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Generative AI Training in Jaipur with Placement

Generative AI with placement assistance in Jaipur — our programme includes placement drives, recruiter connections to Metacube, Appirio, Genpact, Wipro, mock interviews, and resume workshops. Delivered in Jaipur, Rajasthan with both classroom and online options.

4.7(10 reviews)
Generative AI Training in Jaipur with Placement

40+

Hours

9

Modules

22

Topics

4.7

10 reviews

Intermediate

Level

New

Batches weekly

About Generative AI Training in Jaipur with Placement

Generative AI with placement assistance in Jaipur — our programme includes placement drives, recruiter connections to Metacube, Appirio, Genpact, Wipro, mock interviews, and resume workshops. Delivered in Jaipur, Rajasthan with both classroom and online options.

What This Training Covers

The Generative AI Training in Jaipur with Placement programme at Tutorsbot spans 40+ hours across 9 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current AI & Machine Learning industry expectations and hiring patterns.

Enrollment & Training Quality

Generative AI Training in Jaipur with Placement is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Placement support — including résumé building, mock interviews, and hiring referrals — is included with every enrolment at no extra cost. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.

Course Curriculum

9 modules · 22 topics · 40 hrs

01

Foundations of Generative AI

11 topics

  • Generative vs discriminative models — Key differences, use cases, and when to use each
  • History of generative AI — VAEs, GANs, diffusion models, and the transformer revolution
  • Transformer architecture — Self-attention, multi-head attention, encoders, decoders, and positional encoding
  • Large language models — GPT-4/4o, Gemini 2.0, Claude 3.5, Llama 3, Mistral, and Phi families
  • Training paradigms — Pre-training on web data, supervised fine-tuning (SFT), RLHF, and DPO alignment
  • Tokens and tokenization — BPE, SentencePiece, token counting, and context window management
  • Embeddings — Word2Vec, sentence embeddings, OpenAI/Cohere embedding models, and similarity search
  • Model sizes and inference — Parameter counts, quantization (INT4/INT8), and GPU memory requirements
  • Open-source vs proprietary models — Licensing, self-hosting trade-offs, and vendor lock-in risks
  • Generative AI landscape 2026 — Capabilities, limitations, multimodal trends, and industry adoption
  • Hands-on: Compare responses from GPT-4, Claude, Gemini, and Llama on the same tasks
02

Prompt Engineering Fundamentals

11 topics

  • Zero-shot prompting — Writing effective instructions without examples
  • Few-shot prompting — Providing examples, formatting patterns, and example selection strategies
  • Chain-of-thought (CoT) — Step-by-step reasoning, self-consistency, and tree-of-thought variations
  • System prompts — Role assignment, persona design, behavioral constraints, and conversation structure
  • Instruction clarity — Output formatting (JSON, tables, lists), length constraints, and tone control
  • Prompt chaining — Decomposing complex tasks into sequential prompts with intermediate outputs
  • Generation parameters — Temperature, top-p, top-k, frequency penalty, and their impact on output
  • Handling hallucinations — Grounding strategies, citation prompting, and verification techniques
  • Prompt templates and libraries — Jinja2 templates, version control, and reusable prompt patterns
  • Prompt injection defense — Recognizing and preventing adversarial prompt manipulation
  • Hands-on: Build a prompt engineering toolkit with templates for summarization, extraction, and classification
03

Working with LLM APIs

Topics included

6 more modules available

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Salary & Career Outcomes

What Generative AI Training in Jaipur with Placement graduates earn across roles and cities

60%

Average salary hike after course completion

42 days

Median time to job offer after graduation

Target Roles & Salary Ranges

ML Engineer

0-2 years

₹6L - ₹12L

Mu SigmaFractal AnalyticsTCS

AI Engineer

2-5 years

₹14L - ₹30L

GoogleMicrosoftAmazon

AI Architect

5+ years

₹25L - ₹50L

OpenAIGoogle DeepMindMeta AI

Salary by City & Experience

CityFresherMid-LevelSenior
Bangalore₹8L₹22L₹45L
Hyderabad₹6.5L₹18L₹35L
Pune₹6L₹16L₹30L
Chennai₹5.5L₹15L₹28L

Career Progression

Fresher

ML Engineer

After completing the course with projects

ML Engineer

AI Engineer

2-3 years of hands-on experience

AI Engineer

AI Architect

5+ years with leadership responsibilities

Tools & Technologies

Hands-on with the production stack used in Generative AI Training in Jaipur with Placement

Framework

RReactLLangChain

Platform

AAWS ConsoleAAzure PortalHHugging Face

Database

RRedis

Container

DDocker

Orchestration

KKubernetes

API

OOpenAI API

CLI

AAWS CLIAAzure CLIDDocker CLIkkubectl

What Our Learners Say

Real feedback from Generative AI Training in Jaipur with Placement graduates

N

Nasreen Banu

MCA Final Year, Delhi

Honestly, I was sceptical about training institutes. But Generative AI Training at Tutorsbot was different. The curriculum was practical, not textbook-heavy. The mock interviews and resume sessions were a game-changer. Currently working as a ai & machine learning developer and loving it.

A

Abdul Wahab

BCA Graduate, Kochi

I enrolled in Generative AI Training training at Tutorsbot right after my graduation. The hands-on project work changed everything — I walked into interviews with a real portfolio instead of just a degree certificate. Got placed within 2 months at ₹5.5 LPA. The instructor knew exactly what interviewers look for.

S

Syed Imran

MCA Fresher, Hyderabad

Generative AI Training training at Tutorsbot was the best investment I made as a fresher. The instructors are patient, the projects are challenging, and the placement support is genuine. Not just promises — actual company referrals and interview prep.

T

Tamilarasi V.

IT Support, 3 yrs exp, Coimbatore

I've tried Udemy and Coursera for Generative AI Training — always dropped off after a few videos. Tutorsbot's live instructor-led approach kept me accountable. The projects were relevant to my current work, and I could apply learnings immediately. Worth every rupee.

R

Ruth Abraham

Data Analyst, 2 yrs exp, Kochi

I've tried Udemy and Coursera for Generative AI Training — always dropped off after a few videos. Tutorsbot's live instructor-led approach kept me accountable. The projects were relevant to my current work, and I could apply learnings immediately. Worth every rupee.

F

Firdaus Akhtar

Backend Developer, 5 yrs exp, Pune

I've been working in IT for 3 years but felt stuck. Generative AI Training training at Tutorsbot gave me the upskilling I needed. Within a month of completing the course, I got promoted and a 40% salary hike. The weekend batches fit perfectly with my job.

F

Farhan Qureshi

Technical Director, Cognizant

We were struggling to hire experienced Generative AI Training talent, so we upskilled our existing team through Tutorsbot. The result? Zero attrition from the trained batch, 3 internal promotions, and significantly fewer production incidents. The corporate pricing was fair too.

R

Rani Alexander

Team Lead, HCLTech

As an L&D head, I evaluate 10+ training vendors every quarter. Tutorsbot stood out for Generative AI Training — their trainers have genuine production experience, not just presentation slides. Our team's sprint velocity improved 30% after the training. Solid ROI.

N

Nandini Elango

Career Switcher (Ex-Mechanical), Chennai

I left my mechanical engineering job to switch to tech. Everyone said it was risky at 28. Tutorsbot's Generative AI Training training made the transition possible — structured curriculum, patient instructors, and actual placement support. Now earning 2× my old salary as a ai & machine learning professional.

I

Ishaq Hussain

Non-IT to Tech Transition, Hyderabad

I left my mechanical engineering job to switch to tech. Everyone said it was risky at 28. Tutorsbot's Generative AI Training training made the transition possible — structured curriculum, patient instructors, and actual placement support. Now earning 2× my old salary as a ai & machine learning professional.

Enrol in This Course

All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Aug 2026.

✓ 7-day refund guarantee✓ Same certificate for all formats✓ Lifetime access to recordings

Classroom

Face-to-face classroom training with hands-on guidance.

42,000incl. GST

GST ₹6,407 included

EMI from ₹7,000/mo

or

About Generative AI Training at TutorsBot

TutorsBot's 40-hour Generative AI course takes you from transformer architecture fundamentals through prompt engineering, LLM API integration, RAG pipelines, and multimodal generation. It's available as TutorsBot's flagship Generative AI Course In Jaipur programme, with live online and classroom batches running weekly. It's built for engineers who want to build AI products — not just use them. Batches are limited to 18 students. The curriculum is updated every quarter because this field accelerates faster than any other right now. If you've been watching AI reshape the industry from the outside and wondering how to move to the inside, this is where that transition actually starts.

Our Generative AI batches in Jaipur, Rajasthan serve students and working professionals commuting from MI Road, Vaishali Nagar, Malviya Nagar, Mansarovar, Tonk Road. The city's key IT hubs — Jaipur Technology Park, RIICO Industrial Area, Sitapura IT Zone, Mahindra World City IT Park — drive consistent demand for Generative AI talent and attract hiring from across Rajasthan. Jaipur Metro Pink Line (Mansarovar to Badi Chaupar) connects Mansarovar, New Aatish Market, Railway Station, and Chandpole. Each batch is capped at 20 learners with a 1:10 mentor-to-learner ratio during practical sessions, ensuring personalised attention throughout the programme. Weekend and weekday schedules allow working professionals to upskill without leaving their current roles. New cohorts start every 2-3 weeks, making it easy to plan Generative AI training around your work calendar.

Hiring in Jaipur is seasonal: Peak: July-October (campus from MNIT/JECRC) and January-March. Sitapura IT Zone drives quarterly hiring. Slow April-June. We time mock-interview drives and portfolio reviews to land just before those windows.

Why Generative AI? The Numbers Don't Lie

Generative AI engineers in India earn 12-20 LPA at entry level and 25-40 LPA at senior levels at product companies in Bangalore and Hyderabad — figures drawn directly from 2026 hiring data. Every company with a product roadmap is trying to add AI features faster than they can hire for them. Engineers who can build with LLM APIs, implement RAG, and deploy AI pipelines are genuinely rare. What happens when a skill is both high-demand and low-supply? You get salaries that would have seemed unrealistic just three years ago.

The local hiring data across Mansarovar, Tonk Road, Jagatpura and the wider Jaipur belt speaks clearly: Rajasthan's IT gateway — Sitapura and Mahindra SEZ driving pink city's tech push. Companies including Infosys, Conduent actively post Generative AI positions across Jaipur at above-benchmark salaries, because leaving roles unfilled costs more than paying a premium. Freshers with a strong Generative AI portfolio typically start at 2.5-4 LPA, while experienced professionals with 3-5 years of depth reach 5-9 LPA. Senior roles at these firms command 10-16 LPA.

By the final module you will have shipped work using Azure Portal, Redis, Docker, documented well enough to walk a Jaipur interviewer through it line by line.

Trained by Working AI Engineers

Our Generative AI trainers have built production LLM applications — RAG systems, AI chatbots, document processing pipelines — at product companies and AI startups, with 8-12 years of engineering experience behind their AI work. They know where things break in production and how to fix them before they cause incidents. Is there any real value in learning from someone who's only ever run demos in a sandbox? Not when companies expect you to ship features that work. Our trainers have built the exact things you'll be learning to build.

Instructors for our Jaipur Generative AI programme come from Conduent and similar employers with operations at Mahindra World City IT Park. They are senior engineers and architects who teach what actually runs in production — and have trained students from Jagatpura, Sitapura, Pratap Nagar, C Scheme and across Rajasthan. Each batch is intentionally small — 20 learners maximum — so instructors provide individual code reviews and feedback during every lab session. That kind of attention is what turns training into capability.

Getting to class is a solved problem: Jaipur Metro Pink Line (Mansarovar to Badi Chaupar) connects Mansarovar, New Aatish Market, Railway Station, and Chandpole. JCTSL low-floor buses on 20+ routes covering Sitapura, Tonk Road, and Vaishali Nagar. Evening batches are timed around peak-hour traffic on those corridors.

Certification That Gets You Hired

After completing a capstone project — a working RAG application or AI-powered feature built from scratch — you'll receive a TutorsBot Generative AI Certificate. Companies hiring for AI roles in Bangalore and Hyderabad care about what you've actually built. Your certificate paired with a deployed GitHub project is a stronger signal than any standardized exam score. Can you land an AI role without a real project behind your certificate? Maybe the first interview. Employers searching for Generative Ai Course in Jaipur holders find TutorsBot graduates consistently among the best-prepared candidates. The offer? That's a different conversation entirely.

Recruiters in Jaipur — especially at Conduent hiring from Raja Park, Bapu Nagar, Jawahar Nagar, Lal Kothi with operations around Mahindra World City IT Park — increasingly ask for project portfolios and verified credentials before scheduling interviews. A Generative AI certification with a strong project profile can make the difference between getting a callback and being filtered out at the resume stage. Our Malviya Nagar and Sitapura batches integrate placement preparation into the curriculum from the start, with mock interviews and resume workshops built into the programme schedule.

Advanced sessions push into Redis, Docker, Kubernetes, the depth that turns a Generative AI screening call in Jaipur into an offer conversation.

Generative AI Jobs: Market Demand in 2026

Generative AI roles in India grew 180% year-over-year in 2026. AI Engineer, LLM Developer, Prompt Engineer, and AI Product Engineer positions are being posted at 300+ companies across Bangalore, Hyderabad, Chennai, and Delhi. Entry-level AI engineers start at 10-15 LPA. The demand isn't driven by hype anymore — it's driven by companies with committed AI product roadmaps and real engineering budgets. Why are mid-size companies suddenly hiring AI engineers at these packages? Because the tools now let one good engineer ship meaningful AI features in weeks, and that math is impossible to ignore.

From Vaishali Nagar, Malviya Nagar, Mansarovar, major employers Metacube, Appirio, Genpact run regular recruitment cycles for Generative AI professionals across Jaipur Technology Park, RIICO Industrial Area, Sitapura IT Zone, Mahindra World City IT Park. Salaries start at 2.5-4 LPA for entry-level roles, grow to 5-9 LPA at mid-career, and senior professionals earn 10-16 LPA. Mid-size firms and funded startups in the same corridors add further demand.

Interview questions in this programme are reverse-engineered from live Generative AI loops at Genpact, Wipro, Infosys, Conduent and similar Jaipur employers.

Who Should Join This Course

You need Python programming experience and basic familiarity with REST APIs and JSON. No prior ML experience or math degree required. If you can call an API and handle its response in Python, you're ready to start. Do you need to understand transformer mathematics to build useful AI applications? No — and we'll be explicit about exactly where the math matters and where it doesn't. What you actually need is the ability to read documentation, debug API calls, and ship working code consistently.

Working professionals from Sitapura, Pratap Nagar, C Scheme, Bani Park, Ajmer Road — Rajasthan's key residential and commercial hubs — make up the majority of our Generative AI batches in Jaipur. Jaipur Metro Pink Line (Mansarovar to Badi Chaupar) connects Mansarovar, New Aatish Market, Railway Station, and Chandpole. The programme is modular, allowing you to progress at your own pace within the batch schedule. Employers in RIICO Industrial Area actively recruit from our graduate pool. Whether you have zero programming experience or are adding Generative AI to an existing IT skill set, the curriculum meets you where you are.

Switch between weekday, weekend, and online-live delivery mid-programme if your Jaipur work schedule shifts; the curriculum and certificate are identical.

What You'll Actually Be Able to Do

You'll understand how transformer models work at a practical level, write production-ready prompts, integrate GPT-4, Claude, and Gemini APIs into real applications, build a working RAG pipeline from scratch, and implement multimodal features with image and audio inputs. Could you join an AI product team and ship an AI feature independently within your first two weeks on the job? That's the specific capability we design every module to produce. No theory without a working implementation immediately after.

By the end of this Generative AI programme in Jaipur, you will have completed projects modelled on real workflows at companies in Sitapura IT Zone. Infosys and Conduent and similar firms use these exact technologies in production. The portfolio you build — developed with mentor code review throughout — becomes the centrepiece of your Generative AI job applications. Learners from C Scheme, Bani Park, Ajmer Road, Vidhyadhar Nagar consistently report that their GitHub profile was the deciding factor in landing interview calls.

By the final module you will have shipped work using Azure Portal, Redis, Docker, documented well enough to walk a Jaipur interviewer through it line by line.

Tools You'll Work With Every Day

You'll use OpenAI API, Anthropic Claude API, Google Gemini API, LangChain, LlamaIndex, FAISS, ChromaDB, Hugging Face Transformers, FastAPI, Python 3.12, and Git throughout the course. Pinecone and Weaviate are also covered for vector database concepts. You'll work with real API keys on real systems — not mock responses or pre-recorded demos. What's the difference between learning with real APIs versus sandboxes? Rate limits, error formats, and cost considerations shape how you build — that's what real work looks like.

Every tool in the Generative AI curriculum is selected based on what and other Jaipur employers list in their job descriptions for positions at Sitapura IT Zone. Our batches serving Raja Park, Bapu Nagar, Jawahar Nagar use the same toolchain versions that development teams run in production. The lab environment is set up on day one, and you work with it throughout every module — so by the end of the programme, the tools feel second nature.

Getting to class is a solved problem: Jaipur Metro Pink Line (Mansarovar to Badi Chaupar) connects Mansarovar, New Aatish Market, Railway Station, and Chandpole. JCTSL low-floor buses on 20+ routes covering Sitapura, Tonk Road, and Vaishali Nagar. Evening batches are timed around peak-hour traffic on those corridors.

Roles You Can Apply For After Training

Generative AI skills translate to AI Engineer (12-25 LPA), LLM Application Developer (10-22 LPA), Prompt Engineer (8-16 LPA), AI Product Engineer (14-30 LPA), and ML Platform Engineer roles. Companies in Bangalore and Hyderabad lead hiring, but AI-first startups are now distributed across India. Freshers who've completed a real AI project typically start at 10-14 LPA. Roles matching Generative AI Training with Placement are actively listed on Naukri, LinkedIn, and Glassdoor with consistent demand across major Indian cities. What's the fastest path from 10 LPA to 20 LPA in this field? Building production systems and being able to explain exactly what broke, why it broke, and how you fixed it.

Employers like hire Generative AI talent in Jaipur at every experience level: entry-level (2.5-4 LPA), mid-career (5-9 LPA), and senior (10-16 LPA). The Lal Kothi, Sanganer, Adarsh Nagar, Jhotwara belt has particularly strong demand. Career progression from junior to lead typically takes 5-7 years, with salary increments tied directly to capability — the more production-grade work you can demonstrate, the faster you climb.

Advanced sessions push into Redis, Docker, Kubernetes, the depth that turns a Generative AI screening call in Jaipur into an offer conversation.

Real Students, Real Outcomes

Arjun, a 3-year React developer from Bangalore, completed this track and joined an AI startup as an AI Engineer at 18 LPA — up from 11 LPA. Meera, a data analyst from Hyderabad with solid Python skills, built a RAG-based document Q&A system for her capstone and was hired at 13 LPA within 50 days of finishing the course. We've put 600+ professionals through this track since it launched. Do all of them get these specific outcomes? The ones who build a real project and can explain every architectural decision they made consistently do.

Our Generative AI graduates from Ajmer Road, Vidhyadhar Nagar, Sodala, Raja Park, Bapu Nagar, Jawahar Nagar, Lal Kothi, Sanganer have been placed at Metacube, Appirio, Genpact across Mahindra World City IT Park. The alumni network in Rajasthan exceeds 200 professionals who actively mentor new students and refer qualified candidates to hiring managers. Referred candidates have a significantly higher interview-to-offer conversion rate. Several alumni have returned as guest instructors, sharing their industry experience with current batches.

Placement support in Jaipur runs for 12 months after completion: résumé rewrites, mock loops, and referrals as roles open.

Jaipur Generative AI Training — What a Typical Week Looks Like

Most weeks split into a live concept session, a supervised lab, and a short review call — a pace that works whether you're commuting in from MI Road, Vaishali Nagar, Malviya Nagar, Mansarovar, Tonk Road or joining online from Jagatpura, Sitapura, Pratap Nagar, C Scheme, Bani Park. Assignments are checked, not just submitted, which is the part most self-paced courses skip.

  • Mid-career salary signal in Jaipur: 5-9 LPA
  • Local employer clusters: Jaipur Technology Park, RIICO Industrial Area, Sitapura IT Zone, Mahindra World City IT Park
  • Classroom belt: Vaishali Nagar, MI Road, Malviya Nagar, Sitapura
  • Hiring calendar: Peak: July-October (campus from MNIT/JECRC) and January-March. Sitapura IT Zone drives quarterly hiring. Slow April-June.

Why This Isn't a Generic Generative AI Course Reused for Jaipur

A lot of "training in Jaipur" pages are the national page with a find-and-replace on the city name. We built this one around what Jaipur hiring managers actually ask: how you'd debug a failure, why you chose one approach over another, what you'd do differently at scale. Employers like Metacube, Appirio, Genpact, Wipro come up often enough in mock interviews that candidates stop being surprised by the question style.

You'll be hands-on with React, AWS Console, Azure Portal, Redis, Docker, Kubernetes throughout. The goal is a portfolio piece you can defend, not a certificate you can't explain.

Jaipur Hiring Reality for Generative AI Professionals

Rajasthan's IT gateway — Sitapura and Mahindra SEZ driving pink city's tech push. What separates an offer from a rejection in Jaipur interview loops is usually depth on one real project rather than shallow familiarity with ten tools. So our prep sessions go deep on your capstone build, then branch into likely follow-up questions.

Pay bands to plan around: 2.5-4 LPA for freshers, 5-9 LPA mid-career, and 10-16 LPA for senior roles carrying design ownership — figures move with the specific employer and your portfolio strength.

How to Choose the Right Generative AI Training in Jaipur

Before joining any Generative AI course in Jaipur, check four things: whether the trainer has real implementation experience, whether labs get reviewed, whether the syllabus matches current job postings, and whether placement support continues after the last class. A cheaper course with no feedback loop usually costs more later, once weak projects fail in interviews.

Our Jaipur batches keep the path practical — live sessions, recorded revision, mentor doubt support, reviewed assignments, mock interviews, and local placement guidance. Switch between classroom, hybrid, and online-live formats mid-programme if your schedule changes; the curriculum and certificate stay the same.

Hire Trained Talent

Hire Generative AI Trained Professionals

Our Generative AI graduates come with verified project experience, industry-standard skills, and are ready to contribute from day one.

Why hire from us

Project-Verified Skills

Assessment-Backed Hiring

Placement-Ready Talent

Project-based portfolios available

What You Get After Completion

Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.

Industry-Recognised Certificate

Earn a verified Tutorsbot certificate for Generative AI, validated through project submissions and assessments.

LinkedIn-importable·Permanent shareable URL·PDF download included

Portfolio of Real Projects

Build production-grade projects reviewed by your instructor. Walk through them in any technical interview.

Instructor code-reviewed·GitHub-hosted portfolio·Interview-ready demos

Placement & Career Support

Dedicated career coaching: resume reviews, mock interviews, LinkedIn optimisation, and introductions to hiring partners.

1-on-1 career coaching·Mock interview rounds·Employer connect programme

Hands-On Lab Experience

Practical assignments and lab exercises that simulate real-world scenarios, ensuring you can apply skills from day one.

Cloud lab environments·Scenario-based exercises·Peer collaboration

Meet Your Instructor

Every Generative AI Training in Jaipur with Placement batch is led by a practitioner who teaches from production experience, not textbooks.

D

Dr. Vikram Mehta

Verified

Lead Data Scientist

13+ yrs experience·Worked at IBM, Mu Sigma, Fractal Analytics, TCS

Ph.D. in Machine Learning with 13+ years in AI/ML. Built recommendation engines and NLP systems for Fortune 500 companies.

How We Teach

  • Concepts start with a real problem so theory lands in context
  • Projects reviewed the way a senior colleague reviews pull requests
  • Every topic includes the kind of questions you'll face in interviews

Frequently Asked Questions

Everything you need to know about Generative AI Training in Jaipur with Placement, answered by our training experts

1What is the fee for Generative AI training at TutorsBot?
The Generative AI course is priced between ₹20,000 and ₹28,000 for the full 40-hour program. That includes live sessions, recorded backups, capstone project review, real API access during labs, and the completion certificate. Batch size is capped at 18. The fee is higher than some competitors, but this isn't a course that runs on demo API keys and pre-recorded responses — you'll work with live OpenAI, Claude, and Gemini APIs throughout. That direct exposure is what makes the difference in technical interviews.
2What salary can I expect after completing Generative AI training?
AI Engineers and LLM Developers in India typically start at 10–15 LPA even at fresher or transition level, especially in Bangalore and Hyderabad. Mid-level roles at AI-first startups and product companies run 18–28 LPA. The market is genuinely paying a premium because the talent pool is still small relative to demand. How quickly you hit those numbers depends heavily on what you build and how articulate you are about the architecture decisions. Certificates open doors; working demos get offers.
3What topics are covered in the Generative AI course syllabus?
The 40-hour curriculum covers transformer architecture foundations, prompt engineering fundamentals, working with LLM APIs (OpenAI, Claude, Gemini), building RAG pipelines with vector databases, Generative AI application patterns, and multimodal generation with image and audio models. You'll also cover LangChain, LlamaIndex, and ChromaDB. Full syllabus PDF is available on the course page. It's deliberately kept at 40 hours because the field updates constantly — we cover what holds across model generations rather than chasing the latest weekly release.
4How long does the Generative AI training take to complete?
40 hours of live instruction, which runs about 7–8 weeks on a weekend batch or 4–5 weeks on a weekday schedule. All sessions are recorded. The capstone — building a working RAG application or AI-powered feature — adds another week after the main modules. The shorter duration compared to our other courses isn't because it's light; it's because we cover applied engineering specifically, not ML theory from scratch. If you want transformer math foundations, you'll want the Machine Learning course first.
5Is Generative AI training a good choice for freshers with no AI experience?
Yes, if you're a fresher with Python and REST API skills. You don't need prior ML or data science experience. Can you call an API, handle JSON responses, and write clean Python functions? Then you're ready to build real AI applications. The market for freshers who can build with LLM APIs is genuinely active at 10–14 LPA in Bangalore and Chennai. That said, this isn't a course for non-technical students — it's specifically for engineers who want to build AI products, not just use AI tools.
6What are the prerequisites for Generative AI training?
Python programming and basic REST API experience are needed. You should be comfortable making HTTP requests, reading JSON, and writing functions in Python. No ML background required. No mathematics prerequisites. If you can write a Python script that calls an API and processes the response, you're ready for this course. What you don't need: transformer math, ML theory, or prior exposure to LLMs. We cover what you need to understand without the deep mathematical foundations that advanced AI research requires.
7What job roles can I apply for after Generative AI training?
AI Engineer, LLM Application Developer, Prompt Engineer, AI Product Engineer, and Conversational AI Developer are all realistic post-course targets. In Chennai, Bangalore, and Hyderabad, AI-first startups and the AI divisions of large product companies are actively hiring. You'll also find Generative AI roles in traditional enterprises that are building internal AI tools. Two things that drive outcomes: a deployed capstone project you can demo, and the ability to explain your RAG architecture in a 30-minute technical interview.
8Is Generative AI certification worth it in 2026?
Yes — it's one of the most time-efficient skill investments in Indian tech right now. The AI talent gap between what companies need and what's available is still wide. Generative AI Engineers with real project experience are being hired at 12–20 LPA at a fresher or transition level, which is significantly above the tech industry average for equivalent experience levels. The certification alone won't do it — you need the working capstone. But combined, the certification and a solid GitHub project create a strong signal that's hard to dismiss.
9What is the future scope of Generative AI as a career in India?
Generative AI roles in India grew 180% year-over-year in 2026. The growth isn't speculative — companies have committed AI product roadmaps and engineering budgets tied to them. Every major product company in Bangalore, Hyderabad, and Delhi is building AI features into their platforms. That's not a trend likely to reverse. The scope is also cross-domain — retail, healthcare, finance, legal tech, and ed-tech are all building Generative AI products right now. Engineers who understand RAG, APIs, and application architecture have the most durable skill set.
10Can working professionals complete Generative AI training alongside a full-time job?
Yes. The 40-hour curriculum on a weekend schedule finishes in about 7–8 weeks, which is very manageable alongside a full-time engineering role. All sessions are recorded. Since this course is application-focused rather than theory-heavy, the daily practice requirement is lighter than an ML course — 30 minutes of API experimentation between sessions is enough to stay current. Developers and engineers making the transition to AI roles are the core audience here, and the schedule is built for exactly that.

Still have questions?