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
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
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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
Apache Hadoop, Data Pipelines, Big Data, Extract, Transform, Load, Data Transformation, Data Quality, Data Analysis, Data Warehousing, Apache Spark, Strategic Decision-Making, Scalability, Data Integration, Data Migration, Data Processing, Apache Hive, Data Management, Business Analytics, and Data Strategy
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, Data Pipelines, Extract, Transform, Load, Data Processing, Data Management, Data Integration, Big Data, Data Warehousing, and Scalability
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
Data Warehousing, Extract, Transform, Load, Snowflake Schema, Star Schema, Database Design, Data Integration, Databases, Scalability, Data Modeling, Business Intelligence, Data Transformation, Performance Tuning, and Data Management
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
Performance Tuning, Microsoft SQL Servers, SQL, Stored Procedure, Application Performance Management, Scalability, Database Design, System Monitoring, Database Management, and Network Troubleshooting
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
Serverless Computing, Microservices, Load Balancing, Cloud Computing Architecture, Cloud Platforms, Scalability, Cloud Computing, Cloud Services, Cloud Security, Event-Driven Programming, Software Design Patterns, Cloud Applications, Software Architecture, Infrastructure As A Service (IaaS), 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 Ethics, Data Quality, Data Pipelines, Responsible AI, Database Management, Data Transformation, AI Product Strategy, Data Modeling, SQL, and Prompt Engineering
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, Operational Databases, Data Pipelines, System Monitoring, Performance Tuning, and Data Processing
What you'll learn
Skills you'll gain
Generative AI, Data Quality, Automation, Data Cleansing, Tensorflow, Responsible AI, Data Validation, OpenAI, Artificial Intelligence, Data Processing, Alteryx, and Data Transformation
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Instructors
6 Courses6,352 learners
28 Courses48,148 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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