Master Generativ AI from Google for Free
October 23, 2023 2023-10-23 1:11Master Generativ AI from Google for Free
In the rapidly evolving world of technology, staying updated with the latest trends is essential. The emergence of Generative AI (Gen AI) offers remarkable opportunities for innovation and a deepened understanding of the digital landscape. Google, a trailblazer in digital innovation, has curated a series of comprehensive courses designed to provide insights into the realm of Gen AI. These free resources are a boon to anyone seeking to sharpen their skills, enhance their career, or deepen their knowledge of modern AI techniques.
Introduction to Generative AI
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Duration: 1 day
π Level: Introductory
π° Price: Free
This course serves as a stepping stone into the world of Generative AI. It offers a concise overview of what Gen AI encompasses, how it diverges from traditional machine learning methods, and the tools Google provides to develop bespoke Gen AI applications.
Key Objectives:
- Define Generative AI.
- Understand how Generative AI functions.
- Identify Generative AI Model Types and Applications.
https://www.cloudskillsboost.google/course_templates/536
Engaging with this course provides learners, be it students, professionals, or tech enthusiasts, with a competitive edge in the vast realm of AI. Understanding Gen AI, its applications, and its significance can open doors to a myriad of opportunities in technology, business, and beyond.
Introduction to Large Language Models
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Duration: 1 day
π Level: Introductory
π° Price: Free
This course dives into the fascinating world of large language models (LLMs). It elucidates what LLMs are, their potential use cases, and the techniques of prompt tuning to enhance LLM’s capabilities. In addition, participants will discover the array of Google tools available to develop Gen AI apps revolving around large language models.
Key Objectives:
- Define Large Language Models (LLMs).
- Explore LLM Use Cases.
- Understand Prompt Tuning and its applications.
- Get acquainted with Googleβs Gen AI Development tools.
https://www.cloudskillsboost.google/course_templates/539
Mastering the concepts within this course can significantly bolster one’s technical prowess and provide deeper insights into the transformative potential of language models in diverse industries.
Attention Mechanism
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Duration: 1 day
π Level: Intermediate
π° Price: Free
Delve deeper into the mechanics of neural networks with this course centered on the attention mechanism. This robust technique enables neural networks to selectively focus on specific parts of an input sequence, enhancing their performance across varied machine learning tasks such as machine translation, text summarization, and question answering.
Key Objectives:
- Grasp the underlying concept of attention and its operational framework.
- Discover how the attention mechanism refines machine translation processes.
https://www.cloudskillsboost.google/course_templates/537
Engaging with the principles and techniques of attention mechanisms can set learners on a path to developing more efficient and nuanced AI-driven solutions, optimizing various computational tasks.
Transformer Models and BERT Model
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Duration: 1 day
π Level: Introductory
π° Price: Free
Venture into the intricate realm of Transformer architecture and the renowned Bidirectional Encoder Representations from Transformers (BERT) model. This course details the critical components of the Transformer, including the self-attention mechanism, and elaborates on the construction of the BERT model and its diverse applications, spanning text classification, question answering, and natural language inference.
Key Objectives:
- Understand the primary constituents of the Transformer architecture.
- Learn the intricacies of BERT model construction using Transformers.
- Familiarize oneself with the varied NLP tasks addressed by BERT.
https://www.cloudskillsboost.google/course_templates/538
A deep dive into the Transformer and BERT models empowers individuals to harness the full potential of these tools in various computational tasks, driving innovation in the domain of natural language processing.
Introduction to Image Generation
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Duration: 1 day
π Level: Introductory
π° Price: Free
Embark on a journey to understand the nuances of diffusion models, a category of machine learning models that have demonstrated potential in the field of image generation. Originating from the principles of physics, specifically thermodynamics, diffusion models have recently risen to prominence in research and industry settings, forming the foundation for many cutting-edge image generation models and tools available on Google Cloud.
Key Objectives:
- Comprehend the operational mechanics of diffusion models.
- Explore real-world applications of diffusion models.
- Understand advancements in diffusion models, particularly text-to-image applications.
https://www.cloudskillsboost.google/course_templates/541
Immersing oneself in the realm of image generation via diffusion models can equip learners with the capabilities to pioneer groundbreaking visual tools and solutions.
Create Image Captioning Models
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Duration: 1 day
π Level: Intermediate
π° Price: Free
Master the art and science of image captioning in this course, designed to guide participants through the intricacies of creating models that can effectively caption images using deep learning principles. From understanding the different components of an image captioning model to creating and deploying your own, this course provides an all-encompassing perspective.
Key Objectives:
- Understand the diverse components integral to an image captioning model.
- Learn the methodologies to train and evaluate an image captioning model effectively.
- Craft personalized image captioning models.
- Harness the capabilities of your model to generate insightful captions for images.
https://www.cloudskillsboost.google/course_templates/542
Acquiring the skills to create image captioning models can significantly enhance one’s expertise in visual AI tools, fostering innovation in image-based applications.
Encoder-Decoder Architecture
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Duration: 1 day
π Level: Intermediate
π° Price: Free
Navigate the complexities of the encoder-decoder architecture in this enlightening course. Recognized for its prowess in sequence-to-sequence tasks such as machine translation, text summarization, and question answering, this architecture stands as a cornerstone in the machine learning domain. Through hands-on experience, participants will code a simple poetic generation application using the encoder-decoder model in TensorFlow.
Key Objectives:
- Grasp the central components of the encoder-decoder framework.
- Discover the methodology for training and generating text using this architecture.
- Develop hands-on coding expertise, creating your encoder-decoder model in Keras.
https://www.cloudskillsboost.google/course_templates/543
Diving into the encoder-decoder architecture can revolutionize one’s approach to sequential tasks, paving the way for more sophisticated AI-driven solutions.
Introduction to Responsible AI
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Duration: 1 day
π Level: Introductory
π° Price: Free
In an age of rapid AI advancements, ethical considerations become paramount. This course unravels the essence of responsible AI, emphasizing its significance and detailing how Google incorporates responsible AI into its product ecosystem. It offers an in-depth overview of Google’s 7 AI principles, enlightening participants about the balance between innovation and ethics.
Key Objectives:
- Understand the driving factors behind Google’s AI principles.
- Recognize the importance of responsible AI within any organization.
- Understand that decisions made throughout a project can influence the ethical outcome of AI implementations.
- Learn to tailor AI solutions according to organizational values and needs.
https://www.cloudskillsboost.google/course_templates/554
Embracing responsible AI principles not only ensures ethical technology deployment but also enhances an organization’s reputation and trustworthiness in the modern digital landscape.
Introduction to Generative AI Studio
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Duration: 1 day
π Level: Introductory
π° Cost: Free
For all the enthusiasts seeking to delve deeper into the fascinating world of Generative AI, Google presents an invaluable resource: the Generative AI Studio. This cutting-edge tool, a product of Vertex AI, has been meticulously designed to assist users in prototyping and customizing generative AI models. By utilizing these models, one can significantly enhance the capabilities of their applications.
Throughout the duration of this course, participants will gain insights into what the Generative AI Studio encompasses, understand its diverse features and options, and master its use through comprehensive product demos. As a bonus, at the conclusion of the course, there’s an engaging quiz to evaluate and solidify the knowledge acquired.
Objectives:
- Gain a foundational understanding of what the Generative AI Studio offers.
- Familiarize yourself with the diverse options available within Generative AI Studio.
- Dive into the intricacies of the Generative AI Studio language tool.
https://www.cloudskillsboost.google/course_templates/552
By mastering this course, individuals can significantly bolster their understanding of Generative AI and how to effectively harness its power in practical applications.
Generative AI Explorer – Vertex AI
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Duration: 5 hours
π Level: Introductory
π° Price: 3 Credits
Experience the power of Generative AI on Google Cloud through the Generative AI Explorer – Vertex Quest. This collection of labs illuminates the usage of models within the Vertex AI PaLM API family, including text-bison, chat-bison, and text-embedding-gecko. With insights into prompt design, best practices, and diverse applications, participants will harness Gen AI for tasks like ideation, text classification, extraction, summarization, and more.
Key Objectives:
- Gain proficiency in using the Vertex AI PaLM API family.
- Understand prompt design principles and their applications.
- Delve into the potential of foundation model tuning via Vertex AI custom training.
- Deploy refined models to a Vertex AI endpoint seamlessly.
https://www.cloudskillsboost.google/quests/299
Harnessing the capabilities offered by the Generative AI Explorer can propel individuals and organizations to the forefront of AI innovation on Google’s cloud infrastructure, catalyzing unprecedented growth and progress.
With the expansive and comprehensive list of courses offered by Google, there’s never been a better time for budding technologists, entrepreneurs, and digital enthusiasts to embark on a journey into the world of Generative AI. These courses, spanning from the basics to the more complex nuances of AI technologies, are designed to provide individuals with the insights, knowledge, and skills needed to be at the forefront of digital innovation. Moreover, the beauty lies in the accessibility and cost-effectiveness of these courses, most of which are freely available.
While these courses will equip you with a deep understanding of Generative AI, the application and integration of such knowledge into real-world marketing endeavors require a tailored approach. This is where our specialized training programs come into play.
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The world is quickly moving towards a future dominated by AI. It’s not just about understanding the technology but about knowing how to integrate it effectively into our daily operations and strategies. By equipping yourself with Google’s Generative AI courses and further enhancing your skills with SEO International’s specialized training, you position yourself at the forefront of this digital evolution.
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