Google DeepMind: 02 Represent Your Language Data
Earned mars 21, 2026 EDT
Create Your First Gemini Enterprise Application
Earned mars 16, 2026 EDT
Enterprise Agents and Use Cases
Earned mars 16, 2026 EDT
Agent Fundamentals
Earned mars 15, 2026 EDT
Google DeepMind: Train A Small Language Model
Earned mars 14, 2026 EDT
Introduction to AI Agents
Earned mars 12, 2026 EDT
Google DeepMind: 01 Build Your Own Small Language Model
Earned mars 10, 2026 EDT
In this Google DeepMind course you will learn how to prepare text data for language models to process. You will investigate the tools and techniques used to prepare, structure, and represent text data for language models, with a focus on tokenization and embeddings. You will be encouraged to think critically about the decisions behind data preparation, and what biases within the data may be introduced into models. You will analyze trade-offs, learn how to work with vectors and matrices, how meaning is represented in language models. Finally, you will practice designing a dataset ethically using the Data Cards process, ensuring transparency, accountability, and respect for community values in AI development.
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Create your first Gemini Enterprise application to earn a skill badge! Connect diverse data sources to your application to build a powerful, unified search and analysis engine. Master advanced capabilities like deep research agents, multi-agent ideation, and NotebookLM for focused analysis.
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Discover how AI agents drive business impact. You’ll map agent types to your KPIs and explore use cases that solve real bottlenecks. Then, learn how Gemini Enterprise empowers you to build and orchestrate the right agents—from no-code to high-code solutions.
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AI Agents represent a major shift beyond traditional large language models (LLMs): instead of simply generating text-based solutions, they can also act autonomously to execute them.
This course introduces the fundamentals of AI Agents, how they differ from LLM APIs, and where they add value in the real world. Based on Google’s agents whitepaper, it provides the theoretical foundation needed before writing your first lines of agent code—ideal for developers, architects, and technical decision-makers who want to understand AI systems through the lens of autonomous, goal-directed behavior (and not just text generation).
Join the community forum for questions and discussions.
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Complete the advanced Google DeepMind: Train A Small Language Model skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model. Access this lab at no-cost by signing up for the no-cost subscription. Receive 35 free credits each month!
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Gain a conceptual overview of AI Agents. Discover how AI Agents use autonomous action and reasoning to solve complex problems. You’ll explore the technical architecture—models, tools, and orchestration—that enables agents to learn, plan, and achieve goals on your behalf.
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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.
Google DeepMind: 02 Represent Your Language Data
Earned mars 21, 2026 EDT
Create Your First Gemini Enterprise Application
Earned mars 16, 2026 EDT
Enterprise Agents and Use Cases
Earned mars 16, 2026 EDT
Agent Fundamentals
Earned mars 15, 2026 EDT
Google DeepMind: Train A Small Language Model
Earned mars 14, 2026 EDT
Introduction to AI Agents
Earned mars 12, 2026 EDT
Google DeepMind: 01 Build Your Own Small Language Model
Earned mars 10, 2026 EDT