Apache Hadoop Basics
Harnessing Big Data for Artificial Intelligence
Skills you will gain:
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.
What you will learn?
- 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.
Intended For :
- 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.
Career Supporting Skills