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Mentor Based

Apache Hadoop Basics

Harnessing Big Data for Artificial Intelligence

Enroll now for early access of e-LMS

MODE
Online/ e-LMS
TYPE
Mentor Based
LEVEL
Advanced
DURATION
4 Weeks

About

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

  1. Introduction to Hadoop and AI:
    • Basics of Hadoop and its components, introduction to AI, and their synergy.
  2. Setting Up Hadoop for AI:
    • Installation, configuration, and integration of AI tools with Hadoop.
  3. Data Management in Hadoop:
    • Deep dive into HDFS for data storage, and using MapReduce for efficient data processing.
  4. AI Models with Hadoop:
    • Developing and deploying AI models using Hadoop, with focus on machine learning implementations.
  5. Scalability and Performance:
    • Techniques for scaling AI applications and optimizing performance within the Hadoop ecosystem.
  6. Project and Real-world Applications:
    • Practical project planning, development, and real-world applications of Hadoop in AI across various industries.

Participant’s Eligibility

  • 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

Fee:       INR 10,999             USD 164

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies

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Key Takeaways

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Placement Assistance

  • Industry Connections: Exposure to industry partners and tech leaders in the field of big data and AI.
  • Career Guidance: Tailored advice on leveraging Hadoop skills in AI applications for career advancement.

Future Career Prospects

  • Big Data Architect
  • AI and Machine Learning Engineer
  • Data Analyst in AI-driven industries

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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Recent Feedbacks In Other Workshops

Please prepare better material with both foundamentals on the topics and manifacturing processes. More It was not a good idea to just use existing slides from other presentations put together.
Other sources for informations should also be presented for self tuition

GC Faussone : 2025-01-23 at 10:09 pm

great knowledge about topic.


Mr. Pratik Bhagwan Jagtap : 2025-01-22 at 7:29 pm

In general, it seems to me that the professor knows his subject very well and knows how to explain More it well.
CARLOS OSCAR RODRIGUEZ LEAL : 2025-01-20 at 8:07 am

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