Artificial Intelligence · KPHB, Hyderabad
AI Courses in KPHB, Hyderabad
The Data School in KPHB Colony, Kukatpally offers career-focused AI programs for every starting point — from Data Science + GenAI + Agentic AI for complete beginners to Generative AI + Agentic AI for learners ready to build.
- 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
Find the right AI course for you
- 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.
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 syllabusData 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 syllabusForward Deployed Engineer
Build, deploy and run AI solutions directly with customers — engineering, data, LLMs, agents, cloud and client communication.
11 modules · 66 topics
See syllabusAgentic 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 below.
- 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
- Students and freshers from Hyderabad colleges
- Software developers moving into AI
- Data professionals upskilling in LLMs and agents
- Working professionals planning a career 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 KPHB — 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.
Which AI course should I choose as a beginner?
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.
Do your AI courses include projects?
Yes. Every program builds towards portfolio projects, such as a RAG document assistant, a research agent or a recommendation engine.
Do you have a course for Forward Deployed Engineer roles?
Yes. Our Forward Deployed Engineer course covers Python, APIs, data pipelines, LLM apps, RAG, AI agents, Docker, cloud deployment and customer-facing solution design.
Where is The Data School's AI institute located?
4th Floor, MIG 549, Road Number 1, Above HDFC Bank, KPHB Colony, Kukatpally, Hyderabad — close to KPHB Metro, JNTU and Nizampet.
Are online AI classes available?
Yes. All programs are available as classroom training in KPHB, live online, or hybrid.
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
Start your journey in KPHB.
Speak with an advisor about the right program, learning modes, fees and upcoming batches.