Generative AI Course in Hyderabad
Master Generative AI in 90 days with our Gen AI course in Hyderabad. Learn Python, LLMs, Langchain, RAG, Prompt Engineering, and Vector Databases. Engage in hands-on projects and real-world applications. Enjoy 100% placement support at Code Zen Eduversity, Madhapur.
90+
Hours Training
20+
Technologies
7+
Years Exp. Trainers
100%
Placement Support
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What Is Generative AI?
Generative AI is a branch of artificial intelligence that creates new content such as text, images, code, and audio. These models learn patterns from large datasets and produce original outputs. Some popular Generative AI tools include ChatGPT, DALL-E, Midjourney, and Google Gemini.
Generative AI uses technologies like Large Language Models (LLMs), Deep Learning, NLP, Transformers, and Neural Networks. AI Engineers often use Python with libraries such as TensorFlow, PyTorch, and Scikit-learn to build AI applications. For production-ready apps, they utilize Langchain, LlamaIndex, and Vector Databases such as Pinecone and Chroma. Prompt Engineering with the OpenAI API allows for text and image generation. Responsible AI practices help ensure ethical use across industries.
What Does a Generative AI Engineer Do Daily?
A Generative AI Engineer starts the day by building AI models. A key task is training and evaluating LLMs like GPT, LLaMA, and Falcon on custom datasets. They create RAG (Retrieval Augmented Generation) pipelines using Langchain to develop smart chatbots and knowledge systems. Engineers design document chunking strategies for better dataset processing. They set up Vector Databases. Examples include Pinecone, Milvus, and Faiss. These databases store and retrieve embeddings. They write Python scripts every day to preprocess data using NumPy, Pandas, and Matplotlib. Integrating the OpenAI API into web apps for text generation and image creation is also common. Generative AI Engineers team up with data scientists, product managers, and backend developers. They create AI-powered features to tackle real business challenges.
Why Is Generative AI a Top Career Choice in 2026?
Generative AI is the fastest-growing field in technology worldwide. It affects industries such as healthcare and finance. More companies are using LLMs and AI automation. Firms like TCS, Infosys, Wipro, Google, Microsoft, and Amazon are hiring Generative AI experts. Many startups in Hyderabad are also looking for talent. Reports show over 25,000 active Generative AI and ML Engineer jobs in India. Hyderabad, along with Bangalore and Pune, is a major hiring hub.
At Code Zen Eduversity, our Generative AI Course in Hyderabad gives you the skills local IT firms want. You won’t start as a novice; you’ll grow into a capable Generative AI professional. You’ll be ready to build, deploy, and manage LLM-powered applications on your own.
Generative AI Engineer Roadmap (2026)
1️⃣
AI & ML Foundations
Introduction to Generative AI, AI vs ML vs DL vs NLP, Supervised, Unsupervised & Reinforcement Learning, Ethical Considerations
2️⃣
Python for AI
Python Basics, IDEs, Virtual Environments, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Data Preprocessing
3️⃣
NLP & Deep Learning
Tokenization, Stemming, Lemmatization, Word2Vec, GloVe, BERT, ELMo, FastText, Word Embeddings
4️⃣
Advanced Deep Learning
GANs, VAEs, RNNs, LSTMs, Transformer Architecture, Attention Mechanism, N-grams, Hidden Markov Models
5️⃣
Prompt Engineering
OpenAI API Setup, Text Generation, Image Generation, Embeddings, API Integration with Applications
6️⃣
LLM Models
GPT, LLaMA, Falcon, Google FLAN, LLM Fine-tuning, Scaling, Text Generation with Different Parameters
7️⃣
Langchain & RAG
Langchain Components, Agents, LlamaIndex, RAG Pipelines, Chatbot Development, Advanced RAG Techniques
8️⃣
Capstone & Deployment
Vector Databases, Document Chunking, LLM Evaluation Metrics, Real-World Capstone Project, Certification Prep
Why Choose Code Zen Eduversity for Generative AI Course in Hyderabad?
What sets our Generative AI Course apart from other AI training institutes in Hyderabad.
Real-World AI Projects
Build real AI apps like chatbots, RAG pipelines, and LLM tools. Graduate with a GitHub portfolio that stands out to IT hiring managers.
7+ Years Experienced Trainers
Learn from experts who create and deploy AI solutions at top MNCs. Gain practical insights, model reviews, and industry best practices beyond theory.
Small Batches
Receive personalized attention in our small batches. These groups offer direct help, guidance, and code reviews. Larger classes can't provide this level of support.
Placement Assistance
Our placement cell supports you with ATS-friendly resumes, mock interviews, and soft skills training. We also share job openings in Hyderabad and nearby areas.
Flexible Online & Classroom Modes
Choose between live online sessions or classroom training at our Madhapur center. We offer morning, evening, and weekend batches for students, freshers, and professionals.
Lifetime Community Access
Get 1 year access to recorded classes, course materials, lab exercises, and our alumni community. Keep learning, networking, and receiving job updates after course completions.
Generative AI Course Curriculum
Industry-aligned syllabus covering 10+ GCP tools, from cloud fundamentals to infrastructure automation. Updated for 2026 hiring requirements.
- Introduction to Generative AI.
- AI vs ML vs DL vs NLP vs Generative AI.
- Generative AI principles.
- What is the role of ML in Gen-AI?
- Different ML techniques (Supervised, Unsupervised, Semi-supervised & Reinforcement Learning).
- Applications in various domains.
- Ethical considerations.
- Python basics- installations, IDE’s, Virtual env,
- Probability and Statistics
- Linear algebra
- Python Libraries – Numpy, Pandas, Scikit learn, Matplotlib and Seaborn, and other libraries
- Data Preprocessing and Advanced concepts required for GenAI
- AI vs ML vs Generative AI
- What is Machine learning in Generative AI
- Supervised Machine learning with GenAI
- Unsupervised Machine learning with GenAI
- Semi-supervised learning and Reinforcement
- Self-supervised learning in GenAI
- Reinforcement learning with Human feedback
- Generative AI principles
- Types of GenAI models
- Applications in various domains
- Ethical considerations
- NLP essentials
- Basic NLP tasks
- Tokenization, Stemming, Lemmatization, Lower casing, Removing punctuations
- Word embeddings
- Word2Vec
- Glove
- FastText
- BERT
- ELMo
- GANs – Generative Adversarial Network
- VAE’s – Variational Autoencoders
- N-grams
- RNNs -Recurrent Neural Networks
- Long Short-Term Memory (LSTM) Networks
- HMS- Hidden Markov Models
- Transformer Architecture
- Attention Mechanism, Autoencoders
- How to create Openai API
- How to integrate OpenAI API key with the applications
- OpenAI’s Text generation
- OpenAI’s Image generation
- OpenAI’s Embeddings
- What are Vectors?
- What are Vector Databases?
- Why do we need Vector databases?
- Applications of Vector databases?
- Different types of Vector databases – Cloud-based, Open-source Vector database
- Cloud-based – Pinecone, Amazon Neptune with Vector Extensions, Azure Cosmos DB with Vector Search
- Opensource: Milvus, Chroma and Faiss
- Introduction to Responsible AI
- Defining Responsible AI
- Importance in the Current Technological Landscape
- Ethical Foundations and Principles
- Key Ethical Principles (Fairness, Accountability, Transparency)
- Understanding and Mitigating Bias in AI
- Overview of LLM and Foundational ModelsArchitecture of Large Language Models
- Text AI LLMs (GPT-3, GPT-3.5, GPT-4, GPT-4.5 Turbo LaMDA, LLaMA, Stanford Alpaca, Google FLAN, Poe, Falcon LLM)
- Getting Started with LLM and their Infra
- LLM text generation program using GPT models using OpenAI
- LLM finetuning and scaling
- LLM text generation finetuning with different parameters
- Why finetuning is actually required
- What is Langchain
- What are the core concepts of Langchain
- Components of Langchain
- How to use Langchain agents
- LlamaIndex
- What is RAG
- What are Vector stores, and what are vector databases
- How to build chatbots
- How to Build RAG using Langchain
- Advanced RAG
- What is Chunking
- What is the use of chunking the document
- What are the traditional effective chunking techniques
- What are the problems and limitations of traditional chunking techniques?
- How to overcome the limitations of Traditional chunking
- Advanced chunking techniques:
1. Character splitting
2. Recursive character splitting
3. Document based chunking
4. Semantic Chunking
5. Agentic Chunking
- Text-Based Metrics: Perplexity, BLEU score, ROUGE score, and intrinsic metrics, RAGAS
- Image-Based Metrics: FID, IS
- Human evaluation
- Future Trends and Emerging Technologies: Exploring the latest advancements, predicting future trends, group discussions
- Capstone Projects and Presentations: Teams work on real-world projects, final presentations, certification ceremony
20+ AI Tools & Technologies You'll Master
Meet Your Generative AI Trainer
Learn from an industry professional with real-world enterprise AI and machine learning experience.
Industry Expert Trainer
Industry Expert Trainer Senior AI Engineer & Generative AI Specialist
7+
Years Experience
100+
Students Trained
2+
Enterprise Projects
4.9/5
Avg Rating
Our Generative AI trainer has over 15 years of hands-on experience in creating and launching AI applications. Their skills include Python, LLMs, Langchain, NLP, Deep Learning, and Transformer architectures. They have collaborated with leading banks, telecom companies, and healthcare firms. Complex AI topics become practical skills for the job market.
The teaching focuses on the practical use of AI models rather than theory alone. Each topic features live coding demos, model training guides, and industry examples. Students often say this training is the best in Hyderabad. They value the personal attention and deep practical insights.
Choose Your Generative AI Training Mode
Both modes include identical curriculum, placement support, and industry-recognized certification.
Online Training
Live Interactive Sessions
- 1 Hours Live Training Daily
- 90+ Days Program
- Direct Trainer Interaction
- Recorded Backups
- Morning, Evening & Weekend Batches
- 100% Placement Assistance
Classroom Training
In-Person at Madhapur
- 1–2 Hrs Training + 2 Hrs Lab Practice
- 90+ Days Program
- Face-to-Face Trainer Interaction
- Recorded Backups
- Dedicated Lab Sessions
- 100% Placement Assistance
Our Alumni Works At
Generative AI vs Traditional AI/ML: Which Should You Learn in 2026?
A detailed comparison to help you pick the right AI career path in 2026.
Parameter
Generative AI
Traditional AI/ML
Core Focus
Creating new content (text, images, code, audio)
Predicting outcomes, classification, clustering
Key Models
GPT, LLaMA, BERT, GANs, Transformers
Linear Regression, Random Forest, SVM, XGBoost
Programming
Python, Langchain, OpenAI API, LlamaIndex
Python, Scikit-learn, TensorFlow, Spark
Best For
Chatbots, content generation, RAG apps, AI automation
Data analysis, fraud detection, recommendation engines
Learning Curve
Moderate, API-first approach makes entry easier
Steeper, heavy math and statistics required
Data Handling
Vector Databases (Pinecone, Chroma, Faiss)
SQL, NoSQL, Data Warehouses
Key Skill
Prompt Engineering, LLM Fine-tuning, RAG Pipelines
Feature Engineering, Model Training, Hypertuning
Fresher Salary (Hyderabad)
₹ 3 LPA to 4.5 LPA
₹ 3 LPA to 5 LPA
Mid-Level Salary
₹ 7 to 12 LPA
₹ 8 to 15 LPA
Job Openings (India)
25,000+ (Naukri.com)
25,000+ (Naukri.com)
Top Hiring Companies
Google, Microsoft, Amazon, TCS, Infosys, Startups
TCS, Wipro, Infosys, Accenture, Mu Sigma
Market Growth
Fastest growing AI segment (85%+ YoY growth)
Mature market, steady demand
Our Recommendation: If you want to use the latest AI tools, such as LLM chatbots and RAG pipelines, consider Generative AI. It’s the best career choice for 2026. It’s the fastest-growing area in tech. IT companies in Hyderabad are quickly adopting GPT, Langchain, and vector databases for their solutions. Professionals in Generative AI also earn higher starting salaries than those in traditional ML roles. If you like data analysis, predictive modeling, and statistics, visit our Data Analyst Training in Hyderabad.
Generative AI Engineer Salary in Hyderabad
Generative AI professionals are among the highest-paid IT professionals in Hyderabad.
Fresher (0–1 Year)
₹6 - 12 LPA
Entry-level AI Engineer / Prompt Engineer roles
Mid-Level (2–4 Years)
₹12 – 25 LPA
AI Engineer / LLM Engineer
Senior (5+ Years)
₹20 – 35 LPA
AI Architect / Lead AI Engineer roles
Active Job Openings
25,000+
Generative AI jobs across India (Naukri.com)
Salary by Company Type in Hyderabad
Placement Support & Career Opportunities
Generative AI professionals are among the highest-paid IT professionals in Hyderabad.
ATS-Optimized Resume Building
We craft your resume to pass Applicant Tracking Systems used by 85% of IT firms in Hyderabad. We highlight your AI projects, certifications, and GitHub portfolio. This helps recruiters see your skills clearly.
Technical Mock Interviews
Practice real interview questions on Python, LLMs, Langchain, RAG pipelines, Prompt Engineering, and AI system design. These are key topics that Hyderabad IT companies focus on during hiring.
Soft Skills & HR Preparation
We provide communication training, salary negotiation tips, and body language coaching. We also help with HR round prep. This training can greatly increase your offer conversion rate.
Hiring Details
Our placement team assists you in finding job openings in HITEC City, Gachibowli, Madhapur, and the Financial District. We have positions for AI Engineers and Generative AI Developers.
AI Engineer
₹6 - 15 LPA
Generative AI Developer
₹7 - 18 LPA
Prompt Engineer
₹5 - 14 LPA
NLP Engineer
₹6 - 18 LPA
LLM Engineer
₹8 - 22 LPA
ML Engineer
₹6 - 16 LPA
AI Architect
₹12 - 30 LPA
Generative AI Training Certification
When you finish the Generative AI Course, you earn a certificate. This certificate is recognized in the industry. It comes from Code Zen Eduversity. Our certification highlights your skills in Python, LLMs, Langchain, RAG, Prompt Engineering, Deep Learning, and Vector Databases. These are the AI skills that employers want.
Our certificate is recognized by IT companies in Hyderabad and across India. This includes service firms, product startups, and MNCs. The course prepares you for certifications. You can get ready for the Google Professional Machine Learning Engineer and TensorFlow Developer Certificate exams.
Add this certification to your LinkedIn, resume, and Naukri profile. It will help attract recruiters looking for AI Engineers and Generative AI Professionals in Hyderabad.
Prerequisites for Generative AI Training
There are no prerequisites to join our Generative AI Course at Code Zen Eduversity. The program is open to all graduates. You can enroll in degrees such as B.Tech, BSc, B.Com, BCA, BBA, or BA. Just have a basic understanding of computers.
You don’t need any prior AI or programming experience. Our expert faculty will teach you from scratch. You’ll begin with Python basics and essential AI concepts.
We’ll also teach you advanced topics. These include LLMs, Langchain, RAG pipelines, and Prompt Engineering. The curriculum supports students from non-technical fields, such as Mechanical, Civil, ECE, and EEE. This structured approach helps them finish the course and find jobs.
If you know Python, that’s great! If you understand basic programming ideas like variables, loops, and functions, you’ll have an advantage. The course is also great for professionals. If you have experience in data analysis, software development, or cloud platforms like AWS or Azure, you’ll benefit. The curriculum helps you quickly transition to Generative AI skills.
What Our Students Say About Generative AI Training
Real reviews from graduates who transformed their careers with Code Zen Eduversity.
Skill Covered
NLP & Word Embeddings
Tools & Technologies Cover
Frequently Asked Questions About the Generative AI Course in Hyderabad
Generative AI is a kind of artificial intelligence that creates new content. This includes text, images, code, and audio. It learns patterns from large datasets. Then, it produces original outputs using LLMs, Transformers, and Neural Networks.
The course runs for 90 days. Classes are offered on weekdays and weekends. Students and working professionals can choose from morning, evening, and weekend schedules.
Freshers earn between ₹4 to ₹7 LPA. Mid-level GCP Engineers make Rs. 8 to 18 LPA. Senior Cloud Architects at companies like Google and Amazon can earn Rs. 20 to 35 LPA in Hyderabad.
No, you don’t need any prior experience. The course starts with Python basics and fundamental AI concepts. Students from non-technical backgrounds can also enroll and complete the course.
Yes, Code Zen provides 100% placement assistance. This includes building ATS-optimized resumes, technical mock interviews, soft skills training, and links to over 100 hiring partners in Hyderabad’s IT corridor.
The course covers over 20 AI tools, including Python, TensorFlow, PyTorch, OpenAI API, Langchain, LlamaIndex, GPT, LLaMA, BERT, Pinecone, Chroma, Milvus, Faiss, and Transformers.
For the latest fee structure, contact our admissions team at Code Zen Eduversity, Madhapur. EMI options and early bird discounts are available for eligible students.
Yes, Code Zen offers live online sessions and classroom training at our Madhapur center. Online students receive the same curriculum, trainer access, recorded classes, and placement support.
Graduates can find jobs as an AI Engineer, Generative AI Developer, or NLP Engineer. They can also work as an LLM Engineer, ML Engineer, Prompt Engineer, or AI Architect at top IT companies.
Code Zen has small class sizes, with up to 15 students. Our trainers have over 10 years of experience. We focus on real-world AI projects and hands-on coding practice. Larger institutes with 50+ students can’t provide the same level of attention.
Generative AI focuses on creating new content using LLMs and Transformers. Traditional AI/ML is more about predictions and classifications. Generative AI professionals typically earn higher salaries and experience faster job market growth.
Students will create projects like LLM-powered chatbots, RAG pipelines with Langchain, document chunking systems, vector database applications, and a full capstone project with real-world deployment.