Data Science + GenAI + Agentic AI · for Ameerpet learners
Ameerpet is where Hyderabad goes to learn tech — and our KPHB centre is a direct Metro Red Line ride away. Get a complete, project-based Data Science + GenAI + Agentic AI course with a published fee, or join the same classes live online.
Why The Data School
Board the Red Line at Ameerpet towards Miyapur and get off at KPHB Colony — no change of train. The centre is a short walk from the station.
You code in every session and get feedback on your work, rather than watching from the back of a crowded hall.
Python, statistics, SQL, machine learning, deep learning, NLP, generative AI and AI agents in one program.
One clear fee of ₹30,000. Attend a free demo class before you decide.
Our centre is in KPHB Colony, Kukatpally — not in Ameerpet — but it's easy to reach:
Ameerpet has many training centres, and quality varies. Whichever you consider, look for a published module-by-module syllabus, real coding in every class, portfolio projects, a clear total fee and a demo class with the actual trainer. Be cautious of guaranteed-job claims.
Our batches run Monday to Saturday, 9:30 AM – 11:30 AM or 11:30 AM – 1:30 PM, which suits learners who travel in from Ameerpet before or after the morning rush.
What you'll learn
The modules you'll cover, in order.
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
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
Explore datasets and communicate what you find with clear, honest charts.
The EDA workflow · Matplotlib · Seaborn · Distributions, correlations and outliers · Choosing the right chart
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
Query relational databases confidently to answer real business questions.
Relational concepts · SELECT, WHERE and ORDER BY · Aggregations and GROUP BY · Joins · Subqueries and CTEs
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
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
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
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
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
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
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
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
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
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
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
Who it's for
Outcomes depend on individual effort, background and the job market.
Visit us
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)
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.
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.
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.
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
Still unsure? An advisor is happy to help.
No. Our centre is in KPHB Colony, Kukatpally (4th Floor, MIG 549, Road Number 1, Above HDFC Bank, KPHB Colony, Kukatpally, Hyderabad) — a direct Red Line Metro ride from Ameerpet towards Miyapur, getting off at KPHB Colony. Live online classes are also available.
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.
Yes. The same program runs live online and in hybrid mode.
Yes. It starts from Python basics — no prior coding is needed.
Yes. Book a free demo class at the KPHB centre or online.
Speak with an advisor about the right program, learning modes, fees and upcoming batches.
