Home » Advanced Certification in Data Science & Generative A.I.

Advanced Certification in Data Science & Generative A.I.

Duration: 

5 Months

Cohort Start: 

Oct 2026

Level: 

DATA SCI AND GENERATIVE AI

Program Highlights

Who is this for?

This advanced certification is designed for professionals, developers, engineers, and graduates who want to build production-ready AI solutions and become industry-ready Data Science & Generative AI experts.

Software Developers

Developers looking to integrate AI and Machine Learning into modern applications.

Data Analysts

Professionals ready to transition into Data Science and predictive analytics.

AI Enthusiasts

Learners passionate about Generative AI, LLMs, and intelligent automation.

Graduates

Fresh graduates preparing for careers in AI, ML, and Data Science.

Working Professionals

Professionals upskilling to stay competitive in the AI-driven workplace.

Entrepreneurs

Business owners looking to leverage AI for innovation, automation, and growth.

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.

Course Curriculum

Explore the modules and topics covered throughout the program.

Session 1

Advanced Python Programming & Data Science Foundations

90 - 120 Minutes

Build a strong programming foundation for advanced Data Science and AI development.

  • Advanced Python
  • Object-Oriented Programming
  • APIs
  • Jupyter Notebook
  • Google Colab
  • Git & GitHub Basics
Session 2

Data Analysis, SQL & Feature Engineering

90 - 120 Minutes

Learn to collect, clean, transform, and analyze structured datasets.

  • SQL for Data Science
  • NumPy
  • Pandas
  • Data Cleaning
  • Feature Engineering
  • Exploratory Data Analysis
Session 3

Machine Learning & Predictive Analytics

90 - 120 Minutes

Build machine learning models that solve real business problems.

  • Regression
  • Classification
  • Clustering
  • Decision Trees
  • Random Forest
  • Model Evaluation
Session 4

Deep Learning, NLP & Computer Vision

90 - 120 Minutes

Understand modern AI techniques used in enterprise applications.

  • Neural Networks
  • TensorFlow
  • Keras
  • NLP
  • Computer Vision
  • Image Classification
Session 5

Generative AI & Prompt Engineering

90 - 120 Minutes

Build AI-powered solutions using Large Language Models.

  • ChatGPT
  • Claude
  • Gemini
  • Prompt Engineering
  • AI Productivity
  • Responsible AI
Session 6

Enterprise AI Development & AI Agents

90 - 120 Minutes

Develop intelligent AI applications using modern frameworks.

  • LangChain
  • RAG
  • Vector Databases
  • AI Agents
  • MCP Concepts
  • AI Workflow Automation
Session 7

Model Deployment, MLOps & Cloud AI

90 - 120 Minutes

Deploy AI solutions into production environments.

  • FastAPI
  • Docker
  • Azure AI
  • AWS AI
  • Google Vertex AI
  • Model Monitoring
Session 8

Industry Capstone Project & Career Readiness

120 Minutes

Apply everything learned by building a complete enterprise AI solution.

  • End-to-End AI Project
  • Portfolio Development
  • Resume Building
  • GitHub Portfolio
  • Mock Interviews
  • Career Roadmap

Course Instructors

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JR
Founder & CEO

Mr. Jackson A. Robin

18+ years building businesses, mentoring professionals, and driving technology-led innovation across industries. Passionate about making Artificial Intelligence and Data Science accessible to learners and future technology leaders.

Entrepreneurship AI Education Leadership

18+ years experience

AI
Chief AI Scientist

Dr. Aarav Iyer

AI researcher with over 20 years of experience in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and enterprise AI systems. Has led AI initiatives across healthcare, finance, and technology sectors.

Machine Learning Deep Learning NLP Computer Vision

20+ years experience

PN
Principal AI Solutions Architect

Ms. Priya Nair

Enterprise AI consultant specializing in Generative AI, AI Agents, cloud AI platforms, and intelligent automation. Passionate about helping professionals build practical AI solutions for real-world business challenges.

Generative AI LangChain MLOps Enterprise AI

15+ years experience

What Our Students Say

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

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Course Tools

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Programming

Python Jupyter Notebook Google Colab Git

Data Science

NumPy Pandas SQL

Machine Learning

Scikit-learn TensorFlow Keras

Data Visualization

Power BI Matplotlib Plotly

Generative AI

ChatGPT Claude Gemini LangChain

Cloud AI & Deployment

Azure AI AWS AI Docker FastAPI

Course Outcomes

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Course Certificate

What you'll receive

Course Roadmap

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Where this course takes you

AI Engineer

Data Scientist

Generative AI Engineer

Machine Learning Engineer

Recommended certifications

AI-102 Microsoft
DP-100 Microsoft
TensorFlow Developer Google
AWS Machine Learning Amazon
Databricks Associate Databricks
Professional ML Engineer Google Cloud

Course FAQ

Explore the modules and topics covered throughout the program.

What is the Advanced Certification in Data Science & Gen AI?

This is a comprehensive certification program designed to help learners build practical skills in Data Science, Machine Learning, Artificial Intelligence, and Generative AI using industry-relevant tools and real-world projects.

Who can enroll in this course?

This advanced certification is designed for students, graduates, working professionals, data analysts, business analysts, software developers, AI enthusiasts, and professionals who already have a basic understanding of Data Science, Machine Learning, or Generative AI and want to deepen their expertise.

Do I need a technical background to join?

Yes. Participants should have foundational knowledge of Data Science, Python, Machine Learning concepts, or Generative AI tools. This program focuses on advanced concepts, practical applications, and industry use cases rather than introductory topics.

What are the prerequisites for this program?

Learners should have a basic understanding of Data Science fundamentals, Python programming, data analysis concepts, and Generative AI tools. Prior exposure to machine learning workflows, data visualization, or AI applications will help participants get the most value from the program.

Is the course conducted online or offline?

The program is delivered through live online instructor-led sessions, allowing participants to learn from anywhere.

What programming languages will I learn?

You will primarily work with Python, one of the most widely used programming languages in Data Science, Machine Learning, and AI.

What tools and technologies are covered in the course?

The program may include Python, Pandas, NumPy, Machine Learning libraries, Data Visualization tools, Generative AI tools, ChatGPT, and other industry-relevant technologies.

Will I learn Generative AI and ChatGPT?

Yes. The curriculum includes Generative AI concepts, prompt engineering, AI applications, and practical use cases using tools like ChatGPT and other modern AI platforms.

Are there any hands-on projects?

Yes. Learners work on practical assignments, case studies, and industry-oriented projects to gain real-world experience.

Will I receive a certificate after completion?

Yes. Participants who successfully complete the course requirements will receive a certification from the academy.

How long is the course?

The duration depends on the batch and curriculum structure. Please check with the admissions team for the latest schedule.

How is this course different from a regular Data Science course?

This program combines traditional Data Science concepts with the latest Generative AI technologies, helping learners stay relevant in today's AI-driven job market.

Will I learn Machine Learning concepts?

Yes. The course covers essential Machine Learning concepts, algorithms, model building, evaluation techniques, and practical applications.

Why should I choose this Data Science & Gen AI certification?

The program focuses on practical learning, live expert-led training, real-world projects, industry-relevant tools, and emerging AI technologies, helping learners build job-ready skills for the future.

Enroll today

Become an Industry-Ready AI & Data Science Professional

Master Data Science, Machine Learning, Deep Learning, Generative AI, AI Agents, and modern enterprise AI development through hands-on projects and expert mentorship.

One Month — 100% Live

4 sessions · 60–90 min each

Apply Now

Check your eligibility before applying

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