Biomedical Engineering Courses

Introduction to Data Engineering on Google Cloud

Explore data engineering on Google Cloud, covering roles, challenges, and solutions. Learn about data pipelines, replication, migration, and automation techniques using various Google Cloud services.

• Coursera
• 9 hours 24 minutes
• Self-Paced
• Paid Course

Introduction to Data Engineering on Google Cloud - Bahasa Indonesia

Delve into data engineering fundamentals on Google Cloud, covering data management, pipeline patterns, automation techniques, and essential tools for handling enterprise-scale data processing in Indonesian.

• Coursera
• 9 hours 34 minutes
• Self-Paced
• Paid Course

Introduction to Data Engineering on Google Cloud - 简体中文

Dive into Google Cloud 数据工程的基础知识，掌握数据处理工具和服务，包括BigQuery、Dataproc和Cloud Composer，以构建和自动化数据管道。

• Coursera
• 9 hours 4 minutes
• Self-Paced
• Paid Course

Introduction to Data Engineering on Google Cloud - 繁體中文

Discover Google Cloud 資料工程的基礎知識，從資料擷取、複製到轉換，掌握 BigQuery、Dataproc 等工具的應用，建立自動化資料管線，實現企業數據價值。

• Coursera
• 8 hours 44 minutes
• Self-Paced
• Paid Course

Introduction to Data Engineering on Google Cloud - 한국어

Dive into Google Cloud의 데이터 엔지니어링 기초, 데이터 파이프라인 패턴, 자동화 기법을 배우고 실제 데이터 엔지니어링 과제를 해결하는 방법을 습득하세요.

• Coursera
• 9 hours 14 minutes
• Self-Paced
• Paid Course

Introduction to Data Engineering on Google Cloud - Français

Découvrez l'ingénierie des données sur Google Cloud, des fondamentaux aux pipelines ETL/ELT, en passant par la migration, la réplication et l'automatisation des données pour une gestion efficace des projets data.

• Coursera
• 9 hours 14 minutes
• Self-Paced
• Paid Course

Introduction to Data Engineering on Google Cloud - Español

Descubre los fundamentos de la ingeniería de datos en la nube, desde la gestión y migración de datos hasta la automatización de canalizaciones, utilizando herramientas especializadas de Google Cloud.

• Coursera
• 9 hours 4 minutes
• Self-Paced
• Paid Course

Azure Synapse Apache Spark Pools: Data engineering

Master Apache Spark in Azure Synapse Analytics for data engineering, including Delta Lake for ACID transactions, data transformation techniques, and visualization using SQL, notebooks, and Python libraries.

• edX
• 1 week, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

Generative AI for Data Engineering

Gain insights into generative AI for data engineering, exploring models, prompt engineering techniques, and practical applications to enhance ETL pipelines and boost productivity in this IBM program.

• edX
• 10 weeks, 1-3 hours/week
• Self-Paced
• $147.00
• 2 courses

Introduction to Data Engineering on Google Cloud - Português Brasileiro

Explore técnicas avançadas de engenharia de dados no Google Cloud, desde replicação e migração até automação de pipelines, com foco em ETL, ELT e gerenciamento eficiente de dados.

• Coursera
• 9 hours 34 minutes
• Self-Paced
• Paid Course

Introduction to Data Engineering on Google Cloud - 日本語版

Discover Google Cloud データエンジニアリングの基礎から、データの抽出、変換、読み込みまでの実践的なスキルを習得し、効率的なデータパイプラインの構築方法を学習。

• Coursera
• 8 hours 49 minutes
• Self-Paced
• Paid Course

Packt

Prompt Engineering in Python, with GPT, and the OpenAI API

Master prompt engineering with Python and OpenAI API to build chatbots, extract data, and optimize GPT model performance through hands-on practice in iterative design, hallucination mitigation, and structured information extraction.

• Coursera
• 4 hours 58 minutes
• Self-Paced
• Paid Course

KodeKloud

Chaos Engineering

Master chaos engineering principles and hands-on AWS fault injection techniques to build resilient systems across EC2, Aurora, Fargate, EKS, and multiple availability zones.

• Coursera
• 5 hours 18 minutes
• Self-Paced
• Paid Course

Whizlabs

NVIDIA: Prompt Engineering and Data Analysis

Master prompt engineering and data analysis techniques for LLMs using NVIDIA tools, from crafting effective prompts to implementing RAG architecture and accelerated data visualization workflows.

• Coursera
• 3 hours 8 minutes
• Self-Paced
• Paid Course

Prompt Engineering for Vision Models

Master prompt engineering techniques for vision models including SAM, OWL-ViT, and Stable Diffusion through hands-on image generation, segmentation, and object detection tasks.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course