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Generative AI Training in Chennai with Placement

Tutorsbot's Generative AI placement programme in Chennai provides end-to-end job support. Placement drives target Freshworks, TCS, Infosys, Amazon, with resume building, mock interviews, and direct recruiter referrals in Chennai, Tamil Nadu.

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

40+

Hours

9

Modules

22

Topics

4.7

10 reviews

Intermediate

Level

New

Batches weekly

About Generative AI Training in Chennai with Placement

Tutorsbot's Generative AI placement programme in Chennai provides end-to-end job support. Placement drives target Freshworks, TCS, Infosys, Amazon, with resume building, mock interviews, and direct recruiter referrals in Chennai, Tamil Nadu.

What This Training Covers

The Generative AI Training in Chennai 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 Chennai 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 Chennai 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 Chennai 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 Chennai 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 Training In Chennai 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.

Students from OMR IT Corridor, T Nagar, Velachery, Adyar and surrounding neighbourhoods enrol in our Generative AI batches in Chennai, Tamil Nadu. Conveniently accessible from T Nagar and Anna Nagar, the training location is well-connected by local transport for daily commuters. Employers across DLF IT Park, One Indiabulls Park, Ramanujan IT City, Tidel Park, SIPCOT IT Park Siruseri actively recruit Generative AI talent, keeping demand for skilled professionals consistently high throughout the year. Sessions run year-round in both weekend and weekday formats, with morning and evening slots. Every session is recorded and shared, so missing a class never means missing content.

Getting to class is a solved problem: Chennai Metro Blue Line (Airport to Wimco Nagar via Little Mount, Guindy, Saidapet, Chennai Central). Green Line (Chennai Central to St Thomas Mount via Anna Nagar, CMBT, Vadapalani). Evening batches are timed around peak-hour traffic on those corridors.

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.

Here in Chennai, across Velachery, Adyar, Guindy, Vadapalani and nearby neighbourhoods, one of India's top three IT hiring corridors with Asia's largest IT park. Major employers — HCL, PayPal, Zoho, L&T — offer competitive salaries for Generative AI expertise. Entry-level Generative AI positions begin at 3-5 LPA, mid-career professionals earn 7-14 LPA, and senior specialists can reach 15-26 LPA. The city's hiring volume has been growing consistently, and professionals who certify now establish their experience advantage early.

React work in this course is scoped to the way teams at TCS-scale employers in Chennai operate it: change control, audit trail, and handover included.

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.

Your Generative AI instructors are practitioners based in Chennai, not career academics. Many have shipped production systems at companies like PayPal and Zoho from offices at Ramanujan IT City and teach Generative AI to students from Vadapalani, Ashok Nagar, Thoraipakkam. They bring real-world debugging experience, architecture decisions made under pressure, and an understanding of what local hiring managers actually look for. Our T Nagar and Anna Nagar batches benefit from this practitioner-to-learner knowledge transfer — because the fastest way to learn what matters is from someone who does it daily.

Most of our Chennai cohort already works inside DLF IT Park, One Indiabulls Park, Ramanujan IT City, so lab exercises are pitched at the stack those campuses actually run.

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 Training in Chennai holders find TutorsBot graduates consistently among the best-prepared candidates. The offer? That's a different conversation entirely.

Employers in Chennai hiring for Generative AI roles — including Zoho, L&T, Cognizant sourcing candidates from Chromepet, Pallikaranai, Medavakkam and SIPCOT IT Park Siruseri — value structured training credentials. A certification signals that you have invested in systematic learning, not just completed a few online tutorials. The portfolio that accompanies our certificate is what interviewers actually ask about: your code, your architecture decisions, and your project documentation.

The capstone integrates React + AWS Console end to end — the sort of brief handed to junior engineers in their first quarter at One Indiabulls Park employers.

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.

one of India's top three IT hiring corridors with Asia's largest IT park — and the employers proving it are Freshworks, TCS, Infosys, Amazon, Wipro, all hiring Generative AI talent across OMR IT Corridor, T Nagar, Velachery and surrounding Tamil Nadu corridors. Key IT hubs driving this demand include DLF IT Park, One Indiabulls Park, Ramanujan IT City, Tidel Park, SIPCOT IT Park Siruseri. Entry-level compensation starts at 3-5 LPA, mid-level professionals earn 7-14 LPA, and senior roles command 15-26 LPA. Unlike seasonal hiring in other industries, IT and tech recruitment here remains consistent across quarters.

Chennai is one of India's top three IT hiring corridors with Asia's largest IT park — which is why Generative AI openings here refresh faster than candidates can certify for them.

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.

Whether you are commuting from Ashok Nagar, Thoraipakkam, Sholinganallur, Porur (Chennai Metro Blue Line (Airport to Wimco Nagar via Little Mount, Guindy, Saidapet, Chennai Central).) or joining online from elsewhere in Tamil Nadu, our Generative AI batches are designed for working professionals who cannot afford to pause their careers. The course structure accommodates both absolute beginners — starting from fundamentals — and experienced IT professionals adding Generative AI to their existing skill set. T Nagar, Anna Nagar, Velachery batches attract a diverse mix of fresh graduates and career-changers, with many placed at companies across Ramanujan IT City.

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

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.

Every module in the Chennai Generative AI curriculum ties directly to what HCL, PayPal, Zoho in Tidel Park and similar employers expect you to know on day one of the job. The skills you build — verified through projects and instructor code review — are exactly what technical interviewers test for. Porur, Siruseri, Saidapet programme graduates regularly cite their capstone projects as the reason they stood out during interviews.

React work in this course is scoped to the way teams at TCS-scale employers in Chennai operate it: change control, audit trail, and handover included.

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.

PayPal, Zoho, L&T, Cognizant — all active employers in Chennai at One Indiabulls Park — use the same tools we cover in Generative AI training. Our sessions serving Tambaram, Perungudi, Chromepet, Pallikaranai include dedicated lab hours where you apply concepts under mentor supervision with these exact tools. Because one of India's top three IT hiring corridors with Asia's largest IT park, being productive with the toolchain from day one gives you a measurable advantage over candidates who learned from scattered online resources.

Most of our Chennai cohort already works inside DLF IT Park, One Indiabulls Park, Ramanujan IT City, so lab exercises are pitched at the stack those campuses actually run.

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.

In Chennai, Generative AI roles span entry-level (3-5 LPA) to senior specialist (15-26 LPA). HCL, PayPal, Zoho — hiring across Medavakkam, Nanganallur, Kelambakkam, Kovilambakkam and Tidel Park — are among the top local recruiters. Mid-career Generative AI professionals typically reach 7-14 LPA within 3-5 years. The career ladder is well-defined: junior to mid-level to lead, with clear salary progression at each step. Skills in this domain open doors across product companies, IT services, and consulting.

The capstone integrates React + AWS Console end to end — the sort of brief handed to junior engineers in their first quarter at One Indiabulls Park employers.

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.

Graduates from Chromepet, Pallikaranai, Medavakkam, Nanganallur, Kelambakkam, Kovilambakkam now work at Freshworks, TCS, Infosys, Amazon — with the Tamil Nadu region absorbing most placements. The placement journey starts during the final module: coordinators begin sharing job openings and scheduling mock interviews before you complete the course. Alumni feedback directly shapes curriculum updates. When employers start asking for new skills, we add them within weeks. This keeps graduates relevant in a fast-changing hiring landscape.

A free demo session is available before you commit — sit in on a live Chennai batch, then decide.

How the Chennai Generative AI Batch Is Structured

Learners joining from OMR IT Corridor, T Nagar, Velachery, Adyar, Guindy and Vadapalani, Ashok Nagar, Thoraipakkam, Sholinganallur, Porur follow the same sequence: concepts first, then hands-on labs under mentor review, then a portfolio build you can defend in an interview. Nobody graduates having only watched recordings — every stage has a submission that gets checked before you move on.

  • Batches run near: T Nagar, Anna Nagar, Velachery, OMR
  • Employers clustered around: DLF IT Park, One Indiabulls Park, Ramanujan IT City, Tidel Park
  • Entry-level salary signal in Chennai: 3-5 LPA
  • When hiring picks up: Peak: January-March (campus drives) and August-October (laterals). Zoho and Freshworks hire year-round. IT services bulk hiring in Q2-Q3. Slow: May-July (appraisal season) and late November-December (year-end freeze).

Inside the Chennai Cohort — What's Actually Different

The lecture slides don't change by city. What does: the mock-interview panel questions, drawn from how Freshworks, TCS, Infosys, Amazon actually run technical rounds, and the capstone brief, scoped to problems Chennai employers hand to new hires in their first quarter. It's a small difference on paper and a large one in an interview room.

Daily practice covers React, AWS Console, Azure Portal, Redis, Docker, Kubernetes. Portfolio review happens before you ever sit a real interview.

Interview Prep and Pay Bands for Chennai

one of India's top three IT hiring corridors with Asia's largest IT park. Candidates who prepare with real scenario questions — not flashcards — consistently do better in Chennai technical rounds, because interviewers here tend to probe reasoning over recall. That's the format our mock interviews follow.

Compensation bands, for planning purposes: 3-5 LPA at entry level, 7-14 LPA once you've built a track record, and 15-26 LPA at senior/architecture level. Your actual offer depends on the projects you can show, not the certificate alone.

Chennai Generative AI Training — What Separates a Good Programme from a Weak One

A good Generative AI programme in Chennai shows its work: reviewed assignments, an interview-ready capstone, and placement support that outlasts the last live class. A weak one shows a certificate and little else. Ask to see sample project feedback before enrolling — it tells you more than any brochure.

Our Chennai cohorts get mentor-reviewed labs throughout, a capstone scoped to local hiring, structured mock interviews, and placement support for months after graduation — delivered live, hybrid, or fully online depending on what fits your week.

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 Chennai 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 Chennai 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?