Is experience in programming required to enroll for the Gen AI course?

Although some experience in programming (Python) would be helpful, it is not required. Generative AI Training in Hyderabad has beginner-level programming and data analysis courses.

How long does it take to complete the Gen AI course?

It will take about 3 to 6 months based on whether you take full-time or part-time tenure.

Does it have placement after course completion?

Yes, we provide end-to-end placement services like resume creation, mock interviews, and exposure to leading AI firms in Hyderabad.

What will I receive as a certificate after I finish the course?

You will receive a completion certificate from our college, and you also have the choice of receiving official certificates from bodies like Google or Microsoft.

Will I have an opportunity to work on live projects during the course?

Yes, it is supplemented with practical projects that allow you to develop skills for addressing actual AI problems. That is something you can develop to enhance your portfolio and be a better marketable candidate.

Is the Generative Ai Training in Hyderabad suitable for beginners?

Yes. The course starts with basic Generative AI and LLM concepts and then slowly moves towards advanced topics like RAG, fine-tuning and chatbot development.

Do I need prior knowledge of Generative AI?

No. You do not need to already be an expert in Gen AI. Basic computer and programming knowledge can make the learning easier.

Will there be practical sessions in the Generative Ai Course in Hyderabad?

Yes. The course includes practical work related to prompts, embeddings, RAG, chatbots, LangChain and AI application development.

Will I get a certificate after completing the course?

Yes. A course completion certificate is provided according to the institute's certification process.

Can working professionals join Gen Ai Training in Hyderabad?

Yes. Working professionals can also learn Gen AI and choose a batch that works for their schedule.

What will I learn in the Gen Ai Course in Hyderabad?

You can learn LLMs, prompt engineering, embeddings, RAG, fine-tuning, chat models, LangChain, chatbots and deployment.

Is coding required for Generative AI?

Coding knowledge is useful for building Gen AI applications. It becomes especially helpful when you start working with APIs, LangChain, RAG and application deployment.

What projects can I practise in Generative Ai Training in Hyderabad?

Projects can include AI chatbots, RAG applications, document question-answering systems, semantic search applications and AI assistants.

Who can join the Gen AI Training in Hyderabad?

Students, graduates, freshers, developers, data professionals, IT professionals and working professionals can join the training.

Is experience in programming required to enroll for the Gen AI course?

Although some experience in programming (Python) would be helpful, it is not required. Generative AI Training in Hyderabad has beginner-level programming and data analysis courses.

How long does it take to complete the Gen AI course?

It will take about 3 to 6 months based on whether you take full-time or part-time tenure.

Does it have placement after course completion?

Yes, we provide end-to-end placement services like resume creation, mock interviews, and exposure to leading AI firms in Hyderabad.

What will I receive as a certificate after I finish the course?

You will receive a completion certificate from our college, and you also have the choice of receiving official certificates from bodies like Google or Microsoft.

Will I have an opportunity to work on live projects during the course?

Yes, it is supplemented with practical projects that allow you to develop skills for addressing actual AI problems. That is something you can develop to enhance your portfolio and be a better marketable candidate.

Is the Generative Ai Training in Hyderabad suitable for beginners?

Yes. The course starts with basic Generative AI and LLM concepts and then slowly moves towards advanced topics like RAG, fine-tuning and chatbot development.

Do I need prior knowledge of Generative AI?

No. You do not need to already be an expert in Gen AI. Basic computer and programming knowledge can make the learning easier.

Will there be practical sessions in the Generative Ai Course in Hyderabad?

Yes. The course includes practical work related to prompts, embeddings, RAG, chatbots, LangChain and AI application development.

Will I get a certificate after completing the course?

Yes. A course completion certificate is provided according to the institute's certification process.

Can working professionals join Gen Ai Training in Hyderabad?

Yes. Working professionals can also learn Gen AI and choose a batch that works for their schedule.

What will I learn in the Gen Ai Course in Hyderabad?

You can learn LLMs, prompt engineering, embeddings, RAG, fine-tuning, chat models, LangChain, chatbots and deployment.

Is coding required for Generative AI?

Coding knowledge is useful for building Gen AI applications. It becomes especially helpful when you start working with APIs, LangChain, RAG and application deployment.

What projects can I practise in Generative Ai Training in Hyderabad?

Projects can include AI chatbots, RAG applications, document question-answering systems, semantic search applications and AI assistants.

Who can join the Gen AI Training in Hyderabad?

Students, graduates, freshers, developers, data professionals, IT professionals and working professionals can join the training.

Generative AI Training in Hyderabad

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Learn Generative AI concepts from experts and become an efficient IT enthusiast worldwide.

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The Gen Ai Course In Hyderabad is aimed to help students, freshers, working professionals, and people who want to understand about practical applications of Generative AI. The Generative AI Online Course includes many topics like AI tools, prompt writing, large language models, text generation, image generation, and AI applications in a very simple step-by-step process. In this course, students get an idea about how the input of the user is accepted by AI and then it produces output.
Through Gen Ai Training in Hyderabad, students can learn through practical sessions and take up activities based on the latest AI tools. The training program enables learners to know how Generative AI can be used in generating content, performing business operations, coding, data, and automation-related tasks.
The Generative Ai Course in Hyderabad emphasizes theoretical and practical aspects, which makes it possible for beginners to enroll even if they do not have any technical knowledge. On the other hand, those who prefer to learn in a practical way can go for Generative Ai Training in Hyderabad to gain knowledge about AI application in various job profiles.
What Can You Learn from the Course:
After completing the Gen AI Training in Hyderabad, you will be able to:

Understand the basic idea of Generative AI

Understand Large Language Models

Learn about LLM architectures

Understand encoders and decoders

Learn prompt engineering

Create better prompts

Understand few-shot prompting

Learn advanced prompting methods

Understand prompt injection

Learn about hallucination in AI

Understand grounded responses

Learn about tokens

Understand chat model parameters

Learn about temperature, top-k and top-p

Understand embeddings

Learn about semantic similarity

Understand Retrieval Augmented Generation

Learn how RAG pipelines work

Understand vector databases and vector search

Learn about fine-tuning

Understand pretrained models

Build chatbot applications

Work with LangChain

Add memory to chatbots

Connect chatbots with documents

Deploy Gen AI applications

Work on practical Gen AI projects

The main goal of the Generative AI Course in Hyderabad is to help learners understand how modern AI applications work.
The learning starts with Large Language Models and their basic architecture. After that, students learn prompting, embeddings, RAG, fine-tuning and chat models. Slowly, they move towards building useful Gen AI applications.
The course also focuses on practical learning. Students can learn how a chatbot takes a question, uses information, sends it to a model and gives an answer. They can also understand how documents can be added to a chatbot using RAG.
The course page also includes practical areas such as LangChain integration, chatbot memory, RAG with LangChain and deployment of chatbot applications.
Learning Objectives in Generative Ai Course in Hyderabad:
This training includes:

Introduction to Generative AI

Large Language Models

LLM architectures

Encoders

Decoders

Encoder-decoder models

Prompting

Prompt engineering

Few-shot prompting

In-context learning

Advanced prompting strategies

Prompt injection

AI hallucination

Groundedness

Attributability

Model training

Decoding

Greedy decoding

Temperature

LLM applications

Retrieval Augmented Generation

Code models

Multimodal AI

Language agents

Chat models

Tokens

Chat model parameters

Embeddings

Word embeddings

Sentence embeddings

Semantic similarity

Fine-tuning

Pretrained models

Vector search

Vector indexes

RAG pipelines

Chatbot development

LangChain

Prompt templates

Chains

Chatbot memory

Document retrieval

Model deployment

This Generative Ai Course in Hyderabad curriculum also covers OCI Generative AI, fine-tuning, RAG, vector search, LangChain, chatbot memory and deployment.

The Generative AI Training in Hyderabad is made for both learning and practice. Students do not only read about AI topics. They also get to work with different concepts used while building Gen AI applications.

Highlights of Gen Ai Course in Hyderabad:

Training from experienced trainers

Simple learning approach

Practical sessions

Easy course material

Industry-focused topics

Prompt engineering practice

LLM learning

RAG practice

Embedding concepts

Fine-tuning concepts

Chatbot development

LangChain practice

AI application development

Project work

Assignments

Doubt-clearing sessions

Mock interview preparation

Resume support

Certification support

Online classes

Classroom training

Weekday batches

Weekend batches

Gen Ai Training in Hyderabad course page also mentions online/offline learning, LMS access and career support.

The Generative Ai Training in Hyderabad is useful for students and working people who want to learn about the new side of Artificial Intelligence.
You do not have to be an AI expert before joining. Basic computer knowledge can help, but you can learn the Gen AI concepts step by step during the training.
Gen Ai Training in Hyderabad is suitable for:

College Students

Graduates

B.Tech Students

BCA Students

B.Sc. Students

Computer Science Students

Python Developers

Software Developers

Data Professionals

Software Engineers

Working Professionals

Freshers

IT Professionals

Career Switchers

The Generative AI Training in Hyderabad is good for people who want to know how tools like AI chatbots and other Gen AI applications work.

Gen Ai Course in Hyderabad is best for:

Students

Graduates

Freshers

Developers

Python Developers

Software Engineers

Data Professionals

IT Professionals

Working Professionals

Technology Professionals

Career Changers

People interested in Artificial Intelligence

Gen Ai Course in Hyderabad is being used in many types of work. It can help create text, answer questions, search information, generate content and build smart applications.
After learning Gen AI, you can work with areas such as:

Large Language Models

Prompt Engineering

Chatbots

RAG Applications

AI Assistants

Text Generation

Code Generation

AI Content Applications

Embeddings

Vector Search

Fine-tuning

AI Agents

Multimodal AI

NLP Applications

AI Application Development

The course curriculum specifically includes LLM applications, RAG, code models, multimodal learning and language agents.

Businesses have lots of data and many repeated tasks. Gen AI can help them work with information faster and create useful AI-based applications.

Faster Content Creation: Gen AI can create text and other content from simple instructions. This can save time for different teams.

Better Customer Support: AI chatbots can answer common customer questions and provide information quickly.

Working With Company Data: With RAG, an AI application can use information from documents and other data sources while answering questions.

Automation: Gen AI can help automate some repeated tasks like answering queries, creating drafts and finding information.

Better Software Applications: Developers can add Gen AI features to applications to make them more useful and interactive.

After completing the Generative Ai Training in Hyderabad, learners can explore different career paths in Artificial Intelligence and software development.
The exact job you get will depend on your skills, education, projects and experience. Gen AI knowledge can be useful in AI development, machine learning, data work, software development and AI product roles.
Job Roles You Can Opt For:

Generative AI Developer

AI Engineer

Machine Learning Engineer

AI Application Developer

Data Scientist

AI Product Manager

NLP Engineer

LLM Developer

AI Solutions Developer

AI Researcher

Prompt Engineer

Gen AI Application Developer

Generative Ai Training in Hyderabad course page lists roles such as Data Scientist, Machine Learning Engineer and AI Product Manager among the career options.

The Gen AI Training in Hyderabad covers different tools and concepts used for creating modern AI applications.

Large Language Models: Learn what LLMs are and how they are used in Generative AI applications.

Prompt Engineering: Learn how to write prompts properly so that AI models can give more useful responses.

Embeddings: Understand how text can be converted into numerical representations and used for similarity searches.

Retrieval Augmented Generation: Learn how RAG can connect an AI model with outside information and documents.

Fine-Tuning: Understand how pretrained models can be adjusted for specific requirements.

LangChain: Learn how LangChain can be used for building applications with models, prompts, chains and memory.

Vector Search: Understand how vector indexes and similarity searches can help retrieve relevant information.

Chatbots: Learn how to create chatbots and add features like memory and document-based answers.

OCI Generative AI: The course also includes OCI Generative AI services, pretrained models, fine-tuning and dedicated AI clusters.

The Generative AI Course in Hyderabad follows a practical approach where students can work on AI application projects.
Project Ideas:

Document Question Answering

RAG-Based Chatbot

Customer Support Chatbot

AI Content Generator

Text Summarization Application

AI Assistant

Semantic Search Application

Resume Question Answering System

Knowledge Base Chatbot

LangChain Chatbot

AI Application With Memory

Vector Search Application

Generative AI Application Deployment

These projects help students understand how different Gen AI concepts can come together in one application.

The Gen AI Training in Hyderabad focuses on learning by doing. Instead of only remembering definitions, students can practise how different Gen AI parts work together.
Practical Learning Activities:

Creating prompts

Testing different prompts

Working with LLMs

Using few-shot prompting

Understanding model responses

Working with tokens

Creating embeddings

Performing similarity searches

Building RAG pipelines

Connecting documents with AI models

Working with vector search

Creating chatbot applications

Using LangChain

Adding chatbot memory

Creating prompt templates

Connecting models and chains

Testing AI responses

Fine-tuning models

Creating AI applications

Deploying chatbot applications

The course curriculum includes practical demos for prompts, embeddings, RAG, LangChain, memory and chatbot deployment.

After completing the Generative AI Training in Hyderabad, learners can receive a course completion certificate based on the institute's certification process.
Along with certification support, the training may include:

Course completion certificate

Practice assignments

Project work

Mock interviews

Resume preparation

Interview preparation

Career guidance

Certification guidance

The Gen Ai Training in Hyderabad course page states that learners receive a certificate after completion and also mentions career resources and support.

A certificate is useful, but practical knowledge is also important. Projects can help you show what you actually know.

Salary after completing a Gen Ai Training in Hyderabad can be different for every person. It depends on skills, education, projects, job role, experience and company.
Generative Ai Course in Hyderabad page gives broad fresher salary examples such as:

AI Engineer 6 LPA to 10 LPA

Data Scientist 5 LPA to 8 LPA

Machine Learning Engineer 5 LPA to 9 LPA

AI Researcher 7 LPA to 12 LPA

AI Product Manager 7 LPA to 12 LPA

These are broad figures mentioned on the course page and should not be treated as a guaranteed salary.

Factors That Influence Salary:

Generative AI skills

LLM knowledge

Programming skills

Prompt engineering

RAG knowledge

Machine learning knowledge

Project experience

LangChain knowledge

AI application development

Fine-tuning knowledge

Problem-solving skills

Communication skills

Educational qualification

Work experience

Choosing a good training program can make learning Gen AI easier. The Generative AI Training in Hyderabad focuses on both concepts and practical work.
Students can learn how an AI application works from the beginning. This includes writing prompts, working with models, using documents with RAG, creating chatbots and deploying applications.
Reasons Why Students Choose Us:

Experienced trainers

Updated Gen AI topics

Simple teaching approach

Practical assignments

Project-based learning

Prompt engineering practice

LLM practice

RAG exercises

Embedding exercises

LangChain practice

Chatbot development

Fine-tuning concepts

Flexible batch timings

Weekday and weekend batches

Online and classroom training

Study material

Doubt-clearing sessions

Certification guidance

Resume support

Mock interviews

Placement assistance

Career guidance

Gen Ai Course in Hyderabad page also highlights industry-relevant training, practice-based learning, placement support and networking opportunities.

Generative Ai Course in Hyderabad is growing fast and it is being used in many software applications today. It is not only about chatting with an AI tool. There are many things working behind it, like LLMs, prompts, embeddings, RAG, fine-tuning, chatbots and vector search. The Gen AI Course in Hyderabad can help you understand these topics step by step. The Generative AI Course in Hyderabad also gives learners a chance to practise building AI applications using concepts such as prompt engineering, RAG, LangChain and chatbot development. With regular practice and project work, you can slowly become more comfortable with Gen AI and understand how these applications are actually made.

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CURRICULUM & PROJECTS

Generative AI Training Program

What is a Large Language Model

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Encoders and Decoders

Model Ontology

Encoders

Decoders

Encoders-Decoders

Architectures at a glance

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Affecting the distribution over Vocabulary

Prompting

Prompt Engineering

In-context Learning and Few-shot Prompting

Example Prompts

Advanced Prompting Strategies

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Prompt Injection

Memorization

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Training

Hardware Costs

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Decoding

Greedy Decoding

Non-Deterministic Decoding

Temperature

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Hallucination

Groundedness and Attributability

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Retrieval Augmented Generation

Code Models

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OCI Generative AI Service

How does OCI Generative AI service work

Pretrained Foundational Models

Fine-tuning

Dedicated AI Clusters

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Tokens

Pretrained Chat Models

Chat Model Parameters

Preamble Override

Temperature

Chat Model Parameters

Top k

Top p

Frequency and Presence Penalties

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Embeddings

Word Embeddings

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Prompt & Prompt Engineering

LLMs as next word predictors

Aligning LLMs to follow instructions

In-context Learning and Few-shot Prompting

Prompt Formats

Advanced Prompting Strategies

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Training LLMs from scratch with my data

In-context Learning / Few-shot Prompting

Fine-tuning a pretrained model

Fine-tuning Benefits

Retrieval Augmented Generation (RAG)

Customize LLMs with your data

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Fine-tuning and Inference

Fine-tuning workflow in OCI Generative AI

Inference workflow in OCI Generative AI

Dedicated AI Clusters

T-Few Fine-tuning

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Dedicated AI Cluster Units

Dedicated AI Cluster Units Sizing

Dedicated AI Clusters Sizing

Example Pricing

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Fine-tuning Configuration

Fine-tuning Parameters (T-Few)

Understanding Fine-tuning Results

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Dedicated GPU and RDMA Network

Model Endpoints

Customer Data and Model Isolation

Generative AI leverages OCI Security Services

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Retrieval Augmented Generation

RAG Framework

RAG Techniques

RAG Pipeline

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Chatbot Introduction

Demo Chatbot

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Chatbot Architecture

OCI Generative AI and LangChain Integration

LangChain Components

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LangChain Prompt, Model and Chain Interaction

LangChain Prompt Templates

String Prompt Template and PromptValue

Chat Prompt Template and PromptValue

LangChain Models

LangChain Models OCI Chat Models

LangChain Models OCI Embedding Models

LangChain Chains

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LangChain Memory

Memory

Memory Chat Messages

LangChain Memory Per User

Demo Memory

Demo Streamlitand Memory

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RAG with LangChain

Retrieval Augmented Generation (RAG) with LangChain

Read and Split Documents

Embed documents and store in the vector database

Retrieve documents and send as a context to the LLM

Demo RAG - Indexing

Demo RAG - Retrieval and Generation

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RAG Plus Memory

Adding chat history as context

Print of Response

Demo RAG Plus Memory and Tracing with LangSmith

Demo Evaluate Model using LangSmith

Chatbot Technical Architecture

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Deploy Chatbot to OCI Compute Instance (Virtual Machine)

Demo Deploy Chatbot to VM

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Deploy LangChain Application to Data Science as Model

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