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IBM-Powered Data Science & Machine Learning with GenAI Certification | Live Online Program | Starting 18 July 2026
Starts: 18-Jul-2026
Seats: 100
Timings: 04:00 PM - 07:00 PM | 07:30 PM - 10:30 PM
What will you get
Our Plan
Recommended
12 months
Valid for 12 MONTH
₹0
Salient Features
- Never Compromise On Quality With Adda's Preparation MaterialBest In Class Material
- Preparation Material Based On The Latest Exam Pattern Every YearLatest Pattern
- Learn Anytime, Anywhere, And At Your Own Pace With Adda's E-booksSelf Paced Learning
- Learn Across Devices, Compatible With Mobile, Tabs, And DesktopsDevice Compatibility
Product Highlights
- 7-month cohort-based live program
- Dual certification from IBM and NASSCOM
- Live instructor-led + self-paced flexible learning model
- Recorded sessions available for revision anytime
- Dedicated doubt resolution and student support system
- Backed by Adda247 / Adda Education ecosystem
Exams Covered
Data Science
This Course Includes
200 Hrs Online Live Classes
Overview
Data Science and Machine Learning with GenAI Certification, Powered By IBM is a 270+ hour, 7-month program. The curriculum covers:
- Python, SQL, Statistics, Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI
- 40+ hours of IBM-designed courses with Masterclasses & Guided GenAI Labs
- 8 Industry Projects + 1 Capstone Project on AI/ML Applications
Learners will:
- Work on real-world projects and capstone
- Gain hands-on experience through GenAI labs
- Earn certifications from IBM, Career247, and NASSCOM
- Get 100% career assistance

This Package Includes
- Online LIVE instructor-led training
- 40+ hours IBM-designed courses with masterclasses
- Guided GenAI labs for hands-on practice
- 8 Industry Projects + 1 Capstone Project
- Coverage of Python, SQL, ML, DL, NLP, CV & GenAI
- IBM virtual labs and hackathons
- Triple certification (IBM, Career247, NASSCOM)
- 100% career assistance & mock interviews
- Financing options available
- Tools covered: Excel, SQL, Python, Power BI, Tableau, Machine Learning & Generative AI



Subjects Covered
- Python for Data Science (Pandas, NumPy, Matplotlib, Seaborn)
- Statistics & Mathematics (Probability, Hypothesis Testing, Distributions)
- SQL for Data Science
- Machine Learning (Supervised & Unsupervised)
- Deep Learning (CNN, RNN, LSTM)
- NLP (Transformers, BERT, Sentiment Analysis)
- Computer Vision
- Generative AI with IBM (LLMs, Prompt Engineering)
- Big Data Technologies (Hadoop, Spark)
- Industry Projects & Capstone
- Career Preparation
Study Plan
Check the study plan here
Testimonials

NITISH KUMAR
I recently attended a Data Science class and found it very interesting and informative. The instructor explained complex topics like Python, statistics, and machine learning in a simple and practical way. The sessions were well-structured and focused

Jubi Borah
This data science program has been a transformative learning experience for me. The course covered everything from Python fundamentals to analytical thinking in a well-organized manner. What I liked most was the practical approach every concept

Ayush Manral
I am upskilling my career in data science program where I worked on cleaning data, analyzing it, building machine learning models, and evaluating their performance using Python and libraries like Pandas, NumPy, and Scikit-learn.

Diksha Jeena
It is a good experience i learn a new things from this program how data is working in real life n what techniques we use for the visualisation

Atul Pal
I’m currently on the final phase of the “Data Science & Machine Learning with Gen AI” course from Career247, and the journey so far has been highly rewarding. The curriculum has been well-structured, covering Python, SQL, machine learning

NITISH KUMAR
I recently attended a Data Science class and found it very interesting and informative. The instructor explained complex topics like Python, statistics, and machine learning in a simple and practical way. The sessions were well-structured and focused

Jubi Borah
This data science program has been a transformative learning experience for me. The course covered everything from Python fundamentals to analytical thinking in a well-organized manner. What I liked most was the practical approach every concept

Ayush Manral
I am upskilling my career in data science program where I worked on cleaning data, analyzing it, building machine learning models, and evaluating their performance using Python and libraries like Pandas, NumPy, and Scikit-learn.

Diksha Jeena
It is a good experience i learn a new things from this program how data is working in real life n what techniques we use for the visualisation
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