IBM-Powered Data Science & Machine Learning with GenAI Certification | Live Online Program | Starting 18 July 2026
Exams Covered: 2
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
IBM Certified 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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