Home » One-Month Certification in Data Science and Generative A.I.

One-Month Certification in Data Science and Generative A.I.

Build practical skills in data science and Generative AI in just one month. Learn Python, data analysis, machine learning, visualization, prompt engineering, and AI-powered workflows to turn real-world data into insights and ideas into impact.

Duration: 

1 Month

Cohort Start: 

17th October 2026

Level: 

Intermediate

ONE MONTH CERTIFICATION IN DATA SCIENCE AND GENERATIVE AI

Program Highlights

Who is this for?

This program is designed for students, working professionals, analysts, and aspiring AI practitioners who want a practical introduction to data science and Generative AI.

Students

Students looking to develop practical data and AI skills alongside their academic studies

Analysts

Business and data analysts looking to strengthen their analytics and AI capabilities

Professionals

Working professionals looking to use data and AI more effectively in their current roles

Developers

Developers interested in machine learning, AI applications, and intelligent software workflows

Entrepreneurs

Founders and business owners looking to use data and AI for better decision-making and automation

Career Switchers

Professionals exploring a transition into data, analytics, or AI-focused career paths

Not sure if you qualify? If you have hands-on experience in any of the roles above, you're eligible. This program does not require prior cybersecurity knowledge — just a working IT background.

What you'll learn?

Gain practical, industry-ready skills through hands-on projects, guided learning, and real-world applications.

Understand how data is collected, structured, cleaned, and prepared for analysis

Use Python fundamentals and popular libraries for practical data analysis

Apply descriptive statistics and visualization techniques to understand datasets

Understand supervised and unsupervised machine learning concepts

Understand Generative AI, large language models, prompt engineering, and AI-assisted workflows

Present data-driven findings and communicate insights effectively

Course Curriculum

Explore the modules and topics covered throughout the program.

Session 1

Data Science Foundations & The Data Lifecycle

60 - 90 Minutes

Understand the role of data science and how organizations turn raw data into useful information

  • Data science lifecycle
  • Structured vs unstructured data
  • Data collection
  • Data quality
  • Data preparation
  • Business questions & data-driven decision making
Session 2

Python for Data Analysis

60 - 90 Minutes

Build practical Python foundations for working with datasets

  • Python fundamentals
  • Variables & data structures
  • Functions
  • NumPy basics
  • Pandas fundamentals
  • Reading and manipulating datasets
Session 3

Data Cleaning, Statistics & Exploration

60 - 90 Minutes

Learn how to prepare datasets and identify meaningful patterns

  • Missing values
  • Duplicate data
  • Outliers
  • Descriptive statistics
  • Correlation
  • Exploratory data analysis
  • Practical dataset exercise
Session 4

Data Visualization & Business Insights

60 - 90 Minutes

Turn data into clear visual insights and business recommendations

  • Visualization principles
  • Charts & dashboards
  • Matplotlib & Seaborn concepts
  • Trend analysis
  • KPI analysis
  • Storytelling with data
Session 5

Machine Learning Fundamentals

60 - 90 Minutes

Understand how machine learning models learn from data and generate predictions

  • Machine learning lifecycle
  • Supervised learning
  • Unsupervised learning
  • Regression
  • Classification
  • Clustering
  • Model evaluation concepts
Session 6

Generative AI & Large Language Models

60 - 90 Minutes

Understand how modern Generative AI systems work and how they can be applied

  • Generative AI fundamentals
  • Large language models
  • Tokens & context
  • AI capabilities & limitations
  • Multimodal AI
  • Responsible AI concepts
Session 7

Prompt Engineering & AI-Powered Productivity

60 - 90 Minutes

Learn how to create effective prompts and build repeatable AI-assisted workflows

  • Prompt structures
  • Context & constraints
  • Few-shot prompting
  • Structured outputs
  • AI-assisted research
  • Data analysis with AI
  • Workflow automation concepts
Session 8

Practical Data Science & Gen AI Project

60 - 90 Minutes

Combine data analysis and Generative AI skills in a practical end-to-end project

  • Dataset selection
  • Data cleaning
  • Exploratory analysis
  • Visualization
  • AI-assisted analysis
  • Insight generation
  • Project presentation

Course Instructors

Learn from experienced cybersecurity leaders with decades of industry expertise and real-world enterprise experience.

JR
Founder & CEO

Mr. Jackson A. Robin

Entrepreneur, educator, and technology leader with 18+ years of experience helping professionals build future-ready careers. Passionate about making AI and emerging technologies accessible to learners across industries.

Entrepreneurship AI Education Leadership

18+ years experience

AI
Chief AI Scientist

Dr. Aarav Iyer

AI researcher and data scientist with over 18 years of experience developing machine learning solutions, large language model applications, predictive analytics, and enterprise AI systems across finance, healthcare, and technology sectors.

Machine Learning LLMs Computer Vision NLP

18+ years experience

PN
Senior Data Science Consultant

Ms. Priya Nair

Data science consultant specializing in Python, analytics, visualization, Generative AI, and business intelligence. Passionate about helping learners apply AI to solve real-world business challenges.

Python Power BI Analytics Generative AI

13+ years experience

What Our Students Say

Thousands of students have transformed their skills with our courses. Here’s what they have to say.

4.9
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1,848 ratings
5 star
75%
4 star
18%
3 star
4%
2 star
1%
1 star
1%
A
Aakash Sharma
April 2026
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A fantastic introduction to Data Science and Generative AI. The practical sessions helped me understand concepts that previously seemed very complex.
S
Sneha Kulkarni
April 2026
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The AI modules were outstanding. I now understand how ChatGPT, Gemini, and other AI models can be applied in real business scenarios.
V
Vishal Patel
May 2026
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The instructors explained Python and Machine Learning in a beginner-friendly manner. Highly recommended.
R
Rohit Menon
May 2026
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Excellent curriculum with practical examples and real datasets.

All Reviews

A
Aakash Sharma
April 2026
starstarstarstarstar
A fantastic introduction to Data Science and Generative AI. The practical sessions helped me understand concepts that previously seemed very complex.
S
Sneha Kulkarni
April 2026
starstarstarstarstar
The AI modules were outstanding. I now understand how ChatGPT, Gemini, and other AI models can be applied in real business scenarios.
V
Vishal Patel
May 2026
starstarstarstarstar
The instructors explained Python and Machine Learning in a beginner-friendly manner. Highly recommended.
R
Rohit Menon
May 2026
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Excellent curriculum with practical examples and real datasets.
P
Priya Joshi
May 2026
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The Prompt Engineering module alone was worth joining the course.
K
Karan Shah
June 2026
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Every session focused on practical implementation rather than theory, which made learning enjoyable.
M
Meenal Deshpande
June 2026
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I built my first AI-powered project by the end of the course. It boosted my confidence tremendously.
A
Aditya Nair
June 2026
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Great balance between Data Science fundamentals and modern Generative AI.
P
Pooja Singh
July 2026
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The instructors simplified Machine Learning concepts using real-world business examples.
R
Rahul Verma
July 2026
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One of the best AI courses I've attended. The career guidance and capstone project were incredibly valuable.
N
Nidhi Rao
July 2026
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Perfect course for anyone starting a career in AI and Data Science.
H
Harish Kumar
August 2026
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The live demonstrations helped me understand concepts much faster than recorded courses.
S
Sakshi Mehta
August 2026
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Excellent support from mentors throughout the program.
A
Ankit Jain
August 2026
starstarstarstarstar
The curriculum is current and aligned with what companies expect from AI professionals.
R
Riya Fernandes
September 2026
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I enrolled to learn Generative AI and ended up gaining a solid understanding of Data Science as well.
D
Dev Patel
September 2026
starstarstarstarstar
The combination of Python, analytics, Machine Learning, and AI tools makes this an excellent beginner certification.
I
Ishita Kapoor
September 2026
starstarstarstarstar_border
Very practical and easy to follow even with limited programming experience.
S
Saurabh Mishra
October 2026
starstarstarstarstar
Highly recommended for students and professionals looking to enter the AI industry.

Course Tools

Get hands-on exposure to industry-standard cybersecurity tools used by modern security teams.

Programming

Python Jupyter Notebook Google Colab

Data Analytics

NumPy Pandas

Data Visualization

Matplotlib Power BI

Machine Learning

Scikit-learn TensorFlow

Generative AI

ChatGPT Claude Gemini Microsoft Copilot

AI Development

Hugging Face LangChain Basics

Course Outcomes

Build practical cybersecurity skills that you can apply confidently in real-world IT environments.

Analyze datasets and identify meaningful patterns, trends, and business insights

Use Python and common data science libraries to work with structured datasets

Understand the fundamentals of machine learning and how predictive models are developed

Use Generative AI tools effectively for research, analysis, content, and productivity workflows

Combine data analysis and AI techniques to solve practical business problems

Build a foundation for further learning in data science, machine learning, and AI careers

Course Certificate

What you'll receive

Data Science & Generative AI Certification — Prime Growth Academy

Issued by Prime Growth Academy
Valid for Lifetime
What it proves Completion of the one-month live training program covering data analysis, Python, statistics, machine learning fundamentals, Generative AI, prompt engineering, and practical AI workflows

Course Roadmap

Your pathway to cybersecurity careers and globally recognized industry certifications.

Where this course takes you

Data Analyst

Transform business data into actionable insights using analytics and visualization.

AI Analyst

Build AI-powered workflows using Generative AI tools and automation.

Junior Data Scientist

Work with structured data, predictive models, and machine learning fundamentals.

AI Automation Specialist

Design intelligent business solutions using modern AI technologies.

Recommended certifications

Microsoft AI-900 Microsoft
DP-900 Microsoft
Google Data Analytics Google
TensorFlow Developer Google
Azure AI Engineer Microsoft
IBM Data Science IBM

Course FAQ

Find answers to the most common questions about the program, eligibility, and certification.

Who is this certification program designed for?

This program is designed for students, fresh graduates, working professionals, entrepreneurs, and anyone interested in learning Data Science and Generative AI.

Do I need a technical background to join?

No. The course is structured for both technical and non-technical learners and starts with fundamental concepts before progressing to advanced topics.

What is the duration of the program?

The certification program is conducted over one month through live instructor-led sessions.

Are the classes live or pre-recorded?

All sessions are conducted live, allowing participants to interact with trainers, ask questions, and receive guidance throughout the program.

What is the class schedule?

Classes are conducted on weekdays or weekends depending on the batch. Detailed schedules are shared during enrollment.

What will I learn in this course?

You will learn Data Science fundamentals, data analysis, machine learning concepts, Generative AI applications, prompt engineering, and AI-powered business solutions.

Is coding knowledge required?

No prior coding experience is required. The course introduces essential concepts in a beginner-friendly manner.

Will I learn how to use AI tools like ChatGPT?

Yes. The program includes practical applications of Generative AI tools such as ChatGPT and explores how AI can improve productivity and decision-making.

Will the course include hands-on learning?

Yes. Participants will work on practical exercises, case studies, and projects to gain real-world experience.

What certification will I receive?

Participants who successfully complete the program will receive a One Month Certification in Data Science & Generative AI.

What career opportunities can this course support?

The knowledge gained can help learners explore roles related to Data Analysis, Business Analytics, AI Applications, Data Science, and AI-driven decision-making.

Does the program include placement assistance?

No. This certification program focuses on skill development and practical learning. Placement assistance is not included.

Why should I learn Data Science and Generative AI now?

Organizations across industries are rapidly adopting AI and data-driven decision-making. These skills are becoming increasingly valuable for future career growth.

How can I enroll in the next live batch?

You can contact the admissions team for information regarding upcoming batches, schedules, fees, and the enrollment process.

If I miss a live session, can I catch up later?

Absolutely. With 1 year of recording access, learners can watch missed sessions and stay on track with the course curriculum.

Enroll today

Build Your Future with Data Science & Generative AI

Master the fundamentals of Data Science, Machine Learning, and Generative AI through live practical sessions designed for students, professionals, and aspiring AI enthusiasts.

One Month — 100% Live

4 sessions · 60–90 min each

Apply Now

Check your eligibility before applying

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