Big Data Courses

The Professional Certificate in Data Science and Generative AI, offered by Purdue University Online, provides a comprehensive curriculum for mastering data science, machine learning, and Generative AI. Combining theoretical learning with practical application, participants gain expertise in programming, data management, applied data science with Python, machine learning, deep learning, and generative AI techniques.

Accelerate your career with Purdue University Online’s Professional Certificate Program in Data Engineering. This program blends theory, case studies, and extensive hands-on practice to deliver a comprehensive data engineering education. Aligned with DP-203 Azure Data Engineer Associate, AWS Certified Data Engineer – Associate, and SnowPro® Core Certification, it equips you to pursue these industry-recognized credentials.

The AI+ Robotics Certification provides an immersive exploration of the intersection between Artificial Intelligence (AI) and Robotics. Tailored for professionals aiming to excel in this field, it covers foundational concepts, advanced Deep Learning (DL), and Reinforcement Learning (RL) techniques applied specifically to robotics.

The AI+ Quantum Certification offers a comprehensive exploration of the convergence between Artificial Intelligence (AI) and Quantum Computing. Tailored for professionals seeking expertise in this cutting-edge field, the program covers fundamental concepts, advanced techniques, and the ethical aspects of AI-Quantum integration. Learners will study Quantum Computing Gates, Circuits, and Algorithms, emphasizing their applications in AI.

Data Engineer Bootcamp equips you with the skills to work confidently with raw data. You'll gain hands-on experience across a wide range of key data engineering areas, including data warehousing, Linux, Python, SQL, Hadoop, MongoDB, Big Data processing and security, AWS, and more. You’ll also learn to design and build databases, extract and interpret data, and develop effective data models. By the end of the program, you'll be prepared to tackle complex real-world challenges as a professional Data Engineer. Handle Data Like a Pro: Optimize, Analyze, and Deliver Insights. Build High-Demand Skills & Launch Your Career as a Data Engineer

This course is designed to help you prepare for Microsoft’s Azure Data Engineer Associate (DP-203) exam. It provides in-depth training on implementing and managing data engineering workloads in Microsoft Azure, utilizing key services such as Azure Synapse Analytics, Azure Stream Analytics, Azure Databricks, and more.

The AIOps Foundation® is a two-day training course designed to cover the roots of AIOps. Learners will gain insight into processes that combine big data analytics, machine learning algorithms, automation and optimization into a single platform. The AIOps Foundation course will equip learners to successfully complete the AIOps Foundation certification exam.

AVC's Kafka certification enables you to learn how to efficiently process large volumes of data using a variety of tools. This training will help you enhance your Big Data analytics expertise. With our blended learning approach, you'll master the fundamentals of Apache Kafka while exploring its practical applications. Dive into a cutting-edge curriculum crafted by industry experts and gain the job-ready skills needed to excel as a Kafka developer.

This Power BI training course will help you get the most out of Microsoft’s Power BI, a suite of tools that lets you build interactive dashboards for analyzing data and extracting business insights. This course will help you master the development of dashboards from published reports, discover greater insights from your data with Quick Insights, and learn practical applications for Power BI tasks, such as gathering and analyzing data. You will also learn valuable Power BI troubleshooting tips.

This Big Data Engineer Bootcamp, in collaboration with IBM, provides training on the competitive skills required for a rewarding career in data engineering. You’ll learn to master the Hadoop extensive data framework, leverage the functionality of Apache Spark with Python, simplify data lines with Apache Kafka, and use the open-source database management tool MongoDB to store data in big data environments.

The Big Data Hadoop and Spark Developer Course is designed to provide you with an in-depth understanding of Apache Spark fundamentals and the Hadoop framework, equipping you with the skills needed to excel as a Big Data Developer. Through this program, you will gain hands-on knowledge of the Hadoop ecosystem and its integration with Spark, enabling you to process and analyze massive datasets efficiently. Learn how the multiple components of Hadoop, such as HDFS and MapReduce, fit seamlessly into the big data processing cycle, preparing you for success in today's data-driven world.

This course will teach you about data replication with MongoDB and gain insights about installing, updating, and maintaining the MongoDB environment. With this training course, you can become an expert developer by gaining comprehensive knowledge of NoSQL, data modeling, ingestion, query, shading, and data replication.