Data Analytics with GenAI, Powered By IBM | Online Live Classes
Starts: 13-Jun-2026
Seats: 100
Timings: 07:30 PM - 10:30 PM
200 HrsOnline Live Classes
Valid for 12 MONTH
- 200 Hours Of Live Classes
200 Hours Of Live Classes - 24*7 Access To Class Recording
24*7 Class Recording - Interactive Classes
Interactive Classes - Get Your Doubts Solved From Subject Matter Experts
Doubt Solving Facility
- 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 program co-developed with IBM. It includes:
- 200+ hours of LIVE instructor-led training
- 30 hours of IBM-curated Data Analytics content
- 15-hour GenAI track focused on workflow automation
Learners will:
- Work on 25+ industry projects + 5 capstone projects
- Master 20+ industry tools
- Earn certifications from IBM, Career247, and NASSCOM
- Get 100% career assistance
Medium of Instruction: English + Hindi (Hinglish delivery)
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
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
Valid for 12 MONTH