Enable AI Academy
Login

Some AI basics helpful · Module 4 of the GenAI cohort

తెలుగులో AI ఏజెంట్లు నిర్మించండి

AI Agents Course in Telugu

Learn how AI agents work and build one yourself — in Telugu. From tool calls and MCP to multi-agent workflows that run real automations.
See the cohortAsk on WhatsApp
  • Hands-on agent project
  • Tool use + MCP
  • n8n automation
  • Telugu + English

An AI agents course in Telugu teaches you to build AI systems that plan tasks, call tools and complete multi-step work instead of just answering questions. At Enable AI Academy you learn tool calls, MCP, no-code agents with n8n and multi-agent collaboration, then build a Claude-powered agent application as a project.

Looking for fees? See our fees and plans.

What you will build

Every course at Enable AI Academy is project-first. You finish with work you can show, not just notes.

A tool-using agent

An agent that plans a task, calls tools and returns a finished output.

A multi-agent workflow

Several agents collaborating on one job, with a final integration step.

A deployed Claude-powered agent app

The capstone: an agent application with real automation behind it.

Syllabus

What is covered, module by module, with the outcome you should expect from each.
  1. 1

    Agent foundations

    Outcome: Understand what makes an agent different from a chatbot.

    • Chatbots vs agents: planning, memory and tools
    • Open-source LLMs, tool calls and MCP
    • Where agents work well — and where they fail
  2. 2

    Giving agents context

    Outcome: Ground your agent in real information.

    • RAG concepts, use cases and architecture
    • Vector databases with Pinecone and Chroma
    • Building context-aware AI that remembers
  3. 3

    No-code agents with n8n

    Outcome: Ship agents without writing a backend.

    • n8n workflow basics and AI nodes
    • Pre-built workflow templates and documentation
    • Triggers, tools and handling failures
  4. 4

    Multi-agent systems and the final project

    Outcome: Build and deploy a complete agent application.

    • Multi-agent collaboration and final integration
    • A Claude-powered agent application
    • Deploying agents that run on their own

Who this course is for

  • Students and fresh graduates
  • Working professionals
  • Business owners and entrepreneurs
  • Freelancers and creators
  • Homemakers restarting a career
  • Anyone who prefers to learn in Telugu

Tools you will use

The tools below are used in the course. Skills transfer — you are never locked to one platform.
  • Claude
  • n8n
  • Pinecone
  • Chroma
  • Hugging Face
  • Groq

AI ఏజెంట్లు అంటే ఏమిటి?

చాట్‌బాట్ మీరు అడిగిన దానికి సమాధానం ఇస్తుంది. కానీ AI ఏజెంట్ అంతకంటే ముందుకు వెళ్తుంది — పని ప్రణాళిక వేసుకుని, అవసరమైన టూల్స్‌ను వాడి, పూర్తి పనిని తానే చేసి చూపిస్తుంది. రాబోయే రోజుల్లో ఈ నైపుణ్యానికి చాలా డిమాండ్ ఉంటుంది.

ఈ కోర్సులో AI ఏజెంట్లు ఎలా పని చేస్తాయో తెలుగులో స్పష్టంగా నేర్చుకుంటారు. టూల్ కాల్స్, MCP, RAG, n8n ఆటోమేషన్ వంటి అంశాలను ప్రాక్టికల్‌గా ప్రయత్నించి, చివరికి మీ స్వంత AI ఏజెంట్ అప్లికేషన్‌ను తయారు చేస్తారు.

ఏజెంట్లను తయారు చేయడానికి పెద్ద కోడింగ్ అనుభవం అవసరం లేదు. నో-కోడ్ టూల్స్‌తో మొదలుపెట్టి, మీ ఆసక్తిని బట్టి లోతుగా వెళ్లవచ్చు. లైవ్ సెషన్లలో మీ సందేహాలను మెంటార్లను అడగవచ్చు.

Outcomes and certificate

On completing the cohort you receive a certificate of completion from Enable AI Academy, plus the project work above that you can share on LinkedIn, in your portfolio or with clients.
  • Practical skills you can apply the same week
  • Project work you can show to employers or clients
  • A certificate of completion you can share online
  • Lifetime access to the course content

Where AI agents are taught

AI agents and automation are Module 4 of our Generative AI cohort, building on the RAG and tool-call lessons in Module 3. Join the current cohort for the complete path, or message us on WhatsApp to be told about an agents-focused batch.

View Cohort 3 details · Fees and plans · Contact us

Frequently asked questions

Do I need coding to build AI agents?

Not to begin. We start with no-code agents in n8n, and you pick up the code you need while building the projects.

What is the difference between an AI agent and a chatbot?

A chatbot answers your message. An agent plans steps, uses tools such as search, databases or apps, and works towards a goal across multiple steps.

Which tools and models will I use?

n8n for workflows, Claude for the agent project, plus Pinecone or Chroma for retrieval and platforms such as Groq and Hugging Face.

What is MCP?

MCP (Model Context Protocol) is a standard way to let AI models connect to tools and data sources. You will use it in the cohort when working with tool calls.

Do I need to finish the earlier modules first?

It helps. Agents build on prompting and RAG, so we recommend the full cohort path. If you already know the basics, message us and we will advise.

Is there a certificate?

Certificates are issued for the cohort program. Check the cohort page for the current details.

Related courses and pages

1 month · 30+ hrs

Generative AI Course

Go from prompts to full AI apps, RAG chatbots and agents in one month.

Learn more

Starts with a free preview

AI Course for Beginners

A zero-to-builder path: prompting, AI tools, simple apps and automation.

Learn more

Module 1 of the GenAI cohort

Prompt Engineering Course

Write prompts and context that make any AI model give reliable, useful output.

Learn more

Start your AI Agents Course journey

Learn AI in your own language, build real projects and get live mentor support.

See Cohort 3WhatsApp us