Complete Generative AI Training in Hyderabad for Beginners
With 100% Placement Assistance
Start your career in Generative AI Masters with step-by-step training specially designed for beginners, freshers, and graduates. No prior coding experience is required. Learn directly from industry experts, work on real-time projects, and become job-ready with 100% placement assistance.
- Real-Time Capstone Projects
- Beginner-Friendly Curriculum
- Industry-Ready Professional Skills
- Certification on Completion
Book Your Free Generative AI Demo Class
Speak directly with our expert trainers before joining.
Generative AI Training Program Overview
Our Generative AI Training in Hyderabad is designed for freshers, beginners, and graduates who want to build a strong career in Artificial Intelligence. At our JNTU branch, we start with clear basics of Generative AI, Data Science fundamentals, and how Large Language Models (LLMs) work in real applications. You will also learn advanced topics like Agentic AI and how AI agents are used in automation and decision-making.
This training focuses on practical learning. You will work on Prompt Engineering, OpenAI GPT, Hugging Face, and real AI tools to build chatbots and portfolio projects. We connect Generative AI with Data Science to help you understand data and model behaviour clearly. With mentor guidance, certification, and placement support, we prepare you to confidently start your AI career.
Batch Details -Start Your AI Training in Hyderabad
Next Batch Starts
16th February 2026
Session Time
07:20 AM to 08:20 AM
Course Duration
3 months
Course Fees
online-35k&offline- 40K
Trainer Experience
20+ Years Industry Experience
Training Modes
Offline & Online, Corporate Training
Basic to Advanced Generative Ai Curriculum 2026
Module 1: Python Programming (20 Hours)
1. Python Basics
Introduction to Python
Installation (Google Colab / Jupyter)
Variables and Constants
Comments
Primitive Data Types
Type Casting
String Operations
2. Data Structures
Lists
Tuples
Sets
Dictionaries
List Comprehension
Match Statement
3. Control Flow
If, elif, else
Nested Conditions
Logical Operators
For Loop, While Loop
Break, Continue
4. Functions & Advanced Concepts
Functions
Lambda Functions
map(), filter(), reduce()
Generators & Iterators
5. Object-Oriented Programming (OOP)
Class & Object
init Method
Inheritance
Polymorphism
Encapsulation & Abstraction
Static Methods
Access Modifiers
Method Overriding
6. Modules & Exception Handling
Module Creation
Importing Modules
Exception Handling
Multithreading
7. Python Libraries
NumPy
Pandas
Matplotlib
Seaborn
Project
Final Project – To-Do Application
Mock Tests & Assignments
Module 2: Statistics & Probability (15 Hours)
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
Module 3: Machine Learning & Algorithms (20 Hours)
1. Machine Learning Foundations
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Structured vs Unstructured Data
Confusion Matrix
Model Evaluation Metrics
2. Data Preparation
Data Cleaning
Handling Missing Values
Outlier Detection
Feature Scaling
Train-Test Split
3. Regression Algorithms
Linear Regression
Multiple Regression
Ridge, Lasso, ElasticNet
4. Classification Algorithms
Logistic Regression
Naive Bayes
k-Nearest Neighbours
Decision Trees
Random Forest
Boosting Methods
Support Vector Machines
5. Feature Engineering
Feature Creation
Feature Selection
Dimensionality Reduction (PCA, t-SNE)
Hyperparameter Tuning
6. NLP & Text Mining
Text Preprocessing
Tokenization
Stopword Removal
Lemmatization & Stemming
Bag of Words
TF-IDF
Text Classification
Capstone Project
End-to-End ML Project
Module 4: Deep Learning & Decision Sciences (20 Hours)
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)
Module 5: Generative AI & Large Language Models (27 Hours)
Topics Covered
1. Generative AI Fundamentals
What is Generative AI
Applications (Text, Image, Code)
Introduction to LLMs
Pre-training & Fine-tuning
Word Embeddings
2. Hugging Face & Model Usage
Hugging Face Hub
Pipelines
Manual Model Loading
Fine-Tuning
Model Evaluation
Model Deployment Basics
3. LangChain
Prompt Templates
Chains
Output Parsers
Memory
Agents
4. LangGraph
Graph-Based Control Flow
Nodes & Edges
State Management
Conditional Logic
Human-in-the-loop
5. Retrieval-Augmented Generation (RAG)
RAG Architecture
Vector Databases (FAISS, Chroma)
Document Loaders
Embeddings
RAG Q&A Chain
RAG Evaluation
6. Advanced GenAI Applications
Multi-turn Chatbots
Multi-tool Agents
Planning vs Reactive Agents
Module 6: Agentic AI & MCP (Advanced AI Systems)
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
Module 7: Prompt Engineering (2 Hours)
Topics Covered
Principles of Effective Prompting
Zero-shot Prompting
Few-shot Prompting
Chain-of-Thought Prompting
Structured Outputs (JSON, Tables)
Prompt Optimisation & Evaluation
Syllabus for Generative Ai course in Hyderabad
Complete Generative AI syllabus in Hyderabad covering LLMs, Prompt Engineering, RAG, AI Agents, projects, and practical hands-on training.
What is Generative AI?
- Generative AI is a branch of Artificial Intelligence that can create new content, not just analyze data.
- It can write text such as articles, blogs, emails, and social media posts.
- It can generate images like posters, graphics, and creative designs.
- It can create programming code, from simple scripts to advanced applications.
- It can produce audio content such as voice, music, and sound effects.
- It can generate videos, including short videos and AI-based visual content.
- It works using advanced technologies like Large Language Models (LLMs) and deep learning.
- Empowers beginners to enhance creativity, productivity, and AI career opportunities.
Why Generative AI Is Important for Beginners in 2026
01
Generative AI Is Powering Modern Applications
Today, companies use Generative AI for
- LLM-based chatbots and conversational AI
- Retrieval-Augmented Generation (RAG) for document intelligence
- AI content generation systems
- NLP-driven search and summarisation tools
- AI automation workflows using Agentic AI
Beginners who understand these systems can relate directly to real industry use cases.
02
Large Language Models Are Core Technology
Large Language Models are used in
- Enterprise knowledge systems
- AI-powered assistants
- Code generation tools
- Intelligent document processing
Learning how LLMs work — including transformers, embeddings, and context handling — gives beginners strong technical clarity.
03
RAG and AI Agents Are Expanding Career Scope
Modern AI systems use
- Vector databases and embeddings
- Retrieval-Augmented Generation pipelines
- AI Agent workflows
- Multi-step reasoning systems
Beginners who understand these concepts are prepared for advanced Generative AI roles.
04
Growing Demand for Generative AI Roles
Companies are hiring for
- Generative AI Engineer
- LLM Application Developer
- Prompt Engineering Specialist
- RAG System Developer
- AI Agent Developer
Having hands-on knowledge of Generative AI increases job readiness.
Where is Generative AI Used?
Generative AI is not limited to one sector. Industries use Large Language Models (LLMs), prompt engineering, AI chatbots, and RAG-based systems to improve speed, accuracy, and automation.
Industry | How Generative AI Is Used | Practical Example |
IT & Software | Code generation, AI assistants, documentation automation | A developer uses GPT-based tools to generate Python code and fix bugs faster |
Marketing & Digital Media | Content generation, ad copy creation, SEO writing | The marketing team creates blog posts using prompt engineering |
Banking & Finance | Report generation, document analysis, and customer support bots | AI system summarises financial reports using LLMs |
Healthcare | Medical report summarisation, patient documentation | AI assists doctors by summarising clinical notes |
Education & EdTech | AI tutors, automated question generation | Student uses an AI chatbot for concept explanations |
HR & Recruitment | Resume screening, job description generation | AI ranks resumes based on job requirements |
Startups & SaaS | AI-powered apps, automation systems | Startup builds RAG-based knowledge assistant |
Why Choose Our Generative AI Masters Program?
Industry-Ready AI Curriculum 2026 Updated
Designed as per the latest Generative AI, LLM, and industry requirements.
Experienced Generative AI Trainers
Learn from experienced AI professionals with real-world knowledge.
Hands-On Projects with LLM Applications
Build practical projects using Large Language Models and AI tools.
Strong Placement Assistance for Generative AI Roles
Get complete end-to-end assistance for Generative AI job roles.
Lifetime AI Career Mentorship & Support
Continued support and learning updates even after course completion.
Updated for 2026 Generative AI Industry Trends
Learn the latest 2026 Generative AI tools and industry trends.
Complete List of Generative AI Tools Covered in Our Training
TensorFlow
TensorFlow is a deep learning framework developed by Google. It helps you build and train neural network models.
PyTorch
PyTorch is another popular deep learning framework. It is widely used in research and production AI systems.
Keras
Keras is a beginner-friendly library built on top of TensorFlow.
Hugging Face
Hugging Face provides ready-made AI models for Natural Language Processing.
OpenAI GPT
GPT (Generative Pre-trained Transformer) is a powerful Large Language Model.
Jupyter Notebooks
Jupyter is an interactive coding environment.
NVIDIA CUDA
CUDA allows AI models to use GPU power.
Google Colab
Google Colab is a cloud-based Python environment.
Docker
Docker helps package and deploy AI applications.
Flexible Training Modes for Generative AI Masters in Hyderabad
Classroom Training
- Interactive Face-to-Face Teaching
- Industry Expert Trainers
- Instant Feedback
- Collaborative Tasks
- Hands-on Industry Projects
- Group Discussions
- Covers Advanced Topics
Online Training
- Virtual Learning Sessions
- Daily Session Recordings
- Instructor Support
- Interactive Webinars
- Digital Learning Modules
- Online Practical Labs
- Flexible Learning Schedules
Corporate Training
- Customized Training Programs
- Daily Recordings
- Interactive Team Development
- Expert Instruction
- Industry-Relevant Content
- Performance Monitoring
- On-Site Workshops
Professional Generative AI Trainers for Freshers and Beginners
Course Trainer
Mr. Dinesh
Principal Data Scientist and Generative AI Strategist
15+ Years of Industry Experience in Artificial Intelligence and Advanced Analytics
- Strong Technical Expertise – Skilled in Machine Learning, NLP, predictive modeling, data preparation, and building AI-powered applications using modern Generative AI tools.
- Hands-On Tool Training – Teaches practical use of Python, TensorFlow, OpenAI APIs, and Hugging Face to apply Generative AI in business and technology.
- Career-Focused Mentorship – Friendly teaching style with real-time projects, helping freshers and beginners gain confidence, build strong portfolios, and start successful careers in Generative AI and Data Science.
Generative AI Salaries in Hyderabad – 2026 (Expected)
Generative AI is growing fast in Hyderabad, especially in IT companies, startups, research labs, and product-based companies. By 2026, the demand for AI skills like LLM development, prompt engineering, machine learning, deep learning, and AI engineering will be even higher.
| Job Role | Experience Level | Skills Required | Expected Salary (2026) | Who Hires in Hyderabad |
|---|---|---|---|---|
| AI Engineer | 0–3 years | Python, ML, GenAI APIs, NLP | ₹8–18 LPA | TCS, Infosys, Wipro, Amazon, Google |
| Machine Learning Engineer | 1–5 years | ML models, Python, TensorFlow, PyTorch | ₹10–22 LPA | Microsoft, Accenture, Deloitte |
| Generative AI Developer | 1–6 years | LLMs, GPT, fine-tuning, RAG, vector DBs | ₹12–28 LPA | Startups, Product companies |
| Prompt Engineer | 0–4 years | Prompt design, LLM understanding, NLP | ₹8–20 LPA | AI startups, Marketing tech companies |
| Data Scientist (AI + ML) | 2–7 years | Statistics, ML, Deep Learning | ₹12–30 LPA | BFSI, Healthcare, Enterprise Companies |
| AI Research Scientist | 3–10 years | Research papers, LLM training, deep learning | ₹20–50 LPA | Research labs, MNCs, Universities |
| NLP Engineer | 1–6 years | NLP models, Transformers, embeddings | ₹10–25 LPA | Product companies, SaaS firms |
| AI Product Manager | 4–12 years | AI project mgmt, product strategy | ₹25–60 LPA | Product-based companies |
| MLOps Engineer | 2–7 years | CI/CD for ML, cloud, Docker, Kubernetes | ₹12–26 LPA | Cloud companies, AI platforms |
| AI Consultant | 5+ years | Strategy, AI integration, client solutions | ₹30–70 LPA | Big 4, IT Consulting Firms |
Hiring Companies for Generative AI Masters Program
5000+ Generative AI Job Openings Available
Generative AI Job & Market Trends (2025–2026)
Rapid Growth Across Industries
Generative AI is used to create text, images, videos, audio, and code.
Industries like IT, marketing, education, design, finance, and entertainment are actively adopting AI.
Companies use AI to personalize content, automate campaigns, and improve customer experience.
Strong Demand for LLM-Based Applications
Large Language Models (LLMs) power chatbots, AI assistants, and content systems.
Businesses are building internal AI tools using GPT, Gemini, and other transformer models.
Retrieval-Augmented Generation (RAG) is widely used for document intelligence.
Advanced AI Technologies Driving Innovation
Transformers, GANs, and Diffusion models are improving AI quality.
AI Agents and Agentic AI workflows are automating complex tasks.
Vector databases and embeddings are becoming standard in AI systems.
Healthcare and Enterprise AI Expansion
AI is used in drug discovery, medical image processing, and report automation.
Enterprises use Generative AI for knowledge management and decision support systems.
Difference between Traditional Training and Generative AI Masters
- Traditional Training
- Generative AI Masters Training
just basics with only theory based training
- Mostly theory with very little practical exposure.
Advanced practical training
- Advanced practical sessions with real-time projects based on industry requirements.
No Job Support vs 100% Placement Assistance
- After training, you must search for a job on your own.
100% placement assistance
- Full placement assistance. We support resume building, interview scheduling, and job preparation to improve your employability.
Basic curriculum
- Teach only general AI concepts.
Industry Ready Curriculum
- Designed by industry experts with advanced topics like Prompt Engineering, RAG systems, and AI Agents
Huge upfront course fee
- You are charged very high course fees for training and course materials alone.
Flexible Payment Options
- We offer a small initial training fee, with the remainder payable in term installments.
Real Stories from Generative AI Learners
I Recently Completed my Generative Ai Training in Hyderabad. Sandeep sir explained generative AI concepts in a simple way. The projects helped me understand real applications. Mock interviews boosted my confidence. Thank you, Sandeep sir
I joined Bharath Sriram sir’ Machine learning class in online. His explanations were very detailed and easy to follow. Projects helped me understand algorithms clearly. Thank you Bharath sriram,sir.
I recently joined the Generative AI course at JNTU Hyderabad, and it has been an incredible experience so far! The sessions are well-structured and hands-on, making complex AI concepts easy to understand and apply.
Generative AI has made learning easier for me by breaking down difficult topics, giving quick summaries, and helping with projects. Tools like ChatGPT and Midjourney help me write, code, and create images, which saves time and makes me more creative. But if I use AI too much, it could stop me from thinking for myself, so it’s important to use it wisely.
Generative AI is both a blessing and a challenge for students. It aids in research, writing, and coding, significantly reducing the time spent on assignments. AI-powered tutors make self-learning more interactive and accessible. However, it also raises concerns about academic integrity, as some students may misuse AI for plagiarism or bypass critical thinking.
Iam veda from GenAi best training institution for learning Ai in offline mode Good academy with best standards as expected in my view.The Facilities are friendly staff. create a nice learning environment. Highly recommended who are looking for Gen Ai training and quality software trainings.
Certification – Generative AI Masters Program
After completing our Generative AI Masters Training in Hyderabad, you will receive an industry-recognised certification that validates your skills in Generative AI, Large Language Models (LLMs), Prompt Engineering, and RAG systems. This certification strengthens your resume and improves your chances of getting shortlisted for AI and Data Science roles.
We also guide you step-by-step to achieve official global Generative AI certifications, ensuring you gain both practical knowledge and recognised credentials.
What You Will Get
- Generative AI Masters course completion certificate
- Strong resume value for AI, LLM, and Generative AI roles
- Guidance for global AI certifications
- Help in selecting the right certification for beginners
- Step-by-step exam preparation and registration support
- Practice sessions and doubt clarification
- Career support until you become certified and job-ready
200+
Active Students
4+
Professional Trainers
15+
Years Of Experience
10+
Batches Completed
FAQS
Generative AI is a special kind of Artificial Intelligence that can create new things like text, images, videos, music, and even computer code.
It learns from existing data and uses that knowledge to generate new, meaningful content.
Example tools: ChatGPT, DALL·E, Midjourney, Gemini.
Basic programming skills, familiarity with machine learning concepts, and knowledge of linear algebra and calculus are recommended for the training.
The training covers fundamental concepts of generative AI, deep learning models, GANs, Transformers, practical applications, and ethical considerations.
Freshers: ₹6–10 LPA
1–3 years: ₹10–18 LPA
Senior: ₹20–40+ LPA
Salaries grow fast in AI careers based on your skill and projects.
Generative AI can be used in most industries, including the following:
Entertainment: The creation of scripts, music, and animations.
Healthcare: Produce patient simulations and combine medical images.
Finance: Fraud detection and report automation.
Marketing: Customised advertising and content.
Live online classes (with recording access)
Offline classroom training (Hyderabad)
Interactive doubt-clearing sessions
Trainer-guided projects
Free demo session before joining
Tools such as TensorFlow, PyTorch, Keras, Hugging Face Transformers, and Google Colab are used during the training.
Yes, all applicants and students interested in our Generative AI training program are welcome to attend free trial classes for up to three days.
The duration varies depending on the mode of training, typically ranging from a few weeks to several months.
Yes. You’ll receive an industry-approved certificate from Generative AI Masters after completing the course and projects.
Yes. We provide 100% placement assistance
Resume support
Mock interviews
Real job updates
LinkedIn and portfolio building
Yes! You’ll build 100% real projects like
AI Chatbots
Resume builders
Text-to-image tools
Content generators
YouTube script writers
These help build your portfolio.
You can enroll by contacting us on the Gen AI Masters website, choosing your preferred mode of training, and following the registration process provided.
It saves time and effort by automating content creation.
It improves creativity, marketing, and customer support.
It helps businesses innovate faster.
Generative AI is the future of digital technology.
Anyone
Students
Freshers
Working professionals
Career gap people
Non-tech background
Degree/B.Tech/Inter students
No coding experience is required.
Writing emails, blogs, and product descriptions
Creating logos, banners, posters
Developing AI chatbots
Making YouTube scripts
Resume and job application assistance
AI video creation and editing
Prompt Engineering is the art of giving correct inputs (called “prompts”) to AI tools like ChatGPT to get the best output.
Example
Bad prompt: “Write about sales.
Good prompt: “Write a friendly sales pitch for a beauty product for young women.”
ChatGPT (OpenAI)
Gemini (Google)
Midjourney (Images)
DALL·E 3
Claude (Anthropic)
RunwayML (Video AI)
Notion AI (Content)
Leonardo AI
GitHub Copilot (Code)
We offer full career guidance
Lifetime access to updates
One-on-one doubt solving
Interview questions & mock tests
Placement referrals
- 100% Yes
Many companies now hire freshers trained in Gen AI tools for content, design, and automation tasks.
Yes. Companies today value skills over experience.
If you show your project work, prompt knowledge, and tools, you can re-enter the job market confidently
Yes! The course is made for everyone.
We teach in very simple language with daily life examples.
Even 12th class students can understand it.
We should learn Generative AI because it is the future of technology.
It helps us create new ideas, images, videos, and content using machines.
Learning it can improve our creativity, problem-solving, and job opportunities in many fields like marketing, design, education, and IT.
No, Generative AI will not completely replace IT jobs.
It will only change the way we work.
AI will handle repetitive tasks, but humans are still needed for creative thinking, decision-making, and project management.
So, learning AI will help you work with technology, not be replaced by it.
No, it will not be difficult for everyone to get jobs, but job types will change.
Generative AI will do some simple and repeated tasks automatically.
So, people who learn new skills like AI, data analysis, and creativity will have more job opportunities.
The future will have different jobs, not fewer jobs.
- After completing the course, you can apply for roles like
- Generative AI Engineer
- Prompt Engineer
- AI / ML Engineer
- AI Automation Specialist
- Data Scientist (AI focus)
- NLP / Chatbot Developer
Yes. The curriculum includes latest tools, models, and trends like LLMs, RAG systems, AI automation, and deployment workflows used in today’s companies.
We focus on practical learning, real projects, and career outcomes, not just theory. You don’t just learn — you build, deploy, and prepare for real jobs.
Other Relevant Course
Branch JNTU Office
Metro Pillar No: A689, JNTU Metro Station, 3rd Floor, Dr Atmaram Estates, beside Sri Bhramaramba Theatre, Hyder Nagar, Vasantha Nagar, Hyderabad, Telangana 500072.
Call Us
+91 81868 44555
Mail Us
📧brollyacademy@gmail.com