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Big Data Analytics & Artificial Intelligence: From Fundamentals to Integration

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Delivery Mode
Virtual / Online
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Level
Advanced
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Duration
3 Days
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Certificate
Mentor Based
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Language
English
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Rating
5 Stars
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About Workshop

In today’s data-driven world, the ability to analyze large datasets and leverage Artificial Intelligence (AI) has become a cornerstone of innovation and decision-making across industries. This workshop, Big Data Analytics and AI, provides a deep dive into the fundamentals, tools, techniques, and applications of these transformative technologies.
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Aim

The aim of this workshop is to equip participants with a comprehensive understanding of Big Data Analytics and Artificial Intelligence, focusing on their integration, tools, and techniques to analyze vast datasets and derive actionable insights. The workshop is designed to empower attendees with the knowledge and practical skills needed to harness the transformative potential of Big Data and AI in solving real-world problems and driving innovation across various industries.
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What Participants Will Learn

  • Understand Concepts: Learn the fundamentals of Big Data, AI, and their integration.
  • Build Skills: Gain hands-on experience with tools like Hadoop, Spark, and AI algorithms.
  • Apply Knowledge: Solve real-world problems using Big Data and AI techniques.
  • Explore Trends & Ethics: Discuss emerging technologies and address ethical considerations like privacy and bias.
  • Boost Careers: Develop in-demand skills for roles in Big Data, AI, and related fields.
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Structure

πŸ”Ή Day 1: Foundations of Big Data & AI

  • Key Characteristics of Big Data (5Vs)
  • Fundamentals of AI and Machine Learning
  • Real-world Applications Across Domains
  • Hands-On: Data exploration & visualization using Python (Colab)

πŸ”Ή Day 2: Tools, Techniques & Integration

  • Overview of Hadoop, Spark, Kafka (Conceptual)
  • AI Techniques: Clustering, Classification, NLP
  • Big Data-AI Integration Strategies
  • Hands-On: ML model development using PySpark or scikit-learn

πŸ”Ή Day 3: Advanced Topics & Implementation

  • Emerging Areas: Edge AI, AutoML, Federated Learning
  • AI Governance: Fairness, Explainability, Deployment Challenges
  • Scalable Architecture on Cloud Platforms
  • Hands-On: End-to-end mini project – Ingest β†’ Train β†’ Visualize

Important Dates

Registration Ends

4 pm

Workshop Dates

2025-05-15
5 PM
5 PM
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What You Will Gain

Sample Certificate
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Outcomes

By the end of the workshop, participants will:
  1. Understand the fundamentals of Big Data and AI, including their integration.
  2. Gain hands-on experience with tools like Hadoop, Spark, Python, and R.
  3. Apply AI algorithms to real-world datasets for practical problem-solving.
  4. Explore industry applications and emerging trends in Big Data and AI.
  5. Earn a certificate to validate their skills.
  6. Build a foundation for careers in Data Science, AI, and Big Data.
This workshop empowers you to leverage Big Data and AI effectively in your field!
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Who Should Attend

This workshop is open to:
  • Students: From computer science, data science, engineering, and related fields.
  • Professionals: Data analysts, IT experts, and AI enthusiasts.
  • Academicians & Researchers: Incorporating Big Data and AI into their work.
  • Entrepreneurs: Leveraging data for growth.

Gurpreet Kaur

Assistant Professor

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