Attribute

Detail

Format

Online (e-LMS)

Level

Advanced

Duration

4 Weeks

Certification

e-Certification + e-Marksheet

Tools

Apache Hadoop, HDFS, MapReduce, YARN, TensorFlow, PyTorch

About the Apache Hadoop Course

This program explores how Apache Hadoop's robust ecosystem can be utilized to support advanced AI functionalities, focusing on the integration of big data technologies with AI tools to enhance data processing and analysis capabilities.

Program Highlights

• Comprehensive coverage of Apache Hadoop Basics from fundamentals to advanced applications

• Hands-on projects and real-world case studies in Big Data

• Expert-curated curriculum aligned with current industry standards

• Access to recorded lectures and e-LMS platform for flexible, self-paced learning

• e-Certification and e-Marksheet upon successful completion

• Dedicated mentor support and interactive doubt-clearing sessions

• Practical experience with tools: Apache Hadoop, HDFS, MapReduce, YARN

• Career-oriented training for academic and professional growth in Big Data

Course Curriculum

Module 1: Module 1 – Introduction to Hadoop and AI

Understand the fundamentals of Hadoop and its core components
Explore AI concepts and their synergy with Hadoop
Identify use‑cases where big data fuels intelligent solutions

Module 2: Module 2 – Setting Up Hadoop for AI

Install and configure Hadoop clusters on cloud or on‑premise
Integrate popular AI libraries (TensorFlow, PyTorch) with Hadoop
Validate the environment with sample AI workloads

Module 3: Module 3 – Data Management in Hadoop

Store massive datasets efficiently using HDFS
Process data at scale with MapReduce jobs
Optimize data pipelines for AI model training

Module 4: Module 4 – AI Models with Hadoop

Develop machine‑learning models using Hadoop‑based frameworks
Deploy models across the cluster for distributed inference
Monitor performance and iterate on model improvements

Module 5: Module 5 – Scalability and Performance

Scale AI applications horizontally across nodes
Tune Hadoop parameters for maximum throughput
Implement best practices for fault‑tolerant AI workloads

Module 6: Module 6 – Project and Real‑world Applications

Plan and execute a capstone AI project on Hadoop
Explore industry case studies across finance, healthcare, and retail
Present solutions and receive expert feedback

Tools, Techniques, or Platforms Covered

Apache Hadoop
HDFS
MapReduce
YARN
TensorFlow
PyTorch

Real-World Applications

Apply Apache Hadoop Basics skills directly to academic research, thesis work, and publications
Build a professional portfolio showcasing practical Big Data competencies
Solve industry-relevant problems using Apache Hadoop Basics methodologies and tools
Contribute to open-source projects and collaborative research in Big Data
Prepare for competitive examinations, interviews, and professional certifications in Big Data

Who Should Attend & Prerequisites

Students pursuing degrees in Big Data, science, engineering, or related disciplines
Working professionals seeking to upskill or transition into Big Data roles
Researchers and academicians looking to adopt modern techniques in Big Data
Entrepreneurs, freelancers, and self-learners interested in practical Big Data knowledge

Prerequisites: Prior experience with Big Data fundamentals or a related discipline is recommended. Basic programming knowledge may be helpful depending on the course modules.

Frequently Asked Questions

1. What is the format of this Apache Hadoop Basics course?

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

2. Will I receive a certificate after completing this course?

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.

3. What are the prerequisites for this course?

Learners should have a foundational understanding of Big Data concepts. Familiarity with basic tools and programming is recommended.

4. How long will I have access to the course materials?

You will have access to all course materials for the duration of 4 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

5. Is mentor support available during the course?

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Big Data. Our mentors are industry experts and experienced professionals.

Enroll in Apache Hadoop Basics today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Big Data skills that matter.

Brand	NSTC
Format	Online (e-LMS)
Duration	4 Weeks
Level	Advanced
Domain	Big Data
Hands-On	Yes – Practical projects with industrial datasets
Tools Used	Apache Hadoop, HDFS, MapReduce, YARN, TensorFlow, PyTorch

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