Data Ingestion Courses and Certifications

Vertex AI Search for Commerce

Develop skills to design, deploy, and monitor Vertex AI Search for Retail Agent Builder solutions, including retail search and recommendation AI for enterprise customers.

• Coursera
• 5 hours 54 minutes
• On-Demand
• Paid Course

Building Data Lakes and Lakehouses with Microsoft Fabric

Discover how to build enterprise-grade data lakes and lakehouses using Microsoft Fabric, implementing medallion architecture, Delta tables, and comprehensive security controls.

• Coursera
• 23 hours 44 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Paid Course

Whizlabs

Azure ML: Explore & Configure the Machine Learning Workspace

Explore Azure ML workspace configuration, compute management, and data handling to build scalable machine learning solutions and prepare for DP-100 certification.

• Coursera
• 7 hours 1 minute
• On-Demand
• Paid Course

Google BigQuery for Data and ML Engineers

Master BigQuery's serverless architecture, advanced SQL, and ML capabilities to build efficient data pipelines and deploy models for real-world data engineering projects.

• Coursera
• 6 hours 2 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

EDUCBA Microcredential

Hadoop Big Data Analytics & Projects Mastery

Master Hadoop ecosystem through hands-on projects in social media, telecom, healthcare & e-commerce using Hive, Pig & MapReduce for scalable big data analytics solutions.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 5 courses

EDUCBA

Master Real-Time Streaming with Kafka & Spark

Unlock real-time data streaming expertise by building production-style pipelines with Apache Kafka and Spark to analyze trending songs and master streaming architecture.

• Coursera
• 5 hours 18 minutes
• On-Demand
• Paid Course

Enterprise Search on Generative AI App Builder

Master enterprise-grade generative AI search using Google Cloud's App Builder to make scattered internal documentation and customer-facing content easily accessible and searchable.

• Coursera
• 2 hours 28 minutes
• On-Demand
• Paid Course

Getting Started with Splunk Cloud GDI on Google Cloud

Explore the step-by-step process of configuring multiple methods to ingest Google Cloud data into Splunk Cloud GDI through this hands-on lab.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Packt

Splunk Enterprise Administration Fundamentals

Master Splunk Enterprise administration through hands-on learning of installation, data ingestion, parsing optimization, and advanced administrative techniques for enterprise deployments.

• Coursera
• 7 hours 41 minutes
• On-Demand
• Paid Course

EDUCBA

Splunk Administration: Monitor & Optimize Data

Master Splunk's advanced administrative features, deployment servers, data ingestion pipelines, monitoring console, and performance optimization for enterprise environments.

• Coursera
• 17 hours 24 minutes
• On-Demand
• Paid Course

KodeKloud Microcredential

Hands-On MLOps Fundamentals for ML Engineers

Master the complete machine learning lifecycle from data ingestion to production deployment through hands-on projects, gaining job-ready MLOps expertise for scalable ML systems.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses