Advanced Generative AI Training in Hyderabad for Career Switchers & Job Seekers
With 100% Placement Assistance
Our Generative AI Training in Hyderabad is designed for career switchers, job seekers, and non-IT professionals who want to enter the AI industry with confidence. Learn from industry experts, work on real projects, and get structured with 100% placement assistance. No advanced coding background required — we guide you step-by-step from basics to job-ready level.
- Beginner Friendly Curriculum
- Real-Time Projects & Internship
- Resume & Interview Preparation
- 100% Placement Assistance
- Online & Classroom Training
Book Your Free Generative AI Demo Class
Generative AI Complete Training Program Overview
Our Generative AI Training in Hyderabad is a complete, job-focused program designed especially for career switchers, job seekers, and non-IT working professionals who want to enter the AI industry with confidence. This is not a theory-based course. It is a practical, step-by-step learning path that starts from fundamentals and moves toward real-world AI application development.
This program at our Generative AI Training in Hyderabad JNTU branch gives you a clear, structured path from basics to advanced AI application development. You will learn Python fundamentals, Machine Learning concepts, Large Language Models (LLMs), Prompt Engineering, RAG systems, vector databases, and real-time deployment projects. Every concept is explained in simple English, with hands-on projects and guided mentorship.
Next Batch Details
Next Batch Starts
25th February 2026
Session Time
07:10 AM to 08:10 AM
Course Duration
3 Months
Course Fees
Online – 35k & Offline – 40k
Trainer Experience
20+ Years Industry Experience
Training Modes
Offline & Online, Corporate Training
Generative AI Course Curriculum
Our Generative AI curriculum is structured to take learners from strong AI foundations to building production-ready Generative AI systems.
Instead of focusing only on theory, the program emphasizes LLMs, RAG pipelines, vector databases, agentic AI, and real deployment practices used in modern enterprises.
The curriculum is continually aligned with industry tools, hiring requirements, and real-world use cases, ensuring the development of practical skills rather than academic knowledge.
Curriculum Coverage
- Python Basics
- Introduction to Python
- Installation (Google Colab / 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 Loop, While Loop
- Break, Continue
- Functions & Advanced Concepts
- Functions
- Lambda Functions
- map(), filter(), reduce()
- Generators & Iterators
- Object-Oriented Programming (OOP)
- Class & Object
- init Method
- Inheritance
- Polymorphism
- Encapsulation & Abstraction
- Static Methods
- Access Modifiers
- Method Overriding
- Modules & Exception Handling
- Module Creation
- Importing Modules
- Exception Handling
- Multithreading
- Python Libraries
- NumPy
- Pandas
- Matplotlib
- Seaborn
Project
Final Project – To-Do Application
Mock Tests & Assignments
Statistics Topics
- Introduction to Statistics
- Data & Types of Data
- Population & Sample
- Sampling Methods
- Descriptive Statistics
- Mean, Median, Mode
- Variance, Standard Deviation
- Distribution Shape
- Graphical Visualization
- Inferential Statistics
- Estimation of Parameters
- Confidence Intervals
- Hypothesis Testing
- Statistical Tests (t-test, ANOVA, Chi-square)
- Regression Analysis
- Correlation & Association
Probability Topics
- Trial & Outcome
- Sample Space
- Types of Events
- Random Variables
- Permutations & Combinations
- Conditional Probability
- Bayes’ Theorem
- Probability Distributions
- Machine Learning Foundations
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Structured vs Unstructured Data
- Confusion Matrix
- Model Evaluation Metrics
- Data Preparation
- Data Cleaning
- Handling Missing Values
- Outlier Detection
- Feature Scaling
- Train-Test Split
- Regression Algorithms
- Linear Regression
- Multiple Regression
- Ridge, Lasso, ElasticNet
- Classification Algorithms
- Logistic Regression
- Naive Bayes
- k-Nearest Neighbors
- Decision Trees
- Random Forest
- Boosting Methods
- Support Vector Machines
- Feature Engineering
- Feature Creation
- Feature Selection
- Dimensionality Reduction (PCA, t-SNE)
- Hyperparameter Tuning
- NLP & Text Mining
- Text Preprocessing
- Tokenization
- Stopword Removal
- Lemmatization & Stemming
- Bag of Words
- TF-IDF
- Text Classification
Capstone Project
- End-to-End ML Project
Topics Covered
- Artificial Neural Networks (ANN)
- Activation Functions
- Backpropagation
- Optimisers (SGD, Adam)
- Convolutional Neural Networks (CNN)
- Transfer Learning
- Recurrent Neural Networks (RNN)
- LSTM & GRU
- Generative Adversarial Networks (GANs)
- Variational Autoencoders (VAE)
- Transformer Architecture
- Attention Mechanism
- Pretrained Models (BERT, GPT, Vision Transformers)
Topics Covered
- Generative AI Fundamentals
- What is Generative AI
- Applications (Text, Image, Code)
- Introduction to LLMs
- Pre-training & Fine-tuning
- Word Embeddings
- Hugging Face & Model Usage
- Hugging Face Hub
- Pipelines
- Manual Model Loading
- Fine-Tuning
- Model Evaluation
- Model Deployment Basics
- LangChain
- Prompt Templates
- Chains
- Output Parsers
- Memory
- Agents
- LangGraph
- Graph-Based Control Flow
- Nodes & Edges
- State Management
- Conditional Logic
- Human-in-the-loop
- Retrieval-Augmented Generation (RAG)
- RAG Architecture
- Vector Databases (FAISS, Chroma)
- Document Loaders
- Embeddings
- RAG Q&A Chain
- RAG Evaluation
- Advanced GenAI Applications
- Multi-turn Chatbots
- Multi-tool Agents
- Planning vs Reactive Agents
Topics Covered
- What is Agentic AI
- AI Agent Architecture
- Agent Lifecycle (Think → Plan → Act → Observe)
- Chain-of-Thought & ReAct
- LangChain Agents
- Multi-Agent Systems
- Model Context Protocol (MCP)
- MCP Architecture
- MCP Servers & Clients
- Context & State Management
Topics Covered
- Principles of Effective Prompting
- Zero-shot Prompting
- Few-shot Prompting
- Chain-of-Thought Prompting
- Structured Outputs (JSON, Tables)
- Prompt Optimisation & Evaluation
Deploy and manage Generative AI solutions using modern platforms and tools.
- OpenAI & Hugging Face
- TensorFlow & PyTorch
- Cloud-based AI deployment workflows
- Enterprise-grade AI toolchains
What is Generative AI?
Generative AI is a type of Artificial Intelligence that creates new content like text, images, code, and automation tools using Large Language Models (LLMs) and deep learning.
- Creates New Content: Generative AI generates text, images, code, and documents using models like GPT.
- Large Language Models (LLMs): It uses advanced models trained on large datasets to produce human-like responses.
- Used in Real Applications: Companies use it for chatbots, document summarization, AI assistants, and automation.
- Works with Prompt Engineering: Clear prompts help control how the AI generates responses.
- RAG Systems: It connects with external documents using Retrieval-Augmented Generation for accurate answers.
- Builds AI Agents: Generative AI can automate tasks and workflows using intelligent AI Agents.
- Used Across Industries: IT, healthcare, finance, and startups use Generative AI for productivity.
- Data-Driven and Scalable: Models improve using embeddings, vector databases, and structured data.
- High Career Demand: Generative AI, LLM, and Prompt Engineering skills are in strong demand.
- Beginner-Friendly Learning Path: With proper training, even non-IT professionals can learn step by step.
Why Career Switchers Need Generative AI in 2026
Practical Use Cases of Generative AI
- Companies use LLMs to build AI chatbots and virtual assistants.
- Businesses implement RAG systems for document intelligence and smart search.
- AI Agents automate content generation, reporting, and workflow tasks.
LLMs as the Foundation of Generative AI
- LLMs are used in enterprise knowledge systems and AI applications.
- They power AI assistants and code generation tools.
- Understanding transformers, embeddings, and NLP workflows builds strong technical clarity.
Building Your Career with RAG and AI Workflows
- RAG systems connect AI models with real business documents and data.
- Vector databases improve search accuracy and information retrieval.
- AI Agents handle multi-step reasoning and automation tasks used in modern companies.
Future Job Growth in Generative AI Careers
- Companies are actively hiring Generative AI Engineers and LLM Application Developers.
- Strong demand for Prompt Engineering, RAG, and AI Agent developers.
- With hands-on Generative AI projects, even non-IT professionals can apply confidently.
Where is Generative AI Used?
Generative AI is a type of Artificial Intelligence that uses Large Language Models (LLMs), Prompt Engineering, RAG systems, and AI Agents to create content, automate tasks, and improve business processes across industries.
AI Chatbots & Virtual Assistants
- Built using Large Language Models (LLMs)
- Used for customer support and internal help desks
- Example: GPT chatbot answers customer questions automatically
Used in IT companies, startups, and SaaS platforms.
Document Intelligence with RAG
- Uses Retrieval-Augmented Generation (RAG)
- Connects AI with company documents
- Example: AI answers employee questions from internal policies
Common in banking, legal, and HR departments.
Content & Marketing Automation
- Generates blog posts, ads, and email campaigns
- Uses Prompt Engineering for better outputs
- Example: AI writes product descriptions instantly
Popular in e-commerce and digital marketing.
AI Agents & Workflow Automation
- AI Agents perform multi-step reasoning tasks
- Automate repetitive office processes
- Example: AI collects data and generates business reports
Used in operations and enterprise automation.
Code Generation & Developer Support
- LLMs generate and optimize code
- Help debug and improve development speed
- Example: AI suggests Python or web code automatically
Used in software development teams.
Healthcare Applications
- Summarizes medical reports
- Assists doctors with documentation
- Example: AI shortens patient history for quick review
Used in hospitals and health-tech companies.
Banking & Financial Services
- Reviews loan documents
- Detects fraud patterns
- Generates financial summaries
- Example: AI processes loan applications faster
Used in fintech and financial institutions.
Education & Learning Platforms
- AI tutors and exam assistants
- Personalized learning content
- Example: AI explains difficult topics in simple language
Used in EdTech companies.
Enterprise Knowledge Systems
- Centralized knowledge management
- Vector databases for smart search
- Example: AI searches company data and gives accurate answers
Used in large enterprises and corporate environments.
Why Choose Brolly AI for Generative AI Program
AI-Powered Curriculum
Learn modern Generative AI skills like LLMs, Prompt Engineering, RAG, and AI Agents used in real companies.
Hands-On AI Projects
Build real-world Generative AI applications to gain practical experience and job confidence.
High-Demand AI Careers
Prepare for high-demand roles such as Generative AI Engineer and LLM Developer.
Experienced Generative AI Trainers
Understand complex AI concepts in simple language with step-by-step guidance.
Recognized AI Certification
Create strong Generative AI projects that improve your interview success.
Future-Proof AI Skills
Gain in-demand AI skills that are shaping the future of technology and business.
Real-Time Generative AI Projects
Developed a Python-based RESTful web application using Flask/Streamlit for a financial institution. The project included implementing OAuth authentication and CRUD operations, providing a seamless user interface for both employees and customers. The system enhanced operational efficiency through secure data management and real-time access.
Built a spaCy-based NER model to extract key entities from unstructured healthcare text, such as drug and chemical information. This automated solution accelerates data mining and supports medical research by providing accurate, real-time entity extraction and analysis.
Created a sophisticated AI-driven facial detection and swapping system for real-time surveillance, optimized for Nvidia Jetson Orin edge devices. Integrated with CCTV systems, this solution enhances security monitoring with real-time face recognition capabilities.
Developed a deep learning system using CNNs for detecting teeth and diagnosing dental issues from panoramic X-rays. This automated tool helps dental professionals by improving diagnostic accuracy and speeding up radiography analysis.
Develop a data pipeline to collect and preprocess historical stock market data, converting stock charts into images for CNN analysis. Train and optimize a CNN model by experimenting with architectures and hyperparameters, and evaluate performance on a validation dataset. Deliverables include a data ingestion script, preprocessed images, a trained model, and performance metrics.
Test the model on real-time stock data, refining its architecture and preprocessing pipeline for better accuracy and generalization. Monitor model performance with real-time data and implement a feedback loop to enhance predictions based on actual market movements.
Integrate the trained model into a web application or API, and deploy it in a production environment. Test the application’s performance and ensure smooth processing of user inputs and analysis generation. Deliverables include a functional application, deployment, and performance test results.
Industry Tools Covered in Our Generative AI Course
TensorFlow
Learn to build, train, and deploy deep learning models for real-world AI applications.
PyTorch
Understand how modern neural networks and transformer models are created and tested.
Keras
Easily build and train neural networks using a beginner-friendly deep learning API.
Hugging Face
Work with pre-trained LLMs and build real Generative AI applications.
OpenAI GPT
Integrate powerful language models into chatbots, automation tools, and AI systems.
Jupyter Notebooks
Write, test, and document Python code in an interactive learning environment.
NVIDIA CUDA
Speed up deep learning model training using GPU acceleration.
Google Colab
Run AI projects in the cloud without installing heavy software on your system.
Docker
Package and deploy Generative AI projects for real-world production use.
Learning Modes Generative Ai Training
Online Training
- Lifetime video access
- Basic to advanced Generative AI modules
- Live interactive classes
- Weekly mock interviews
- Digital Learning Modules
- Online Practical Labs
- Flexible Learning Schedules
- 100% placement assistance
Classroom Training
- 3 months structured classroom training
- Expert Generative AI trainers
- Real-time industry projects
- One-on-one mentorship & lab support
- Monthly mock interviews
- Resume building & interview guidance
- Covers Advanced Topics
Corporate Training
- Customized Training Programs
- Daily Recordings
- Doubt-clearing sessions
- Expert Instruction
- Industry-Relevant Content
- Performance Monitoring
- On-Site Workshops
- 1 Capstone project included
Meet Your Generative AI Trainer
INSTRUCTOR
Mr. Dinesh
Generative AI Specialist & LLM Architect
Experience: 12+ Years in Artificial Intelligence, Machine Learning & Generative AI
Teaching Style: Explains complex Generative AI concepts like transformers, embeddings, and AI agents in simple language with hands-on coding and job-focused training
Core Expertise: Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, NLP systems, Deep Learning, MLOps, and Cloud deployment (AWS)
Industry Projects: Designed LLM-based AI assistants, RAG-powered knowledge platforms, intelligent chatbots, fraud detection systems, and predictive AI solutions for healthcare and manufacturing sectors
What Are the Generative AI Salaries in Hyderabad?
Generative AI roles are growing fast in Hyderabad. Companies are hiring professionals who understand Large Language Models (LLMs), Prompt Engineering, RAG systems, and AI Agents.
Below is a clear salary overview to help you understand earning potential after Generative AI Training in Hyderabad.
Job Role | Experience Level | Key Generative AI Skills | Expected Salary (Hyderabad) |
Junior Generative AI Engineer | 0–2 Years | Python, LLM APIs, Prompt Engineering | ₹5 – ₹10 LPA |
Prompt Engineer | 0–3 Years | Prompt Design, GPT Models, NLP | ₹5 – ₹12 LPA |
LLM Application Developer | 1–3 Years | LLM Integration, API Deployment | ₹6 – ₹14 LPA |
RAG Developer | 1–4 Years | RAG Architecture, Vector DBs, Embeddings | ₹8 – ₹18 LPA |
NLP Engineer | 1–5 Years | Transformers, Text Processing, LLM Fine-tuning | ₹8 – ₹20 LPA |
AI Agent Developer | 2–5 Years | LangChain, Agentic AI, Multi-step Workflows | ₹10 – ₹22 LPA |
Generative AI Engineer | 3–6 Years | LLM Deployment, RAG, AI System Design | ₹12 – ₹28 LPA |
AI Solutions Architect | 5+ Years | End-to-End AI Systems, LLM Strategy | ₹20 – ₹45 LPA |
AI Consultant | 5+ Years | AI Integration, Business Automation | ₹25 – ₹60 LPA |
Over 10000+ job openings available for Generative Ai
Success Stories from Our Generative AI Students
Testimonials
Generative AI Placement Support & Career Guidance in Hyderabad
Looking for Generative AI Training in Hyderabad includes a structured placement assistance process. This support system is specially designed for career switchers, job seekers, and non-IT professionals.
Step 1: Resume Building for Generative AI Roles
- Create an ATS-friendly resume
- Highlight LLM projects, RAG systems, and AI applications
- Present your skills clearly for Generative AI jobs
Step 2: LinkedIn Profile Optimization
- Improve your profile for AI hiring searches
- Add project details and Generative AI keywords
- Build a professional AI portfolio presence
Step 3: Practical Project Portfolio
- Complete real Generative AI projects
- Build LLM-based applications
- Develop RAG and AI Agent workflows
- Prepare GitHub-ready code samples
Step 4: Interview Preparation
- Practice common Generative AI interview questions
- Understand LLM architecture and Prompt Engineering
- Learn how to explain RAG systems clearly
Step 5: Mock Interviews
- Attend technical mock interviews
- Get feedback from trainers
- Improve communication and confidence
Step 6: Aptitude & Communication Training
- Logical reasoning practice
- Basic problem-solving
- Improve presentation and confidence skills
Step 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
Step 8: Interview Scheduling & Job Referrals
- We connect you with companies hiring for Generative AI roles
- Guidance on applying for LLM and AI developer positions
- Support until you receive an offer
Brolly AI Professional Certification in Generative AI
At Brolly AI, every learner earns industry-recognized Generative AI certifications that validate both practical skills and real project experience. Our certification program is designed to strengthen your resume and prepare you for roles in Generative AI, Large Language Models (LLMs), AI Application Development, NLP, and AI Deployment.
Whether you choose classroom or online Generative AI training in Hyderabad, your certification carries equal credibility and professional value.
Certifications Offered:
- 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
Our Achievements
FAQs
Generative AI is a type of Artificial Intelligence that can create text, images, code, and even chat responses. It uses Large Language Models (LLMs) to understand and generate human-like content.
Career switchers, job seekers, fresh graduates, and even non-IT professionals can join. You do not need an advanced coding background to start.
Basic computer knowledge is enough to begin. We teach Python and AI tools step-by-step so beginners can follow easily.
Most learners understand core concepts like LLMs, Prompt Engineering, and RAG systems within 3 months with regular practice.
An LLM is an AI model trained on large amounts of text data. It powers chatbots, AI assistants, and content generation tools like GPT.
Prompt Engineering means writing clear instructions so an AI model gives accurate and useful results. It is an important skill in Generative AI jobs.
RAG (Retrieval-Augmented Generation) connects AI models with real documents and data. It helps build smarter AI systems for companies.
Yes. Companies are hiring for roles like Generative AI Engineer, LLM Developer, and AI Agent Developer. Demand is growing every year.
You can apply for roles like:
- Generative AI Engineer
- Prompt Engineer
- LLM Application Developer
- RAG System Developer
- AI Automation Specialist
Entry-level Generative AI roles in India usually start between ₹5–12 LPA depending on skills and projects.
Generative AI combines programming with intelligent systems. It is future-focused and offers better career growth compared to basic coding roles.
No. Even non-IT professionals can learn if they are ready to practice regularly and understand concepts step-by-step.
You will learn tools like Python, TensorFlow, PyTorch, Hugging Face, OpenAI GPT, vector databases, and AI deployment basics.
Yes. You will build chatbots, RAG-based systems, AI automation workflows, and portfolio-ready Generative AI projects.
At Brolly Ai, we simplify complex topics like transformers and embeddings so beginners can understand without confusion.
Yes. Brolly Ai offers structured placement guidance, resume preparation, mock interviews, and job support.
It may look complex at first, but with proper guidance and practice, most students understand it clearly.
Yes. Online & Offline and weekend batches allow working professionals to learn without leaving their jobs.
An AI Agent is a system that can think step-by-step and perform tasks automatically using LLMs and automation workflows.
Hyderabad has strong IT companies, startups, and AI-focused product teams hiring for LLM and AI application roles.
Brolly Ai focuses on practical Generative AI projects, not just theory. Students build real-world systems before completing the course.
Yes. You receive a Generative AI certification after completing projects and training successfully.
Machine Learning predicts results from data. Generative AI creates new content like text, images, and automation workflows.
Yes. Freshers with strong project experience in LLMs, Prompt Engineering, and RAG can apply confidently.
Python is the foundation. It helps you build, test, and deploy AI applications.
Yes. Brolly Ai prepares students for interview questions on LLM architecture, embeddings, RAG pipelines, and AI deployment.
Generative AI is used in IT, healthcare, banking, education, marketing, legal services, and SaaS startups.
We guide students toward internship exposure and real project experience to strengthen their Generative AI portfolio.
Yes. Many career switchers move into Generative AI roles after structured learning and project practice.
Brolly Ai offers expert-led training, hands-on LLM projects, placement support, and beginner-friendly guidance for career switchers and non-IT learners.
Other Relevant Courses
Generative AI Course In Hyderabad
Training Highlights
LLM Creation & Testing
Learn all about creating and testing language models, from the basics to advanced techniques.
Start with Python
Begin with Python and move on to learn about Machine Learning, Deep Learning, NLP, Language Models, and MLOps.
Advanced NLP Testing
Industry-Ready Curriculum
Our course is designed to meet current industry needs, covering the latest and most relevant topics.
Experienced Trainers
Foundation Level Training
Adaptive Study Methods
Interactive Classes
Lifetime Access
Practical Implementation
Doubt Clarification Sessions
Personalized Mentorship
Advanced Topics
Continuous Support
Interview Preparation
Accredited Certification
Earn a recognized certification that showcases your skills and knowledge.
Access to Research Papers
Placement Assistance
- Generative Ai is a technology that allows computers to create new and original content, such as images, text, or even music, without clear human programming.
- Generative Ai includes models like GANs (Generative Adversarial Networks) that involve a dynamic interplay between a generator and a discriminator to improve the quality of generated content.
-
It works by learning patterns and features from existing data, allowing the system to generate new results based on its learned knowledge.
- It's very useful in real-life situations, helping with making pictures, finishing sentences, and even training self-driving cars by creating realistic scenarios.
- This type of Ai is often used in creative applications, like art generation, where it can produce unique and diverse results.
- While powerful and innovative, ethical considerations are crucial in its development to ensure responsible and fair use in different domains.
Other Relevant Courses
Generative Ai Training in Hyderabad
Objectives
Generative Artificial Intelligence (Generative AI) is leading the way in technology, offering the promise of changing many industries by letting machines be creative, innovative, and think outside the box. The goals of Generative AI are making society, businesses, and technology better.
- Complete introduction to the fundamental concepts of Generative Ai.
- Explore various types of generative models, including but not limited to Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and autoregressive models.
- Hands-on experience in implementing generative models using popular deep learning frameworks like TensorFlow or PyTorch.
- Directing students through the process of training and adjusting generative models on real-time datasets.
- Focus on image generation tasks, such as creating realistic images, style transfer, and image-to-image translation.
- Investigate advanced techniques in creating pictures and manipulation.
- Cover the application of generative models in NLP tasks, such as text generation, summarization, and converting language.
- Explore responsible Ai practices and ways to reduce ethical concerns in the development and Implementation of generative models.
- Analyze and discuss real-world applications of generative AI in industries such as healthcare, finance, art, and entertainment.
- Brolly Ai Encourage team work through group projects, allowing students to apply their skills in a real-time scenario.
Generative Ai Training in Hyderabad
Pre-Requisites
- Before starting Generative Ai training in Hyderabad having a basic understanding of programming languages like Python is helpful.
- Familiarity with fundamental concepts in mathematics, especially algebra and statistics, is beneficial for Understanding the basic Ideas of Generative Ai.
- A foundational knowledge of machine learning concepts, such as supervised and unsupervised learning, provides a solid starting point for learning Generative Ai techniques.
- As Generative Ai involves working with large datasets, a basic understanding of data handling and preprocessing can be beneficial for effective learning.
Who Should Learn Generative AI Course
Machine Learning and Ai Enthusiasts
Individuals who are passionate about machine learning and artificial intelligence and want to explore the field of generative models.
Data Scientists
Data scientists who want to expand their skill set to include generative AI techniques for tasks such as combining data and creative data generation.
Researchers
Researchers in the field of artificial intelligence want to stay updated on the latest developments in generative models and contribute to advancements in the field.
Software Developers
Developers interested in understanding and implementing generative Ai models for applications such as image generation, text generation, and creative content generation.
Computer Vision Engineers
Professionals working in computer vision who want to learn about generative models for tasks such as image creations, style transfer, and image-to-image translation.
Natural Language Processing (NLP) Practitioners
Those working in Natural Language Processing (NLP) want to explore generative models for tasks like text generation, dialogue systems, and language understanding.
Entrepreneurs and Product Managers
Business professionals who want to understand the potential applications of generative Ai for product innovation, content creation, and improving user experiences.
Creatives and Artists
Creative professionals interested in using generative Ai for artistic purposes, such as creating unique visual content, music, or other forms of creative expression.
Students and Academics
Students pursuing degrees in computer science, machine learning, or related fields, as well as academics looking to includes a generative AI into their research.
Anyone Interested in AI Technology
Individuals who are curious about the capabilities of generative Ai and want to explore its applications across various domains.
Outline of Generative AI Course in Hyderabad
01
The course begins with an introduction to Generative Ai, covering its basic concepts and applications.
02
Participants explore fundamental machine learning principles, providing a solid foundation for the following modules.
03
The program explores various Generative Ai models, including GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
04
Practical coding exercises using popular frameworks like TensorFlow and PyTorch are integrated to enhance hands-on skills.
05
Participants learn about ethical considerations in Artificial Intelligence, ensuring a responsible approach to Generative Ai development.
06
Advanced topics such as transfer learning and adjusting models are covered to deepen understanding and expertise.
07
Real-time case studies and projects allow participants to apply their knowledge to practical scenarios. This will help the students at the time of Placement.
08
The Generative Ai Training concludes with a complete review, merging the key concepts and skills acquired throughout the training.
09
In our Generative AI Training in Hyderabad, we provide Certification after completion of the course. This Generative AI certification proves the skill of a particular course at the time of the Interview.
Overview Of Gen AI Training in Hyderabad
Generative Ai Training in Hyderabad is a fantastic opportunity to explore the world of creative artificial intelligence. In this course, you’ll learn the basics of Generative Ai and its everyday uses.
From there, you’ll dive into exciting models like GANs and VAEs, getting hands-on experience with popular coding tools like TensorFlow and PyTorch.
The course is designed to make learning easy, with practical exercises that help you understand and apply these concepts in real-life situations.
As you progress, the training doesn’t just stop at the technical stuff. You’ll also discover the ethical side of Ai, ensuring that you use your newfound skills responsibly.
From advanced topics like transfer learning to work on real projects, this course provides a balanced understanding of Generative Ai.
Whether you’re a beginner or looking to deepen your Ai expertise, this training offers a complete overview and practical skills that will stay with you long after the course ends. during the course we also provide Generative Ai interview questions which are more helpful for interview preparation.
Enhance your skills with BrollyAI’s upskilling programs in Hyderabad, designed to help you master the latest Ai technologies and advance your career in the tech field
Difference between Artificial Intelligence and Generative AI
Artificial Intelligence
Generative Ai
Focus
- AI focuses on copying or imitating Human tasks and decision-making processes
Focus
- generative AI specifically focuses on creating new content.
Outputs
- AI can be used for various applications including automation and prediction.
Outputs
- generative AI produces original works such as text, art, or music.
Interactivity
- AI systems often interact with users to perform tasks and provide information
Interactivity
- generative AI systems are more focused on producing content without direct user interaction.
Complexity
- Developing general AI systems often requires understanding and replicating complex human behaviors.
Complexity
- generative AI focuses on understanding specific types of content creation based on learned patterns.
Adaptability
- AI systems can be designed to adapt to various tasks and environments.
Adaptability
- generative AI is typically specialized in producing certain types of content.
Generative Ai Placements
- Technology Companies
- Research Institutions
- Healthcare and Biotechnology
- Entertainment and Gaming Industry
- Finance and Trading
- Consulting Firms
- Autonomous Vehicles and Robotics
- E-commerce and Retail
- Government and Defense
Generative Ai Training in Hyderabad
Careers
01
AI Research Scientist: Research to build new models and methodologies to improve the field of Generative Ai technology.
02
Computer Vision Engineer: Apply Generative Ai in computer vision tasks, such as image and video combination, improving the capabilities of systems to interpret visual data.
03
NLP (Natural Language Processing) Specialist: NLP Specialist Work on language generation tasks, developing models that can generate human-like text, supporting applications like chatbots and content creation.
04
Game Developer: Utilize Generative Ai to create dynamic and responsive game environments, improving player experiences through step-by-step content generation.
05
Creative Content Producer: Generate artistic content using Generative Ai, including graphics, music, and literature, contributing to creative industries like advertising and entertainment.
06
Data Scientist: Data Scientist Apply Generative Ai techniques for data improvement and artificial data generation, improving the performance of machine learning models.
07
AI Product Manager: Supervise the development of Ai-powered products, confirming that Generative Ai features coordinate with market demands and user expectations are the tasks of AI Product Manager.
08
Robotics Engineer: Integrate Generative Ai into robotics systems, supporting robots to adapt and generate responses in real-time to various environments and scenarios.
09
Healthcare AI Specialist: Implement Generative Ai in medical imaging for tasks such as generating artificial images, helping in diagnostics and treatment planning.
10
Cybersecurity Analyst: Generative Ai is used to simulate and detect potential cyber threats, improving the capabilities of cybersecurity systems to identify and respond to new attack patterns.
What Are the Generative AI Salaries in Hyderabad?
Generative AI is one of the highest-paying tech domains in 2024–2030. Hyderabad — with its AI startups, MNCs, and LLM-focused innovation hubs — is offering strong salary packages for skilled GenAI professionals. Here’s a clear breakdown of salaries based on experience levels and roles.
Generative AI Salaries in Hyderabad
Experience Level | Salary Range (Annual) | Common Roles |
Freshers (0–2 yrs) | ₹6,00,000 – ₹12,00,000 | Jr. GenAI Engineer, NLP Engineer, AI/ML Engineer |
Mid-Level (2–5 yrs) | ₹12,00,000 – ₹25,00,000 | GenAI Engineer, LLM Developer, RAG Engineer |
Senior (5–10 yrs) | ₹25,00,000 – ₹50,00,000+ | Senior LLM Engineer, GenAI Architect, AI Scientist |
Specialists | ₹40,00,000 – ₹70,00,000+ | AI Research Engineer, Model Scientist, Multimodal Engineer |
What Market Trends Are Driving Generative AI Salary Growth in Hyderabad?
Generative AI salaries in Hyderabad are rising faster than other tech roles due to several strong market forces. Companies across IT, product engineering, finance, healthcare, and e-commerce are rapidly adopting LLMs, RAG systems, AI automation, and multimodal models — creating a sharp demand for skilled GenAI talent.
Key Market Trends Driving Salary Growth
- High demand, low supply: There are very few engineers skilled in LLM fine-tuning, vector search, LangChain, and agentic AI, causing companies to offer premium salaries.
- Enterprise adoption of GenAI: Hyderabad’s major MNCs and global tech centers are building GenAI teams for automation, customer analytics, and AI-powered products.
- Startup boom in AI: AI-first startups and scale-ups are hiring aggressively for RAG pipelines, data agents, and LLM-based applications.
- Shift to automation: Businesses are replacing manual workflows with AI-driven tools, increasing demand for GenAI engineers.
- Hyderabad is becoming a GenAI hub: More companies are setting up LLM and AI research centers in the city, pushing salaries upward.
- Premium for niche skills: Skills like LoRA/QLoRA, diffusion models, and multimodal AI command the highest pay due to their rare availability.
Overall Trend
GenAI salaries in Hyderabad are expected to grow 18–35% year-on-year from 2025 to 2030, driven by rapid adoption, innovation, and talent scarcity.
Salary Trends
To understand which role suits your skill set best, follow our Generative AI Career Roadmap — a step-by-step guide from learning to placement.
Skills Developed post-Generative Ai Course
01
Advanced understanding of generative models and their applications in image, text, and music generation.
02
Proficiency in implementing state-of-the-art generative algorithms like GANs and VAEs.
03
Expertise in adjusting and optimizing generative models for specific tasks and datasets.
04
Strong programming skills in frameworks such as TensorFlow and PyTorch for developing generative Ai applications.
05
Ability to critically analyze and adapt cutting-edge research papers in the field of generative Ai.
06
Skill in deploying generative models in real-world scenarios, considering ethical and responsible Ai practices.
Generative Ai Training in Hyderabad Certifications
The Generative Ai certification offered by Brolly Ai Institute holds meaningful importance in today’s technological environment. This certification signifies a complete understanding and practical skill in the field of Generative Ai, a technology with increasing importance across different industries.
Our Generative Ai Certification in Brolly Ai Institute not only validates foundational knowledge in Ai and machine learning but also show specialized expertise in generative models like GANs and VAEs.With Brolly Ai Institute certification, individuals not only improve their career opportunities but also gain the confidence to apply Generative Ai in solving real-time challenges responsibly and ethically.Build a strong foundation with our ChatGPT course and apply AI to real world projects.
- Generative AI Professional Certification
- Generative AI Certification In Cybersecurity
- Generative AI Certification In HR & L&D
- Generative AI Certification In Software Development
- Generative AI Certification In Finance And Banking
- Generative AI Certification In Project Management
- Generative AI Certification In Retail
Generative Ai Course in Hyderabad
Testimonials
The offline Al course at BrollyAI was one of the most practical trainings I’ve taken. Dinesh sir explained every topic in detail and made sure we practiced enough.
The Generative AI training covered all the latest tools and techniques. Great experience.
I took online training from BrollyAI, and it was a great experience. Sandeep sir made even difficult AI concepts easy to understand. The Generative Al training covered all the modern tools, and the interactive sessions kept me motivated throughout the course.
had an amazing learning experience at BrollyAl. The offline Generative Al training in Hyderabad was taught by Dinesh sir, who made complex AI topics easy. The hands-on approach and project work helped me gain confidence. Totally recommend this course.
As a freelancer, I wanted to learn Al for my projects. The online Generative Al course at BrollyAl was perfect. Sandeep sir focused on real applications that helped me improve my client work. The sessions were practical and full of insights.
I joined BrollyAl as a final-year student for offline Generative Al training in Hyderabad. Dinesh sir made Al concepts easy to understand with real-world examples. The projects helped me add valuable skills to my resume. I’m glad I chose this institute
Brolly’s Al training is perfect for beginners like me. The trainer made difficult topics like prompt engineering and model training very simple. I am thankful to the institute for guiding me in the right direction
I joined Brolly’s Generative Al training with zero knowledge. The trainers explained every concept very clearly with real-time examples. Now I feel confident in building Al projects on my own.
It’s good to get trained in generative ai training in Hyderabad at brolly ai institute. Thank u madhu mam for your support.
Brolly AI is the best institute for Generative AI training in Hyderabad,They provided us with well-structured curriculum and great learning facilities enhanced the experience.
Generative Ai Course in Hyderabad
Trainers
INSTRUCTOR
Ms. Madhu
Lead Data Scientist & Gen AI | Agentic AI Consultant
12+ Years of Experience
About the Tutor
Our trainer is a Lead Data Scientist specializing in Generative AI, Agentic AI, and Prompt Engineering, with expertise in LLMs like Llama2. Over 13 years of experience in data science, focusing on predictive modeling, data preprocessing, NLP, and ML.
She is a Generative and Agentic AI industry expert and seasoned lead trainer, adept at shaping students’ careers by leveraging real-world scenarios in Data Science, Generative AI, and Agentic AI.
INSTRUCTOR
Mr. Dinesh
Generative & Agentic AI Specialist | Cloud Architect
12+ Years of Experience
About the Tutor
Trained over 4,500+ students in Hyderabad. Expert in Agentic AI, Generative AI, LLMs, AI Agents, MLOps, NLP, Deep Learning, and AWS.
Mr. Dinesh has led projects on RAG-based AI systems, intelligent chatbots, fraud detection, and predictive analytics across industries. Known for his hands-on, job-focused training, he simplifies complex AI concepts into practical, career-ready lessons.
INSTRUCTOR
Mr. Prasad
Generative & Agentic AI Industry Expert & Data Scientist
20+ years of Experience
About the Tutor
Our trainer is an AI expert and Lead Data Scientist with extensive experience in Machine Learning operations, Deep Learning, Agentic AI, NLP, Python/R, as well as Statistical, Biological, and Panel Analysis.
His expertise simplifies complex concepts, making them accessible and practical for students from diverse backgrounds. By offering hands-on experience and real-world applications, he empowers students to build robust skills, preparing them for successful careers in this rapidly evolving field.
Generative Ai Training in Hyderabad
Benefits
Enhanced Skill Set
Generative Ai training prepares individuals with a specialized skill set, including proficiency in developing and applying generative models, improve their capabilities in AI and machine learning.
Expert Guidance
Our Brolly Ai Institute offers complete guidance throughout the training to the student's by our experienced experts in the field of Generative Ai .
Career Advancement
Acquiring skills in Generative Ai opens doors to various job roles across industries, such as computer vision engineer, NLP specialist, and Ai researcher, providing opportunities for career growth and advancement.
Creative Applications
The training allows individuals to explore creative applications of Ai, and generate unique content in fields like art, music, and literature, promoting new ideas in different industries.
Real-World Problem Solving
With hands-on projects and practical applications, Generative Ai training prepares individuals to address real-world challenges, from image creation for medical diagnostics to data augmentation in machine learning.
Industry-Relevant Knowledge
Staying updated with the latest advancements in Generative Ai ensures that individuals possess industry-relevant knowledge, making them valuable assets in an ever-evolving technology landscape.
Generative AI Market Trend
01
Generative Ai is experiencing a growing demand in the market, with businesses recognizing its potential to improve creativity and innovation across various sectors.
02
Industries such as entertainment, healthcare, and e-commerce are increasingly using generative models to create personalized content and improve user experiences.
03
The rise of Generative Adversarial Networks (GANs) has powered market trends, supporting realistic image and video combination, and attracting attention from industries like gaming and virtual reality.
04
In the field of design and art, Generative Ai is becoming a transformative tool, allowing artists and designers to investigate new possibilities and automate certain creative processes.
05
The market trend highlights the integration of generative models into data science practices, supporting data scientists to generate artificial data for training machine learning models.
06
Research and development in Generative Ai continue to advance, with ongoing efforts to improve existing models and investigate novel applications, contributing to the technology’s market growth.
07
The demand for professionals with expertise in Generative Ai is rising, leading to increased training programs and certifications to meet the industry’s workforce requirements.
08
Ethical considerations surrounding the use of Generative Ai are becoming a crucial part of market discussions, influencing how businesses implement these technologies responsibly and transparently.
09
With hands-on projects and practical applications, Generative Ai training prepares individuals to address real-world challenges, and data augmentation in machine learning.
Our Accomplishments
Frequently Asked Questions
FAQ’S
Generative Ai is about creating machines that can be creative, like making art or generating text. Our Generative AI course Online teaches you how to do this, making it easy for beginners to understand and enjoy.
Generative Ai course offered by Brolly Ai is designed to learn from scratch. Basic knowledge of python is essential. However, we teach you from basic.
Generative Ai Course at Brolly Ai is at an affordable price. For further details, contact us or Email us at brollyai.com@gmail.com
The duration of Generative AI course at Brolly Ai is 3 months
No special requirements! Basic computer skills are enough. Brolly Ai Institute welcomes everyone who is curious and eager to learn.
Yes! once you finish the course, you’ll receive a Gerative AI certification from Brolly Ai .
Brolly Ai Institute provides a supportive community and forums. You can ask questions, share ideas, and get help from both instructors and fellow students.
Yes, you’ll have access to the course materials even after completion. It’s a great reference for future projects or refreshing your skills.
Definitely! Brolly Ai Institute believes in learning by doing. There are practical projects that help your understanding of Generative Ai concepts.
Brolly Ai Institute provides resources like Generative AI Interview Questions and guidance to help you explore job opportunities or internships in the Ai field. Your success matters to us!
Yes, Natural Language Processing (NLP) is a key part of Generative AI. NLP focuses on enabling machines to understand, interpret, and generate human language. In Generative AI, NLP techniques are used to create models like GPT (Generative Pre-trained Transformer) that can generate human-like text, translate languages, summarize content, and even answer questions.
generative AI can write code. AI models like OpenAI’s Codex and GPT-4 are trained on vast amounts of programming languages and can generate code based on natural language instructions. These models can help developers write functions, automate repetitive coding tasks, debug code, and even build simple applications.
Taught by Industry Expert Trainers from major MNCs with 20+ years of real-world experience in AI and LLMs.
It includes live, instructor-led, interactive classes (online/offline) plus lifetime access to recorded videos.
You’ll gain expertise with GPT, LangChain, Hugging Face, Diffusion Models, GANs, and Prompt Engineering techniques.
We maintain a cutting-edge, industry-ready curriculum that is frequently reviewed.
No. A standard computer and internet connection are sufficient. We use cloud resources for powerful computing needs.
Discriminative AI focuses on prediction/classification (“Is this X?”). The primary function of Generative AI is to create entirely new outputs.
Yes. We foster a strong community through dedicated student groups on WhatsApp and Discord for networking and support.
You’ll be prepared for in-demand roles like Generative AI Engineer, LLM Developer, Prompt Engineer, and AI/ML Specialist.
We offer a 3-day free demo class. Please contact our support team for detailed information on the official refund policy after enrollment.
You have lifetime online access via the secure LMS. Downloading videos for offline viewing may be restricted to protect content integrity.
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