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KPHB Colony, Kukatpally, Hyderabad Mon–Sat · 9 AM – 9 PM +91 96664 47822 Free demo class — book your seat
The Data School
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Data Science + GenAI + Agentic AI · Hyderabad

Data Science Course in Hyderabad — with Generative AI & Agentic AI

A complete, project-based Data Science course for learners across Hyderabad. Start with Python and statistics, master SQL, machine learning and deep learning, then build LLM apps, RAG systems and AI agents — in our KPHB classroom or live online from anywhere in the city.

  • 16 modules
  • 102 topics
  • Course fee ₹30,000
  • Batches 9:30 AM – 11:30 AM · 11:30 AM – 1:30 PM
  • Classroom · Online · Hybrid
  • KPHB Colony, Kukatpally
Book a Free Demo ClassTalk to an Advisor

Why The Data School

What makes our Data Science course different

  • 01

    One path, start to finish

    Python, statistics, SQL, machine learning, deep learning, NLP, generative AI and agentic AI — in the order you need them.

  • 02

    Built around projects

    Every module has hands-on exercises, and you finish with portfolio projects you can publish on GitHub and explain in interviews.

  • 03

    Clear, published fee

    One course fee of ₹30,000 for the full program — no hidden module charges. Attend a free demo class before you decide.

  • 04

    Reachable from all of Hyderabad

    Classroom on the Metro Red Line at KPHB Colony, plus live online batches for learners in Secunderabad, LB Nagar, Gachibowli and beyond.

How to choose a Data Science course in Hyderabad

Hyderabad has hundreds of training options, from Ameerpet coaching centres to online platforms. Before you pay, compare them on what you will actually be able to do at the end — not on slogans.

Ask every institute the same questions, and expect specific answers:

  • Is the full syllabus published, module by module, including machine learning, generative AI and AI agents?
  • How much of each class is hands-on coding versus slides?
  • Which portfolio projects will you build, and on what kind of data?
  • Is the total fee published, and what does it include?
  • Can you attend a demo class with the actual trainer before enrolling?
  • Are there honest answers about job outcomes — or guarantees that sound too good to be true?

Classroom in KPHB or live online — your choice

Classroom batches run Monday to Saturday at our KPHB Colony centre (9:30 AM – 11:30 AM or 11:30 AM – 1:30 PM). The centre is a short walk from KPHB Colony Metro station on the Red Line, so it's a direct ride from Miyapur, Ameerpet, Punjagutta and LB Nagar.

If travelling across the city isn't practical, join the same program live online with the same trainers and projects, or mix the two in hybrid mode.

Data Science careers in Hyderabad

Hyderabad is one of India's largest technology hubs, with global capability centres, product companies, start-ups and consulting firms all hiring for data skills. Common entry roles include Data Analyst, Junior Data Scientist and ML Analyst, and experienced professionals move into Data Scientist and ML Engineer roles.

We prepare you with interview practice and project walkthroughs. We don't promise jobs or salaries — outcomes depend on your effort, background and the market — but we make sure your skills and portfolio are ready for real interviews.

What you'll learn

Data Science + GenAI + Agentic AI syllabus

The modules you'll cover, in order. Open the full program page for every topic.

  1. 01

    Python for Data Science

    Learn the Python fundamentals you will use every day as a data professional.

    Installing Python and Jupyter · Variables, data types and operators · Conditionals and loops · Functions and modules · Lists, tuples, dictionaries and sets

  2. 02

    NumPy & Pandas

    Load, clean and reshape data efficiently with the core Python data libraries.

    NumPy arrays, indexing and broadcasting · Series and DataFrames · Loading CSV, Excel and JSON · Cleaning missing and duplicate data · Filtering, sorting and groupby

  3. 03

    Data Analysis & Visualization

    Explore datasets and communicate what you find with clear, honest charts.

    The EDA workflow · Matplotlib · Seaborn · Distributions, correlations and outliers · Choosing the right chart

  4. 04

    Statistics

    Build the statistical reasoning needed to draw reliable conclusions from data.

    Descriptive statistics · Probability and distributions · Sampling and the central limit theorem · Confidence intervals · Hypothesis testing and p-values

  5. 05

    SQL for Analytics

    Query relational databases confidently to answer real business questions.

    Relational concepts · SELECT, WHERE and ORDER BY · Aggregations and GROUP BY · Joins · Subqueries and CTEs

  6. 06

    Machine Learning

    Train, validate and compare your first supervised and unsupervised models.

    Supervised vs unsupervised learning · Linear and logistic regression · Decision trees and k-NN · Train/test split and cross-validation · Accuracy, precision, recall and RMSE

  7. 07

    Advanced Machine Learning

    Improve model performance with ensembles, better features and careful tuning.

    Random forests and gradient boosting · Feature engineering and selection · Hyperparameter tuning · Handling imbalanced data · PCA

  8. 08

    Deep Learning & AI Foundations

    Understand how neural networks learn and how they power modern AI.

    Neurons, layers and activations · Backpropagation and gradient descent · Building networks in PyTorch · Overfitting and regularisation · Intro to CNNs and sequence models

  9. 09

    Natural Language Processing

    Turn unstructured text into features, classifications and insights.

    Text preprocessing and tokenisation · Bag of words and TF-IDF · Word embeddings · Text classification and sentiment analysis · Named entity recognition

  10. 10

    Generative AI Foundations & Prompt Engineering

    Understand how large language models work and write prompts that produce reliable output.

    What generative AI is · Transformers and LLMs at a high level · Tokens, context windows and hallucinations · Zero-shot and few-shot prompting · Chain-of-thought

  11. 11

    LLM Applications, Embeddings & Vector Search

    Integrate LLMs into software and represent meaning as vectors to power search.

    Calling LLM APIs · System prompts and parameters · Function / tool calling · Embeddings and similarity · Vector databases and chunking

  12. 12

    Retrieval Augmented Generation (RAG)

    Ground model answers in your own data, and measure the quality of what comes back.

    RAG architecture · Ingestion pipelines · Retrieval and re-ranking · Context construction · Reducing hallucinations and citing sources

  13. 13

    Agentic AI Foundations & Tool Calling

    Understand what makes a system agentic and give agents safe abilities to act.

    Agents vs chatbots · The perceive-plan-act loop · Reasoning and planning patterns · Tool schemas and function calling · Calling external APIs and databases

  14. 14

    Agent Workflows, Memory & Multi-Agent Systems

    Structure multi-step work, manage memory and coordinate specialised agents.

    Workflows vs autonomous agents · Task decomposition, retries and fallbacks · Human-in-the-loop · Short and long-term memory · RAG as an agent tool

  15. 15

    AI Evaluation, Safety & Guardrails

    Keep generative and agentic systems measurable, safe and cost-controlled.

    Evaluating LLM and agent outputs · Test sets and success metrics · Prompt injection · Input / output guardrails · Logging and observability

  16. 16

    Portfolio Projects

    Bring everything together in end-to-end data science and AI projects you can show employers.

    Problem framing and data collection · Cleaning, EDA and modelling · Building a RAG assistant · Building an AI agent · Publishing to GitHub

Full Data Science + GenAI + Agentic AI syllabus

Who it's for

Built for learners in Hyderabad

  • Engineering, science and commerce graduates from Hyderabad colleges
  • Freshers looking for their first data role
  • IT and non-IT professionals planning a career switch
  • Analysts who want to move into machine learning and AI

Tools & technologies

  • Python
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • SQL
  • Scikit-learn
  • PyTorch
  • NLP
  • LLMs
  • Embeddings
  • Vector Databases
  • RAG
  • AI Agents

Roles these skills are relevant to

  • Data Scientist
  • Machine Learning Engineer
  • Generative AI Engineer
  • Agentic AI Engineer

Outcomes depend on individual effort, background and the job market.

Visit us

Data Science course in Hyderabad — classes in KPHB Colony, Kukatpally

Classroom training at our centre in KPHB Colony, Kukatpally — close to KPHB Metro, JNTU, Nizampet, Miyapur and Hitech City.

The Data School — KPHB, Hyderabad

4th Floor, MIG 549, Road Number 1, Above HDFC Bank, KPHB Colony Phase 2, Kukatpally, Hyderabad, Telangana 500072

Monday–Saturday, 9:00 AM – 9:00 PM (Sunday closed)

+91 96664 47822

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Landmarks

  • 4th Floor, MIG 549
  • Road Number 1, KPHB Colony
  • Above HDFC Bank
  • Near Prime Hospitals
  • Opposite GHMC Park

Getting here

  1. By Metro

    Take the Red Line (Miyapur – LB Nagar) to KPHB Colony station, then head to Road Number 1 in KPHB Colony. Look for HDFC Bank — our centre is in the same building, above the bank.

  2. From JNTU, Nizampet & Bachupally

    Come into KPHB Colony and take Road Number 1. The centre is above HDFC Bank, near Prime Hospitals and opposite GHMC Park.

  3. From Miyapur, Hitech City & Kondapur

    Travel towards Kukatpally / KPHB Colony and turn onto Road Number 1. Use “Get directions” for turn-by-turn navigation to our Google Maps listing.

  4. First visit?

    Call +91 96664 47822 before you set off and we'll guide you in. Open Monday–Saturday, 9:00 AM – 9:00 PM (Sunday closed).

FAQ

Questions, answered

Still unsure? An advisor is happy to help.

What is the fee for a Data Science course in Hyderabad at The Data School?

The course fee is ₹30,000. Classroom batches run Monday to Saturday, 9:30 AM – 11:30 AM or 11:30 AM – 1:30 PM. You can attend a free demo class first — book one online or call the centre, and an advisor will share the next start date.

Can I join the Data Science course online from anywhere in Hyderabad?

Yes. The program runs as classroom training at our KPHB centre, live online, or hybrid — the syllabus and projects are the same.

Is the Data Science course suitable for beginners?

Yes. It starts from Python basics and school-level maths, so freshers and non-IT graduates can follow every module.

Does the course include machine learning, Generative AI and Agentic AI?

Yes. Machine learning, deep learning and NLP are followed by modules on prompt engineering, LLM apps, embeddings and vector search, RAG, AI agents, multi-agent systems and guardrails.

Where is your Hyderabad centre?

4th Floor, MIG 549, Road Number 1, Above HDFC Bank, KPHB Colony, Kukatpally, Hyderabad — near KPHB Colony Metro station on the Red Line.

Do you offer placement support?

We provide interview preparation, mock interviews and portfolio guidance. We do not guarantee jobs or salaries.

Courses near you

KPHB & Kukatpally

Hyderabad

Ameerpet

Start your journey in KPHB.

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