Artificial Intelligence Courses Offered by Google –There is no specific age at which a person should stop learning. As we encounter new innovations, developments, and changes in our daily lives, it’s essential to remain open to learning new things. With the rise of Artificial Intelligence (AI), the world is evolving quickly, and many technologies across various sectors are transforming.
From the moment you check your smartphone in the morning to watching a Netflix recommendation, AI has seamlessly integrated into our everyday routines. According to a study by Statista, the global AI market is projected to grow by up to 54% annually.
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What Is Artificial Intelligence?
Artificial Intelligence (AI) refers to a computer program that can think, learn, and make decisions independently. It mimics human intelligence, enabling machines to perform tasks that would usually require human involvement. AI goes beyond simple automation, encompassing a wide array of capabilities that allow machines to understand, reason, learn, and communicate in ways that resemble human behavior.
In essence, any program that performs tasks typically associated with human intelligence can be classified as artificial intelligence. AI systems are designed to learn and adapt on their own, continually improving their performance without direct human intervention.
5 free AI courses offered by Google
1. Introduction to Generative AI
One of the Artificial Intelligence Courses Offered by Google – titled “Introduction to Generative AI,” designed to explain what Generative AI is, how it works, and how it differs from traditional machine learning methods.
Objectives: •
- Establish a clear definition of Generative AI
- Elucidate the operational mechanisms of Generative AI
- Clarify the various types of Generative AI models
- Discuss the applications of Generative AI
2. Introduction to Image Generation
For those eager to gain insights into the theory of diffusion models and their preparation and delivery on Vertex AI, this course is recommended for participants and is offered at no expense.
Google asserts that this course will explore diffusion models, a category of machine learning models that have recently shown significant potential in image generation. The foundational concepts of diffusion models are primarily derived from thermodynamics and physics. Over the past few years, diffusion models have gained considerable attention in both academic research and industry applications.
Objectives:
- Understanding the functioning of diffusion models
- Practical applications of diffusion models
- Unconditioned diffusion models
- Progress in diffusion models (text-to-image).
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3. Introduction to Responsible AI
According to Google, the course titled Introduction to Responsible AI serves as a foundational microlearning program designed to clarify the concept of responsible artificial intelligence, its importance, and the methods by which Google implements ethical AI practices in its products. Furthermore, the course outlines Google’s seven principles of AI. Artificial Intelligence Courses Offered by Google
Objectives:
- Understand why Google has implemented AI principles.
- Recognize the importance of adopting responsible AI practices within an organization.
- Acknowledge that decisions made throughout a project’s lifecycle influence responsible AI outcomes.
- Recognize that organizations can tailor AI design to align with their unique business needs and values.
4. Introduction to Vertex AI Studio
Vertex AI Studio, a platform designed for the prototyping and customization of generative AI models, is presented in this course. Engaging lessons, interactive demonstrations, and a practical lab will guide you through the generative AI workflow, enabling you to effectively utilize Vertex AI Studio for Gemini multimodal applications, prompt design, and model optimization. The objective is to equip you with the skills necessary to harness the potential of these models within your projects using Vertex AI Studio.Its one of the best Artificial Intelligence Courses Offered by Google
Objectives:
- Explain what Vertex AI Studio is.
- Use Gemini multimodal capabilities within Vertex AI Studio.
- Create prompts by applying configurations and best practices.
- Fine-tune models by exploring different methods and the overall process.
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5. Create Real World AI applications with Gemini and Imagen
Are you keen on expanding your knowledge regarding the deployment of applications on the Vertex AI platform, as well as exploring image recognition, natural language processing, and image generation utilizing Google’s advanced Gemini and Imagen models? Those who wish to delve deeper are encouraged to enroll in the Gemini and Imagen course, as recommended by Google.
Google AI Course Milestone
Explore the latest generative AI training courses, suitable for all levels, from beginner to advanced. Begin with an introductory course or jump straight into advanced training designed for application developers or data scientists.
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