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Gen AI Data Scientist Career Accelerator Program

Build job-ready Data Science, ML, Gen AI & Agentic AI skills in Association with I-DAPT, IIT (BHU).

  • 7 Months
  • Live Instructor-Led Classes
  • Guaranteed Interviews
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Learning Format Live Instructor-Led

Program Duration 7 Months/180+ Hours

Career Support Guaranteed Interview*

Portfolio Output 5 Live AI Applications

Program Fee₹1,49,999 | EMI Available

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Professionals with AI skills get paid up to 56% more than professionals without them.

Naukri, AI: Friend, Foe or Frenemy, July 2025

Build Your Data Science Career for the GenAI Era 

The GenAI Data Scientist Career Accelerator Program is a portfolio-first Data Science and AI program designed for fresh graduates, career switchers and IT professionals looking to build job-ready skills for the evolving Data Science and AI industry. 

Across 7 months and 180+ hours of live instructor-led learning, you’ll progress from Python, SQL, statistics and data analysis to Machine Learning, Deep Learning, Generative AI, RAG, Agentic AI and AWS. 

With 60% hands-on learning, you’ll build 8+ GitHub repositories, 5 live AI applications and 2 flagship projects to develop a portfolio that demonstrates your practical skills to recruiters and hiring teams. 

We are happy to help you 24/7

Why Choose This Data Science & GenAI Program?

Highlight icon I-DAPT IIT (BHU) Varanasi Association
Highlight icon 7 Months Structured Program
Highlight icon 60% Hands-On Learning
Highlight icon 8+ GitHub Portfolio Repositories
Highlight icon 5 Live AI Applications
Highlight icon RAG & multi-Agent AI Projects
Highlight icon Learn Gen AI on AWS
Highlight icon RAGAS & Agent Observability
Highlight icon Career Support & Mock Interviews
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In Association with I-DAPT IIT (BHU) Varanasi

The GenAI Data Scientist Career Accelerator Program is delivered in association with I-DAPT Foundation, IIT (BHU) Varanasi, bringing together academic and industry perspectives across Data Science, Machine Learning and Artificial Intelligence. The association adds an academic and innovation dimension to a curriculum focused on practical Data Science and AI development. Learners work across ML, Deep Learning, Gen AI, RAG and Agentic AI while building projects designed around real-world and enterprise use cases.

Collaboration

Master In-Demand Data Science & AI Skills

Python

SQL

Data Science

Machine Learning

Deep Learning

Generative AI

Statistics & Mathematics

RAG

Agentic AI

AWS Deployment

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Learn the Tools Used Across Modern Data & AI Teams

SQL

SQL

NumPy

NumPy

Pandas

Pandas

Scikit-Learn

Scikit-Learn

XGBoost / LightGBM

XGBoost / LightGBM

PyTorch / Keras

PyTorch / Keras

Hugging Face Transformers

Hugging Face Transformers

LangChain / CrewAI

LangChain / CrewAI

RAGAS

RAGAS

LangSmith

LangSmith

Amazon Bedrock

Amazon Bedrock

Streamlit

Streamlit

Git

Git

 GitHub

GitHub

ChromaDB

ChromaDB

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Earn Certifications that Matter

  • Certification icon

    Certificate from I-DAPT Foundation, IIT (BHU) Varanasi

    Earn a certificate from I-DAPT Foundation, IIT (BHU) Varanasi on completing the program.

  • Certification icon

    Build a Job-Ready AI Portfolio

    Complete the training with 8+ GitHub repositories, 5 live AI applications and 2 flagship projects that demonstrate practical Data Science, RAG and Agentic AI capabilities.

  • Certification icon

    AWS Certification Support

    Receive an official AWS certification exam voucher with guided preparation

Certificate
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Data Science & GenAI Course Curriculum

Download Full Curriculum
  • Data Science Foundation & Environment Setup
  • 10 Hours

Set up your development environment and establish the programming, tooling and account foundations required for the program.

Topics Covered
  • Python basics
  • Jupyter
  • Google Colab
  • GitHub
  • APIs
  • AWS accounts
  • Development environment
Skills Acquired
    Environment Setup Python Foundations GitHub Cloud & API Readiness
  • Python Programming Foundations
  • 18 Hours

Build the programming foundation required for Data Science and AI development.

Topics Covered
  • Python
  • Functions
  • OOP
  • APIs
  • File Handling
  • Exceptions
  • Packages
Skills Acquired
    Modular Python Programming Fundamentals API Integration Defensive Coding
  • SQL for Data Analysis
  • 12 Hours

Learn to work with relational databases and answer business questions using analytical SQL.

Topics Covered
  • SQL
  • Joins
  • CTEs
  • Window Functions
  • Database-to-Python Workflows
Skills Acquired
    Data Querying Analytical SQL Database Analysis Python-SQL Integration
  • Math Foundations for Machine Learning
  • 8 Hours

Understand the mathematics behind Machine Learning models and AI systems.

Topics Covered
  • Statistics
  • Probability
  • Linear Algebra
  • Gradients
  • Optimisation
Skills Acquired
    Statistical Reasoning Probability Vectors & Matrices ML Foundations
  • Git, GitHub & Deployment
  • 10 Hours

Learn how to build, document and deploy projects while developing a professional GitHub portfolio.

Topics Covered
  • Git
  • GitHub
  • Branching
  • Pull Request
  • Portfolio Development
  • Streamlit
  • Hugging Face
Skills Acquired
    Version Control Collaboration Deployment Portfolio Development
  • Python for Data Science & EDA
  • 20 Hours

Turn raw datasets into meaningful analysis and interactive applications.

Topics Covered
  • NumPy
  • Pandas
  • Data Cleaning
  • Visualisation
  • EDA
  • Plotly
  • Streamlit
Skills Acquired
    Data Analysis Data Cleaning Exploratory Data Analysis Data Visualisation
  • Machine Learning
  • 24 Hours

Build, evaluate, tune and deploy Machine Learning models for real-world use cases.

Topics Covered
  • Regression
  • Classification
  • Clustering
  • XGBoost/ LightGBM
  • Model Tuning
  • SHAP
Skills Acquired
    ML Modelling Model Evaluation Feature Engineering Interpretability
  • Deep Learning
  • 12 Hours

Learn neural networks, computer vision, transfer learning and GPU-based training.

Topics Covered
  • Neural Networks
  • CNNs
  • Transfer Learning
  • PyTorch / Keras
  • GPU Training
Skills Acquired
    Deep Learning Computer Vision Model Training GPU Acceleration
  • Generative AI & LLM Engineering
  • 14 Hours

Learn how modern LLM applications are designed, developed and deployed.

Topics Covered
  • LLMs
  • Transformers
  • Prompting
  • APIs
  • Embeddings
  • Vector Stores
Skills Acquired
    LLM Engineering Prompt Design Embeddings Vector Search
  • RAG Engineering
  • 12 Hours

Build and evaluate production-oriented Retrieval Augmented Generation systems.

Topics Covered
  • Ingestion
  • Chunking
  • Hybrid Retrieval
  • Reranking
  • Citations
  • RAGAS
Skills Acquired
    RAG Development Retrieval Engineering Evaluation Grounded Generation
  • Agentic AI
  • 14 Hours

Build multi-agent AI systems using tools, memory, orchestration and human oversight.

Topics Covered
  • Agents
  • Tools
  • LangGraph
  • CrewAI
  • Memory
  • Human-in-the-Loop
  • Guardrails
  • Observability
Skills Acquired
    Agent Design Tool Calling Multi-Agent Systems AI Safety Observability
  • Generative AI on AWS
  • 10 Hours

Build Generative AI workloads using managed AWS services.

Topics Covered
  • Amazon Bedrock
  • Knowledge Bases
  • Agents
  • Guardrails
  • S3
  • IAM
  • Lambda
Skills Acquired
    Cloud AI AWS Bedrock Managed RAG AI Security Deployment
  • Capstone & Portfolio Studio
  • 16 Hours

Harden, deploy, document and present your flagship projects while preparing your professional portfolio.

Topics Covered
  • Project hardening
  • Deployment
  • Documentation
  • GitHub portfolio
  • Resume and LinkedIn
  • Demo videos
  • Demo Day
Skills Acquired
    Harden builds Deploy and host Document clearly Structure a GitHub Position projects Record demos Present and defend

Build Real-World Data Science & AI Projects

Step beyond just learning concepts. Build, deploy and showcase applications that demonstrate what you can do.

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8+ GitHub Repositories

Practice icon

5 Live AI Applications

Practice icon

2 Flagship Projects

Enterprise Knowledge & Policy Assistant — RAG

Build a grounded knowledge assistant that works with enterprise documents, retrieves relevant information, generates cited answers and evaluates retrieval quality using RAGAS

Business Insights Analyst — Agentic AI

Build a multi-agent system that can research information, query data, analyse trends, draft reports, critique outputs and pause for human approval.

Five Deployed AI Applications — Full Stack

Build and deploy five publicly hosted applications across EDA, Machine Learning, Deep Learning, RAG and Agentic AI, all running under your own name.

Career Support That Goes Beyond Training

Portfolio Development

Resume Strategy

LinkedIn Profile Preparation

Mock Technical Interviews

Guaranteed Interviews Opportunities

Job Search Guidance

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Top Companies Are Hiring GenAI & Data Science Talent

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Interested in this Program? Secure your spot now!

The application is free and takes only less than a minute to complete.

Hear from our Learners

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Industry-aligned training with strong placement support

I enrolled in the Cloud and DevOps training program and the curriculum was aligned with real-world industry standards, with hands-on projects. The placement team provided outstanding support in securing job opportunities. Special thanks to Harish for his guidance throughout the process.

LinkedIn
Anchal Jemti
Anchal Jemti

Cloud Engineer

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Industry-ready learning with excellent placement guidance

I joined the Cloud and DevOps training program to enhance my skills. The curriculum matched industry requirements and included hands-on experience. The placement team provided excellent support in finding opportunities. Special regards to Harish and CEO Bhavesh for building such a powerful platform.

LinkedIn
Rohith Prajwal
Rohith Prajwal

Cloud & DevOps Intern

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Well-organized training with knowledgeable instructors

I had a fantastic experience with CloudThat. The training was well organized and the instructors were knowledgeable and supportive. I learned a lot about cloud technologies and now feel more confident using them. Hands-on exposure to AWS tools like EC2, S3, and Lambda gave me a strong technical edge.

LinkedIn
Rajshekar Patil
Rajshekar Patil

DevOps Engineer

Quote icon

Hands-on curriculum with strong placement support

I enrolled in the Cloud and DevOps training program where the curriculum aligned with real-world standards and included hands-on projects. The placement team helped me secure opportunities. Thanks to Harish for guidance and Bhavesh for creating such an impactful platform

LinkedIn
Lalitha Venkata Krishna
Lalitha Venkata Krishna

DevOps Intern

Inside the Classroom Experience

Who Is This Data Science Program For?

  • IT Professionals with 3+ Years of Experience

    Upskill or transition into Data Science, Machine Learning and GenAI roles

  • Career Switchers

    Build the technical foundation and portfolio needed to move into Data Science and AI

  • Fresh Graduates (B.Tech / BCA / MCA)

    Develop job-ready skills and practical experience to start your Data Science career

  • Aspiring Data Scientists

    Build skills for Data Scientist roles

  • Aspiring Data Analysts

    Develop SQL, Python, and analytics skills

  • AI Enthusiasts

    Build practical skills across modern AI

Professional woman

Start Your Data Science Journey in 3 Steps

Submit your application and complete the eligibility and counselling process. Once selected, complete enrolment and begin your journey through the program.

Admission step icon
Apply & Complete Eligibility

Register online, submit your application, and complete the counselling and eligibility process.

Admission step icon
Reserve Your Seat

Complete the fee payment and receive your batch confirmation.

Admission step icon
Start Learning

Get LMS access and begin your live weekend learning journey.

Program Fee & Payment Options

Flexible instalment options are available to help eligible learners pursue this comprehensive data science and AI course.

Early Bird Offer

₹1,27,499 + GST

15% off, subject to applicable terms and conditions.

Flexible Payment Options Installment/EMI options available.

₹1,49,999 + GST

Join the program and gain access to comprehensive training, projects, and career support. Flexible payment options available, starting at Rs. 4,999/month (EMI)

Financing Partners
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Admission Close Date: 5 Oct Apply Now

Become a Job-Ready GenAI Data Scientist

Build your capabilities through hands-on Data Science and AI projects, live deployment, portfolio development and mentorship from IIT BHU faculty and CloudThat GenAI experts.

Apply Now

Frequently Asked Questions – Generative AI Data Science

The program is designed for IT professionals with 3+ years of experience, career switchers and fresh graduates who want to build practical skills and pursue careers in Data Science, Machine Learning and Generative AI.
Eligible learners who meet the specified program requirements, including applicable assessment and attendance requirements, are eligible for guaranteed interview opportunities, subject to the program's terms and conditions.
Yes. The program is delivered as a live instructor-led weekend program, making it suitable for working professionals who want to build Data Science and AI skills alongside their current commitments
Learners should have basic computer skills, basic mathematics and logical reasoning, along with a willingness to learn programming. A personal laptop/desktop and internet connectivity are required.
Yes. The program begins with programming and data foundations before progressing to Machine Learning, Deep Learning, Generative AI, RAG and Agentic AI.
Yes. The program builds foundational skills in Python, SQL, statistics, Data Science and Machine Learning, followed by hands-on AI projects and portfolio development.
The program runs for 7 months and includes approximately 180+ hours of instructor-led learning, hands-on labs and project work.
Yes. The program includes live instructor-led sessions, guided labs and project studio work.
Yes. The program begins with a mandatory prerequisite foundation covering environment setup, Python basics, GitHub, APIs and other essential tools before progressing into Data Science, Machine Learning and AI.
A structured foundation in programming, SQL, statistics, Data Science and Machine Learning is a starting point. This program additionally focuses on building a public portfolio of GitHub repositories and live AI applications so learners can demonstrate their skills to potential employers.
The program is delivered through live instructor-led sessions with guided labs and project studio work, making it suitable for learners seeking structured online learning while developing practical projects.
Yes. The curriculum covers the progression from Data Science and Machine Learning to Deep Learning, Generative AI, RAG, Agentic AI and AWS-based AI workloads.
Yes. Python programming and SQL for data analysis are foundational parts of the curriculum.
Yes. The Machine Learning module covers regression, classification, clustering, XGBoost/LightGBM, model evaluation, hyperparameter tuning and SHAP.
Yes. Learners study LLMs, Transformers, prompting, embeddings, vector stores, RAG and Generative AI applications.
Yes. The Agentic AI module covers agents, tools, LangGraph, CrewAI, memory, human-in-the-loop controls, guardrails and observability.
Yes. Learners build a production-oriented RAG system covering ingestion, chunking, hybrid retrieval, reranking, citations and RAGAS evaluation.
Yes. Learners build five live AI applications, 8+ GitHub repositories and two flagship projects: an Enterprise Knowledge & Policy Assistant using RAG and an Autonomous Market & Business Insights Analyst using Agentic AI.
Potential roles include Junior Data Scientist, Associate Data Scientist, Data Analyst, Junior ML Engineer, AI Engineer, Generative AI Engineer, AI Application Developer, RAG/LLM Developer and Junior Agentic AI Developer.
Yes. Career support includes portfolio development, resume preparation, LinkedIn profile preparation, mock technical interviews, and job search guidance.
Learners receive a certificate from I-DAPT Foundation, IIT (BHU) Varanasi, subject to successful completion and applicable program requirements.
The total program fee is ₹1,49,999, with interest free easy monthly instalment options available.
Yes. The program includes 10 hours of Generative AI on AWS, covering Amazon Bedrock, Knowledge Bases, Agents and Guardrails.
Yes. Portfolio development is a core part of the program. Learners graduate with a GitHub profile, 8+ repositories and five live application URLs.
The program includes Python for Data Science, SQL for Data Analysis, data cleaning, EDA, visualisation and Machine Learning. These foundations can help learners build skills relevant to Data Analyst roles while also progressing into AI and advanced Data Science.
A traditional data analyst course may focus primarily on SQL, spreadsheets, dashboards and reporting. This program begins with data analysis foundations but progresses into Machine Learning, Deep Learning, Generative AI, RAG, Agentic AI and cloud deployment, giving learners a broader technical pathway.
The program is designed for learners who want more than analytics alone. Alongside data analysis skills, it provides a pathway into Machine Learning, Generative AI and Agentic AI, making it suitable for learners who want to progress beyond traditional analytics roles.