, and ML engineers. The course covers the technologies, products, and tools used to build an ML model, an ML pipeline, and an AI project based on the goals of data and AI practitioners. With four main modules that include labs and quizzes, this introductory course takes about six hours to complete and requires 12 credits.

Stay in the fast lane with Innovators Plus

Generative AI is constantly evolving, and Google is developing new training materials to help you keep your knowledge and career skills up to date. The Innovators Plus subscription gives you access not only to generative AI content but also to Google’s entire on-demand training catalog on Google Cloud Skills Boost and many other features. If you have already taken Google’s Introduction to Generative AI course, you have received an Innovators Plus discount code and will get a special $10 price for this class.

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