Generative AI Training in Hyderabad

Brolly AI offers a three-month Generative AI Training in Hyderabad for students, freshers, working professionals, career switchers, developers and non-IT learners. The course covers Python foundations, prompt engineering, ChatGPT, Claude, Large Language Models (LLMs), APIs, Retrieval-Augmented Generation (RAG), LangChain, AI agents and live-project work through online, classroom and hybrid learning.

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Quick course information

Generative AI: quick course information
Course detailInformation
CourseGenerative AI
TrainersShaheda Tabassum
Trainer experience9+ years
Next batch25 November 2026, 8:30 AM IST: classroom (Hyderabad, offline) and online batches
Training modesClassroom training (Hyderabad), online training
Course duration3 months
Call us at+91 90521 44555
Email us atbrollyai.com@gmail.com
Demo class detailsClick here to chat on WhatsApp

Course highlights

  • 3-month structured program
  • Online, classroom and hybrid learning
  • Weekday and weekend batches
  • Live classes with recordings
  • Telugu, English and Hindi instruction support
  • Assignments, guided practice and live projects
  • Internship on live projects
  • Placement assistance and certification

Why Choose Brolly AI for Generative AI Training in Hyderabad?

  • A structured three-month learning program
  • Python foundations for beginners
  • Prompt engineering with ChatGPT and Claude
  • Practical learning with LLMs, APIs, RAG, LangChain and AI agents
  • Assignments, guided practice and live-project work
  • Online, classroom and hybrid learning options
  • Weekday and weekend batches
  • Live classes with recordings
  • Telugu, English and Hindi instruction support
  • Live-project internship, placement assistance and certification

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

Book a free demo

What You Will Learn in the Generative AI Course

Python Foundations

  • Essential Python concepts for beginners
  • Writing and running simple programs
  • Functions and reusable code
  • Working with application data
  • Preparing to use APIs
  • Python basics: introduction, installation on Google Colab or Jupyter, variables and constants, comments, primitive data types, type casting, string operations.
  • Data structures: lists, tuples, sets, dictionaries, list comprehension, match statement.
  • Control flow: if / elif / else, nested conditions, logical operators, for and while loops, break and continue.
  • Functions and advanced concepts: functions, lambda functions, map, filter, reduce, generators and iterators.
  • Object-oriented programming: class and object, __init__, inheritance, polymorphism, encapsulation and abstraction, static methods, access modifiers, method overriding.
  • Modules and exception handling: module creation, importing modules, exception handling, multithreading.
  • Python libraries: NumPy, Pandas, Matplotlib, Seaborn.
  • Project: To-Do application, plus mock tests and assignments.

Statistics & Probability

  • Statistics: data and types of data, population and sample, sampling methods, descriptive statistics (mean, median, mode, variance, standard deviation, distribution shape, graphical visualisation), inferential statistics (estimation of parameters, confidence intervals, hypothesis testing, t-test, ANOVA, chi-square, regression analysis, correlation and association).
  • Probability: trial and outcome, sample space, types of events, random variables, permutations and combinations, conditional probability, Bayes' theorem, probability distributions.

Machine Learning & Algorithms

  • Foundations: supervised, unsupervised and reinforcement learning, structured vs unstructured data, confusion matrix, model evaluation metrics.
  • Data preparation: data cleaning, missing values, outlier detection, feature scaling, train-test split.
  • Regression: linear regression, multiple regression, Ridge, Lasso and ElasticNet.
  • Classification: logistic regression, Naive Bayes, k-nearest neighbours, decision trees, random forest, boosting methods, support vector machines.
  • Feature engineering: feature creation and selection, dimensionality reduction with PCA and t-SNE, hyperparameter tuning.
  • NLP and text mining: text preprocessing, tokenisation, stopword removal, lemmatisation and stemming, bag of words, TF-IDF, text classification.
  • Capstone: an end-to-end machine learning project.

Deep Learning & Decision Sciences

  • Artificial neural networks, activation functions, backpropagation
  • Optimisers: SGD, Adam
  • Convolutional neural networks and transfer learning
  • Recurrent neural networks, LSTM and GRU
  • Generative Adversarial Networks and Variational Autoencoders
  • Transformer architecture and the attention mechanism
  • Pretrained models: BERT, GPT, Vision Transformers

Generative AI Fundamentals

  • What Generative AI is
  • Common types of Generative AI applications
  • How generated output should be reviewed
  • Practical limitations of model responses
  • Fundamentals: what Generative AI is, applications across text, image and code, introduction to LLMs, pre-training and fine-tuning, word embeddings.

Prompt Engineering with ChatGPT & Claude

  • Writing clear instructions
  • Adding context, constraints and output requirements
  • Testing and improving prompts
  • Comparing outputs against the task
  • Principles of effective prompting
  • Zero-shot and few-shot prompting
  • Chain-of-Thought prompting
  • Structured outputs in JSON and tables
  • Prompt optimisation and evaluation

Large Language Models

  • What an LLM does
  • How instructions and context affect a response
  • Common limitations of model-generated answers
  • How LLMs fit into an application workflow
  • Hugging Face: the Hub, pipelines, manual model loading, fine-tuning, model evaluation, deployment basics.

Generative AI APIs

  • What an API does
  • Sending a request to a model
  • Receiving and handling a response
  • Connecting a model to an application workflow
  • Basic testing and error handling

Retrieval-Augmented Generation

  • What RAG means
  • Why an application may need external knowledge
  • Retrieving relevant information before generation
  • Connecting approved information to an LLM workflow
  • Testing whether the generated answer is supported
  • RAG: architecture, vector databases (FAISS, Chroma), document loaders, embeddings, RAG Q&A chain, RAG evaluation.

LangChain & LangGraph

  • The role of LangChain in a Generative AI application
  • Connecting models, prompts, retrieval and tools
  • Organising multi-step workflows
  • Applying LangChain concepts through guided practice
  • LangChain: prompt templates, chains, output parsers, memory, agents.
  • LangGraph: graph-based control flow, nodes and edges, state management, conditional logic, human-in-the-loop.

AI Agents & MCP

  • What an AI agent is
  • How a model can use tools to work towards a goal
  • Building and reviewing multi-step workflows
  • Understanding the need for controls and human review
  • What Agentic AI is and how agent architecture works
  • Agent lifecycle: think → plan → act → observe
  • Chain-of-Thought and ReAct
  • LangChain agents and multi-agent systems
  • Model Context Protocol (MCP): architecture, servers and clients
  • Context and state management
  • Advanced applications: multi-turn chatbots, multi-tool agents, planning vs reactive agents.

Cloud & Enterprise AI Tools

  • Deploy and manage Generative AI solutions using modern platforms and tools: OpenAI and Hugging Face, TensorFlow and PyTorch, cloud-based AI deployment workflows and enterprise-grade AI toolchains.

Assignments, Live Projects & Capstone

  • Practice tasks across the core modules
  • Guided exercises for prompts, APIs, RAG, LangChain and agents
  • Applying multiple concepts in live-project work
  • Reviewing and explaining the completed work
Prompt Engineering courseChatGPT trainingClaude trainingHow RAG worksAgentic AI training

Generative AI Course Fees in Hyderabad

  • Online training

    ₹35,000

    • Lifetime video access
    • Basic to advanced Generative AI modules
    • Live interactive classes
    • Weekly mock interviews
    • Digital learning modules
    • Online practical labs
    • Flexible learning schedules
    • Placement assistance

  • Recommended: learn in person in Hyderabad

    Classroom training

    ₹40,000

    • 3 months structured classroom training
    • Expert Generative AI trainers
    • Real-time industry projects
    • One-on-one mentorship and lab support
    • Monthly mock interviews
    • Resume building and interview guidance
    • Covers advanced topics

  • Corporate training

    Custom quote

    • Customised training programs
    • Daily recordings
    • Expert instruction
    • Industry-relevant content
    • Performance monitoring
    • On-site workshops
    • 1 capstone project included
    Request a proposal

EMI options are available for online and classroom training. Contact the team to discuss the payment schedule.

See how you will learn.

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Generative AI Course in Hyderabad for Beginners and Professionals

Brolly AI’s Generative AI Course in Hyderabad takes learners from the basics of Python and Generative AI to practical work with prompts, LLMs, APIs, RAG, LangChain and AI agents. Beginners receive a structured starting point, while developers and experienced professionals can focus on applying these concepts to AI-powered applications and workflows.

This is a guided Generative AI Course with lessons, practice, assignments and live-project work. Learners do not have to understand every technical term before joining because the program starts with foundations and moves step by step towards application building.

Explore our AI training programs
Learners practising on laptops in a Brolly AI classroom
AI-generated illustration: a wide classroom view of learners exploring an ai agent workflow
AI-generated illustration: an over-the-shoulder view of learners comparing prompts on a laptop
AI-generated illustration: a side view of guided laptop practice in an ai classroom
AI-generated illustration: learners reviewing a draft and notes together at a desk
AI-generated illustration: an overhead view of a group discussing model deployment
AI-generated illustration: a classroom discussion around a connected ai workflow

Learning, from every angle.

Classroom photo and AI-generated illustrations.

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What Is Generative AI Training?

Generative AI training teaches learners how AI systems generate and work with content, how Large Language Models respond to instructions, and how models can be connected to applications, external information and tools. Brolly AI’s program combines these concepts with Python, prompting, APIs, RAG, LangChain, AI agents and project practice.

The course goes beyond using ChatGPT or Claude for basic questions. Learners understand how to give models clearer instructions, work with model responses, connect an LLM through an API and build workflows that use relevant information or tools.

  1. Give it direction

    Describe the task, provide useful context and set the limits of a good answer.

  2. Generate a first result

    Work with a model to create text, code, images or another supported output.

  3. Evaluate and improve

    Check accuracy and usefulness, refine the prompt and review the result before use.

See how you will learn.

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Where Is Generative AI Used?

  • E-commerce & retail

    Product descriptions, ad copy, automated customer support

  • IT & software

    Writing code, fixing bugs, building apps faster

  • Healthcare

    Patient data analysis, diagnosis support, drug discovery

  • Finance & banking

    Automated reports, fraud detection, customer queries

  • Education

    Notes, quizzes and personalised learning paths

  • Marketing & advertising

    Ads, social content and email campaigns

  • Media & entertainment

    Video, music, scripts and graphics

  • Real estate

    Property descriptions and price trend prediction

  • Travel & hospitality

    Destination suggestions and booking automation

  • Gaming

    Characters, environments and storylines

  • HR & recruitment

    Resume screening and hiring automation

  • Customer support

    24/7 automated responses

  • Social media

    Captions, hashtags and content ideas

  • Design & creativity

    Logos, UI designs and graphics

  • Startups & SaaS

    Landing pages, workflows and content

Why Choose a Career in Generative AI?

  • High demand in the job market

    Companies now use Generative AI tools in daily work. Growing need for skilled AI professionals. Openings increasing across industries.

  • Strong salary growth

    AI roles pay better than many entry-level jobs. Steady income growth for skilled professionals. AI experience raises long-term earning potential.

  • Opportunity to switch careers

    Move from a non-IT background with proper training. Build a new technical profile step by step. Dedication matters more than your previous degree.

  • Work on modern technology

    Learn how intelligent systems are built and used. Explore AI tools in business and technology. Apply the concepts in practical projects.

  • Practical and creative work

    Build systems that generate content and solve real problems. The work needs thinking, not repetition. You see direct results from what you create.

  • Long-term career stability

    AI is entering every industry, not just IT. AI skills stay valuable as technology evolves. Room to grow into senior roles over time.

See how you will learn.

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Who Can Learn Generative AI?

Students, freshers, working professionals, career switchers, developers and non-IT learners can learn Generative AI at Brolly AI. The program begins with Python and Generative AI foundations before moving to advanced application-building topics.

  • Students and Freshers

    Build a foundation in Python and Generative AI. Practise new concepts through guided tasks and assignments. Bring the topics together in live-project work as you progress through the course.

  • Working Professionals

    Explore Generative AI for research, knowledge access and software workflows. Apply the concepts through guided practice and project work. Choose weekday or weekend batches around your existing work responsibilities.

  • Career Switchers

    Start with Python and Generative AI foundations. Progress towards practical work with prompts, LLMs, APIs, RAG, LangChain and agents. Use assignments and live projects to apply the topics you learn.

  • Developers

    Learn how models, APIs, retrieval and tools work together. Explore their roles inside Generative AI applications and multi-step workflows. Apply these concepts through guided exercises and live-project work during training.

  • Non-IT Learners

    Begin with plain-language explanations and Python foundations. Build familiarity through guided practice before moving into technical application-building topics. Use the course assignments to practise and review each new concept.

Prerequisites for Generative AI Training

Wondering whether you need coding or AI experience before joining? At Brolly AI, our course starts with Python fundamentals and gradually introduces Machine Learning, Large Language Models (LLMs), RAG, and AI Agents.

What Knowledge Do You Need Before Joining?

  • Basic Computer Skills

    Familiarity with computers, browsers, and common software applications.

  • Programming Knowledge

    Prior Python experience is helpful but not mandatory, as the curriculum begins with Python Foundations.

  • AI & Machine Learning Knowledge

    Previous AI or ML experience is not required. The syllabus includes Statistics, Machine Learning, and Deep Learning fundamentals.

  • Learning Commitment

    Willingness to practise coding, complete assignments, and work on hands-on AI projects.

No prior Generative AI experience? You can start with foundational concepts and gradually progress to LLMs, RAG, LangChain, AI Agents, and practical applications.

See how you will learn.

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Is Generative AI Suitable for Beginners?

Yes. Brolly AI’s Generative AI training is suitable for beginners because Python foundations and core Generative AI concepts are taught before LLMs, APIs, RAG, LangChain and AI agents.

Beginners are supported, and practical application building includes coding. You start with the Python concepts needed for the later course modules.

Tools you will learn in our Generative AI course

  • Python

    The base language for every AI application you build

  • OpenAI GPT

    Integrate language models, build chatbots and automation tools

  • Hugging Face

    Pre-trained LLMs for text generation, summarisation and chatbots

  • LangChain

    Link models with workflows and data to build step-by-step AI agents

  • TensorFlow

    Build and train deep learning models, understand real AI systems

  • PyTorch

    Build neural networks and transformer models, test models easily

  • Pandas & NumPy

    Clean and prepare data, handle structured datasets confidently

  • Google Colab

    Run AI projects in the cloud without heavy local installs

  • Docker

    Package and deploy AI applications, learn deployment basics

Additional retrieval and workflow tools

  • FAISS

    Vector search for retrieving relevant information.

  • Chroma

    Vector search for retrieving relevant information.

  • LangGraph

    State and control flow for AI workflows.

  • Model Context Protocol

    A protocol for connecting AI applications to tools and context.

See how you will learn.

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Three-Month Learning Path

  1. Build the Foundation

    Learn Python basics, Generative AI fundamentals and the role of Large Language Models.

  2. Work with Models

    Practise prompt engineering with ChatGPT and Claude, then learn how applications communicate with models through APIs.

  3. Build Generative AI Workflows

    Learn RAG, LangChain and AI-agent concepts, then combine the course topics through assignments and live-project work.

This Gen AI Training in Hyderabad follows a beginner-to-application pathway so learners understand each component before combining it with the next one.

Practical Learning and Live Projects

The course includes assignments, guided practice and live-project work. Learners apply prompts, LLMs, APIs, RAG, LangChain and AI-agent concepts through practical exercises.

  1. Learn one concept.
  2. Practise it through a guided task.
  3. Review the result and improve it.
  4. Combine several concepts in live-project work.
  5. Explain how the completed workflow works.

Internship on Live Projects

The program includes an internship connected to live-project work. This gives learners another structured setting in which to apply the topics covered during training.

Explore Brolly AI’s software and AI projects

Real-time Generative AI projects with practical training in Hyderabad

  • AI-based resume screening system

    Python, NLP basics, Hugging Face models, prompt design.

  • Intelligent chatbot with memory

    OpenAI API, LangChain, conversation memory, API integration.

  • Document Q&A system (RAG)

    RAG concepts, vector database, embeddings, LLM integration.

  • AI content generation tool

    prompt engineering, LLM usage, output optimisation.

  • AI task automation workflow

    AI agents, workflow design, tool integration.

  • End-to-end AI application deployment

    model integration, basic deployment, environment setup.

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

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Skills Learners Can Build

Through lessons, guided practice and projects, learners can work towards the ability to:

  • explain the core ideas behind Generative AI and LLMs
  • write and improve prompts for defined tasks
  • use ChatGPT and Claude more purposefully
  • apply Python foundations in Generative AI work
  • connect a model to an application through an API
  • explain how RAG uses relevant external information
  • organise Generative AI workflows with LangChain
  • understand how AI agents use tools for multi-step tasks
  • test model responses before using them
  • explain the work completed during assignments and projects

Online, Classroom and Hybrid Learning

  • Classroom Training in Hyderabad

    Attend instructor-led sessions in Hyderabad with direct classroom support. Work through Python foundations and the Generative AI curriculum. Apply the topics through guided practice, assignments and live-project work.

  • Online Generative AI Training

    Join live Generative AI sessions remotely through the online learning option. Follow the curriculum through lessons, guided practice and assignments. Use class recordings to revisit topics as you progress.

  • Hybrid Generative AI Training

    Combine classroom and online participation through the hybrid learning option. Follow the course from Python foundations to Generative AI workflows. Apply the concepts through guided practice, assignments and projects.

Weekday and Weekend Batches

Weekday and weekend batches are available for learners managing college, work or other responsibilities.

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

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Training batch schedule

Training batch schedule
BatchDaysLearning modeNext session
Weekday batchWeekdaysClassroom or live onlineConfirm the next start date and class time
Weekend batchWeekendsClassroom or live onlineConfirm the next start date and class time

Choose a weekday or weekend batch. Contact the team for the next start date, exact timings and available seats before enrolling.

Learning Support in Telugu, English and Hindi

Brolly AI provides instruction support in Telugu, English and Hindi. Learners can understand the main ideas and ask questions in a supported language, while technical terms, code and tool interfaces may remain in English.

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

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Meet your course trainer

Shaheda Tabassum, Brolly AI trainer

Shaheda Tabassum

Generative AI Specialist & LLM Architect

9+ years in Artificial Intelligence, Machine Learning and Generative AI

Core expertise: Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, AI agents, NLP systems, Deep Learning, MLOps and cloud deployment on AWS.

Industry projects: LLM-based AI assistants, RAG-powered knowledge platforms, intelligent chatbots, fraud detection systems and predictive AI solutions for healthcare and manufacturing.

Teaching style: explains transformers, embeddings and AI agents in simple language, with hands-on coding and job-focused training.

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Placement Assistance and Certification

Placement Assistance

Brolly AI provides placement assistance as part of the training. Placement assistance is support and does not guarantee employment.

Course Certification

Certification is included with Brolly AI’s Generative AI course.

  • Generative AI Professional Certification
  • Large Language Model (LLM) & RAG Systems Certification
  • Prompt Engineering & AI Agents Certification
  • NLP & Text Intelligence Certification
  • AI Model Deployment & Cloud Integration Certification
  • Capstone Project & Portfolio Certification
Sample Brolly AI Generative AI training certificate of completion
A sample certificate of completion.

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Placement Support, Step by Step

  1. Resume building for Gen AI roles

    • Create an ATS-friendly resume
    • Highlight LLM projects, RAG systems and AI applications
    • Present your skills clearly for Generative AI jobs

  2. LinkedIn profile optimisation

    • Improve your profile for AI hiring searches
    • Add project details and Generative AI keywords
    • Build a professional AI portfolio presence

  3. Practical project portfolio

    • Complete real Generative AI projects
    • Build LLM-based applications
    • Develop RAG and AI agent workflows
    • Prepare GitHub-ready code samples

  4. Interview preparation

    • Practise common Generative AI interview questions
    • Understand LLM architecture and prompt engineering
    • Learn how to explain RAG systems clearly

  5. Mock interviews

    • Attend technical mock interviews
    • Get feedback from trainers
    • Improve communication and confidence

  6. Aptitude & communication training

    • Logical reasoning practice
    • Basic problem-solving
    • Presentation and confidence skills

  7. Internship & real-time exposure

    • Work on supervised Generative AI projects
    • Gain experience in LLM integration and AI automation
    • Strengthen your resume with real use cases

  8. Interview scheduling & job referrals

    • We connect you with companies hiring for Gen AI roles
    • Guidance on applying for LLM and AI developer positions

Generative AI Salary in Hyderabad

Indicative annual salary ranges. Actual offers vary with experience, skills, portfolio and employer; these figures are not a salary or placement promise.

Experience levelApproximate salaryRole context
Freshers (0–1 yr)₹6 – ₹12 LPAEntry roles such as AI Engineer, GenAI Developer and NLP Intern. A strong portfolio and hands-on projects raise offers significantly.
Mid-level (2–5 yrs)₹12 – ₹25 LPAProfessionals with Machine Learning, LLM and MLOps expertise. Roles include Generative AI Engineer, MLOps Engineer and Data Scientist.
Senior (5+ yrs)₹25 – ₹50 LPA+Senior AI Engineer, AI Consultant and AI Product Manager. Enterprise AI and cloud experience drive the higher end.
Average AI engineer (Hyderabad)~₹12.5 LPAAverage base salary across IT, healthcare and e-commerce in Hyderabad.

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Career Opportunities After the Generative AI Course

Job roleOverview
Generative AI EngineerBuild and deploy AI applications using LLMs, RAG systems and AI agents.
Prompt EngineerDesign, test and optimise prompts to improve model accuracy and output quality.
Machine Learning Engineer (AI focused)Develop, train and deploy AI models for real business applications.
Data Scientist (AI specialisation)Use embeddings, vector databases and data analysis to build intelligent systems.
AI Software DeveloperIntegrate Generative AI models into web, mobile and enterprise applications.
AI Product SpecialistSupport implementation of AI automation tools and AI-driven solutions in organisations.

More Learning Support at Brolly AI

  • LLM creation & testing

    Creating and testing language models, from basics to advanced techniques.

  • Advanced NLP testing

    Testing methods that make your models reliable and effective.

  • Adaptive study methods

    Teaching adapts to your pace and learning style.

  • Lifetime access

    Video lectures and learning materials stay yours.

  • Doubt clarification sessions

    Dedicated sessions to clear anything you are stuck on.

  • Personalised mentorship

    One-on-one guidance matched to your career goals.

  • Interview preparation

    A full preparation kit for technical interviews.

  • Access to research papers

    Important research and white papers to deepen your learning.

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

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Our Achievements

Successful placements
900+
Students trained in Hyderabad and abroad
4,500+
Batches completed
50+
Google rating
5.0 / 5

Stories from Brolly AI Learners

  • The classes are well-structured and practical. Dinesh Sir is very patient and clears all doubts without hesitation. His teaching style is simple, powerful and easy to follow. Highly recommended for students who want strong basics.

    Vivek Chinthala

    Read Google review

  • The offline AI course at Brolly AI was one of the most practical trainings I've taken. Dinesh sir explained every topic in detail and made sure we practiced enough. It covered all the latest tools and techniques. Great experience.

    Sandeep Kavuri

    Read Google review

  • I took online training from Brolly AI and it was a great experience. Sandeep sir made even difficult AI concepts easy to understand. The training covered all the modern tools, and the interactive sessions kept me motivated throughout.

    Rahul Miryala

    Read Google review

  • As a freelancer, I wanted to learn AI for my projects. The online Generative AI course at Brolly AI was perfect. Sandeep sir focused on real applications that helped me improve my client work. The sessions were practical and full of insights.

  • After graduation I wanted to start a career in AI, and Brolly AI was the best choice. The offline training with Dinesh sir was practical and career-focused. I gained real exposure to AI tools and completed my first portfolio project successfully.

  • I enrolled for offline AI training at Brolly AI and it was truly helpful. Dinesh sir explained concepts very patiently and guided us with real-world examples. The training gave me great confidence to work on AI projects.

    Yuvaraj Gundu

    Read Google review

See how you will learn.

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What to Compare When Choosing an AI Institute

Compare the projects, curriculum, learning support and commercial terms when choosing your training. Here is what Brolly AI offers across those checks.

What to checkBrolly AI
Real-time projects6 guided projects: RAG document Q&A, chatbot with memory, resume screening, automation workflow, deployment
Placement supportDefined eight-step process with resume preparation, portfolio work, mock interviews, mentorship and referrals
Trainer experience9+ years in AI, ML and Generative AI
Curriculum depthLangGraph, Agentic AI and Model Context Protocol included, not just ChatGPT prompting
Fee transparency₹35,000 online and ₹40,000 classroom, published on the page, EMI available
RecordingsLifetime access to recordings and course resources
Mock interviewsWeekly on the online track, monthly on classroom
Learning modesOffline, online and corporate, weekday and weekend
Non-IT friendlyStarts from Python basics; built for career switchers
Verifiable reviews5.0 Google rating with reviews linked to their original listings

Frequently Asked Questions

What is Generative AI training?

Generative AI training teaches learners how AI models generate content and how LLMs can be used with prompts, APIs, external information and tools to create practical applications and workflows.

Who can learn Generative AI?

Students, freshers, working professionals, career switchers, developers and non-IT learners can learn Generative AI. Brolly AI starts with foundations before moving to technical application-building topics.

Is Generative AI suitable for beginners?

Yes. The course begins with Python foundations and Generative AI basics before covering LLMs, APIs, RAG, LangChain and AI agents.

What are the prerequisites for Generative AI training?

Previous Generative AI experience is not required. Learners should be willing to learn basic Python, take part in guided practice and complete assignments.

What will I learn in the Generative AI course?

The course covers Python foundations, Generative AI fundamentals, prompt engineering, ChatGPT, Claude, LLMs, APIs, RAG, LangChain, AI agents, assignments and live projects.

How long does Generative AI training take?

Brolly AI’s Generative AI training runs for three months.

Does the course include projects?

Yes. The program includes assignments, guided practice, live-project work and an internship connected to live projects.

Is certification provided?

Yes. Certification is included with the course.

Which learning modes are available?

Brolly AI offers online, classroom and hybrid learning, with weekday and weekend batch options.

Are class recordings available?

Yes. Live classes are supported with recordings for revision.

Which languages are used for teaching?

Instruction support is available in Telugu, English and Hindi. Technical terms, code and tool interfaces may remain in English.

What tools will I learn?

Python, OpenAI GPT APIs, Hugging Face, LangChain, LangGraph, TensorFlow, PyTorch, Pandas and NumPy, Google Colab, Docker, and vector databases such as FAISS and Chroma, plus prompt design and basic AI deployment.

Is math knowledge required?

Basic maths is helpful. The course includes statistics and probability and focuses on practical implementation.

What job roles can I apply for?

Generative AI Engineer, Prompt Engineer, LLM Developer, Machine Learning Engineer, Data Scientist with an AI specialisation, AI Software Developer and AI Product Specialist.

What is an LLM?

A Large Language Model is an AI system trained on very large amounts of text so it can understand and generate human-like responses. LLMs sit behind most Generative AI applications.

What is Prompt Engineering?

Prompt Engineering means writing clear, structured instructions so AI models produce accurate and useful outputs. It covers zero-shot and few-shot prompting, chain-of-thought, structured outputs and prompt evaluation.

What is RAG in Generative AI?

Retrieval-Augmented Generation connects an AI model to external documents through retrieval, so answers can be grounded in relevant source content.

How is Generative AI different from Data Science?

Generative AI focuses on creating new content and automating work with language models. Data Science focuses mainly on analysing data and building predictive models. This course covers the data and machine learning foundations first, then moves into Generative AI.

Is cloud knowledge necessary?

Basic cloud concepts help, but they are not a prerequisite. The course covers cloud-based AI deployment workflows and enterprise AI toolchains.

What are the Generative AI course fees in Hyderabad at Brolly AI?

Online training is ₹35,000 and classroom training is ₹40,000 for the full 3-month program, including projects, certification and placement assistance. Easy EMI is available on both modes. Corporate training is quoted separately based on team size and scope.

Is there a job guarantee?

No. Brolly AI provides placement assistance through resume preparation, portfolio work, mock interviews and referrals. Hiring decisions belong to employers.

Are online classes as effective as classroom training?

Both modes follow the same syllabus and the same trainer. Classroom adds one-on-one lab support and in-person mentorship; online adds flexibility, digital labs and lifetime video access. Choose the one that fits your schedule.

Can I learn while working full-time?

Yes. Flexible weekday and weekend schedules let working professionals attend without leaving their job, and every session is recorded with lifetime access.

Are mock interviews conducted?

Yes. Mock interviews are conducted to prepare you for real company interview scenarios, weekly on the online track and monthly on the classroom track, with trainer feedback each time.

Will I train a large language model from scratch?

The core path builds applications using existing models. It explains training concepts and includes an advanced adaptation unit. Training a frontier model from scratch requires resources far beyond an introductory application course and is not promised here.

Do I need a GPU before starting?

A GPU is not an entry requirement for the proposed computing, Python and hosted-API path. Local model inference or adapter training can require additional memory and compute. The final environment and any included resources need confirmation.

How is this different from Agentic AI?

Generative AI establishes the application foundation: data, prompts, model calls, retrieval, evaluation and deployment. Agentic AI builds on that foundation with persistent state, tool decisions, coordination, recovery and controlled actions.

What should a finished project include?

Include code, setup instructions, permitted sample data, prompts, configuration, evaluation cases, error analysis and a demonstration of a failure path. This makes the work more useful to a reviewer than a chatbot screenshot alone.

Can I download the full syllabus?

Yes. Select Download syllabus (PDF) at the top of this page or after the curriculum. The ungated PDF includes all confirmed modules, readiness guidance, four project briefs and assessment criteria. Business details marked in the PDF still need confirmation.

How do I enquire about training in Hyderabad?

Use the bottom Enquire button, call or message the team on WhatsApp. Share your learning goal and confirm the schedule, location or online access, fees and tool requirements before enrolling.

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Explore the course structure, understand the teaching approach and see how the program moves from Python foundations to practical Generative AI workflows.

65, National Highway, Jai Bharat Nagar, Hyder Nagar, Vasantha Nagar, Kukatpally, Hyderabad, Telangana 500085
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