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    IBM-Powered Data Analytics with GenAI | Live Online Program | Starting 13 June 2026

    • date-icon Starts: 13-Jun-2026
    • seat-icon Seats: 100
    • timmer-icon Timings: 07:30 PM - 10:30 PM
    What will you get
    • ONLINE_LIVE_CLASSES200 HrsOnline Live Classes
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    Our Plan
    12 months

    Valid for 12 MONTH

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    Salient Features
    • Get Your Doubts Solved From Subject Matter Experts
      Doubt Solving Facility
      Doubt Solving Facility
    • 200 Hours Of Live Classes
      200 Hours of Live Classes
      200 Hours Of Live Classes
    • Interactive Classes
      Interactive Classes
      Interactive Classes
    • 24*7 Access To Class Recording
      24*7 Class Recording
      24*7 Class Recording
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    Live Classes
    59,000
    Product Highlights
    • 6-month cohort-based live program
    • Tools covered: Excel, SQL, Python, Power BI, ML & GenAI
    • Recorded sessions for revision
    • Job-assisted placement support
    • Backed by Adda247 / AddaEducation ecosystem
    Exams Covered
    • Data Analytics
      Data Analytics

    This Course Includes

    • ONLINE_LIVE_CLASSES200 Hrs Online Live Classes
    • Overview
    • This Package Includes
    • Subjects Covered
    • Study Plan
    • Faculty Details
    • FAQs
    • Testimonials

    Overview

    Data Analytics with GenAI, Powered by IBM, is a 250+ hour, 6-month industry-ready certification program built on IBM's legacy of driving innovation in Artificial Intelligence, Data Analytics, Cloud Computing, and Enterprise Technology for over a century.

    Leveraging IBM-curated learning content, industry best practices, and globally recognized technology expertise, this program is designed to help learners build job-ready skills in Data Analytics and Generative AI while gaining exposure to the methodologies used by leading enterprises worldwide.

    The program includes:

    • 200+ hours of LIVE instructor-led training
    • 30 hours of exclusive IBM-curated Data Analytics content
    • 15-hour GenAI specialization track focused on AI-powered analytics and workflow automation
    • Learning aligned with IBM's approach to data-driven decision-making and business intelligence
    • Exposure to industry-standard analytics tools and real-world business use cases

    Why IBM?

    • Learn through content curated by one of the world's most trusted technology leaders
    • Benefit from IBM's decades of expertise in Data, AI, Cloud, and Enterprise Solutions
    • Gain industry-recognized credentials that enhance employability
    • Build skills aligned with the evolving demands of the global analytics industry

    Learners will:

    • Work on 25+ industry projects and 5 capstone projects
    • Master 20+ industry-standard analytics and BI tools
    • Earn certifications from IBM, Career247, and NASSCOM
    • Receive 100% career assistance, including resume building, interview preparation, and placement support

    This Package Includes

    • Online LIVE training
    • 30 hours IBM-curated courses
    • 15-hour GenAI track
    • Access to 20+ tools
    • 25 projects + 5 capstone options
    • IBM virtual labs & masterclasses
    • 200+ learning resources
    • Certifications (IBM, Career247, NASSCOM)
    • Career assistance & mock interviews
    • Financing options

     

    Subjects Covered

    • Python Programming (NumPy, Pandas)
    • Statistics & Mathematics
    • SQL (Joins, Queries, Window Functions)
    • Data Visualization (Excel, Power BI, Tableau)
    • IBM GenAI Track (Prompting, Automation)
    • Machine Learning Basics
    • Industry Projects & Capstones
    • Career Preparation

     

    Study Plan

    Check the study plan here

     

    Faculty Details

    Arindam Bhowmick 

     

     

    Designation & Organization Technical Architec
    Data Science & GenAI/ML Specialist

    Short Bio 
    Arindam Bhowmick is a Technical Architect with over 13 years of experience in the IT industry, specializing in Data Science, Machine Learning, and Generative AI. Currently working with EY, he has extensive expertise in designing and deploying scalable AI/ML solutions across cloud platforms like AWS, Azure, and GCP. With a strong background in retail and enterprise domains, he is known for building intelligent systems, mentoring teams, and driving AI-led transformations from concept to deployment.

    Key Achievements
    13+ years of experience delivering AI/ML and data-driven solutions across global organizations
    Successfully designed and deployed machine learning models across AWS, Azure, and GCP environments
    Led end-to-end development of AI applications, from data preprocessing to model deployment
    Built and deployed chatbots using RASA NLU for real-world business use cases
    Developed multiple POCs in AI/ML, contributing to innovation and organizational AI practices
    Mentored and upskilled teams in data science and machine learning technologies
    Delivered predictive analytics solutions to reduce manual effort and improve business efficiency


    Area of Expertise Data Science & Machine Learning
    Generative AI & Agentic AI Systems
    Cloud AI Deployment (AWS, Azure, GCP)
    Python (NumPy, Pandas, Scikit-learn, TensorFlow, Keras)
    Model Deployment (Flask, APIs)
    Deep Learning & Predictive Modeling
    Data Preprocessing & Feature Engineering
    Chatbot Development (RASA NLU)
    ETL Pipelines & Data Engineering
    AI Solution Architecture & System Design

    Frequently Asked Questions

      Testimonials

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      59,000