Data Ingestion Courses and Certifications

Amazon Connect: Creating & Managing Amazon Connect Instances

Learn to create and manage scalable cloud contact centers with Amazon Connect, covering setup, customization, and implementation for efficient customer service operations.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Packt

Computer Vision: Face Recognition Quick Starter in Python

Learn face recognition in Python, from setup to advanced topics like facial expression, age, and gender detection. Implement real-time face detection, recognition, and makeup using libraries like OpenCV.

• Coursera
• 7 hours 41 minutes
• Self-Paced
• Paid Course

BigQuery Fundamentals for Oracle Professionals

Learn BigQuery fundamentals, architecture, data modeling, security, ingestion, schema optimization, and SQL querying, with comparisons to Oracle for easy transition to Google Cloud's data warehouse solution.

• Coursera
• 5 hours 47 minutes
• Self-Paced
• Paid Course

Packt

Streaming Big Data with Spark Streaming, Scala, and Spark 3!

Master real-time big data processing with Spark Streaming and Scala. Develop skills in RDDs, windowing, fault tolerance, and integration with external systems. Apply advanced techniques like stateful processing and machine learning.

• Coursera
• 8 hours 51 minutes
• Self-Paced
• Paid Course

Introduction to Google Security Operations (SIEM)

Explore Google SecOps SIEM from setup to advanced detection engineering, mastering data ingestion, UDM analytics, YARA-L rules, dashboards, and investigation workflows for real-world security operations.

• Coursera
• 6 hours 23 minutes
• Self-Paced
• Paid Course

Whizlabs

Azure ML: Deploying, Managing, and Experimenting with Models

Master Azure ML model deployment, management, and experimentation with MLOps best practices, AutoML, and Responsible AI implementation for scalable machine learning workflows.

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

Building Realtime Pipelines in Cloud Data Fusion

Learn to create real-time event processing pipelines using Data Fusion and Apache Spark Streaming on Cloud Dataproc, enabling efficient handling of streaming data in Google Cloud.

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

Real-Time Big Data Access using HBase: Boosting Performance

Explore HBase for real-time big data processing, covering fundamentals, schema design, querying, and deployment strategies. Gain hands-on experience in optimizing performance and scalability.

• Coursera
• 20 hours 15 minutes
• Self-Paced
• Paid Course

EDUCBA

Apache Spark with Scala: Master Data Building & Analysis

Master Apache Spark with Scala to build scalable big data applications, implement real-time streaming, and create fault-tolerant data pipelines for analytics roles.

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

AI Infrastructure: Networking Techniques

Master Google Cloud's high-bandwidth, low-latency networking to optimize AI workloads from data ingestion through training to inference, maximizing computational performance.

• Coursera
• 3 hours 56 minutes
• Self-Paced
• Paid Course

Loading Your Own Data into BigQuery

This is a self-paced lab that takes place in the Google Cloud console. This lab teaches you how to ingest data from a CSV file into tables in BigQuery.

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

Ingesting New Datasets into BigQuery

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to ingest new datasets into tables inside of BigQuery.

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

AWS Machine Learning Engineer Associate Exam Prep

Prepare for the AWS Certified Machine Learning Engineer – Associate exam by mastering ML workflows, data preparation, model deployment, SageMaker, MLOps, and GenAI services on AWS.

• Coursera
• 31 hours
• Self-Paced
• Paid Course

Packt

Real Time Analytics with SAP Hana

Unlock SAP HANA's in-memory computing power for high-speed data analysis, modeling, and real-time business intelligence with hands-on enterprise scenarios.

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

Automating your BigQuery Data Pipeline with Cloud Dataprep

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will examine how Dataprep can be used on complicated data structures in BigQuery.

• Coursera
• 1 hour 20 minutes
• Self-Paced
• Paid Course