Generative AI + Agentic AI · Hyderabad
Generative AI & Agentic AI Course in Hyderabad
Go beyond using ChatGPT. In this Generative AI + Agentic AI course at our KPHB, Kukatpally centre you learn how large language models work, write reliable prompts, build retrieval-augmented (RAG) applications — and then design AI agents that call tools and complete multi-step work.
- 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
Why learn Generative AI & Agentic AI with The Data School
- 01
Build, don't just prompt
Call LLM APIs, use tool calling and streaming, and build complete AI applications with a backend and a simple UI.
- 02
RAG done properly
Embeddings, vector search, chunking, re-ranking and citing sources — the patterns behind grounded, trustworthy AI answers.
- 03
Agents that get work done
Tool calling, agent workflows, memory and multi-agent systems, with evaluation and guardrails built in.
- 04
In Hyderabad's tech corridor
Learn in person in KPHB, close to Hitech City and Kondapur, or join live online.
What you'll learn
Generative AI + Agentic AI syllabus
From LLM foundations to portfolio-ready RAG and multi-agent projects.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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
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
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
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
Who it's for
Built for learners in Hyderabad
- Software developers who want to build LLM-powered features
- Data professionals moving into AI engineering
- B.Tech / MCA students with basic Python
- Technical professionals in Hyderabad's IT companies upskilling in AI
Tools & technologies
- LLMs
- Prompt Engineering
- Embeddings
- Vector Databases
- RAG
- APIs
- AI Agents
- Tool Calling
- Multi-Agent Systems
- Python
Roles these skills are relevant to
- Generative AI Engineer
- Agentic AI Engineer
- AI Application Developer
- AI Automation Engineer
Outcomes depend on individual effort, background and the job market.
Visit us
Generative 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)
Landmarks
- 4th Floor, MIG 549
- Road Number 1, KPHB Colony
- Above HDFC Bank
- Near Prime Hospitals
- Opposite GHMC Park
Getting here
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
Questions, answered
Still unsure? An advisor is happy to help.
Do I need Python for the Generative AI course?
Basic Python is recommended because you will build working applications. You don't need prior machine learning experience.
Does the course cover RAG and vector databases?
Yes. There are dedicated modules on embeddings, vector search and retrieval-augmented generation, including ingestion, re-ranking and citing sources.
Will I build Generative AI and Agentic AI projects?
Yes. You build portfolio-ready projects such as a RAG document assistant, a research agent and a multi-agent business assistant.
Is Agentic AI included in this course?
Yes. After the Generative AI modules, the course covers agent foundations, tool calling, agent workflows and memory, RAG + agents, multi-agent systems, and evaluation and guardrails.
Is the Generative AI course available online?
Yes. You can learn in the classroom at our KPHB centre (4th Floor, MIG 549, Road Number 1, Above HDFC Bank, KPHB Colony, Kukatpally, Hyderabad), live online, or in hybrid mode.
What is the course fee, and when do batches start?
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.
Courses near you
KPHB & Kukatpally
Hyderabad
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