Apache Hadoop Basics
Harnessing Big Data for Artificial Intelligence
About This 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.
Aim
To equip participants with the knowledge to use Apache Hadoop for storing, managing, and processing large datasets in AI applications efficiently.
Program Objectives
- Gain mastery over Hadoop’s ecosystem and its application in AI.
- Develop skills to configure and optimize Hadoop for large-scale AI solutions.
- Implement real-world AI projects using Hadoop to solve complex data challenges.
Program Structure
- Introduction to Hadoop and AI:
- Basics of Hadoop and its components, introduction to AI, and their synergy.
- Setting Up Hadoop for AI:
- Installation, configuration, and integration of AI tools with Hadoop.
- Data Management in Hadoop:
- Deep dive into HDFS for data storage, and using MapReduce for efficient data processing.
- AI Models with Hadoop:
- Developing and deploying AI models using Hadoop, with focus on machine learning implementations.
- Scalability and Performance:
- Techniques for scaling AI applications and optimizing performance within the Hadoop ecosystem.
- Project and Real-world Applications:
- Practical project planning, development, and real-world applications of Hadoop in AI across various industries.
Who Should Enrol?
- Individuals with a background in IT, Computer Science, and data sciences, interested in big data and AI.
- Professionals in tech industries such as BFSI, IT services, consulting, looking to enhance their big data processing skills.
Program Outcomes
- Proficiency in managing and analyzing big data with Hadoop.
- Enhanced ability to design and implement scalable AI systems.
- Readiness to tackle advanced data processing challenges in the tech industry.
Fee Structure
Discounted: ₹10999 | $164
We accept 20+ global currencies. View list →
Frequently asked questions
Will I get the recording?
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
What if I miss a live session?
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Do I get a certificate?
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Which fee category applies to me?
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
How can I pay?
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
What is the refund policy?
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
More upcoming workshops
Live, mentor-led and certified. Dates and times in IST.
AI-Enabled Digital Twin Prototyping for Precision Healthcare: Patient Data, Predictive Modeling & Explainable AI
with Abhimanyu
- Dates
- 2–4 Nov 2026
- Time
- 5:00 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,000
- Ph.D. Scholar / Researcher₹3,000
- Academician / Faculty₹4,000
- Industry Professional₹4,999
Agentic AI Engineering: Planning, Tool Use & Multi-Agent Orchestration
- Dates
- 9–11 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,499
- Ph.D. Scholar / Researcher₹3,499
- Academician / Faculty₹4,499
- Industry Professional₹5,499
Photoelectrocatalysis for Green Hydrogen: Materials & Reactor Design
- Dates
- 10–12 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,499
- Ph.D. Scholar / Researcher₹3,499
- Academician / Faculty₹4,499
- Industry Professional₹6,499
Digital Fraud Forensics: Transaction Anomaly Detection, Phishing Threat Analysis & Machine Learning
- Dates
- 12–14 Nov 2026
- Time
- 7:30 PM IST
- Duration
- 3 Days
- Level
- Advanced
- Student₹2,999
- Ph.D. Scholar / Researcher₹3,999
- Academician / Faculty₹4,999
- Industry Professional₹6,999
AI-Driven Polymer Composites: Microstructure Analysis, Property Prediction & Inverse Design
- Dates
- 16–18 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Advanced
- Student₹2,999
- Ph.D. Scholar / Researcher₹3,999
- Academician / Faculty₹4,999
- Industry Professional₹5,999
LLM Engineering: Fine-Tuning, Model Optimization & Agentic AI Deployment
- Dates
- 17–19 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Advanced
- Student₹2,999
- Ph.D. Scholar / Researcher₹3,999
- Academician / Faculty₹4,999
- Industry Professional₹5,999






