Skip to content
KPHB Colony, Kukatpally, Hyderabad Mon–Sat · 9 AM – 9 PM +91 96664 47822 Free demo class — book your seat

Artificial Intelligence · Hyderabad

AI Courses in Hyderabad

Career-focused AI programs for every starting point — Data Science + GenAI + Agentic AI for beginners, Generative AI + Agentic AI for builders, and Data Analytics + GenAI + Agentic AI for analysts. Learn at our KPHB, Kukatpally centre or live online from anywhere in Hyderabad.

  • 13 modules
  • 77 topics
  • Course fee ₹30,000
  • Batches 9:30 AM – 11:30 AM · 11:30 AM – 1:30 PM
  • Classroom · Online · Hybrid
  • KPHB Colony, Kukatpally

Why The Data School

Pick the AI course that matches where you are

  • 01

    New to coding?

    Start with Data Science + GenAI + Agentic AI. It begins with Python basics and builds up to machine learning, generative AI and AI agents.

  • 02

    Want to build with LLMs?

    Generative AI + Agentic AI covers prompt engineering, embeddings, vector search, RAG, AI apps and agents.

  • 03

    Ready for AI agents?

    Agentic AI teaches tool calling, workflows, memory, multi-agent systems and guardrails.

  • 04

    Working with business data?

    Data Analytics + GenAI + Agentic AI adds AI-assisted analysis and reporting agents to Excel, SQL, Python and Power BI.

Generative AI vs Agentic AI vs Machine Learning

Machine learning is about training models that learn patterns from data — predicting churn, detecting fraud, recognising images. Generative AI uses large language models to create text, code and answers, and RAG grounds those answers in your own documents. Agentic AI goes one step further: the model plans steps, calls tools and APIs, and completes multi-step tasks.

Most learners in Hyderabad start with either Data Science + GenAI + Agentic AI (if new to coding) or Generative AI + Agentic AI (if they already know Python). Developers who want a customer-facing role deploying AI in production choose the Forward Deployed Engineer course.

What you will build

Every AI program ends in portfolio projects you can demo, for example:

  • A RAG document assistant that answers questions from PDFs and cites its sources
  • A research agent that searches, reads and summarises with tool calling
  • A multi-agent business assistant with guardrails and evaluation
  • Machine learning models such as churn prediction or a recommendation engine

Classes across Hyderabad

Classroom batches run Monday to Saturday at KPHB Colony (9:30 AM – 11:30 AM or 11:30 AM – 1:30 PM), close to the KPHB Colony Metro station — a direct Red Line ride from Ameerpet and Miyapur, and an easy trip from Hitech City and Kondapur. Live online and hybrid batches suit learners elsewhere in the city.

Programs

Compare the programs

  • Generative AI + Agentic AI

    Build LLM apps with prompt engineering, embeddings and RAG — then design AI agents that use tools and run multi-step workflows.

    13 modules · 77 topics

    See syllabus
  • Data Science + GenAI + Agentic AI

    Master Python, statistics, SQL, machine learning and deep learning — then build LLM apps, RAG systems and AI agents.

    16 modules · 102 topics

    See syllabus
  • Forward Deployed Engineer

    Build, deploy and run AI solutions directly with customers — engineering, data, LLMs, agents, cloud and client communication.

    11 modules · 66 topics

    See syllabus
  • Agentic AI

    Design intelligent agents that reason, use tools and execute multi-step workflows.

    8 modules · 46 topics

    See syllabus

What you'll learn

Generative AI + Agentic AI syllabus

A look inside our most popular AI program. Compare all AI programs above.

  1. 01

    Generative AI Foundations

    Build an accurate mental model of what generative AI can and cannot do.

    What generative AI is · Transformers and LLMs at a high level · Tokens and context windows · Capabilities and limits · Hallucinations

  2. 02

    Prompt Engineering

    Write, test and reuse prompts that produce consistent, useful output.

    Prompt structure and roles · Zero-shot and few-shot prompting · Chain-of-thought · Structured outputs (JSON) · Iteration and testing

  3. 03

    LLM Application Patterns

    Learn the building blocks for integrating LLMs into software.

    Calling LLM APIs · System prompts and parameters · Chaining calls · Function / tool calling · Streaming

  4. 04

    Embeddings

    Represent meaning as vectors to power search and classification.

    What embeddings are · Generating embeddings via APIs · Similarity measures · Semantic search · Clustering and classification

  5. 05

    Vector Search

    Store and retrieve embeddings efficiently at application scale.

    Vector database overview · Indexing and nearest-neighbour search · Chunking strategies · Metadata filtering · Hybrid search

  6. 06

    Retrieval Augmented Generation

    Ground model answers in your own data and cite the sources.

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

  7. 07

    AI Application Development

    Design and ship a complete AI application with a backend and a simple UI.

    Designing an AI app · Backends with APIs · Simple UIs · Conversation memory · Configuration and secrets

  8. 08

    Agentic AI Foundations

    Understand what makes a system agentic and when agents are the right tool.

    Agents vs chatbots · The perceive-plan-act loop · Reasoning and planning patterns · Agent components · Use cases and limits

  9. 09

    Tool Calling

    Give agents safe, well-defined abilities to act in the world.

    Function calling · Tool schemas · External APIs · Database and search tools · Error handling

  10. 10

    Agent Workflows & Memory

    Structure multi-step work and help agents remember what matters.

    Workflows vs autonomous agents · Task decomposition · Retries, fallbacks and human-in-the-loop · State management · Short vs long-term memory

  11. 11

    RAG + Agents & Multi-Agent Systems

    Use retrieval as a tool and coordinate specialised agents on larger tasks.

    Retrieval as a tool · Query rewriting and routing · Roles and delegation patterns · Supervisor / worker designs · Agent communication and shared state

  12. 12

    Evaluation, Safety & Guardrails

    Measure quality and keep LLM apps and agents safe and cost-controlled.

    Evaluating LLM outputs and agent trajectories · Retrieval quality metrics and test sets · Prompt injection · Input / output guardrails and permission limits · Logging and observability

  13. 13

    GenAI + Agentic AI Projects

    Scope, build, evaluate and present portfolio-ready generative and agentic AI projects.

    Scoping · Building a RAG assistant · Research agent · Multi-agent business assistant · Documentation and demo

Full Generative AI + Agentic AI syllabus

Who it's for

Built for learners in Hyderabad

  • Students and freshers from Hyderabad colleges
  • Software developers moving into AI engineering
  • Data professionals upskilling in LLMs and agents
  • Working professionals planning a switch into AI

Tools & technologies

  • LLMs
  • Prompt Engineering
  • Embeddings
  • Vector Databases
  • RAG
  • APIs
  • AI Agents
  • Tool Calling
  • Multi-Agent Systems
  • Python
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • SQL
  • Scikit-learn

Roles these skills are relevant to

  • Generative AI Engineer
  • Agentic AI Engineer
  • AI Application Developer
  • AI Automation Engineer
  • Data Scientist
  • Machine Learning Engineer
  • Forward Deployed Engineer
  • AI Solutions Engineer
  • AI Deployment Engineer
  • Customer-facing AI Engineer

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

Visit us

AI 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

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.

Which AI course is best for beginners in Hyderabad?

If you are new to programming, start with Data Science + GenAI + Agentic AI — it begins with Python basics. If you know Python, Generative AI + Agentic AI is a strong first AI course.

What is the fee for AI courses 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.

Are AI classes available online?

Yes. Every program is available in our KPHB classroom, live online, or hybrid.

Do the AI courses include projects?

Yes. Each program builds towards portfolio projects such as a RAG assistant, a research agent or an ML model.

Where is The Data School located in Hyderabad?

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

Start your journey in KPHB.

Speak with an advisor about the right program, learning modes, fees and upcoming batches.

Chat on WhatsApp