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Career Program · KPHB, Hyderabad & Online

Agentic AI

Design AI agents that plan, act and get work done.

Learn to build agents that break down goals, call tools, remember context and coordinate with other agents — with the evaluation and guardrails production systems need.

  • Course fee ₹30,000
  • Batches 9:30 AM – 11:30 AM · 11:30 AM – 1:30 PM
  • 8 modules
  • 46 topics
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Agentic AI course at The Data School, KPHB, Hyderabad

What you will master

  • Explain how agents differ from chatbots
  • Build agents that call tools and APIs
  • Design reliable agent workflows
  • Add memory and context management
  • Combine retrieval with agents
Talk to an advisor
  • 8Modules
  • 46Topics covered
  • 6Learning outcomes
  • 8Tools & technologies
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Course Overview

What this program covers.

Learn to build agents that break down goals, call tools, remember context and coordinate with other agents — with the evaluation and guardrails production systems need.

Career relevance

Agentic systems are how AI moves from answering questions to completing work. Engineers who can design safe, observable agents are in growing demand.

Who it's for

Developers and AI practitioners who want to build agentic systems and AI automations.

Prerequisites

Python and basic familiarity with LLMs.

Learning outcomes

  • Explain how agents differ from chatbots
  • Build agents that call tools and APIs
  • Design reliable agent workflows
  • Add memory and context management
  • Combine retrieval with agents
  • Build and evaluate multi-agent systems with guardrails

Detailed Syllabus

8 modules. One clear path.

Every module, every topic. Expand a module to see exactly what you will learn.

8 modules · 46 topics

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

    What you will learn

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

Learning Experience

How you will learn.

  • Instructor-led learning

    Structured sessions that explain the why, not just the how.

  • Hands-on exercises

    Practise every concept in code as you learn it.

  • Assignments

    Reinforce each module with focused, reviewed work.

  • Applied practice

    Combine multiple skills to solve realistic problems.

  • Portfolio development

    Package your work so employers can see what you built.

  • Interview preparation

    Practise technical questions and project walkthroughs.

Tools & Technologies

The stack you will use.

  • AI Agents
  • Tool Calling
  • RAG
  • Workflows
  • Memory
  • Multi-Agent Systems
  • LLMs
  • Python

Projects

Projects you'll build.

Portfolio projects that bring the syllabus together — each ends with a GitHub repository you can show employers.

Agentic AI

AI Research Agent

Research means searching, reading and summarising many sources. This project builds an agent that plans a research task, gathers sources with tools and writes a structured summary.

What you'll build

  • Planner that breaks a question into steps
  • Search and page-reading tools
  • Memory of findings so far
  • Report writer with a source list
  • Guardrails limiting steps and cost

You'll leave with: Working research agent · GitHub repository with README · Sample research reports · Demo walkthrough

  • AI Agents
  • Tool Calling
  • Memory
  • Workflows
  • LLMs
  • Python

Agentic AI

Multi-Agent Business Assistant

Real business tasks need several skills at once. This project builds a team of specialised agents coordinated by a supervisor to complete multi-step tasks.

What you'll build

  • Supervisor agent that routes tasks
  • Specialist agents for research, data and writing
  • Shared memory and state
  • Tool access with permission limits
  • End-to-end run evaluation

You'll leave with: Working multi-agent system · GitHub repository with README · Evaluation results · Demo walkthrough

  • Multi-Agent Systems
  • Workflows
  • Tool Calling
  • RAG
  • Memory
  • LLMs

Career Outcomes

Roles this program prepares you for.

Relevant roles for the skills you will build. Outcomes depend on individual effort, background and the job market.

  • Agentic AI Engineer
  • AI Automation Engineer

FAQ

Questions, answered.

Still unsure? An advisor can walk you through the program.

Where should I start if I am new to agentic AI?

Start with Agentic AI Foundations once you are comfortable with Python and basic LLM use. If you are new to LLMs, the Generative AI program is a good first step.

Is the program project-based?

Yes. Every module is paired with hands-on exercises, and the program builds towards portfolio projects that you can publish on GitHub and discuss in interviews.

Do I need to know how to code?

Yes. Agents are built in code, so working Python knowledge and basic familiarity with LLMs are expected.

What learning modes are available?

Programs are designed around instructor-led learning. Talk to an advisor for the learning modes (online, classroom or hybrid) available for the next batch.

Does the program include interview preparation?

Yes. Interview preparation is part of the learning experience, covering technical questions, project walkthroughs and how to present your portfolio.

Where are agentic AI classes held?

Classroom sessions run at The Data School, 4th Floor, MIG 549, Road Number 1, Above HDFC Bank, KPHB Colony, Kukatpally, Hyderabad — close to KPHB Colony Metro station. Live online and hybrid options are also available.

Can I attend a free demo class for agentic AI?

Yes. Book a free demo class at our KPHB centre or online — there's no obligation to enrol. The centre is open Monday to Saturday, 9 AM to 9 PM.

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.

Learn Agentic AI near you

Classroom batches Monday–Saturday (9:30 AM – 11:30 AM or 11:30 AM – 1:30 PM) at Road Number 1, KPHB Colony, Kukatpally — plus live online and hybrid options. Course fee ₹30,000.

Ready to Start Your AI Career?

Course fee ₹30,000. Speak with an advisor about the Agentic AI program, learning modes and upcoming batch dates.

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