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AI Engineer Training in Kolkata with Placement

Tutorsbot's Ai Engineer Course in Kolkata provides end-to-end job support. Placement drives target Cognizant, Capgemini, Bandhan Bank, Genpact, with resume building, mock interviews, and direct recruiter referrals in Kolkata, West Bengal.

4.5(24,538 reviews)
AI Engineer Training in Kolkata with Placement

40+

Hours

7

Modules

18

Topics

4.5

24538 reviews

New

Batches weekly

About AI Engineer Training in Kolkata with Placement

Tutorsbot's Ai Engineer Course in Kolkata provides end-to-end job support. Placement drives target Cognizant, Capgemini, Bandhan Bank, Genpact, with resume building, mock interviews, and direct recruiter referrals in Kolkata, West Bengal.

What This Training Covers

The AI Engineer Training in Kolkata with Placement programme at Tutorsbot spans 40+ hours across 7 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

AI Engineer Training in Kolkata 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

7 modules · 18 topics · 40 hrs

01

Generative AI Foundations

9 topics

  • Generative vs discriminative models — key differences and use cases
  • Transformer architecture — self-attention, multi-head attention, positional encoding
  • Large language models — GPT-4o, Claude 3.5, Gemini 2.0, Llama 3, Mistral families
  • Training paradigms — pre-training, supervised fine-tuning, RLHF, and DPO
  • Tokens and tokenization — BPE, context windows, and token counting
  • Embeddings — word embeddings, sentence embeddings, and similarity search
  • Open-source vs proprietary models — trade-offs, licensing, and self-hosting
  • Generative AI landscape 2026 — capabilities, limitations, and trends
  • Hands-on: Compare GPT-4o, Claude 3.5, and Gemini 2.0 on identical prompts
02

Prompt Engineering

9 topics

  • Zero-shot and few-shot prompting — writing effective instructions without examples
  • Chain-of-thought prompting — step-by-step reasoning and self-consistency
  • System prompts — role assignment, persona design, and behavioral constraints
  • Prompt chaining — decomposing complex tasks into sequential pipelines
  • Generation parameters — temperature, top-p, frequency penalty, and their effects
  • Handling hallucinations — grounding strategies and output verification
  • Prompt templates — Jinja2, versioning, and reusable prompt libraries
  • Prompt injection defense — recognizing and preventing adversarial manipulation
  • Hands-on: Build a prompt engineering toolkit for summarization, extraction, and classification
03

Working with LLM APIs

Topics included

4 more modules available

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Salary & Career Outcomes

What AI Engineer Training in Kolkata 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 AI Engineer Training in Kolkata with Placement

Framework

LLangChain

Application

MMicrosoft Word

What Our Learners Say

Real feedback from AI Engineer Training in Kolkata with Placement graduates

Varun Singh

Backend Engineer · HCL

I did the course twice — first online, then repeated in person for the placement track. The content is the same, but the in-person immersion is unmatched for accountability.

Posted on Tutorsbot

Arjun Bose

Data Analyst · Genpact

The AI Engineer Training in Kolkata with Placement course at Tutorsbot was a turning point in my career. The instructors are working professionals who explain every concept with real production scenarios. I got placed within 3 weeks of finishing the programme.

Posted on Tutorsbot

Shreya Patel

Solutions Architect · IBM

I compared four different institutes before joining Tutorsbot for AI Engineer Training in Kolkata with Placement. The hands-on labs and the capstone project made the difference. Best part: lifetime access to recordings and the alumni group.

Posted on Tutorsbot

Neha Bhatt

Data Engineer · Infosys

I cleared my certification on the first attempt thanks to the mock tests and the dedicated exam-prep session. Tutorsbot genuinely cares about outcomes — not just selling seats.

Posted on Tutorsbot

Aarav Chatterjee

Software Engineer · L&T Infotech

The fee is honest and there are no hidden charges. EMI options are available. The post-course mentorship continued for three months after my batch ended.

Posted on Tutorsbot

Tanvi Iyer

Senior Developer · Meesho

Coming from a non-CS background, I was nervous about starting out. The mentors broke down every concept patiently. The placement team helped me with resume prep and six mock interviews. I landed my first developer role at a product company.

Posted on Tutorsbot

Ravi Tiwari

ML Engineer · Tech Mahindra

Switched from manual testing to automation after this course. The framework-building module was exactly what I needed. Got a 70% salary hike at my next role.

Posted on Tutorsbot

Aditi Gupta

Engineering Manager · Swiggy

The curriculum is up-to-date with current industry standards. They cover the latest tooling, and the case studies are directly applicable to my job. The instructors respond to doubts on Slack even after class hours.

Posted on Tutorsbot

Meera Trivedi

Site Reliability Engineer · Zomato

Loved the hands-on labs — every concept had a corresponding lab environment you could spin up in seconds. No "just theory" lectures. Real production-grade practice.

Posted on Tutorsbot

Vivek Pillai

Full-Stack Developer · Flipkart

As a working professional with six years of experience, I needed upskilling without quitting my job. The weekend batch fit perfectly. The case studies were directly relevant to the work I was already shipping.

Posted on Tutorsbot

Pooja Bhatt

DevOps Engineer · Razorpay

The live online batches are interactive — you can ask questions, share your screen, and the instructor reviews your code in real time. Far better than recorded video courses.

Posted on Tutorsbot

Pranav Khan

QA Engineer · TCS

The placement record is real. They had twelve companies visiting our batch and nine of us got placed, including me. The capstone projects on my resume got me interviews.

Posted on Tutorsbot

Enrol in This Course

All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Sept 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 and LLM Engineering Training at TutorsBot

TutorsBot's Generative AI + LLM Engineering course is a 55-hour programme built for software engineers and ML practitioners who want to build and deploy production LLM applications — not just use ChatGPT. It's available as TutorsBot's flagship AI Engineer Course In Kolkata programme, with live online and classroom batches running weekly. The course covers the full LLM engineering stack: transformer architecture, RAG pipeline design, multi-tool agents, LoRA/QLoRA fine-tuning, and LLMOps with MLflow and LangSmith. Batch sizes stay under 16 so lab sessions remain interactive and every student's code gets reviewed.

Students from Salt Lake Sector V, New Town, Rajarhat, Bidhannagar and surrounding neighbourhoods enrol in our AI Engineer batches in Kolkata, West Bengal. Conveniently accessible from Salt Lake Sector V and New Town, the training location is well-connected by local transport for daily commuters. Employers across Bengal Silicon Valley, DLF IT Park Rajarhat, New Town IT Hub, Salt Lake Sector V Electronics Complex, Unitech Infospace actively recruit AI Engineer 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.

Kolkata is East India's IT anchor — Sector V and New Town host Fortune 500 GCCs alongside homegrown unicorns — which is why AI Engineer openings here refresh faster than candidates can certify for them.

Why GenAI Engineering? The Market Demand Is Real

LLM Engineers and Applied AI roles in India are consistently at the top of salary and demand rankings for 2026. Engineers who can build retrieval-augmented generation systems, fine-tune models on domain data, and manage LLM inference infrastructure are being recruited at ₹15–30 LPA at the 2–5 year experience band — significantly above comparable backend or data engineering roles. Every major product company — Swiggy, Razorpay, Zepto, CRED, Nykaa — has active AI engineering hiring. The skills from this course are in the sweet spot between what the market urgently needs and what the talent pool can actually supply.

Here in Kolkata, across Rajarhat, Bidhannagar, Park Street, Ballygunge and nearby neighbourhoods, East India's IT anchor — Sector V and New Town host Fortune 500 GCCs alongside homegrown unicorns. Major employers — PwC, HSBC, TCS, Accenture — offer competitive salaries for AI Engineer expertise. Entry-level AI Engineer positions begin at 2.5-4 LPA, mid-career professionals earn 5-10 LPA, and senior specialists can reach 12-20 LPA. The city's hiring volume has been growing consistently, and professionals who certify now establish their experience advantage early.

Your portfolio ships with a AI Engineer runbook covering LangChain, Microsoft Word; hiring managers in Kolkata read runbooks faster than they read résumés.

Instructors Who Build Production LLM Systems

Our GenAI instructors have built and shipped production LLM applications at Indian product companies and AI-first startups. They've designed RAG pipelines serving millions of queries, fine-tuned open-source models on proprietary data, and managed vLLM inference clusters in production. They don't teach from documentation — they teach from real trade-offs they've made in production: when RAG beats fine-tuning, how to handle context window limits at scale, and how to evaluate LLM quality metrics that actually correlate with business outcomes.

Your AI Engineer instructors are practitioners based in Kolkata, not career academics. Many have shipped production systems at companies like HSBC and TCS from offices at New Town IT Hub and teach AI Engineer to students from Ballygunge, EM Bypass, Camac Street. They bring real-world debugging experience, architecture decisions made under pressure, and an understanding of what local hiring managers actually look for. Our Salt Lake Sector V and New Town batches benefit from this practitioner-to-learner knowledge transfer — because the fastest way to learn what matters is from someone who does it daily.

Classroom sessions run out of the Salt Lake Sector V, New Town, Park Street belt, the part of Kolkata best served by shared transport for a 7pm start.

Certification and Proof of Skill

TutorsBot provides a course completion certificate validated through project submissions — a working RAG system, an agent with tool use, and a deployed inference endpoint. For AI roles, what matters more than the certificate is the GitHub portfolio. Recruiters searching for Ai Engineer Course in Kolkata holders at product companies are increasingly screening GitHub portfolios as the first filter. TutorsBot's project structure is designed specifically to produce demo-ready code that holds up to technical interview scrutiny.

Employers in Kolkata hiring for AI Engineer roles — including TCS, Accenture, IBM sourcing candidates from Behala, Dum Dum, Barasat and Unitech Infospace — 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.

Labs are built on LangChain, Microsoft Word — the same toolchain Kolkata teams put in front of new hires during trial tasks.

GenAI Jobs: Where the Demand Is

Bangalore has the highest density of LLM and GenAI engineering roles, followed by Hyderabad and Pune. Remote roles in this domain are more available than most — many AI-first startups hire remotely across India. Titles actively recruiting include LLM Engineer, AI Engineer (GenAI), Applied Scientist, ML Platform Engineer, and GenAI Product Engineer. FAANG India teams are also building LLM infrastructure. The roles matching AI Engineer Course In Kolkata With Placement are consistently oversubscribed on LinkedIn and Naukri, with multiple competing offers being common for qualified candidates.

East India's IT anchor — Sector V and New Town host Fortune 500 GCCs alongside homegrown unicorns — and the employers proving it are Cognizant, Capgemini, Bandhan Bank, Genpact, EY, all hiring AI Engineer talent across Salt Lake Sector V, New Town, Rajarhat and surrounding West Bengal corridors. Key IT hubs driving this demand include Bengal Silicon Valley, DLF IT Park Rajarhat, New Town IT Hub, Salt Lake Sector V Electronics Complex, Unitech Infospace. Entry-level compensation starts at 2.5-4 LPA, mid-level professionals earn 5-10 LPA, and senior roles command 12-20 LPA. Unlike seasonal hiring in other industries, IT and tech recruitment here remains consistent across quarters.

Learners travel in from EM Bypass, Camac Street, Gariahat, Jadavpur and the surrounding suburbs; weekend cohorts exist specifically for those longer commutes.

Who Should Join This Course

Software engineers who want to move into AI roles, ML engineers broadening into LLM applications, backend engineers who want to build AI-powered products, and data scientists moving toward production deployment. You need solid Python — not just scripting but working with decorators, async, and APIs. Prior deep learning experience is not required; transformer architecture is taught from the attention mechanism up. This is not a course for business users who want to understand AI — it's for engineers who want to build it.

Whether you are commuting from EM Bypass, Camac Street, Gariahat, Jadavpur (Kolkata Metro Line 1 (Noapara to Kavi Subhash via Park Street, Maidan, Jadavpur).) or joining online from elsewhere in West Bengal, our AI Engineer 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 AI Engineer to their existing skill set. Salt Lake Sector V, New Town, Park Street batches attract a diverse mix of fresh graduates and career-changers, with many placed at companies across New Town IT Hub.

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

What You'll Actually Build

A complete RAG pipeline with document chunking, embedding, vector search, and LLM response generation. A multi-tool ReAct agent using LangGraph that can query APIs, run SQL, and retrieve from a knowledge base. A LoRA fine-tuned version of an open-source LLM trained on custom data. A production inference endpoint using vLLM and FastAPI with rate limiting. An LLMOps monitoring dashboard using MLflow tracking model quality metrics. Every project is reviewed and iterated on with your instructor.

Every module in the Kolkata AI Engineer curriculum ties directly to what PwC, HSBC, TCS in Salt Lake Sector V Electronics Complex 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. Jadavpur, Science City, Alipore programme graduates regularly cite their capstone projects as the reason they stood out during interviews.

Your portfolio ships with a AI Engineer runbook covering LangChain, Microsoft Word; hiring managers in Kolkata read runbooks faster than they read résumés.

Tools and Platforms

OpenAI API and Anthropic Claude API for foundation model access. LangChain and LangGraph for orchestration and agent design. HuggingFace Transformers and Unsloth for fine-tuning. Pinecone, Weaviate, and FAISS for vector search. vLLM for high-throughput inference. MLflow and LangSmith for observability. FastAPI and Docker for deployment. PostgreSQL for structured data in agent pipelines. The course uses production-grade tooling — the same stack used at Indian product companies hiring for these roles.

HSBC, TCS, Accenture, IBM — all active employers in Kolkata at DLF IT Park Rajarhat — use the same tools we cover in AI Engineer training. Our sessions serving Kasba, Tollygunge, Behala, Dum Dum include dedicated lab hours where you apply concepts under mentor supervision with these exact tools. Because East India's IT anchor — Sector V and New Town host Fortune 500 GCCs alongside homegrown unicorns, being productive with the toolchain from day one gives you a measurable advantage over candidates who learned from scattered online resources.

Classroom sessions run out of the Salt Lake Sector V, New Town, Park Street belt, the part of Kolkata best served by shared transport for a 7pm start.

Career Paths After Training

GenAI Developer at an AI-first startup (₹10–18 LPA at 0–2 years), LLM Engineer at a product company (₹18–32 LPA at 2–5 years), Senior AI Engineer or Applied Scientist (₹30–50 LPA at 5+ years). Consulting firms building AI advisory practices are also actively recruiting engineers who can design and deliver LLM solutions for enterprise clients. Roles matching AI Engineer Course In Kolkata With Placement appear regularly at Swiggy, Zepto, CRED, Razorpay, Nykaa, Meesho, and Bangalore-Hyderabad offices of Google, Microsoft, and Amazon.

In Kolkata, AI Engineer roles span entry-level (2.5-4 LPA) to senior specialist (12-20 LPA). PwC, HSBC, TCS — hiring across Barasat, Howrah, Ruby Hospital Area, Chinar Park and Salt Lake Sector V Electronics Complex — are among the top local recruiters. Mid-career AI Engineer professionals typically reach 5-10 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.

Labs are built on LangChain, Microsoft Word — the same toolchain Kolkata teams put in front of new hires during trial tasks.

Real Outcomes from TutorsBot Students

A backend engineer from Bangalore with 4 years of Node.js experience completed this course and joined an AI-first fintech as an LLM Engineer — salary moved from ₹16 LPA to ₹28 LPA. A data analyst from Hyderabad pivoted into an AI Engineer role at a product company within 6 weeks of completing the course. An ML engineer used the fine-tuning module to build an internal domain-specific chatbot at their company — it got promoted to production, and they were promoted to AI Tech Lead. The course is structured for real outcomes, not certificates.

Graduates from Behala, Dum Dum, Barasat, Howrah, Ruby Hospital Area, Chinar Park now work at Cognizant, Capgemini, Bandhan Bank, Genpact — with the West Bengal 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 Kolkata batch, then decide.

Who Actually Joins This AI Engineer Course in Kolkata

Three groups show up most often in our Kolkata cohort: professionals commuting daily from Salt Lake Sector V, New Town, Rajarhat, Bidhannagar, Park Street, recent graduates from Ballygunge, EM Bypass, Camac Street, Gariahat, Jadavpur building their first serious project, and career-switchers who need a schedule that survives a full-time job. The curriculum is sequenced so all three keep pace — fundamentals, guided labs, then a reviewed capstone.

  • Where Kolkata hiring concentrates: Bengal Silicon Valley, DLF IT Park Rajarhat, New Town IT Hub, Salt Lake Sector V Electronics Complex
  • Session locations near: Salt Lake Sector V, New Town, Park Street, Gariahat
  • Senior-level ceiling in Kolkata: 12-20 LPA
  • Placement drive timing: Peak: January-March (campus from JU/CU/IIT-Kgp) and August-October (laterals). Sector V companies hire year-round. Slow: May-July and December.

Why This Isn't a Generic AI Engineer Course Reused for Kolkata

A lot of "training in Kolkata" pages are the national page with a find-and-replace on the city name. We built this one around what Kolkata 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 Cognizant, Capgemini, Bandhan Bank, Genpact come up often enough in mock interviews that candidates stop being surprised by the question style.

You'll be hands-on with LangChain, Microsoft Word throughout. The goal is a portfolio piece you can defend, not a certificate you can't explain.

Interview Prep and Pay Bands for Kolkata

East India's IT anchor — Sector V and New Town host Fortune 500 GCCs alongside homegrown unicorns. Candidates who prepare with real scenario questions — not flashcards — consistently do better in Kolkata technical rounds, because interviewers here tend to probe reasoning over recall. That's the format our mock interviews follow.

Compensation bands, for planning purposes: 2.5-4 LPA at entry level, 5-10 LPA once you've built a track record, and 12-20 LPA at senior/architecture level. Your actual offer depends on the projects you can show, not the certificate alone.

Questions Worth Asking Before You Enrol in Kolkata

Ask any AI Engineer training provider in Kolkata these four things: who reviews your labs, how recent the syllabus updates are, whether mock interviews are included, and what placement support looks like after week one of the course ends. Vague answers on any of these usually predict a weak outcome six months later.

We answer all four directly: mentor-reviewed labs, a syllabus updated against live job postings, structured mock interviews, and placement support that runs well past your last class. Format flexibility — classroom, hybrid, or online-live — comes standard in Kolkata.

Hire Trained Talent

Hire Generative AI + LLM Engineering Trained Professionals

Our Generative AI + LLM Engineering 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 + LLM Engineering, 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 AI Engineer Training in Kolkata 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 AI Engineer Training in Kolkata with Placement, answered by our training experts

1What is the fee for the Generative AI and LLM Engineering course?
TutorsBot's Generative AI + LLM Engineering course is priced at ₹26,000 for live instructor-led batches. Self-paced access is available at ₹22,000. Corporate group bookings for teams of 6 or more get volume pricing. The 55-hour programme covers everything from prompt engineering through production LLM deployment — designed to move you from zero to job-ready in GenAI engineering.
2What salary can I expect after completing the Generative AI and LLM Engineering course?
LLM Engineers and GenAI Developers in India earn ₹12–30 LPA at 2–4 years of experience. Senior Applied Scientists and ML Platform Engineers with LLM deployment experience at product companies earn ₹28–50 LPA. AI-first startups in Bangalore and Hyderabad are competitive on salary because GenAI talent is still genuinely scarce. Engineers who can build RAG pipelines, fine-tune models, and manage LLM inference infrastructure command the highest premiums.
3What topics are covered in the Generative AI and LLM Engineering syllabus?
The course covers transformer architecture and attention, prompt engineering patterns (zero-shot, few-shot, chain-of-thought), RAG pipeline design with vector databases (Pinecone, Weaviate, FAISS), LangChain and LangGraph for multi-tool agents, LoRA/QLoRA fine-tuning with Unsloth and HuggingFace, LLM evaluation with RAGAS and LangSmith, production deployment with vLLM and FastAPI, and LLMOps monitoring with MLflow. All modules include hands-on labs.
4How long does the Generative AI and LLM Engineering training take?
It's a 55-hour course typically completed in 6–8 weeks at two sessions per week. Weekend-intensive batches finish in 4–5 weekends. The content is dense and hands-on — there's a significant learning curve between understanding LLM APIs and actually deploying fine-tuned models, and the pacing is designed to bridge that gap properly.
5Is this Generative AI and LLM Engineering course suitable for freshers?
Freshers with solid Python programming skills and basic ML exposure (what a model is, what training means) can do this course. Computer science graduates or engineering freshers who've built Python projects and have exposure to NumPy/Pandas are well-positioned. Coming into the job market with verified GenAI engineering skills — RAG, fine-tuning, agents — is an extremely strong differentiator right now.
6What are the prerequisites for the Generative AI and LLM Engineering course?
Python proficiency is required — you should be comfortable with classes, decorators, async programming, and working with APIs. Basic familiarity with ML concepts is helpful but not mandatory. You don't need prior LLM or transformer model experience — everything is built from the architecture level up. Comfort with the command line and basic Docker usage will help in the deployment modules.
7What job roles are available after completing the Generative AI and LLM Engineering course?
LLM Engineer, GenAI Developer, AI Engineer, Applied Scientist, ML Platform Engineer, and AI Product Engineer are the primary roles. Product companies in Bangalore and Hyderabad are the main hirers — Swiggy, Razorpay, Zepto, CRED, and dozens of Series B+ AI startups actively recruit GenAI engineers. FAANG India teams are also hiring for LLM infrastructure roles. These roles are consistently among the highest-paying engineering positions in the Indian market.
8Is Generative AI and LLM Engineering certification worth it in 2026?
Absolutely. The fundamental LLM engineering skills — RAG, fine-tuning, inference, agents — are not going away regardless of which foundation model is current. The market is flooded with people who've taken ChatGPT demos and prompt engineering courses, but engineers who can actually build and deploy LLM systems are still scarce. This course targets the engineering layer that has lasting value.
9What is the future scope for Generative AI and LLM Engineering professionals?
Strong and accelerating. Every major product company in India is embedding LLM functionality into their core product. The shift from experimental GenAI features to production-grade LLM pipelines is creating sustained demand for engineers who understand the full stack — from embeddings and retrieval to fine-tuning and inference optimisation. Bangalore, Hyderabad, and Pune have the highest concentration of roles, but remote opportunities are more common than in most engineering specialisations.
10Can working software engineers complete this course alongside a full-time job?
Yes. Most full-time engineers complete this in 6–8 weeks with weekend sessions plus one weekday evening. The lab environments are pre-configured so you're not spending time on setup. The topic order is designed so you can start applying concepts at work within the first two weeks — several engineers have shipped small internal LLM tools while still mid-course. Recording access means no session is lost to a late sprint or production incident.

Still have questions?