vegisetti kasiviswanath
Учасник із 2023
Срібна ліга
Кількість балів: 5179
Build Your First Agent with Agent Development Kit (ADK)
Earned трав. 25, 2026 EDT
[Deprecated] AI Boost Bites: Your Personal AI Study Partner
Earned трав. 11, 2026 EDT
[DEPRECATED] AI Boost Bites: Intro to NotebookLM
Earned трав. 11, 2026 EDT
Build Agents with Agent Development Kit (ADK)
Earned трав. 9, 2026 EDT
Google DeepMind: 01 Build Your Own Small Language Model
Earned квіт. 5, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned бер. 1, 2026 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned бер. 1, 2026 EST
How to Use TPUs for Inference
Earned січ. 17, 2026 EST
Architecting an AI Inference Stack
Earned груд. 18, 2025 EST
AI Boost Bites: Your Personal Feedback Agent
Earned груд. 2, 2025 EST
Introduction to Responsible AI - Українська
Earned груд. 2, 2025 EST
Introduction to Large Language Models - Українська
Earned груд. 2, 2025 EST
Introduction to Generative AI - Українська
Earned груд. 2, 2025 EST
Turn your understanding of agents into practical reality by building, configuring, and running your first AI agent using Google’s Agent Development Kit (ADK).
In this hands-on course, you’ll set up a complete ADK development environment, create agents with both Python code and YAML configuration, and run them through multiple interfaces. You’ll also learn the core parameters that define agent behavior, taking what you learned in course 1 and applying it to working code.
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In this video, you'll learn to use NotebookLM as your personal AI study partner. Master the art of converting dense documentation into smart study guides, flashcards, and quizzes to ramp up quickly on new policies and industry research.
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This video covers how to use NotebookLM as a personal research
assistant by adding sources, asking questions, and generating new content
formats based on your documents.
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Learn about how you can use Agent Development Kit (ADK) to build complex, production-ready AI agents. This course covers ADK’s open-source framework, moving from simple prompt engineering to a code-first, structured software development approach suitable for enterprise-grade, multi-agent systems. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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In this Google DeepMind course, you will learn the fundamentals of language models and gain a high-level understanding of the machine learning development pipeline. You will consider the strengths and limitations of traditional n-gram models and advanced transformer models. Practical coding labs will enable you to develop insights into how machine learning models work and how they can be used to generate text and identify patterns in language. Through real-world case studies, you will build an understanding around how research engineers operate. Drawing on these insights you will identify problems that you wish to tackle in your own community and consider how to leverage the power of machine learning responsibly to address these problems within a global and local context.
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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, and exploring how Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.
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This course is for developers interested in learning how to use TPUs for inference—from architecture to deployment, and how to solve common implementation challenges.
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This course is designed for developers looking to build an optimized AI inference stack on Google Cloud. Whether you’re working with GPUs or TPUs, you’ll explore the fundamental components of an inference stack, learn design principles for maximizing performance and reliability, and explore practical techniques to take your workloads from 0 to 1.
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This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.
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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке відповідальне використання штучного інтелекту, чому воно важливе і як компанія Google реалізує його у своїх продуктах. Крім того, у цьому курсі викладено 7 принципів Google щодо штучного інтелекту.
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У цьому ознайомлювальному курсі мікронавчання ви дізнаєтеся, що таке великі мовні моделі, де вони використовуються і як підвищити їх ефективність коригуванням запитів. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучного інтелекту.
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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке генеративний штучний інтелект, як він використовується й чим відрізняється від традиційних методів машинного навчання. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучногоінтелекту.
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