Приєднатися Увійти

Apply your skills in Google Cloud console

Asad Enver

Учасник із 2024

Бронзова ліга

Кількість балів: 9270
Build a Data Warehouse with BigQuery Earned груд. 14, 2024 EST
Work with Gemini Models in BigQuery Earned лист. 10, 2024 EST
Engineer Data for Predictive Modeling with BigQuery ML Earned жовт. 27, 2024 EDT
Introduction to Large Language Models - Українська Earned жовт. 13, 2024 EDT
Build, Train and Deploy ML Models with Keras on Google Cloud Earned жовт. 13, 2024 EDT
Vector Search and Embeddings Earned жовт. 4, 2024 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Earned вер. 30, 2024 EDT

Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.

Докладніше

This course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.

Докладніше

Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.

Докладніше

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.

Докладніше

This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.

Докладніше

Explore AI-powered search technologies, tools, and applications in this course. Learn semantic search utilizing vector embeddings, hybrid search combining semantic and keyword approaches, and retrieval-augmented generation (RAG) minimizing AI hallucinations as a grounded AI agent. Gain practical experience with Vertex AI Vector Search to build your intelligent search engine.

Докладніше

Complete the intermediate Inspect Rich Documents with Gemini Multimodality and Multimodal RAG skill badge course to demonstrate skills in the following: using multimodal prompts to extract information from text and visual data, generating a video description, and retrieving extra information beyond the video using multimodality with Gemini; building metadata of documents containing text and images, getting all relevant text chunks, and printing citations by using Multimodal Retrieval Augmented Generation (RAG) with Gemini.

Докладніше