Master the complete data engineering pipeline from ingestion to analytics. Learn to build scalable data systems using Apache Kafka, Spark, and cloud platforms while integrating cutting-edge generative AI technologies. Apply your skills through hands-on projects that mirror real-world data engineering challenges in modern enterprises.
Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI Specialization
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Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI Specialization
Build Scalable Data Engineering Systems. Learn to design, implement, and optimize data pipelines using industry-standard tools and frameworks
Instructors: Caio Avelino
Included with 
Get in-depth knowledge of a subject
(5 reviews)
Intermediate level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(5 reviews)
Intermediate level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Design and implement scalable data ingestion, processing, and storage systems using Apache Kafka and Spark
Build high-performance data pipelines integrating cloud platforms, databases, and generative AI technologies
Apply data engineering best practices for enterprise-scale analytics, optimization, and real-time processing
Overview
Skills you'll gain
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
August 2025
26 practice exercises
Advance your subject-matter expertise
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Specialization - 8 course series
What you'll learn
Analyse the architecture and components of data pipelines to understand their impact on data flow and processing efficiency.
Implement robust ETL processes, for scalability and maintainability.
Analyze big data challenges and introduce Hadoop ecosystem tools (HDFS, MapReduce, Hive, Pig, and Spark) for data processing tasks.
Skills you'll gain
Extract, Transform, Load, Data Pipelines, Big Data, Apache Hadoop, Data Processing, Apache Spark, Data Analysis, Data Management, Data Integration, Scalability, Data-Driven Decision-Making, Data Transformation, Data Warehousing, and Apache Hive
What you'll learn
Identify and describe the components and importance of data ecosystems.
Understand the basic structure and function of data pipelines.
Recognize the steps involved in ETL workflows and their role in data handling.
Gain an introductory knowledge of big data and the application of Apache Spark.
Skills you'll gain
Apache Spark, Extract, Transform, Load, Data Pipelines, Scalability, Big Data, Data Infrastructure, Data Management, Data Integration, Data Processing, Data Architecture, and Dataflow
What you'll learn
Explain the importance of data warehousing in business intelligence.
Design and implement effective schema designs for data warehouses.
Implement ETL processes to load and transform data into a data warehouse.
Apply performance optimization techniques to enhance data warehouse efficiency.
Skills you'll gain
Snowflake Schema, Star Schema, Data Warehousing, Extract, Transform, Load, Data Integration, Data Transformation, Data Modeling, Data Management, Scalability, Business Intelligence, Database Design, Performance Tuning, and Databases
What you'll learn
Analyze and tune SQL queries to enhance SQL performance and reduce application latency.
Evaluate effective database index and maintenance task strategies to improve efficiency.
Monitor the performance of troubleshooting techniques used for resolving common SQL server issues.
Apply best practices for SQL Server performance to ensure consistent and reliable operations.
Skills you'll gain
Microsoft SQL Servers, Performance Tuning, Network Troubleshooting, Application Performance Management, Database Design, Database Management, SQL, Scalability, Stored Procedure, and System Monitoring
What you'll learn
Show understanding of the fundamentals of cloud architecture, including key components like virtual machines, storage, and networking.
Identify and implement core cloud design patterns such as Load Balancer, Circuit Breaker, and Auto-Scaling to ensure scalability and reliability.
Demonstrate advanced cloud design patterns, including Microservices Architecture, Event-Driven Architecture, and Serverless Computing.
Skills you'll gain
Cloud Computing Architecture, Microservices, Serverless Computing, Load Balancing, Event-Driven Programming, Scalability, Cloud Services, Software Design Patterns, Infrastructure As A Service (IaaS), Cloud Applications, Cloud Computing, Cloud Platforms, Software Architecture, Cloud Security, and Cloud Infrastructure
What you'll learn
Identify the capabilities of GenAI for basic role specific, Data Engineer functions.
Examine real-world applications to leverage GenAI for streamlining work and fostering innovation in Data Engineering functions.
Deploy strategies and tactics to responsibly integrate GenAI into data engineering practices, while maintaining human oversight and accountability.
Skills you'll gain
Generative AI, Data Pipelines, Prompt Engineering, Database Management, Data Modeling, Data Quality, AI Product Strategy, Data Ethics, Data Transformation, Responsible AI, and SQL
What you'll learn
Describe Apache Kafka's architecture and its components, enhancing data pipeline efficiency.
Configure and manage Kafka clusters, ensuring high availability and fault tolerance.
Apply (Create and use) topics, publishers, and subscribers to facilitate real-time data exchange.
Implement basic stream processing applications using Kafka Streams, addressing real-world data challenges.
Skills you'll gain
Scalability, Real Time Data, Apache Kafka, Data Pipelines, Performance Tuning, Data Processing, System Monitoring, and Operational Databases
What you'll learn
Skills you'll gain
Automation, Data Cleansing, Generative AI, Data Quality, Data Transformation, Artificial Intelligence, Tensorflow, Data Validation, Alteryx, OpenAI, Responsible AI, and Data Processing
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
6 Courses6,408 learners
28 Courses48,507 learners
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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Financial aid available,