Data Ingestion Courses and Certifications

Tracking Cryptocurrency Exchange Trades with Google Cloud Platform in Real-Time

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use GCP services to help graph trades, volume, and time delta from trade execution to see any patterns in the high volatility of the cryptocurrency market.

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

AWS Certified Machine Learning - Specialty

Master the complete machine learning lifecycle on AWS, from data engineering to model deployment, preparing you for the specialty certification exam.

• Coursera
• 7 hours 28 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Real-Time, Real Fast: Kafka & Spark for Data Engineers

Master Apache Kafka and Spark to build enterprise-grade streaming systems that process millions of events per second with hands-on projects mirroring Netflix and Uber challenges.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

LearnKartS

Google Analytics Course: Track, Analyze & Grow

Master GA4 setup, tracking, and analysis to transform website data into actionable growth strategies. Build custom reports and dashboards for smarter marketing decisions.

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

Microsoft Fabric: Data Governance, Security, and Analytics

Unlock comprehensive data governance, security, and real-time analytics in Microsoft Fabric with hands-on implementation of Purview, EventStreams, and enterprise security controls.

• Coursera
• 1 day 28 minutes
• Self-Paced
• Paid Course

Whizlabs

Microsoft Fabric: Ingest and Transform Data

Master Microsoft Fabric's data ingestion and transformation capabilities through hands-on training with Eventstreams, KQL, Spark, and Pipelines for scalable analytics workflows.

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

LearnKartS

Kafka Integration with Storm, Spark, Flume, and Security

Learn advanced real-time data processing with Kafka integration, exploring Storm, Spark, and Flume frameworks. Gain skills in data security, performance tuning, and administrative tasks for robust, scalable systems.

• Coursera
• 3 hours 45 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Data Pipeline Engineering & Analytics

Master automated ETL processes, SQL optimization, dimensional modeling, and interactive dashboards while analyzing user behavior to build robust data infrastructure that drives business impact.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 6 courses

Board Infinity

AI Systems Design: RAG Pipelines and LLM Architecture

Master enterprise-grade RAG pipelines and LLM architecture—from problem scoping and data strategy to building end-to-end retrieval-augmented generation prototypes with Streamlit UI.

• Coursera
• 16 hours 55 minutes
• Self-Paced
• Paid Course

Career Certificate

Hadoop and Spark Fundamentals

Master big data analytics with hands-on Hadoop and Spark training, covering HDFS, MapReduce, PySpark, HiveQL, and cluster management using Ambari and Zeppelin interfaces.

• Coursera
• 4 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Real-time analytics with Spark: User Activity Monitoring

Master real-time data processing with Apache Spark Structured Streaming, from configuring micro-batches to deploying production pipelines for monitoring user activity and extracting actionable insights.

• Coursera
• 1 hour 57 minutes
• Self-Paced
• Paid Course

KodeKloud Career Certificate

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/week
• Self-Paced
• Paid Course
• 3 courses

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
• Self-Paced
• Paid Course

Coursera

Azure Data Engineering: Cosmos DB, SQL & Analytics

Master Azure data engineering with Cosmos DB, SQL & Synapse Analytics. Build scalable cloud solutions, optimize queries, and create analytical dashboards in 3+ hours of hands-on learning.

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