Generative AI Product Engineer Course in Bangalore | Build AI Apps & Products | Knowx Innovations
📞 +91-98860-94611 ⚡ Enrol Now
New Batch · Limited Seats · Bangalore
✨ Course + Internship · University Mandate
Generative AI Product Engineer · 8-Week Program

GENERATIVE
AI PRODUCT
ENGINEER

"Stop Using AI Tools. Start Building AI Products."

Most professionals use ChatGPT. Very few know how to build with it. This program bridges that gap — you build 10 real Generative AI products using LLMs, RAG pipelines, AI Agents, and cloud deployment in 8 weeks.

Graduate with a GitHub portfolio, a verified certificate, and an internship credential — ready for roles paying ₹12L–₹40L PA.

✓ Live sessions · Recorded access · Same fee for both modes

🎓 ECE / CSE / EEE Students
📚 Pursuing BE / BTech
💼 Freshers & Graduates
🚀 Startup Builders
⚙️ Working Professionals
⚡ Book Free Counselling 📄 View Curriculum
🔒 Free · No commitment · Reply in 24 hrs
₹12L–₹40L
Salary range for Generative AI Product Engineers across India's AI-first companies and startups
10 Products
Real AI products — LLM apps, RAG systems, AI agents, SaaS tools — built and deployed by you
8 Weeks
From fundamentals to Certified Generative AI Product Engineer — with a portfolio to prove it
2 Certificates
Course Certificate + Internship Certificate as per university norms
ECE · CSE · EEE · IT
Online & Offline · Bangalore
Live Mentorship
Internship Certificate
Placement Support
Flexible EMI
Certified · AI Product Program · 2025
About This Program

Why This Is the Most Practical
Generative AI Course in Bangalore

Generic AI courses teach you to use ChatGPT, write prompts, and call APIs. That is a starting point — not a career differentiator. This program focuses on what comes next: building production-grade AI products using LLMs, RAG architecture, AI Agents, and cloud deployment. The difference is not what you learn — it is what you ship.

🔴 What Generic AI Courses Cover
Prompt engineering and ChatGPT tool usage
Basic Python and introductory ML concepts
API calls to OpenAI — no real product built
No deployment, no RAG, no AI Agents, no SaaS architecture
Certificate without portfolio — no verifiable outcome
✅ What This Program Delivers
LLM product engineering — RAG, Agents, fine-tuning, multi-modal AI
Production deployment on AWS / GCP / Azure with FastAPI backend
AI SaaS architecture — auth, billing, user management, scalable APIs
10 real AI products across 5 industry domains — deployed, not simulated
Course Certificate + Internship Certificate + GitHub portfolio
Definition — Indexed for AI Search

What is a Generative AI Product Engineer?

Generative AI refers to artificial intelligence systems that generate new content — text, code, images, audio — using large language models trained on vast datasets. A Generative AI Product Engineer goes beyond using these systems: they design and build production-grade AI applications using LLMs, RAG pipelines, AI Agents, vector databases, and cloud infrastructure. They engineer products that solve specific business problems at scale — AI chatbots, document intelligence tools, AI SaaS platforms, automation agents, and intelligent workflows. Engineers who can build these systems — not just prompt them — are the rarest and most in-demand AI professionals in India's current market.

"There are millions of people using AI tools. There are very few who can build the AI products those people depend on. This program exists to produce the latter."

Master 50+ Industry Tools

The Complete Stack of a Generative AI Product Engineer

Every tool in this curriculum is applied to build a real AI product. From LLM APIs and vector databases to cloud deployment and SaaS architecture — the complete production stack, not a curated selection of basics.

🧠 LLMs & AI Frameworks
OpenAI GPT-4oClaude APIGeminiMistralLLaMA 3LangChainLlamaIndexHuggingFaceCrewAIAutoGenOllamaDSPy
🗄️ Vector DBs & RAG Stack
PineconeWeaviateChromaFAISSQdrantpgvectorEmbedding ModelsSemantic SearchHybrid SearchRe-rankingDocument Loaders
⚙️ Backend & Deployment
FastAPIPythonDockerAWS LambdaGCP Cloud RunVercelStreamlitGradioRedisPostgreSQLSupabaseGit & GitHub
🚀 SaaS, AI Automation & Monitoring
Next.jsStripe APIAuth0LangSmithLangFusen8nZapier AIMake.comWebhook PipelinesPrompt Versioning
Disclaimer: Tools, platforms, and technologies referenced in this program are subject to change based on industry developments and resource availability. Instructors may incorporate alternative tools where appropriate. Core learning outcomes and project deliverables remain consistent across all sessions.
Curriculum Snapshot

8 Weeks · 10 Real AI Products · Zero Theory-Only Sessions

Every week ends with a deployed AI product. Structured in three phases: Foundation (LLM fundamentals + RAG), Product Development (5 industry AI products), and Advanced Systems (AI Agents + SaaS + Capstone).

🏗️ Phase 1 — Foundation Builder
Weeks 1–3 · 3 Foundation Products
Skills You Master
LLM Architecture & TransformersOpenAI API IntegrationClaude & Gemini APIsAdvanced Prompt EngineeringChain-of-Thought PromptingFew-Shot LearningToken ManagementSystem Prompts & Roles
🤖 Week 1 Product
AI Customer Support Chatbot
Full-stack AI support agent built with OpenAI API and Streamlit. Context-aware multi-turn conversations. Custom system prompt, escalation logic, and response quality controls. Deployed live — accessible via URL on Day 5.
Skills You Master
RAG Architecture DesignEmbedding ModelsPinecone & ChromaSemantic SearchHybrid Search & Re-rankingDocument Chunking StrategiesLangChain RAG PipelineLlamaIndex
🤖 Week 2 Product
AI Document Intelligence System
Uploads any PDF, contract, or policy document. RAG pipeline answers questions from the document with citations. Pinecone vector storage. Handles 500-page documents. Built for legal, finance, and HR use cases.
Skills You Master
FastAPI Backend DevelopmentREST API DesignDocker ContainerisationAWS Lambda DeploymentGCP Cloud RunEnvironment ManagementAPI AuthenticationRate Limiting & Error Handling
🤖 Week 3 Product
Production-Ready AI API Service
FastAPI backend wrapping an LLM pipeline. Dockerised, deployed on AWS Lambda, accessible via public URL. Authentication, rate limiting, and usage logging implemented. First production-grade AI backend — not a notebook.
🤖3 AI Products Deployed
🏗️LLM + RAG + Deployment Foundation
☁️Live Production APIs
Ready for Industry Product Building
🚀 Phase 2 — Industry AI Products
Weeks 4–6 · 6 Industry Products
Domain Skills
Text-to-SQL with LLMsLangChain SQL AgentStructured Data ExtractionAI Report GenerationMulti-document SummarisationBusiness Logic in PromptsOutput Parsing & Validation
🏆 Products 1 & 2 — Enterprise AI
Product 01
AI Business Intelligence Analyst
Natural language to SQL query conversion. LLM analyses database and generates executive reports automatically. Handles multi-table joins. Dashboard with chart generation. Zero SQL knowledge required by end user.
Product 02
AI Contract & Legal Document Analyser
Uploads contracts, extracts key clauses, flags risks, and compares two contracts side-by-side using AI. RAG-powered Q&A on 100-page legal documents. Built for legal teams and fintech compliance.
Domain Skills
Adaptive Learning SystemsAI Quiz & Assessment GenerationMulti-modal AI — Text + ImageContent PersonalisationLLM Output EvaluationAI Writing Assistant ArchitectureIndia EdTech Landscape
🏆 Products 3 & 4 — EdTech AI
Product 03
AI Personalised Learning Coach
Assesses student level, generates adaptive curriculum and explanations. Creates quizzes, grades responses, and tracks progress. Multi-subject support. Used in India's JEE and NEET prep context.
Product 04
AI Long-Form Content Engine
Generates SEO-optimised articles, course content, and product descriptions at scale. Brand voice training, factual grounding via RAG, and human-review workflow. Deployed as a multi-user SaaS tool.
Domain Skills
Medical Q&A with GuardrailsAI Safety & Hallucination ControlFinancial Data ExtractionSentiment Analysis on ReportsCompliance-Aware AI DesignStructured Output from LLMsResponsible AI Principles
🏆 Products 5 & 6 — Healthcare & Finance AI
Product 05
AI Medical Symptom & Wellness Assistant
Symptom checker and wellness Q&A with hallucination guards and medical source citation. Escalation to human doctor logic. Built to responsible AI standards — not a reckless chatbot.
Product 06
AI Financial Research Analyst
Ingests annual reports and earnings calls. LLM extracts revenue trends, risk factors, and growth signals. Generates structured investment brief. Sentiment scoring on management commentary.
🏆6 Industry Products Built
🌍4 Industry Domains
🧠RAG + LLM + Cloud Live
📦Portfolio Growing Each Week
🎓 Phase 3 — Advanced Systems & Capstone
Weeks 7–8 · AI Agents + SaaS + Capstone
Skills You Master
LangChain AgentsCrewAI Multi-Agent SystemsAutoGen FrameworkTool Use & Function CallingWeb Browsing AgentsAI Workflow Automationn8n & Make.comSaaS Auth — Auth0 / ClerkStripe Billing IntegrationMulti-tenant Architecture
🏆 Products 7 & 8 — Agents & SaaS
Product 07
Autonomous AI Research Agent
Multi-agent system that researches any topic — browses web, reads papers, synthesises findings, generates structured report. CrewAI orchestration. Deployed as API. No human in the loop.
Product 08
AI SaaS Product — Full Stack
Complete AI SaaS with login, subscription tiers, AI feature behind paywall, Stripe billing, usage tracking, and multi-user dashboard. Production-ready. The same architecture used by AI startups raising seed funding.
What Happens in Week 8
Choose Domain & Define ProblemFull AI Product Architecture3-Day Build SprintLLM + RAG + Agent IntegrationCloud DeploymentTechnical DocumentationDemo Video RecordingIndustry Panel Pitch
🎓 Capstone Deliverables — 8 Outputs
✅ Deployed AI Product — Live URL
✅ LLM + RAG + Agent Pipeline
✅ Full GitHub Portfolio
✅ Technical Architecture Doc
✅ Investor-Ready Pitch Deck
✅ 3-Minute Demo Video
✅ Course Certificate
✅ Internship Certificate
🎓Certified Generative AI Product Engineer
📦10 AI Products in Portfolio
📋Internship Certificate
💼Placement & Startup Support
ℹ️ Curriculum content may evolve based on the fast-moving generative AI landscape. Students will be informed in advance of any changes. Core learning outcomes — 10 real deployed AI products — remain consistent.
Your Credentials

Two Certificates That
Prove You Build — Course + Internship

A certificate backed by 10 deployed AI products on GitHub and a university-compliant internship credential — two documents that speak to two different audiences: employers and universities.

KNOWX
Certificate of Completion
This is to certify that the candidate has successfully completed the
CERTIFIED GENERATIVE AI
PRODUCT ENGINEER
8-Week Intensive Program · 10 Real AI Products Built & Deployed · Bangalore, 2025
Issued By
BHIMSEN G.V.
CEO, Knowx Innovations
Credential ID
KNWX-GAIPE-2025
Verify at knowxinnovations.com
LLM · RAG · AI AgentsLangChain · OpenAI10 Products Built
What Your Credentials Include
🏆
Course Certificate — Industry-Recognised
Certified Generative AI Product Engineer — verified, shareable, LinkedIn-compatible credential with unique ID
📋
Internship Certificate — University Compliant
Separate internship credential issued as per university norms — accepted for academic and professional submission
🤖
10-Product AI Portfolio on GitHub
Live GitHub portfolio — every product deployed with LLM, RAG, or Agent pipeline — verifiable by any recruiter
🎬
Demo Video + Pitch Deck
3-minute product demo video and investor-ready pitch deck for your capstone AI product
💡 The Portfolio IS the Proof
Employers in India's AI ecosystem increasingly prioritise demonstrated builds over academic credentials. Your 10 deployed AI products are a stronger hiring signal than any paper certificate — and you leave with both.
India's generative AI job market is growing faster than any other technical domain — and engineers who build real AI products are the scarcest resource in this ecosystem.
Your Future
CAREER
IMPACT
DASHBOARD
Stop being an AI tool user. Start building the AI products that millions of users depend on — and get paid accordingly.
💰
₹12L–₹40L
AI Product Engineer Salaries
Salary range for Generative AI Product Engineers in India's AI-first startups, enterprise tech, and consulting firms
SOURCE · NAUKRI, LINKEDIN 2024
📈
$1.3T
GenAI Global Market
Global Generative AI market projected by 2032 — India positioned as a key engineering and product development hub
SOURCE · BLOOMBERG INTELLIGENCE
🚀
₹1.2B+
India AI Startup Funding
Indian AI startups raised over ₹1.2 billion in 2024 — creating thousands of AI product engineering roles across Bangalore, Hyderabad and Mumbai
SOURCE · INC42 AI REPORT 2024
🤖
Avg Fresher Package₹12–18L PA
Senior AI Engineer₹25–40L PA
AI Startup FounderUnlimited
Time to First Interview< 2 Months
⚡ Enrol & Get Certified
🏢
85%
Enterprise AI Adoption
Enterprises adopting AI in core workflows by 2026 — driving massive demand for engineers who can build internal AI tools and products
SOURCE · GARTNER 2024
🇮🇳
1M+
AI Jobs in India by 2026
India projected to have 1 million+ active AI job roles by 2026 — with a significant shortfall of engineers with hands-on product building experience
SOURCE · NASSCOM 2024
3x
Salary Premium
AI Product Engineers with deployed portfolios command 3x the salary of engineers with only theoretical AI knowledge and no shipped products
SOURCE · GLASSDOOR INDIA 2024
Turn Skills Into Careers

Four Career Paths From One Program

The Generative AI product engineering skill set is domain-agnostic. The same LLM, RAG, and deployment skills that power an enterprise document intelligence tool also power an AI SaaS startup, an automation platform, or a healthcare AI product.

LLM & RAG Application Engineer
₹12–20L
Starting Package
Where You'll Work
AI-first product companies and enterprise tech teams
Fintech, legal tech, and document intelligence startups
What You'll Build
RAG pipelines, vector databases, LLM-powered search
Document Q&A systems, contract analysers, knowledge bases
AI Agents & Automation Engineer
₹15–28L
Starting Package
Where You'll Work
Enterprise automation teams and AI-first consulting firms
Operations-heavy companies deploying AI workflow automation
What You'll Build
Multi-agent systems, autonomous AI workflows, tool-use agents
Business process automation using LLMs and orchestration
AI SaaS Product Builder
₹18–35L
Starting Package
Where You'll Work
AI SaaS startups, product companies, and venture-backed teams
EdTech, HR tech, and B2B AI tool companies
What You'll Build
Full-stack AI SaaS — auth, billing, AI core, multi-tenant
Scalable AI products with real paying customers
AI Startup Founder
₹20L+
Unlimited as Founder
What You Can Do
Launch an AI startup, apply to YC, NASSCOM, or T-Hub
Build an AI consulting practice or freelance product studio
What You'll Build
Full AI product — LLM backend, RAG, SaaS front-end deployed
Your own venture in EdTech, HealthTech, Legal, or Enterprise AI
"One program. Four career paths. The direction is yours to choose."
Industry Expert Voices

Learn From People Who Have Actually Shipped AI Products

Not instructors who teach from slides — builders, founders, and product engineers who have deployed AI systems used by real users, at real companies, solving real problems.

👨‍💼
Nageshwar Rao C
Director — Asmaitha, Bangalore
Systems ArchitectureProduct EngineeringAI Integration
"Building AI products requires the same engineering discipline as any production system — reliability, scalability, and error handling matter as much as the intelligence of the model. Most AI courses teach the intelligence. This one teaches the engineering."
Systems integrator with deep expertise in wireless communications, connected hardware, and AI product architecture. Specialises in translating AI capability into reliable, deployable systems.
👨‍💻
Anantha Somayaji
Co-Founder & CEO — Venturebiz Promotions
AI Startup BuilderProduct StrategyGo-to-Market
"The most dangerous AI product is a technically impressive one that nobody pays for. The best AI products solve a specific problem for a specific person — and the engineer who built it understood that person before writing a single line of code."
Building scalable, AI-led ventures for hyperlocal businesses across India. Bridges technical AI capability with commercial product strategy and go-to-market execution.
🚀
Bhimsen G.V.
CEO — Knowx Innovations, Bangalore
AI Product StrategistStartup MentorKeynote Speaker
"India has millions of AI users. It needs thousands of AI product engineers. The gap between using a model and deploying a product is where this program operates — and where careers are built."
Entrepreneur · Startup Mentor · AI Product Strategist · Keynote Speaker · AIoT Enabler. Driving technology-skill development and sustainable innovation across India's engineering and startup ecosystem.
Fee Structure

Simple, Transparent Pricing

One investment. 8 weeks. 10 real AI products. Two certificates. A career that pays for itself in the first month of employment.

Select your learning mode:

✓ Online mode: Live sessions + full recording access · Same curriculum, same certificate, same fee

2-Instalment Option
₹11,500
× 2 months · Zero interest
Split into 2 easy monthly instalments
No hidden charges · Zero interest
Flexible schedule on request
📞 Call to Discuss EMI
Total Program Fee
₹23,000
+ GST · One-time payment
8 weeks live + recorded sessions
All course materials & AI tool guides
Mentor access throughout the program
Course Certificate + Internship Certificate
GitHub portfolio setup & review
Placement support & career guidance
⚡ Enrol Now — ₹23,000
EMI on request
Group discount for 3+ students
Free counselling call first
Placement support included
Knowledge Resources

In-Depth Guides on Generative AI Product Engineering

Technical articles written for ECE, CSE, and EEE students, freshers, and working professionals exploring generative AI as a career — and decisions around how to build genuine product engineering skills.

Frequently Asked Questions

Questions About the Generative AI Product Engineer Course

Generative AI refers to artificial intelligence systems that generate new content — text, code, images, audio — using large language models trained on vast datasets. Unlike traditional AI that classifies or predicts from existing data, generative AI creates new outputs. It powers ChatGPT, GitHub Copilot, Midjourney, and thousands of AI products being built today. Engineers who can build production-grade applications on top of these models — not just use them — are the most in-demand AI professionals in India's current job market.
Knowx Innovations offers one of the most advanced generative AI product engineering programs in Bangalore. Unlike generic AI courses that stop at prompt engineering and API calls, this program covers LLM application development, RAG architecture, AI Agents, cloud deployment, and full-stack AI SaaS — through the act of building 10 real AI products in 8 weeks. Students receive a Course Certificate and an Internship Certificate as per university norms.
Generative AI is the fastest-growing technical career path in India and globally. The global GenAI market is projected at $1.3 trillion by 2032. Indian AI startups raised over $1.2 billion in 2024. 85% of enterprises plan to adopt AI in core workflows by 2026. Engineers with deployed AI product portfolios — not just AI tool knowledge — command ₹12L to ₹40L PA starting packages. The skills gap between demand and qualified engineers is the largest opportunity in India's technology sector right now.
Career roles available after completing generative AI product engineering training include: AI Product Engineer, LLM Application Developer, AI Automation Engineer, Generative AI Developer, AI SaaS Builder, Prompt Engineer, and AI Startup Founder. Key hiring sectors include enterprise software, fintech, edtech, healthcare AI, legal tech, HR tech, and AI-first startups across Bangalore, Hyderabad, and Mumbai.
No prior AI experience is required. Phase 1 (Weeks 1–3) builds the complete foundation from scratch — Python for AI, prompt engineering, LLM fundamentals, and API integration. A basic understanding of programming concepts is helpful but not mandatory. ECE, CSE, EEE, and IT students pursuing or having completed BE/BTech can join directly without any prior AI background.
Most AI courses in Bangalore teach tools — they show you how to use ChatGPT, write prompts, and call OpenAI APIs. This program teaches engineering — how to build production-grade AI applications using LLMs, RAG, AI Agents, and cloud deployment. You leave with 10 deployed AI products on GitHub that any employer can access in 5 minutes. No other program in Bangalore currently combines LLM product engineering, RAG architecture, AI Agents, SaaS development, and internship certification at this price point.
The total program fee is ₹23,000 + GST. The same fee applies for both online and offline modes. An EMI option of ₹11,500 × 2 months is available at zero interest — no hidden charges. The fee covers 8 weeks of live and recorded sessions, all course materials, AI tool guidance, mentor access, both certificates, GitHub portfolio support, and placement assistance. Call +91-98860-94611 to set up EMI before your batch starts.
Yes. You receive two separate certificates: (1) a Course Completion Certificate — Certified Generative AI Product Engineer, with a unique verification ID; and (2) an Internship Certificate issued in compliance with standard university internship norms. The internship certificate is accepted for academic and professional submission by students who need to fulfil university internship requirements. Both are LinkedIn-compatible and verifiable at knowxinnovations.com.
Yes. Sessions are scheduled on evenings and weekends. Full recordings are available within 24 hours of each live session. Final-year students can complete the program alongside their degree and submit the internship certificate as their university internship. Working professionals — including software engineers, data analysts, and product managers — can complete the program in parallel with their job without taking leave.
We provide structured placement support — resume building, technical interview preparation, referrals to our hiring network, and direct introductions to AI-first companies. No training institution can guarantee placement — outcomes depend on individual performance and market conditions. What we guarantee is that your GitHub portfolio (10 deployed AI products) and verified certificates will materially strengthen your candidacy compared to the majority of candidates you will compete against for the same roles.
YOUR AI CAREER
STARTS HERE.

8 weeks from now you could have 10 real deployed AI products, a verified Course + Internship certificate, and a career in India's highest-paying engineering domain — Generative AI product engineering.

Next Batch Starting Soon
🔒 Limited Seats Available
📋 Internship Certificate Included

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