Complete Learning Path – Data Engineering, Performance Tuning and Generative AI
Master Data Engineering, Apache Spark Performance Tuning, and Generative AI for Data Engineers
Master Data Engineering, Performance Tuning and Generative AI – All in One Path!
This comprehensive, high-quality learning path is designed for professionals looking to master end-to-end data engineering, performance tuning, and GenAI integration. Learn to build and manage scalable data pipelines, optimize Apache Spark and Databricks for peak efficiency, and leverage GenAI-driven analytics to enhance data workflows.
It covers SQL, Apache Spark, Databricks, Structured Streaming, and advanced performance tuning, ensuring you stay ahead in the ever-evolving data landscape. Through expert-led training, hands-on projects, and real-world case studies, you’ll gain practical experience to tackle complex data challenges with confidence.
By the end of this program, you’ll be fully equipped to independently handle large-scale data pipelines, crack modern data engineering interviews, and earn industry-recognized certifications like Databricks Certified Data Engineer Associate & Professional—boosting your career to the next level.
Master SQL Essentials – Build a strong foundation in SQL queries, database design, and optimization techniques essential for large-scale data processing.
Python for Data Engineering – Learn Python fundamentals, execute a capstone project, and become ready to work with PySpark.
PySpark from Beginner to Advanced – Gain hands-on experience in Spark transformations, optimizations, and data processing, and complete a capstone project.
Real-Time Stream Processing – Learn how to design and implement real-time data pipelines and apply your skills to build scalable, real-time stream processing solutions.
Performance Tuning & Optimization – Master Spark performance tuning, best practices, and troubleshooting techniques to handle large-scale data workloads efficiently.
Generative AI – Learn how to integrate GenAI models into data workflows, automate data analysis, and enhance decision-making with AI-powered insights.
Recommended to take the courses in following order
SQL Essentials → Python Programming → Mastering PySpark → Stream Processing → Databricks Cloud → Performance Tuning → Generative AI for Data Engineers
You can ask questions for any course in the support community
Learn SQL programming, fundamentals, and concepts with hands-on practice, exercises, and micro-projects.
Learn Python programming language. Hands-on learning with Capstone project. Just enough Python for Spark developers.
Master Spark programming in Python (PySpark) from beginner to advanced. Hands-on learning and Capstone project.
Master Apache Spark Structured Streaming and incremental data processing. Scenario based learning and Capstone project.
Master Azure Databricks Cloud platform capabilities and Lakehouse architecture. Micro-projects and Capstone project.
Unlock the full potential of Apache Spark with Performance Tuning and Optimization. Learn 50+ scenarios on TB data volume.
Course access is valid for up to three years, unless specified otherwise. We also offer shorter plans starting from one year to suit different learning needs. Access is strictly for personal use, and any misuse may result in restrictions as per our terms.
Yes, we offer a refund within 7 days of purchase or before completing 10% of any course material, whichever comes first. Refunds are processed after deducting a 6% payment processing fee.
We provide a dedicated Support Community where you can ask questions, and our expert team responds with detailed answers within 24 to 48 hours, excluding weekends and holidays. For critical blocker issues that cannot be resolved through the community, we offer one-on-one technical support to ensure a seamless learning experience.
Get in touch with your course coordinator to learn more about the course, instructor-led course options, discount offers, course bundles, and additional payment methods.
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Curated learning path for mastering big data engineering using Spark and Azure Databricks. Hands-on and Capstone projects.
Boost your data engineering expertise with the Master Pack! Learn to optimize Apache Spark performance, reduce processing time, and minimize infrastructure costs. Plus, master GenAI to automate data analysis and unlock smarter insights.
Unlock the full potential of Apache Spark with Performance Tuning and Optimization. Learn 50+ scenarios on TB data volume.