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Generative AI Course in Mumbai
Generative AI Course in Mumbai (Online Training)
– Varnik Technologies
Unlock the power of Large Language Models (LLMs), Prompt Engineering, and Neural Networks with the most comprehensive Online Generative AI Course in Mumbai. Delivered by Varnik Technologies, this live, instructor-led program is meticulously designed for software developers, data scientists, and ambitious career switchers in Mumbai who refuse to be left behind by the AI revolution.
Hero Introduction
In the rapidly evolving tech landscape of 2026, Generative AI is no longer a futuristic concept—it is a mandatory skill. Our course offers a deep dive into the architecture of modern AI, allowing you to build, fine-tune, and deploy sophisticated AI agents from the comfort of your home. While the training is 100% Online, the curriculum is tailored to meet the hiring standards of Mumbai’s top-tier tech firms, fintech giants, and media houses. Whether you are in Andheri, Powai, Navi Mumbai, or Thane, this course connects you to the global AI ecosystem without the hassle of a daily commute.
Batch Details – Varnik Technologies
We value transparency and your time. Below are the specific details for the upcoming cohort. Please note that our batches are strictly Live Instructor-Led to ensure personalized attention; we do not sell pre-recorded static videos.
| Feature | Details |
| Trainer Name | Mr. S. Sharma (Principal AI Architect) |
| Trainer Experience | 12+ Years in Data Science & GenAI |
| Next Batch Date | 28th January 2026 (Registrations Open) |
| Training Mode | Online (Live Interactive via Zoom/Meet) |
| Course Duration | 3 Months (Weekends & Weekday Slots Available) |
| Class Timings | 07:00 AM – 09:00 AM IST (Ideal for Professionals) |
| Contact Details | +91 7330619292 | info@varniktechnologies.com |
| Demo Class | [Click Here to Book Your Free Live Demo] |
Course Overview
The Generative AI Online Training by Varnik Technologies is not just a coding bootcamp; it is a strategic Career Accelerator. As businesses shift from “Predictive AI” (analyzing what happened) to “Generative AI” (creating new content/data), the industry faces a massive shortage of skilled engineers who understand the “how” and “why” behind models like GPT-4, Llama 2, and Claude.
What You Will Master:
This course provides a rigorous walkthrough of the Generative AI lifecycle. You will start with the mathematical foundations of Transformers and Attention Mechanisms before moving rapidly into practical implementation.
- Foundation & Architecture: Understand the core mechanics of Neural Networks and Natural Language Processing (NLP) that power today’s LLMs.
- Prompt Engineering: Move beyond basic prompting to advanced techniques like Chain-of-Thought (CoT), Tree-of-Thought, and React prompting to control model outputs precisely.
- LLM Application Development: Learn to build robust applications using frameworks like LangChain and LlamaIndex.
- RAG (Retrieval-Augmented Generation): Master the art of connecting LLMs to your private business data using Vector Databases (Pinecone, ChromaDB, Weaviate), a critical skill for enterprise adoption.
- Fine-Tuning: Learn how to take an open-source model (like Llama or Mistral) and fine-tune it on specific datasets for niche industry use cases.
The Online Advantage:
Our training methodology is built around “Active Learning.” In a traditional classroom, you might just watch a screen. In our Online Live Sessions, you are coding alongside the instructor. If your code breaks, you share your screen, and we debug it together in real-time. This mimics the actual work environment of a GenAI Engineer.
Why Learn Generative AI in Mumbai?
IT & Job Market Relevance in Mumbai
Mumbai is uniquely positioned as the intersection of Finance (Fintech), Entertainment (Media-Tech), and Enterprise Services. The adoption of Generative AI in Mumbai is outpacing many other Indian cities due to the specific needs of these sectors.
- Fintech & Banking (BKC/Lower Parel): Major banks and HFT (High-Frequency Trading) firms are actively hiring GenAI specialists to build automated fraud detection systems, personalized wealth advisory bots, and complex document analysis tools.
- Media & Entertainment (Andheri/Goregaon): Production houses are leveraging GenAI for script analysis, storyboard generation, and video editing automation, creating a niche demand for AI-savvy tech professionals.
- IT Services & Consultancies (Powai/Airoli/Malad): The massive IT parks in Mumbai are pivoting to “AI-First” strategies. Service companies are desperate for engineers who can integrate OpenAI APIs or Azure OpenAI services into legacy systems.
Demand for Automation & Testing Professionals
The role of a software engineer in Mumbai is transforming. It is no longer enough to know Java or Python; you must know how to augment your code with AI.
- Salary Growth: Professionals with “Generative AI” skills in Mumbai are commanding a 40-60% premium over traditional Data Scientists.
- Job Security: Automation is replacing repetitive coding tasks. By learning to build the automation tools, you future-proof your career against displacement.
- Diverse Roles: The demand is not just for “AI Researchers” but for “AI Product Managers,” “Prompt Engineers,” and “AI Solutions Architects.”
Why Choose Varnik Technologies?
Choosing the right mentor is as critical as choosing the right course. Varnik Technologies stands out in the crowded ed-tech space for several reasons:
- Practitioner-Led Training:
Your instructor, Mr. S. Sharma, is not an academician; he is a practicing AI Architect who consults for Fortune 500 companies. You will learn the difference between “textbook code” and “production-grade code.” He shares war stories of deployment failures, latency issues, and cost-optimization strategies that you will never find in pre-recorded tutorials. - Real-Time Industry Projects:
We believe in learning by doing. During the course, you will build portfolio-worthy projects such as:- HR Resume Parser: An AI agent that reads thousands of PDF resumes and shortlists candidates based on natural language queries.
- Customer Support Bot: A context-aware chatbot trained on specific company manuals using RAG.
- Code Generator: A tool tailored for a specific programming language or framework.
- Comprehensive Online Support:
We understand that learning complex math and coding can be daunting.- LMS Access: Get 24/7 access to high-definition recordings of every live class.
- Community: Join our exclusive Slack/Discord channel where alumni and current students discuss the latest papers, debug code, and share job openings.
- Mock Interviews: We conduct domain-specific mock interviews focusing on questions asked by Mumbai-based tech companies.
Advantages of Online Training
For a fast-paced city like Mumbai, Online Training is not just a convenience; it is a necessity. Here is why our model works best for you:
- Beat the Mumbai Traffic:
Traveling from Borivali to Andheri or Thane to Navi Mumbai can take hours. Our online model saves you 10-15 hours a week—time that can be better spent practicing Python code or reading the latest AI research papers. - Global Peer Group:
Our online batches often include professionals not just from Mumbai, but from Bangalore, Hyderabad, the US, and the UK. This diversity enriches classroom discussions, offering you a global perspective on how AI is being adopted across different geographies. - Comfort & Focus:
Learn from your personal setup. Generative AI models often require significant computational resources; working from your own configured machine is often more efficient than using shared lab computers. - Flexible Re-learning:
Did you find the session on “Transformer Architecture” difficult? With online training, you can re-watch the specific segment as many times as you need until the concept clicks.
Detailed Course Curriculum
Our curriculum is dynamic and constantly updated. In the fast-moving world of AI, yesterday’s breakthrough is today’s legacy. We ensure you are learning the specific tools and architectures that Mumbai’s top tech recruiters are testing for in 2026. The course is structured into three progressive levels to ensure a smooth learning curve.
Beginner Level Modules – Foundations of AI & Python
Before diving into complex models, we build a rock-solid foundation. This phase ensures that even if you are coming from a non-data science background, you can grasp the core logic behind AI.
Python for AI
Advanced Python data structures, functions, and libraries (NumPy, Pandas) essential for data manipulation.
Math for GenAI
A practical look at Linear Algebra, Probability, and Statistics—focusing only on what is needed for Neural Networks.
Introduction to Neural Networks
Understanding Perceptrons, Backpropagation, and Activation Functions.
Deep Learning Basics
Building your first models using PyTorch/TensorFlow; understanding Overfitting, Underfitting, and Optimization techniques.
NLP Fundamentals
Tokenization, Stemming, Lemmatization, and Word Embeddings (Word2Vec, GloVe).
Intermediate Level Modules – Transformers & LLMs
This is the core of the course. Here, you will dismantle the “black box” of Generative AI and understand the mechanics of the Transformer architecture that changed the world.
The Transformer Architecture
Deep dive into Self-Attention mechanisms, Encoders, and Decoders (the “T” in GPT).
Pre-trained Models
Exploring BERT, GPT-3, GPT-4, Llama 2, and Mistral. Understanding the differences between Auto-regressive and Auto-encoding models.
Prompt Engineering Strategies
Zero-shot, One-shot, and Few-shot learning. Advanced techniques like Chain-of-Thought (CoT) and ReAct prompting to guide model reasoning.
APIs & Integration
Hands-on practice with OpenAI API, Anthropic Claude, and Hugging Face Inference endpoints.
Vector Databases
Introduction to semantic search and embeddings using Pinecone, ChromaDB, and Weaviate.
Advanced Level Modules – RAG, Agents & Deployment
The final phase focuses on “Enterprise AI”—how to build systems that companies actually pay for. This module separates the hobbyists from the professionals.
RAG (Retrieval-Augmented Generation)
Building pipelines to connect LLMs to external private data (PDFs, SQL databases, Company Wikis) to reduce hallucinations.
LangChain Framework
Mastering Chains, Agents, and Tools to build complex workflows.
Fine-Tuning LLMs
Techniques like PEFT (Parameter-Efficient Fine-Tuning), LoRA (Low-Rank Adaptation), and QLoRA to customize models on consumer hardware.
AI Agents
Building autonomous agents that can browse the web, execute code, and perform multi-step tasks.
Evaluation & MLOps
How to evaluate LLM output using RAGAS and deploy your models using Docker and AWS/Azure Cloud.
Tools & Technologies Covered
We believe in tool-agnostic learning, but industry demand drives our Toolset. You will gain hands-on proficiency with the following stack:
- Programming: Python (3.10+), SQL.
- Deep Learning Frameworks: PyTorch, TensorFlow, Keras.
- LLM Frameworks: LangChain, LlamaIndex, Haystack.
- Model Hubs: Hugging Face Transformers, OpenAI, Google Vertex AI.
- Vector Stores: Pinecone, ChromaDB, FAISS, Weaviate.
- Deployment & Ops: Streamlit, FastAPI, Docker, AWS SageMaker, Weights & Biases (for experiment tracking).
Real-Time Projects & Practical Use Cases
Theory without practice is useless in IT. At Varnik Technologies, every module concludes with a mini-project, culminating in a major Capstone Project. These projects are designed to solve real business problems faced by companies in Mumbai.
Project 1: Domain-Specific Customer Support Bot
- Objective: Build a chatbot for a hypothetical Fintech bank.
- Tech: OpenAI API, LangChain, FAISS.
- Task: The bot must answer user queries based only on the provided banking policy documents, strictly avoiding outside information (hallucination control).
Project 2: Automated Legal Document Summarizer
- Objective: Assist legal teams in analyzing long contracts.
- Tech: Llama 2 (Open Source), Hugging Face, Streamlit.
- Task: Upload a PDF contract and generate a concise summary highlighting “Risk Clauses” and “Payment Terms.”
Project 3: “Text-to-SQL” Data Analyst Agent
- Objective: Allow non-technical managers to query databases using plain English.
- Tech: LangChain Agents, SQL Database.
- Task: Convert a question like “What were the sales in Mumbai last month?” into a valid SQL query, execute it, and return the answer in natural language.
Project 4: Code Generation & Refactoring Tool
- Objective: Boost developer productivity.
- Tech: StarCoder or CodeLlama.
- Task: Build a VS Code extension-style tool that takes legacy code and refactors it into clean, modern Python code with comments.
Who Can Enroll in This Course
The beauty of Generative AI is its versatility. It is an “enabler” technology that enhances almost every job role.
Fresh Graduates
If you are a B.Tech, BCA, or BSc graduate (2024/2025/2026 passed out), this is your golden ticket. The market for generic “Java Freshers” is saturated.
- Advantage: specialized knowledge in GenAI makes you a prime candidate for “AI Associate” and “Jr. Data Engineer” roles.
- Outcome: You will have a portfolio of 4-5 complex projects that distinguishes you from thousands of other graduates.
Working Professionals
Software Engineers, Data Analysts, and Testers with 2 to 10+ years of experience constitute the majority of our learners.
- For Developers: Move from backend/frontend development to “AI Engineering.” Stop fearing AI replacing you and start using AI to amplify your output.
- For Testers: Transition into “AI Testing” or “Prompt Engineering”—roles that require a critical eye and logical thinking, which you already possess.
- For Managers: Understanding GenAI architecture helps you lead technical teams better and make informed decisions about AI adoption in your company.
Non-IT Background Learners
We have successfully trained professionals from Marketing, Finance, and HR backgrounds.
- Requirement: You must have a logical mindset and a willingness to learn Python coding (we start from scratch).
- Application: An HR professional can build a “Resume Screening Bot.” A Marketer can build an “Ad Copy Generator.” We teach you how to build the tools that automate your specific industry workflows.
Career Opportunities After Course Completion
The “AI boom” is not a bubble; it is a fundamental shift in how software is built. Completing this Generative AI Course in Mumbai opens doors to roles that did not even exist two years ago. Companies are scrambling to find talent that can actually build with AI, not just talk about it.
Job Roles
Upon successful completion, you will be eligible for the following high-demand profiles:
- Generative AI Engineer: The primary role. You build applications using LLMs, fine-tune models, and manage the AI tech stack.
- Prompt Engineer: A niche but high-paying role focusing on designing optimal prompts to get consistent, high-quality outputs from AI models for enterprise tasks.
- AI Application Developer: Integrating AI capabilities (chatbots, summarizers, co-pilots) into existing web or mobile apps.
- AI Solutions Architect: Designing the end-to-end infrastructure for enterprise AI adoption, focusing on cost, latency, and security.
- Data Scientist (LLM Specialization): Analyzing large datasets using GenAI tools and creating synthetic data for training.
Salary Ranges in India
Salaries for GenAI professionals in Mumbai are significantly higher than traditional web development roles due to the scarcity of skilled talent.
- Fresh Graduates (0-2 Years): ₹6,00,000 – ₹12,00,000 per annum.
- Mid-Level Professionals (3-5 Years): ₹15,00,000 – ₹28,00,000 per annum.
- Senior Architects/Leads (8+ Years): ₹35,00,000 – ₹60,00,000+ per annum.
(Note: Salaries vary based on prior experience, domain expertise, and interview performance.)
Certification & Learning Outcomes
Your journey with Varnik Technologies concludes with a professional credential that validates your expertise.
- The Certificate: You will receive the “Certified Generative AI Professional” certification from Varnik Technologies. This digital credential is shareable on LinkedIn and verifies your proficiency in Python, LLMs, RAG, and Agentic workflows.
- Portfolio: More important than the paper certificate is your GitHub portfolio. You will graduate with a repository containing code for your 4 Capstone Projects—concrete proof of your skills that recruiters can audit.
- Confidence: You will leave with the ability to look at a complex AI problem, break it down, select the right model, and build a working prototype in days, not months.
Generative AI Course in Mumbai – Certification
Placement & Career Support
We do not sell “job guarantees” because no honest institute can; however, we provide Dedicated Career Assistance to ensure you get the best possible opportunities.
- Resume Transformation: Our experts help you rewrite your resume to highlight “Generative AI” keywords (e.g., Transformers, LangChain, Vector DBs) that pass through Applicant Tracking Systems (ATS).
- Mock Interviews: We conduct rigorous 1:1 mock technical Interviews. We grill you on concepts like “Attention Mechanisms” and “RAG Pipelines” so you are not nervous during the real interview.
- Referral Network: We have a strong network of alumni working in top Mumbai companies like Jio, TCS, Fractal Analytics, and various FinTech startups. We actively push high-performing students’ resumes through internal referrals.
- Interview Scheduling: We notify you of exclusive walk-in drives and remote hiring events specifically for AI roles.
Why Online Training is Best for Learners in Mumbai
While some prefer the “old school” classroom method, 90% of our Mumbai-based learners prefer our Online Live Training for practical reasons:
- Infrastructure: Running Llama 2 or Falcon models often requires cloud GPUs (Google Colab Pro, AWS). You cannot do this easily in a generic computer lab. Learning on your own machine teaches you how to manage environments and cloud resources effectively.
- Traffic Avoidance: Saving 2 hours of daily travel on the Western Express Highway or Local Train translates to 120 hours of extra study time over the course duration.
- Recording Access: In an offline class, if you zone out for 5 minutes, you miss the concept. In our online class, you have the recording to replay that complex “Backpropagation” explanation as many times as you want.
FAQs - Generative AI Course in Mumbai
1. Do I need a high-end laptop with a GPU to join this course?
No. We teach you how to use cloud-based environments like Google Colab (Free/Pro) and Kaggle Kernels. A standard laptop with 8GB RAM and a decent internet connection is sufficient.
2. I am from a non-coding background. Can I learn Generative AI?
Yes, but you must be willing to put in extra effort. We start Python from scratch, but the learning curve is steep. If you are logical and persistent, you can master it.
3. Is this course recorded or live?
This is strictly Live Instructor-Led Training. You interact with the trainer in real-time. Recordings are provided only for revision purposes.
4. How is this different from a Data Science course?
Data Science focuses on analyzing existing data (statistics, visualization). Generative AI focuses on creating new data (text, code, images). This course is specialized for the latter, covering LLMs and Transformers which are rarely covered in depth in general Data Science courses.
5. Will you cover ChatGPT or coding?
We cover both. You will learn how to use ChatGPT professionally, but more importantly, you will learn how to build applications using the OpenAI API (the code behind ChatGPT) and open-source models.
6. What if I miss a live class?
You will have access to the class recording within 4 hours of the session completion. You can watch it and ask doubts in the next session or via our Slack community.
7. Do you provide placement guarantees?
We provide 100% Placement Assistance, not a guarantee. We equip you with the skills, portfolio, and interview prep needed to get hired, but cracking the interview is your effort.
8. Is the fee refundable?
We advise checking our specific refund policy on the registration page. Generally, we allow a refund request only within the first 2 sessions if you are unsatisfied.
9. Can I pay the fee in installments?
Yes, Varnik Technologies offers flexible EMI options to make the course accessible to everyone. Contact our counselor for the breakdown.
10. How long will I have access to the course materials?
You get Lifetime Access to the Learning Management System (LMS), including recordings, code files, and PDF notes.
11. What tools are covered in this Generative AI Course in Mumbai?
You will learn to work with industry-standard tools including Python, OpenAI API, LangChain, Hugging Face Transformers, LlamaIndex, and Vector Databases like Pinecone, ensuring you are job-ready.
12. Is this Generative AI training available online or in the classroom?
This course is delivered via Live Interactive Online Training, allowing learners in Mumbai to attend real-time sessions from home while avoiding daily traffic, with full access to recordings and mentor support.
Last updated: February 2026
