Artificial intelligence (AI) is everywhere, from large language models (LLMs) to virtual assistants. The pace at which it is growing and evolving is unprecedented. As industries are increasingly relying on AI tools, mastering AI skills has become crucial for anyone aspiring to thrive in this dynamic field. If you are looking to build a future in this exciting field, then starting from the basics is a good start.
Owing to the increased demand for AI tools, top tech companies like Google are offering free courses and certifications to help individuals develop their skills in AI.
Why should you consider taking these free AI courses? They provide essential skills that are in high demand across industries. Mastering AI can lead to diverse job opportunities, from data analysis to developing cutting-edge technologies.
If you are interested, you can check out this comprehensive guide on the best Google AI courses and certifications available for free in 2024. This guide will help you navigate through the various options and choose the ones that best suit your learning goals and interests. Let’s begin.
List of FREE Google AI Courses in 2024
| Course Name | Duration | Level | Key Topics | Direct Course Link |
| Introduction to Generative AI | 45 minutes | Beginner | Generative AI, Machine Learning | Introduction to Generative AI |
| Responsible AI: Applying AI Principles | 1 hour 30 minutes | Beginner | Responsible AI, Machine Learning, AI | Responsible AI |
| Prompt Design in Vertex AI | 5 hours 15 minutes | Beginner | Vertex AI Gemini API, Generative AI Implementation, Prompt Engineering, Image Analysis | Prompt Design in Vertex AI |
| Introduction to Large Language Models | 30 minutes | Beginner | Machine Learning Model Training, Machine Learning Models, Large Language Models, Prompt Tuning, Generative AI | Introduction to LLMs |
| Introduction to Responsible AI | 30 minutes | Beginner | Responsible AI, Google AI Principles | Introduction to Responsible AI |
| Conversational AI on Vertex AI and Dialogflow CX | 5 hours | Intermediate | Generative AI for Dialogflow CX, Generative Fallback, Generative Playbooks | Conversational AI on Vertex AI and Dialogflow CX |
| Introduction to Vertex AI Studio | 2 hours | Beginner | Generative AI, Large Language Models, Python, Vertex AI, Getting Started with Vertex AI Studio | Introduction to Vertex AI Studio |
| Machine Learning Operations (MLOps) for Generative AI | 30 minutes | Intermediate | The evolution of MLOps, MLOps framework for Generative AI, Navigating Generative AI: Embracing Nuances and Adapting MLOps, Vertex AI | Machine Learning Operations (MLOps) for Generative AI |
| Enterprise Search on Generative AI App Builder | 30 minutes | Intermediate | Generative AI on Google Cloud, Enterprise Search Use Cases, Displaying Enterprise Search Results, Enterprise Search Analytics | Enterprise Search on Generative AI App Builder |
| Handle Consumer Interactions with CCAIP | 2 hours 30 minutes | Beginner | Call Adapter, Chat Adapter, CCAIP | Handle Consumer Interactions with CCAIP |
Introduction to Generative AI
What We Like:
- Beginner friendly
- Provides a hands-on learning experience.
- Provides a straightforward explanation of what Generative AI is.
- Includes Google Tools for developing Gen AI apps.
- Has a manageable duration for each component (video, reading, quiz).
What We Don’t Like:
- Does not delve deeply into advanced topics or complex use cases of Generative AI.
- Primarily focuses on Google Tools for Gen AI development, potentially limiting exposure to alternative tools and approaches.
- Quiz section might feel lengthy for some learners, considering its 25-minute duration.
- Lacks interactive elements like simulations or practical exercises.
About the Course: Google’s introductory course is the perfect guide to get started in the world of generative AI. It provides a clear and concise overview of what Generative AI is, how it is used, and how it stands apart from traditional machine learning methods.
Throughout the course, users will explore practical applications and learn to leverage Google Tools to develop their own Generative AI applications. The content of the course is structured into three manageable sections:
- Video: A 22-minute introductory video explaining the fundamentals of Generative AI.
- Document: A 30-minute reading material that delves deeper into the concepts and applications of Generative AI.
- Quiz: A 25-minute quiz to test your understanding and reinforce your learning.
Upon completion, the user will earn a badge to showcase their new skills.
COURSE DETAILS
| Provider | Google Cloud |
| Duration | 45 minutes |
| Level | Beginner |
| Description | “This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.” |
| Key Topics | Generative AI, Machine Learning |
| Correct URL Link to Course | https://www.cloudskillsboost.google/course_templates/536 |
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Responsible AI: Applying AI Principles with Google Cloud
What We Like:
- Emphasizes the importance of ethical AI practices.
- Provides a practical guide for implementing AI principles.
- Offers insights from Google’s experience with AI.
- Covers business, ethical, and operational aspects of AI.
- Available in multiple languages for a global audience.
What We Don’t Like:
- Requires basic AI and ML understanding.
- Does not cover technical ML details.
- Few assessments throughout the modules.
About the Course: This introductory course teaches users how to operationalize responsible AI in their organization using Google Cloud’s best practices and lessons learned. They will explore AI’s impact, ethical considerations, and Google’s AI Principles. The course also covers making a business case for responsible AI, setting up and running reviews, and identifying ethical issues. It is ideal for those with basic AI and machine learning knowledge.
COURSE DETAILS
| Provider | Google Cloud |
| Duration | 1 hour 30 minutes |
| Level | Beginner |
| Description | “In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.” |
| Key Topics | Responsible AI, Machine Learning, AI |
| Correct URL Link to Course | https://www.cloudskillsboost.google/course_templates/388 |
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Prompt Design in Vertex AI
What We Like:
- Provides practical, hands-on experience with Vertex AI and Gemini.
- Covers prompt engineering, image analysis, and multimodal techniques.
- Focuses on applying skills to real-world marketing scenarios.
- Includes a challenge lab to test the user’s knowledge and skills.
- Course materials are free and are accessible to a wide audience.
What We Don’t Like:
- Access to labs requires a subscription or credits.
- The course requires over five hours to complete, which may be lengthy for some.
- Available only in English, limiting accessibility for non-English speakers.
- Assumes a foundational understanding of generative AI and prompt design.
- Challenge lab might be difficult without a solid grasp of prior content.
About the Course: This beginner-friendly course on Prompt Design in Vertex AI will help develop skills in prompt engineering, image analysis, and multimodal generative techniques using Vertex AI. Users will get to learn how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. It includes four hands-on labs, providing practical experience with Vertex AI Studio, the Vertex AI Gemini API, and Python SDK.
COURSE DETAILS
| Provider | Google Cloud |
| Duration | 5 hours 15 minutes |
| Level | Beginner |
| Description | “Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI.” |
| Key Topics | Vertex AI Gemini API, Generative AI Implementation, Prompt Engineering, Image Analysis |
| Correct URL Link to Course | https://www.cloudskillsboost.google/paths/118/course_templates/976 |
Introduction to Large Language Models
What We Like:
- Accessible to everyone including beginners, regardless of their prior knowledge.
- Covers essential topics like LLMs, use cases, and prompt tuning.
- Provides insights into Google tools for developing Gen AI apps.
- Available in multiple languages for a diverse audience.
What We Don’t Like:
- May be too introduction for those with prior knowledge of LLMs.
- Brief duration limits the depth of information covered.
- Mainly consists of a video, document, and quiz.
- Lacks practical, hands-on experience.
- Only one quiz to assess understanding, which may not be comprehensive.
About the Course: This short course takes about 30 minutes to complete and gives a quick overview of large language models (LLMs), what they are used for, and how to improve their performance with prompt tuning. It also introduces tools from Google that assist in developing personal generative AI applications. The course consists of a 16-minute video, a 30-minute reading document, and a 10-minute quiz. With no prerequisites required, it is accessible to anyone interested in learning about LLMs.
COURSE DETAILS
| Provider | Google Cloud |
| Duration | 30 minutes |
| Level | Beginner |
| Description | “This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance.” |
| Key Topics | Machine Learning Model Training, Machine Learning Models, Large Language Models, Prompt Tuning, Generative AI |
| Correct URL Link to Course | https://www.cloudskillsboost.google/paths/118/course_templates/539 |
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Introduction to Responsible AI
What We Like:
- Accessible to everyone, regardless of prior knowledge or experience in AI.
- Provides essential knowledge on the importance of responsible AI.
- Introduces Google’s 7 AI principles and offers a trusted framework.
- Available in multiple languages and caters to a global audience.
What We Don’t Like:
- The course may be too simple for those already familiar with responsible AI.
- Brief duration limits the depth and detail of the information covered.
- Mainly consists of a video and a quiz, with no hands-on activities.
- Only one quiz to assess understanding, which might not be comprehensive.
- Lacks practical, hands-on experience or real-world application.
About the Course: This 30-minute microlearning course delves into what responsible AI is, its importance, and how Google implements responsible AI in their products. It covers Google’s 7 AI principles and provides a foundational understanding of responsible AI practices. The course also includes a 9-minute video and a 20-minute quiz. It is available in thirteen languages including English.
COURSE DETAILS
| Provider | Google Cloud |
| Duration | 30 minutes |
| Level | Beginner |
| Description | “This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it’s important, and how Google implements responsible AI in their products.” |
| Key Topics | Responsible AI, Google AI Principles |
| Correct URL Link to Course | https://www.cloudskillsboost.google/course_templates/554 |
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Conversational AI on Vertex AI and Dialogflow CX
What We Like:
- Offers a thorough introduction to the new generative AI features in Dialogflow CX.
- Offers a hands-on learning experience through quizzes and practical tasks.
- Includes a variety of videos, links, and quizzes.
- Covers important topics like architecture, authentication, access control, data governance, and compliance.
What We Don’t Like:
- Requires prior experience and knowledge of Dialogflow CX.
- Not suitable for beginners.
- Only available in English, limiting access for non-English speakers.
- Primarily focuses on self-paced learning, with instructor-led sessions available separately.
About the Course: The course is designed for developers and engineers wanting to learn about the new generative artificial intelligence (AI) features in Dialogflow CX. It provides an in-depth explanation for creating virtual agents that can hold natural and fluent conversations. It includes topics such as managing data in a data store, and maintaining both generative AI agents and hybrid agents. After finishing the course, learners will be skilful in using these high-level characteristics to make sure their virtual agents can manage complicated customer interactions.
COURSE DETAILS
| Provider | Google Cloud |
| Duration | 5 hours |
| Level | Intermediate |
| Description | “In this course, you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers.” |
| Key Topics | Generative AI, Dialogflow CX, Generative Fallback, Vertex AI Search and Conversation Architecture and Security |
| Correct URL Link to Course | https://www.cloudskillsboost.google/course_templates/892?catalog_rank=%7B%22rank%22%3A11%2C%22num_filters%22%3A1%2C%22has_search%22%3Atrue%7D&search_id=32627675 |
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Introduction to Vertex AI Studio
What We Like:
- The course is short and can be completed in two hours.
- Includes a practical lab session that helps reinforce learning through real-world application.
- Available in multiple languages and is accessible to a global audience.
- Provides a solid foundation on Vertex AI Studio and its features.
What We Don’t Like:
- Requires basic knowledge of generative AI and programming.
- Not beginner-friendly.
- Does not cover advanced topics in detail.
About the Course: The course provides an overview of Vertex AI Studio, a tool for creating and modifying generative AI models. Learners will learn about the process involved in generative AI workflow through engaging lessons, exciting demos, and a hands-on lab experience. The topics covered include using Vertex AI Studio for Gemini multimodal applications, quick design, and model tweaking.
COURSE DETAILS
| Provider | Google Cloud |
| Duration | 2 hours |
| Level | Beginner |
| Description | “This course introduces Vertex AI Studio, a tool for prototyping and customizing generative AI models.” |
| Key Topics | Generative AI, Large Language Models, Python, Vertex AI, Getting Started with Vertex AI Studio |
| Correct URL Link to Course | https://www.cloudskillsboost.google/course_templates/552/video/471559 |
Machine Learning Operations (MLOps) for Generative AI
What We Like:
- Content is concise and takes only 30 minutes.
- Designed for intermediate learners.
- Includes practical tools for MLOps teams.
- Focuses on the specific challenges of deploying and managing Generative AI models.
- Explores how Vertex AI can streamline MLOps processes.
What We Don’t Like:
- Requires prior knowledge of Python and foundational machine learning concepts.
- Course might be too brief for some learners.
About the Course: This 30-minute intermediate-level course delivers the knowledge and tools needed to manage and deploy Generative AI models effectively. This includes the history of MLOps, its structure in the Generative AI field, and the issues encountered here. It also discusses how Vertex AI empowers AI teams by simplifying their tasks, allowing them to succeed with Generative AI projects.
COURSE DETAILS
| Provider | Google Cloud |
| Duration | 30 minutes |
| Level | Intermediate |
| Description | “This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models.” |
| Key Topics | The evolution of MLOps, MLOps framework for Generative AI, Navigating Generative AI: Embracing Nuances and Adapting MLOps, Vertex AI |
| Correct URL Link to Course | https://www.cloudskillsboost.google/course_templates/927/video/469813 |
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Enterprise Search on Generative AI App Builder
What We Like:
- Provides a thorough coverage of Generative AI on Google Cloud.
- Includes a variety of learning materials, such as videos, documents, and quizzes.
- Also covers practical use cases and hands-on data management techniques.
What We Don’t Like:
- Course might be challenging for those without a basic coding background.
- There is no support or interaction with instructors.
About the Course: This is an intermediate-level course that assists developers and machine learning engineers to incorporate enterprise-grade generative AI search in their applications. It tackles typical difficulties experienced by enterprises in making information accessible, by teaching how to develop, control, and show search outcomes from different data origins. This course also includes the architecture and security features of Generative AI App Builder, as well as analytics for product usage.
COURSE DETAILS
| Provider | Google Cloud |
| Duration | 8 hours |
| Level | Intermediate |
| Description | “This course teaches you to use Generative AI App Builder to integrate enterprise-grade generative AI search.” |
| Key Topics | Generative AI on Google Cloud, Enterprise Search Use Cases, Displaying Enterprise Search Results, Enterprise Search Analytics |
| Correct URL Link to Course | https://www.cloudskillsboost.google/course_templates/612/video/412250 |
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Handle Consumer Interactions with CCAIP
What We Like:
- It is specifically tailored for contact center agents.
- Provides a practical training on handling call and chat interactions.
- Includes real-life scenarios for better understanding.
What We Don’t Like:
- The course duration might be too short for comprehensive learning.
- Might be less beneficial for advanced users due to its introductory level.
About the Course: This introductory course assists contact center agents in understanding the main features and uses of the Contact Center AI Platform (CCAIP). It is one unified platform that allows organizations to put into service CCAI without needing different technology providers. The course covers setting an agent account, exploring the Call and Chat Adapters, and making use of their features for dealing with consumer interactions. It includes practical examples and problem-solving instructions for the facilitation of learning.
COURSE DETAILS
| Provider | Google Cloud |
| Duration | 2 hours 30 minutes |
| Level | Introductory |
| Description | “This course teaches contact center agents about the core agent features and functionality in Contact Center AI Platform (CCAIP).” |
| Key Topics | Call Adapter, Chat Adapter, CCAIP |
| Correct URL Link to Course | https://www.cloudskillsboost.google/course_templates/944/documents/487861 |
Conclusion
The age of AI has just begun. AI will keep on upgrading and evolving, and with this, it becomes necessary to continuously upskill and stay updated with the latest advancements in the field. The Google AI courses and certifications that we have listed above can help you stay ahead of the curve and position yourself for success in this rapidly growing industry. These courses will help you gain valuable knowledge and skills, which will ultimately help you enhance your career and stay competitive.
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