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Generative AI Course in Delhi
Generative AI Course in Delhi (Online Training) – Varnik Technologies
Master the most transformative technology of the decade with our comprehensive Generative AI Course in Delhi. Offered exclusively by Varnik Technologies, this 100% Online, Live Instructor-Led training program is meticulously designed for software developers, data scientists, AI enthusiasts, and career switchers in Delhi NCR who aspire to lead the Artificial Intelligence revolution.
As the tech world shifts rapidly from traditional programming to AI-driven development, mastering Generative AI is no longer optional—it is essential. Our course empowers you to build enterprise-grade Large Language Model (LLM) applications, custom chatbots, and autonomous AI agents. whether you are sitting in Connaught Place, working from a high-rise in Gurgaon, or studying in North Campus, this course brings the cutting-edge silicon valley AI curriculum directly to your screen.
Batch Details – Varnik Technologies
We believe in transparency and planning. Below are the specific details for our upcoming online cohort tailored for learners in the Indian Time Zone.
| Feature | Details |
| Trainer Name | Mr. S. Reddy (Senior AI Architect) |
| Trainer Experience | 12+ Years in Data Science & LLM Development |
| Next Batch Date | 29th January 2026 (Thursday) |
| Training Mode | Online (Live Instructor-Led via Zoom/Teams) |
| Course Duration | 10 Weeks (Sat-Sun Intense / Mon-Fri Fast Track) |
| Time Slots | Morning: 7:00 AM – 8:30 AM | Evening: 8:00 PM – 9:30 PM |
| Language | English (with Hindi support for doubt clearance) |
| Contact Details | +91 7330719292 | info@varniktech.com |
| Demo Class | [Book Your Free Live Demo Here] |
Course Overview
Generative AI has fundamentally changed how software is built and how businesses operate. At Varnik Technologies, our Generative AI Course provides a deep dive into the architecture, training, and deployment of modern AI models. This is not just a theoretical overview; it is a rigorous, hands-on engineering program.
The curriculum is structured to take you from the fundamentals of Natural Language Processing (NLP) to advanced implementations of Retrieval-Augmented Generation (RAG) and Agentic Workflows. You will learn how models like GPT-4, Llama 3, and Claude work under the hood, and more importantly, how to integrate them into your own applications securely and efficiently.
Key Conceptual Areas We Cover:
- Foundation Models: Understanding the Transformer architecture (Attention mechanisms, Encoders/Decoders) which forms the backbone of all modern GenAI.
- Prompt Engineering & Optimization: Moving beyond basic prompts to advanced techniques like Chain-of-Thought (CoT), Tree-of-Thought, and ReAct frameworks to get precise outputs from models.
- Vector Databases & Embeddings: Learning how to give AI “long-term memory” using vector stores like Pinecone, ChromaDB, and Weaviate—crucial for building chatbots that know your specific business data.
- Framework Mastery: Gaining proficiency in LangChain and LlamaIndex, the two most critical libraries for connecting LLMs to external data sources and APIs.
This course is delivered entirely online, ensuring that you can access world-class instruction without being bound by geography. We simulate a professional AI lab environment where every concept taught is immediately followed by a coding exercise.
Why Learn Generative AI in Delhi?
Delhi NCR is currently witnessing a massive technological pivot. As the political and corporate capital of India, the region is home to a unique blend of government tech initiatives, massive MNC regional headquarters, and a thriving startup ecosystem in Gurgaon and Noida.
IT & Job Market Relevance in Delhi NCR
The tech landscape in Delhi is shifting from traditional IT services to high-value product development. Companies in Cyber City (Gurgaon) and Sector 62 (Noida) are aggressively transitioning their legacy systems to AI-first architectures.
- Startups: Delhi NCR has one of the highest concentrations of Unicorn startups in India. These agile companies are the early adopters of GenAI, using it to automate customer service, generate marketing content, and analyze financial data.
- MNCs & GCCs: Global Capability Centers (GCCs) in the region are setting up dedicated “AI Centers of Excellence.” They are looking for professionals who understand not just data science, but specifically how to fine-tune Large Language Models for enterprise use cases.
Demand for Automation & Testing Professionals
The role of the traditional developer is evolving. The market in Delhi is now demanding “AI-Augmented Developers.”
- Shortage of Talent: While there are many Python developers in Delhi, there is a severe shortage of engineers who understand Semantic Search, RAG Pipelines, and Fine-Tuning.
- High Salary Potential: Due to this scarcity, professionals with certified GenAI skills are commanding a 30-50% higher salary premium compared to their peers in traditional full-stack or backend roles. Recruiters in the Delhi region are actively headhunting for these niche skills on LinkedIn and job portals.
Why Choose Varnik Technologies?
In a sea of recorded courses and generic tutorials, Varnik Technologies stands out by offering a mentorship-driven approach. We understand that Generative AI is complex—models hallucinate, deployments fail, and costs can spiral if not managed correctly. You need an expert to guide you through these pitfalls.
- Trainer Expertise: Our lead trainer, Mr. S. Reddy, brings over a decade of experience. He doesn’t just teach; he consults for major enterprises. This means you learn industry best practices, not just textbook theory. You will learn how to handle data privacy, reduce API costs, and ensure model safety.
- Real-Time Projects: We believe in “Learning by Doing.” During the course, you will build projects relevant to the Delhi market, such as:
- A Legal Document Summarizer for Indian Law contexts.
- A Customer Support Bot for an E-commerce platform.
- An HR Resume Screener using LLMs.
- Comprehensive Online Support: Learning online doesn’t mean learning alone. We provide:
- Direct Access: Q&A sessions at the end of every live class.
- Community Access: A private Slack/Discord group where students collaborate, share API keys, debug errors, and discuss the latest AI papers.
- LMS Access: Lifetime access to all class recordings, presentation decks, and code repositories (GitHub).
- Career Guidance: We assist with resume restructuring to highlight “Generative AI” keywords that get picked up by Applicant Tracking Systems (ATS). We also conduct mock interviews focusing on the specific questions asked by tech companies in the Delhi-NCR region.
Advantages of Online Training
For learners in a bustling metropolitan area like Delhi, Online Live Training is not just a convenience—it is the most strategic way to learn.
- Flexibility for Working Professionals: Most of our students are working professionals in Noida, Gurgaon, or Delhi. Our weekend and early morning batches allow you to upskill without disrupting your 9-to-5 job.
- Escape the Delhi Traffic: Commuting from West Delhi to Gurgaon or Noida can take hours. Our online model saves you this valuable time, allowing you to invest those hours into coding and practicing your new AI skills instead of sitting in traffic.
- Live Instructor-Led Sessions: This is the core of our offering. Unlike pre-recorded courses (Coursera/Udemy) where you are a passive observer, our classes are interactive. If you don’t understand how “Temperature” affects an LLM’s output, you can stop the trainer and ask immediately.
- Ideal for Students & Career Switchers: Whether you are a fresh graduate from IP University or a manual tester looking to switch to AI engineering, our online platform provides a safe, inclusive environment to start from scratch. We provide setup assistance to ensure your local machine is ready for AI development, regardless of your hardware.
Detailed Course Curriculum
At Varnik Technologies, our Generative AI course curriculum is meticulously crafted to bridge the gap between theoretical AI concepts and industry-grade application development. We update our syllabus every month to include the latest advancements in Large Language Models (LLMs) and Generative frameworks. The training is structured into three progressive levels to ensure a smooth learning curve for all participants in Delhi and across India.
Beginner Level Modules (Weeks 1-3)
Module 1: Foundations of Python for AI
Before diving into complex AI models, we ensure your programming base is solid. This module acts as a refresher for Python, specifically tailored for Data Science and AI development.
- Python Essentials: Data structures (Lists, Dictionaries, Sets), Control Flow, and Functions.
- Data Manipulation: Mastering Pandas and NumPy for handling large datasets, which is crucial for pre-processing text data.
- Data Visualization: Using Matplotlib and Seaborn to visualize data distributions and model performance metrics.
Module 2: Mathematics for Generative AI
Generative AI isn’t magic; it’s math. We demystify the equations behind the models without overwhelming you.
- Linear Algebra: Understanding Vectors, Matrices, and Tensors—the language of AI models.
- Probability & Statistics: Concepts of probability distributions, Bayes’ theorem, and statistical significance used in model evaluation.
- Calculus Basics: Understanding Gradient Descent and Backpropagation intuition (how models learn).
Module 3: Introduction to Deep Learning & NLP
- Neural Networks 101: Perceptrons, Multi-Layer Perceptrons (MLP), and Activation Functions (ReLU, Sigmoid, Softmax).
- Natural Language Processing (NLP): Tokenization, Stemming, Lemmatization, and Stop Words removal.
- Word Embeddings: Understanding how machines understand text using Word2Vec, GloVe, and modern Contextual Embeddings.
Intermediate Level Modules (Weeks 4-7)
Module 4: The Transformer Architecture
This is the heart of modern Generative AI. We break down the revolutionary “Attention Is All You Need” paper.
- Encoder-Decoder Architecture: How sequence-to-sequence models work.
- Self-Attention Mechanism: How models learn context and relationships between words in a sentence.
- Evolution of LLMs: The journey from RNNs and LSTMs to BERT, GPT-1, GPT-2, GPT-3.5, and GPT-4.
Module 5: Prompt Engineering & API Integration
Learn the art of communicating with AI models effectively to get precise outputs.
- Prompting Strategies: Zero-shot, Few-shot, and Chain-of-Thought (CoT) prompting.
- Advanced Prompting: Tree of Thoughts, ReAct (Reasoning + Acting), and avoiding Hallucinations.
- OpenAI API Mastery: accessing GPT models programmatically using Python. Managing tokens, temperature, top_p, and frequency penalties.
Module 6: Building Applications with LangChain
LangChain is the industry-standard framework for building LLM applications.
- Chains & Agents: creating sequences of calls to LLMs and other utilities.
- Memory Management: How to give chatbots conversational memory (Short-term vs. Long-term).
- Tools & Toolkits: Connecting LLMs to Google Search, Wikipedia, and Calculators.
Advanced Level Modules (Weeks 8-10)
Module 7: Retrieval-Augmented Generation (RAG)
Solve the “knowledge cutoff” problem by connecting LLMs to your own private data.
- Vector Databases: Setting up and querying Pinecone, ChromaDB, and Weaviate.
- Embeddings in Practice: Converting PDFs, text files, and Notion docs into vector embeddings.
- Building a RAG Pipeline: Creating a “Chat with your PDF” application from scratch.
Module 8: Fine-Tuning LLMs
When prompt engineering isn’t enough, you need to customize the model itself.
- Instruction Fine-Tuning: Training models to follow specific instructions for niche tasks.
- Parameter-Efficient Fine-Tuning (PEFT): Using LoRA (Low-Rank Adaptation) and QLoRA to fine-tune massive models like Llama-3 on consumer hardware (Google Colab).
- Hugging Face Ecosystem: utilizing the Hugging Face Hub for datasets and pre-trained models.
Module 9: Deployment & Ethics
- Deploying AI Apps: Hosting your Streamlit or Chainlit application on cloud platforms (AWS/GCP/Render).
- Model Optimization: Quantization techniques to run models faster and cheaper.
- AI Ethics: Understanding bias, toxicity, and responsible AI practices in deployment.
Tools & Technologies Covered
Our course ensures you are hands-on with the exact tech stack used by top AI companies in Delhi NCR and Silicon Valley.
- Programming Language: Python (3.10+)
- LLM Frameworks: LangChain, LlamaIndex
- Model Hubs: Hugging Face, OpenAI API, Anthropic Claude
- Vector Databases: Pinecone, ChromaDB, FAISS
- Deep Learning Libraries: PyTorch, TensorFlow (Introductory)
- Deployment Tools: Streamlit, Gradio, Docker, FastAPI
- Version Control: Git & GitHub
Real-Time Projects & Practical Use Cases
At Varnik Technologies, we believe theory is useless without application. Throughout the online training, you will build portfolio-worthy projects that simulate real-world scenarios faced by companies in Gurgaon and Noida.
Project 1: Intelligent HR Resume Screener
- Problem: HR teams in Delhi receive thousands of resumes. Manually screening them is time-consuming.
- Solution: Build an AI tool that parses PDF resumes, extracts key skills using an LLM, and matches them against a Job Description (JD).
- Tech Stack: Python, PyPDF2, OpenAI API, Streamlit.
- Learning Outcome: Mastering text extraction and structured output generation from LLMs.
Project 2: "Chat with Your Data" (RAG System)
- Problem: Employees spend hours searching through internal company wikis and PDFs to find policy information.
- Solution: Create a chatbot that can answer questions based only on a specific set of uploaded internal documents, citing sources.
- Tech Stack: LangChain, Pinecone (Vector DB), OpenAI Embeddings.
- Learning Outcome: Deep understanding of Embeddings, Vector Search, and Context Window management.
Project 3: Automated Customer Support Agent
- Problem: E-commerce businesses need 24/7 support but cannot afford large human teams.
- Solution: Develop a conversational AI agent that can handle queries, check order status (mock API), and escalate complex issues.
- Tech Stack: LangChain Agents, Custom Tools, Memory.
- Learning Outcome: Building autonomous agents that can take actions, not just talk.
Project 4: Fine-Tuning Llama-3 for Code Generation
- Problem: Generic models might not write code in a specific proprietary language or style.
- Solution: Fine-tune an open-source Llama-3 model on a specific dataset of code snippets to improve its coding abilities for a niche language.
- Tech Stack: Hugging Face Transformers, LoRA, Google Colab T4 GPU.
- Learning Outcome: Advanced model customization and optimization techniques.
Who Can Enroll in This Course
The Generative AI revolution is inclusive. Our online training is designed to cater to a wide range of learners, from freshers to veterans.
Fresh Graduates
- Target Audience: B.Tech / B.E / BCA / MCA graduates (2023-2026 pass-outs) from colleges in Delhi (IPU, DU, DTU) and across India.
- Why Join: The entry-level market for traditional coding is saturated. Specializing in GenAI gives you a massive competitive advantage. You will graduate not just with a degree, but with a portfolio of AI projects that most experienced developers don’t yet have.
- Prerequisite: Basic aptitude and willingness to learn Python.
Working Professionals
- Target Audience: Software Developers, QA Engineers, Data Analysts, and System Admins working in Noida, Gurgaon, or Bangalore.
- Why Join: Automation is reshaping the IT industry. Manual testing and basic CRUD development roles are at risk. Upskilling to GenAI allows you to transition into “AI Engineer” or “ML Ops” roles, which offer significantly higher job security and salary hikes (typically 30-60%).
- Flexibility: Our weekend batches are specifically timed for your convenience.
Non-IT Background Learners
- Target Audience: Product Managers, Digital Marketers, Content Writers, and Business Analysts.
- Why Join: You don’t need to be a hardcore coder to benefit from AI. Understanding how to use and integrate these tools can make you a 10x more productive employee.
- Focus: For this group, we emphasize “Prompt Engineering” and “No-Code/Low-Code AI Tools” (like Flowise or LangFlow) during the project phases, ensuring you can build prototypes without writing complex code.
Career Opportunities After Course Completion
The rise of Generative AI has created an entirely new category of job roles that did not exist three years ago. Companies in Delhi NCR, particularly in hubs like Gurgaon (Cyber City) and Noida (Sector 62), are aggressively hiring for these niche profiles.
Job Roles
Upon completing this course, you will be eligible for the following high-demand designations:
- Generative AI Engineer: Build and deploy applications using LLMs and RAG architectures.
- Prompt Engineer: Design and optimize prompts to get the best output from models like GPT-4 and Claude.
- AI Application Developer: Integrate AI models into existing web/mobile apps using APIs.
- AI Product Manager: Oversee the development of AI-driven products, bridging the gap between business and tech.
- NLP Specialist: Focus on fine-tuning models for specific languages or legal/medical domains.
Salary Ranges in India
Generative AI professionals currently command a significant premium over traditional software engineers due to the scarcity of talent. Below are realistic salary estimates based on current market trends in Indian metros (Delhi, Bangalore, Hyderabad).
| Experience Level | Job Role | Estimated Salary Range (LPA) |
| Fresher (0-2 Years) | Jr. AI Engineer / Prompt Engineer | ₹6.0 LPA – ₹12.0 LPA |
| Mid-Level (3-5 Years) | Generative AI Developer / Data Scientist | ₹15.0 LPA – ₹25.0 LPA |
| Senior (5-8 Years) | Sr. AI Engineer / AI Architect | ₹28.0 LPA – ₹45.0 LPA |
| Leadership (8+ Years) | Principal AI Scientist / CTO | ₹50.0 LPA – ₹1 Cr+ |
Note: Salaries in product-based startups in Gurgaon often exceed these averages.
Certification & Learning Outcomes
Upon successful completion of the training and project work, you will be awarded the Varnik Technologies Certified Generative AI Professional credential.
- Industry Recognized: Our certification validates that you have hands-on experience with modern tools like LangChain, Vector DBs, and Hugging Face, not just theoretical knowledge.
- Sharable Credentials: You will receive a digital badge and certificate that can be added to your LinkedIn profile to attract recruiters.
- Portfolio Development: More important than the certificate is your GitHub portfolio. You will graduate with 4+ live projects (e.g., “Legal Document Chatbot,” “HR Auto-Screener”) that serve as proof of your skills during interviews.
Certification for Generative AI Course in Delhi at Varnik Technologies
Placement & Career Support
We understand that learning is only half the journey; getting hired is the ultimate goal. Varnik Technologies provides dedicated career support for learners in Delhi and across India.
- Resume Building: We help you restructure your resume to highlight “Generative AI” keywords (e.g., Transformers, RAG, Fine-Tuning) that bypass Applicant Tracking Systems (ATS).
- Mock Interviews: Participate in 1:1 mock technical interviews with industry experts who will grill you on questions actually asked in companies like Microsoft, Google, and top Delhi-based startups.
- Referral Network: We actively refer high-performing students to our network of hiring partners and recruitment consultants in Delhi NCR, Bangalore, and Hyderabad.
- Freelance Guidance: For those interested in side hustles, we teach you how to find high-paying GenAI gigs on platforms like Upwork.
Why Online Training is Best for Learners in Delhi
For residents of Delhi NCR, our Online Live Instructor-Led model is strategically superior to offline classroom coaching.
- Beat the Pollution & Traffic: Delhi’s air quality and traffic congestion are major productivity killers. Save 2-3 hours of daily commute time by learning from home.
- Access to Global Talent: Offline institutes in Delhi are limited by the trainers available locally. Our online platform connects you with the best AI Architects from across India and the globe, regardless of their location.
- Cost-Effective: By avoiding the overheads of a physical training center in expensive areas like South Delhi or Connaught Place, we pass the cost savings to you in the form of affordable fees.
- Repeatable Learning: Unlike a physical classroom where a missed lecture is gone forever, every single one of our sessions is recorded and uploaded to your portal for lifetime access.
Frequently Asked Questions (FAQ)
1. Do I need strong coding skills to join this course?
Basic knowledge of Python (variables, loops, functions) is required. If you are new to Python, we provide a complimentary “Python for AI” pre-recorded module to get you up to speed before the live classes begin.
2. Will we work on real LLMs like GPT-4 and Llama?
Yes. You will get hands-on experience using OpenAI’s API (GPT-3.5/4) and open-source models like Meta’s Llama-3 and Mistral via Hugging Face.
3. Is this course suitable for non-IT backgrounds?
Yes. We have successfully trained Product Managers and Digital Marketers. For non-coders, we focus on “No-Code AI” tools (like Flowise) and Prompt Engineering, which require logical thinking rather than heavy programming.
4. What if I miss a live class due to office work?
All live sessions are recorded and uploaded to the LMS portal within 4 hours. You can watch the recording and ask doubts in the next session or via our dedicated Slack community.
5. Do I need a powerful laptop with a GPU?
No. We use cloud-based platforms like Google Colab (Free Tier) and Kaggle Kernels for training models. A standard laptop with 8GB RAM and a decent internet connection is sufficient.
6. How is this different from a Data Science course?
Traditional Data Science focuses on statistics, prediction, and analysis. This course focuses specifically on Generative AI—creating new content (text/code/images) and building applications using LLMs, which is the current market trend.
7. Does Varnik Technologies provide job guarantees?
No honest institute can “guarantee” a job. However, we provide 100% Placement Assistance. This includes resume prep, interview coaching, and referrals to hiring partners in Delhi NCR.
8. What is the duration of the course?
The course runs for 10 weeks. Weekend batches (Sat-Sun) are 2.5 hours per day, while weekday batches (Mon-Fri) are 1.5 hours per day.
9. Will I learn how to build Chatbots?
Absolutely. Building a custom chatbot using RAG (Retrieval-Augmented Generation) is a core project. You will learn to make chatbots that answer questions based on your own PDF/Text data.
10. Can I get a demo class before paying?
Yes, we offer a Free Live Demo Session. It allows you to interact with the trainer, check the teaching quality, and view the curriculum in detail before enrolling.
11. What projects will I work on in this Generative AI course?
You will work on 4+ real-time projects, including building RAG-based chatbots, AI agents for data analysis, and fine-tuning LLMs using private data to solve business problems.
12. Is the Generative AI training available online for Delhi students?
Yes, we offer 100% live instructor-led online training for students in Delhi. This allows you to attend interactive sessions from home with real-time doubt clearing and lifetime access to class recordings.
Last updated: February 2026
