Sarvam AI Course for Beginners & Developers | 90% Practical

Name: Sarvam AI Course for Beginners & Developers | 90% Practical
Rating: 4.9 (6 reviews)

Build AI chatbots, voice agents, translation and text-to-speech apps using Sarvam AI, Python, and LiveKit.

Created byLoop Kaka

Last updated 5/2026

English

English [Auto],

What you'll learn

Understand what Sarvam AI is and why it is important
Explore the Sarvam AI platform and playground
Generate and use Sarvam AI API keys
Read and understand Sarvam AI documentation
Build AI chatbots using Sarvam AI
Implement Text-to-Speech applications
Use REST APIs and Streaming APIs
Build translation applications using Sarvam AI
Understand how Voice Agents work
Build scalable Voice AI applications using LiveKit
Integrate Python applications with Sarvam AI APIs
Build real-world AI projects confidently

Course content

7 sections • 28 lectures • 2h 22m total length

Introduction6:57
Begin the Sarvam AI course for beginners and developers with five chapters covering a terminal chatbot, text-to-speech, translation, and a voice agent. The course emphasizes 90% hands-on coding in Python.

Chapter 1 Introduction0:22
Discover what Sarbam AI is and why it matters for the Indian market, explore the Sarbam AI website and documentation, and set up your Python project for the course.
What is Sarvam AI4:29
Explore Sarvam AI, India's full stack sovereign AI platform trained on Indian languages and culture, offering 22+ languages with speech-to-text, text-to-speech, vision, translation, video dubbing, and conversational agents.
Explore Sarvam AI Website13:10
Generate Sarvam AI API Key1:45
Learn how to generate and manage a Sarvam AI API key, create and rename keys, securely store them, and understand usage and security considerations.
Project Setup3:19
Explore Sarvam AI Documentation2:28
Explore the Sarvam AI documentation to learn quick start steps, Python and JavaScript libraries, models, rate limits, free credits, pricing, and support options.

Chapter 2 Introduction0:21
Demo1:06
Extract sarvam_ai_udemy.zip file
cd sarvam_ai_udemy
Create Virtual Environment:
python3 -m venv venv
Activate Virtual Environment:
mac - source venv/bin/activate
windows - venv\Scripts\activate
Install Dependencies:
pip install -r requirements.txt
Run Chatbot Applications
python chatbot_project/chatbot.py
python chatbot_project/chatbot_role.py
Build simple chatbot11:30
build a simple chatbot using the serbam.ai python library, selecting the serbam.30b chart compilation model, loading the api key from .env, and running an interactive loop.
Complete chatbot implementation16:29

Chapter 3 Introduction0:19
Demo0:50
Extract sarvam_ai_udemy.zip file
cd sarvam_ai_udemy
Create Virtual Environment:
python3 -m venv venv
Activate Virtual Environment:
mac - source venv/bin/activate
windows - venv\Scripts\activate
Install Dependencies:
pip install -r requirements.txt
Run Text-to-Speech Applications
python TTS/tts.py
python TTS/tts_stream.py
Explore Text-to-Speech documentation5:49
Explore text-to-speech with Bulbul v3, covering REST and streaming APIs, 30+ voices, 11 languages including Hindi, Bengali, Tamil, Telugu, 2,500 character limit, and pronunciation controls in practice.
Build Text-to-Speech app using REST API12:39
Build a text-to-speech app with the Servam AI REST API and Bulbul v3. Convert input text to audio, choose voices and languages, and save or play the mp3 in Python.
Build Text-to-Speech app using Streaming API9:26
Build a text-to-speech app using the Sarvam AI streaming API, processing chunks with convert stream, composing audio, and saving as an mp3.

Chapter 4 Introduction0:20
Learn to build a terminal-based translation app using Sarvam AI text processing and translate text between languages with AI.
Demo1:43
Extract sarvam_ai_udemy.zip file
cd sarvam_ai_udemy
Create Virtual Environment:
python3 -m venv venv
Activate Virtual Environment:
mac - source venv/bin/activate
windows - venv\Scripts\activate
Install Dependencies:
pip install -r requirements.txt
Run Translation Applications
python text_processing/translation.py
python text_processing/translation_app.py
Build simple translation application6:26
Build a simple terminal-based translation app using servam translate in python, loading API keys from .env and translating English to Hindi (and other moria languages), with code examples.
Build terminal-based translation app12:55
Build a terminal-based translation app by prompting for source and target languages and text, looping for continuation, validating language codes, and displaying translated output.

Chapter 5 Introduction0:20
Build a voice agent using LiveKit and Sarvam AI while exploring how voice agents work and how LiveKit enables scalable voice AI applications.
Demo1:27
Extract sarvam_ai_udemy.zip file
cd sarvam_ai_udemy
Create Virtual Environment:
python3 -m venv venv
Activate Virtual Environment:
mac - source venv/bin/activate
windows - venv\Scripts\activate
Install Dependencies:
pip install -r requirements.txt
Run Voice Agent Application
Terminal 1 — Start Agent: python livekit_agent/agent.py dev
Terminal 2 — Start Client: python livekit_agent/agent.py console
Understand how Voice Agents work7:51
Understand the end-to-end voice agent flow from mic input to speaker output, via speech-to-text, LLM processing, and text-to-speech, with models like Saras V3 and Bulbul V3.
Understand how LiveKit helps build scalable Voice Agents1:46
Discover how LiveKit enables real-time voice connections for scalable voice agents by hosting audio in a LiveKit room, handling calls, users, and networking, from speech to text to speech.
Generate LiveKit API Keys3:13
Learn how to generate LiveKit API keys by signing into the LiveKit platform, creating a project, and copying keys to configure your environment for building an AI voice agent.
Implement VoiceAgent class using LiveKit8:58
Complete Voice Agent workflow5:48

Requirements

Basic Python programming knowledge
VS Code installed on their system
Python 3 installed
Internet connection
Interest in AI and application development

Description

Welcome to the LoopKaka Sarvam AI Course

In this course, you will learn how to build real-world AI applications using Sarvam AI, India’s AI platform designed for Indian languages and regional use cases.

This course is beginner-friendly and explained in a simple and practical way.

We will start from the basics of Sarvam AI and gradually move towards building practical AI applications using Python.

During this course, you will learn how to:

- Generate Sarvam AI API Keys
- Explore Sarvam AI Documentation
- Build AI Chatbots
- Create Text-to-Speech Applications
- Build Translation Applications
- Work with Streaming APIs
- Understand Voice Agent Architecture
- Build Scalable Voice Agents using LiveKit
- Integrate Sarvam AI APIs with Python

This is not a theory course. You will learn Sarvam AI through practical implementation with 90% hands-on coding.

You will build multiple real-world projects step by step.

You will also learn how modern AI applications work behind the scenes and how developers integrate AI APIs into real software products. The course focuses on practical learning so you can gain confidence while building your own AI applications.

By the end of this course, you will have a strong understanding of how to use Sarvam AI for building modern AI-powered applications.

Thank you so much for joining this course

Who this course is for:

Beginners who want to learn AI development
Python developers
Students interested in AI applications
Developers who want to build Voice AI systems
Anyone interested in Sarvam AI
Developers who want to build AI applications for Indian languages
Software engineers exploring AI technologies
Learners who prefer practical project-based learning

Sarvam AI Course for Beginners & Developers | 90% Practical

What you'll learn

Explore related topics

Course content

Course Introduction1 lecture • 7min

Chapter 1 - Introduction to Sarvam AI6 lectures • 26min

Chapter 2 - Build AI Chatbot Using Sarvam AI4 lectures • 29min

Chapter 3 - Build Text-to-Speech Applications5 lectures • 29min

Chapter 4 - Build Translation Applications4 lectures • 21min

Chapter 5 - Build Voice Agent Using LiveKit7 lectures • 29min

Course Wrap Up1 lecture • 1min

Requirements

Description

Who this course is for: