Big Data Engineering Bootcamp with GCP, and Azure Cloud
What you'll learn
- Learn Hadoop, Spark, and Kafka from scratch, understanding the 3Vs (Volume, Velocity, Variety) and their real-world applications.
- Master ETL workflows, data ingestion, transformation, and storage using Apache Spark, Airflow,Kafka, and distributed systems.
- Deploy & manage Big Data solutions on Azure, and GCP
- Work on real-world Big Data projects, implementing scalable architectures, data pipelines, and analytics using industry tools.
Requirements
- Basic Computer Knowledge – No prior experience in Big Data is needed, but familiarity with using a computer and basic software is helpful.
- Basic Python or SQL (Optional) – While not mandatory, having a basic understanding of Python or SQL can make learning data processing easier.
- Willingness to Learn – A strong motivation to explore Big Data technologies and work with large-scale data solutions is essential.
- A Laptop with Internet Access – Any system (Windows/Mac/Linux) with at least 8GB RAM is recommended for running Big Data tools locally or on the cloud.
Description
Course Description
In today’s data-driven world, organizations are dealing with massive amounts of data generated every second. Big Data technologies have become essential for efficiently processing, storing, and analyzing this data to drive business insights. Whether you are a beginner, fresher, or an experienced professional looking to transition into Big Data Engineering, this course is designed to take you from zero to expert level with real-world, end-to-end projects.
This comprehensive Big Data Bootcamp will help you master the most in-demand technologies like Hadoop, Apache Spark, Kafka, Flink, and cloud platforms like AWS, Azure, and GCP. You will learn how to build scalable data pipelines, perform batch and real-time data processing, and work with distributed computing frameworks.
We will start from the basics, explaining the fundamental concepts of Big Data and its ecosystem, and gradually move toward advanced topics, ensuring you gain practical experience through hands-on projects.
What You Will Learn?
Big Data Foundations – Understand the 3Vs (Volume, Velocity, Variety) and how Big Data technologies solve real-world problems.
Data Engineering & Pipelines – Learn how to design ETL workflows, ingest data from multiple sources, transform it, and store it efficiently.
Big Data Processing – Gain expertise in batch processing with Apache Spark and real-time streaming with Kafka and Flink.
Cloud-Based Big Data Solutions – Deploy and manage Big Data solutions on Azure, and GCP using services
End-to-End Projects – Work on industry-relevant projects, implementing scalable architectures, data pipelines, and analytics.
Performance Optimization – Understand best practices for optimizing Big Data workflows for efficiency and scalability.
Who is This Course For?
Beginners & Freshers – No prior experience needed. Start your journey in Big Data Engineering from scratch.
Software Developers – Expand your skills into Big Data technologies like Hadoop, Spark, and Kafka.
Data Analysts & Scientists – Work with large datasets, ETL pipelines, and real-time processing.
Cloud & DevOps Engineers – Learn how to deploy and manage Big Data applications in cloud environments.
IT Professionals – Transition into Big Data Engineering with hands-on experience and industry-relevant projects.
Prerequisites
Basic Computer Knowledge – No prior Big Data experience required.
Python or SQL (Optional) – Helps but is not mandatory.
Laptop with 8GB RAM & Internet Access – To run Big Data tools locally or on the cloud.
By the end of this course, you will be job-ready, equipped with practical skills, and confident in working with Big Data technologies used by top companies worldwide.
Enroll now and take your career to the next level with Big Data.
Who this course is for:
- Beginners & Freshers – Anyone new to Big Data who wants to start their career in data engineering, data science, or cloud computing.
- Software Developers – Developers looking to expand their skills into Big Data frameworks like Hadoop, Spark, and Kafka for scalable applications.
- Data Analysts & Data Scientists – Professionals who want to work with large datasets, ETL pipelines, and real-time processing in Big Data environments.
- Cloud & DevOps Engineers – Engineers who want to learn how to deploy and manage Big Data solutions on Azure, and GCP.
- Experienced Professionals – IT professionals looking to transition into Big Data Engineering and work on real-world projects with cutting-edge tools.
Instructors
- 4.6 Instructor Rating
- 40,890 Reviews
- 210,068 Students
- 10 Courses
I am the Ex Co-founder and Chief AI Engineer of iNeuron and my experience is pioneering in machine learning, deep learning, and computer vision,Generative AI,an educator, and a mentor, with over 15 years' experience in the industry. These are my Udemy Courses where I explain various topics on machine learning, deep learning, and AI with many real-world problem scenarios. I have delivered over 30+ tech talks on data science, machine learning, and AI at various meet-ups, technical institutions, and community-arranged forums. My main aim is to make everyone familiar of ML and AI.
- 4.6 Instructor Rating
- 3,489 Reviews
- 112,248 Students
- 2 Courses
About Me
I’m Mayank Aggarwal, a Senior Machine Learning Engineer with expertise in Software Development, AI, Big Data, Machine Learning, and System Design. I’ve had the opportunity to work with top companies like Goldman Sachs, OYO, and iNeuron, where I contributed to developing AI-driven solutions and scalable data systems in real-world applications.
With years of industry experience, I’m passionate about teaching and mentoring. I have designed and delivered hands-on courses on platforms like Udemy and YouTube, reaching over 50,000 students. My teaching approach focuses on breaking down complex topics in Data Science, Machine Learning, and Big Data to make them accessible and actionable for everyone.
I aim to help learners gain practical, industry-ready skills by focusing on real-world problem-solving, making AI, DSA, and Big Data easy to understand and implement.
- 4.6 Instructor Rating
- 41,364 Reviews
- 213,413 Students
- 13 Courses
Krish AI Technologies is at the forefront of education in the fields of Data Science, Machine Learning, Generative AI, Deep Learning, and related technologies. Founded by industry veteran Krish Naik, who has over 13 years of experience in the data analytics industry and more than 7 years of teaching expertise, our mission is to equip learners with the skills and knowledge required to excel in the rapidly evolving tech landscape.
Our Expertise: At Krish AI Technologies, we specialize in a comprehensive range of subjects within the realm of artificial intelligence and data science, including:
Data Science: From foundational concepts to advanced techniques, we cover all aspects of data analysis, statistical modeling, and data visualization.
Machine Learning: Our curriculum spans the full spectrum of machine learning algorithms, including supervised and unsupervised learning, clustering techniques, and advanced predictive modeling.
Generative AI: We provide in-depth training on the latest generative AI models and techniques, helping students understand and implement cutting-edge technologies.
Deep Learning: Our courses delve into the mathematical intuition and practical applications of deep learning, covering neural networks, CNNs, RNNs, and more.
Natural Language Processing (NLP): We offer comprehensive training in NLP, including text preprocessing, sentiment analysis, language modeling, and various NLP projects.