IBM-Powered Data Analytics with GenAI | Live Online Program | Starting 13 June 2026
Starts: 13-Jun-2026
Seats: 100
Timings: 07:30 PM - 10:30 PM
Valid for 12 MONTH
- Get Your Doubts Solved From Subject Matter Experts
Doubt Solving Facility - 200 Hours Of Live Classes
200 Hours Of Live Classes - Interactive Classes
Interactive Classes - 24*7 Access To Class Recording
24*7 Class Recording
- 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
Data Analytics
This Course Includes
200 Hrs Online Live Classes
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 Architect
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
Testimonials









