Editorial illustration for Kaggle and Google Offer Free 5-Day Gen AI Course with Gemini Fine‑Tuning Lab
Kaggle & Google Launch Free Gen AI Training Course
Kaggle and Google Offer Free 5-Day Gen AI Course with Gemini Fine‑Tuning Lab
Kaggle and Google have teamed up to roll out a free, five‑day curriculum that walks learners through the nuts and bolts of generative AI. Over the week, participants will navigate a mix of video lessons, quizzes and code notebooks, all hosted on Kaggle’s platform. The schedule is designed for people who already know the basics of large‑language models but need concrete experience building applications that go beyond generic outputs.
By the end of the program, attendees will have touched on data ingestion, prompt engineering and model evaluation. What sets this offering apart is its focus on real‑world scenarios—students will see how to pull in external information sources and tailor a pre‑trained system to a specific problem. As more firms look to move away from one‑size‑fits‑all AI services, the ability to adapt a foundation model with labeled examples becomes a practical necessity.
The practical exercises include grounding models with Google Search data and fine‑tuning a Gemini model for a custom task. This lab is particularly useful as it demonstrates how to adapt a foundation model using labeled data — a skill that is increasingly relevant as organizations move toward bespo
The practical exercises include grounding models with Google Search data and fine-tuning a Gemini model for a custom task. This lab is particularly useful as it demonstrates how to adapt a foundation model using labeled data -- a skill that is increasingly relevant as organizations move toward bespoke AI solutions. // Day 5: Mastering Machine Learning Operations for Generative Artificial Intelligence The final day covers the deployment and maintenance of GenAI in production environments.
You will learn how traditional MLOps practices are adapted for GenAI workloads. The course also demonstrates Vertex AI tools for managing foundation models and applications at scale.
The five‑day program ends with a hands‑on lab that asks participants to fine‑tune a Gemini model on a custom dataset. Does the brief format allow enough depth to master the covered topics? While the curriculum spans foundational models, embeddings, AI agents, domain‑specific LLMs and MLOps, each day is packed with whitepapers, code labs and live expert sessions, leaving little room for leisurely review.
Participants will have grounded a model with Google Search data, a concrete skill that many organizations are already seeking. Yet it's unclear how well a single week of intensive instruction translates into long‑term proficiency or whether learners can replicate the results without continued support. The collaboration between Kaggle and Google does offer more than a surface‑level certificate, but the true value will depend on individual commitment and the relevance of the lab exercises to real‑world projects.
In short, the course provides a structured glimpse into current generative‑AI practices, though its lasting impact remains to be measured.
Further Reading
Related Reading
Browse all Google news →
LLMs & Generative AI Ant Group unveils Ring-1T, first open-source trillion-parameter reasoning model
LLMs & Generative AI ChatGPT Health Event Shows AI Modernizing Dev Workflows, GitLab Unveils Plans
LLMs & Generative AI Gen AI app sessions up fivefold, downloads jump 778% as ChatGPT leads traffic
Related Topic Google AI Advisors Let Users Probe Performance with Conversational “Why” Queries
Research & Benchmarks
Related Topic Game stocks slide as Google launches AI world‑gen tool, Project Genie limits noted
Market Trends
From Archives How Retrieval-Augmented Generation Uses Query Vectors to Find Similar Docs
From Archives Zhipu AI's GLM-5.1 optimizes code over hundreds of rounds, thousands of tool calls
From Archives Google lets users create up to 8‑second deepfake clips with custom avatars
AI Tools & Apps
From Archives Google AI Overviews answers 91% of test questions correctly after Gemini 3 update
Research & Benchmarks
Common Questions Answered
What specific skills will participants learn during the 5-day Kaggle and Google generative AI course?
Participants will learn how to ground models with Google Search data and fine-tune a Gemini model for custom tasks. The course covers foundational models, embeddings, AI agents, domain-specific large language models, and machine learning operations for generative AI.
How does the course help learners develop practical generative AI skills?
The curriculum provides hands-on code notebooks, practical exercises, and live expert sessions that allow participants to move beyond generic AI outputs. By the end of the program, attendees will have concrete experience adapting foundation models using labeled data and understanding production deployment techniques.
Who is the ideal target audience for this Kaggle and Google generative AI course?
The course is designed for learners who already understand the basics of large language models and want to gain practical experience building specialized AI applications. Participants should have foundational knowledge and be interested in learning advanced skills like model fine-tuning and MLOps.