| Duration: | 40 Hrs (Weekdays & Weekend Session) |
|---|---|
| Mode: | Online/Classroom |
| Certification: | WebAsha Large Language Models Certificate (Job-Oriented) |
| Institute: | WebAsha Technologies |
| Includes: | Hands-On Labs, Real Projects & Attendance Certificate |
Our learners are hired by the world's most respected technology, IT services and consulting brands.
Our learners talk about how the program changed their careers.
Real feedback from learners now placed across top technology and consulting firms.
A step-by-step path from your first lesson to certification and a job offer.
What you get from our Large Language Models (LLMs) course: a solid foundation in the basics and real-world, job-ready skills.
What learners get at WebAsha Technologies: practical IT training and the skills employers hire for.
Career-focused IT training with expert mentors, practical labs and globally recognized certifications, so you stand out when you apply for jobs.
| Features | Recommended WebAsha Technologies | Other Institutes |
|---|---|---|
| Expert Trainers | 10+ Years Experienced Industry Professionals | Freshers or Part-time Instructors |
| Course Curriculum | Updated & Industry-Relevant (Cybersecurity, Cloud, DevOps, Linux, AI/ML) | Basic or Outdated Content |
| Hands-on Learning | Real Projects, Labs & Case Studies | Theory-Focused, Limited Practical |
| Certifications | Globally Recognized (EC-Council, OffSec, Red Hat, AWS, Microsoft, etc.) | Generic or Unrecognized Certificates |
| Placement Support | 100% Assistance + Resume & Interview Coaching | Limited or No Job Support |
| Flexible Learning | Classroom & Online Training Options | Rigid Timings, Mostly Classroom-Only |
| Learning Resources | Lifetime LMS Access, Study Materials, Recorded Sessions | Minimal or No Additional Resources |
| Batch Size | Small Groups with 1:1 Mentorship | Large, Crowded Batches |
Our counsellors can help you arrange a batch that fits your timing.
Build practical skills with our Classroom and Online Large Language Models (LLMs) Training at WebAsha Technologies. The classes are hands-on and built around getting you hired.
This is a hands-on, job-oriented program on large language models, the engines behind modern AI. It covers how transformers and LLMs work, tokenization and embeddings, using open and closed models, prompting, fine-tuning and parameter-efficient fine-tuning (LoRA/QLoRA), retrieval-augmented generation, evaluation, and deploying and serving LLMs. It prepares you for LLM developer and AI engineer roles.
The course suits developers, machine learning practitioners and data professionals who want solid, practical large language model skills and plan to move into LLM and AI engineering roles.
You should be comfortable using a computer. Online participants need a stable internet connection and a laptop or desktop for the live labs.
Basic Python and some familiarity with machine learning help. If you are new to Python, start with our Python Programming course; our Machine Learning course pairs well with this one.
LLM skills are in demand. In India, LLM developers and AI engineers typically earn ₹6 LPA to ₹45+ LPA.
| Category | Tools & components covered |
|---|---|
| Models | Llama, Mistral, GPT, Claude |
| Library | Hugging Face Transformers |
| Fine-tuning | LoRA, QLoRA, PEFT |
| Vectors | FAISS, Chroma |
| Serving | vLLM, Ollama |
| Frameworks | LangChain, PyTorch |
| Language | Python |
| Hardware | GPU basics |
The first module explains what is inside a large language model and how it produces text.
Text has to be turned into numbers before a model can use it. This module covers the two steps involved.
You work with hosted models through their APIs and run open-source models on your own machine.
A model can be steered through the prompt alone, without any training. This module shows how.
When prompting is not enough, you adapt the model itself. The module compares full fine-tuning with cheaper parameter-efficient methods.
RAG pairs a model with a search step so that answers can draw on your own documents.
You learn how model quality is measured and how to find the places where a model gets things wrong.
The course ends with serving a model efficiently and a project of your own.
Get the full curriculum, modules & exam details delivered to you instantly.
Learn from certified Large Language Models (LLMs) experts who work in the industry and teach with practical, real-world examples.
Test your skills with an online assessment exam and find out how ready you are for your certification.
Large Language Models (LLMs) is a hands-on, job-oriented course that ends with a WebAsha completion certificate. It covers transformers, prompting, fine-tuning, RAG and serving, and prepares you for LLM developer and AI engineer roles. WebAsha Technologies in Pune adds real projects and placement support.
| Attribute | Details |
|---|---|
| Certificate | WebAsha Course Completion Certificate |
| Format | Hands-on and job-oriented, with labs and real projects |
| Level | Beginner to Advanced |
| Prepares For | LLM developer and AI engineer roles. It is also a base for LLM engineering and MLOps |
| Prerequisite | Basic Python helps, and some familiarity with machine learning is useful |
| Includes | Real projects and placement support |
| Mode | Online or classroom |
Engineers with LLM skills are hired across India's AI industry. The table shows typical roles and salary ranges.
| Job title | Primary responsibilities | Average salary (INR) |
|---|---|---|
| LLM Developer | Builds with large language models. | Fresher: ₹6-12 LPA Experienced: ₹18-42 LPA |
| AI Engineer | Builds and deploys AI systems. | Fresher: ₹6-12 LPA Experienced: ₹18-42 LPA |
| Machine Learning Engineer | Builds and fine-tunes models. | Fresher: ₹6-11 LPA Experienced: ₹18-40 LPA |
| NLP Engineer | Builds language AI systems. | Fresher: ₹6-11 LPA Experienced: ₹16-38 LPA |
| Applied AI Scientist | Applies LLMs to business and research problems. | Experienced: ₹20-45 LPA |
| GenAI Engineer | Builds generative AI systems. | Fresher: ₹6-12 LPA Experienced: ₹18-40 LPA |
Salaries vary with experience and skill. The Large Language Models (LLMs) course gives you practical skills for these roles.
Large language models are the models that modern AI products run on, and AI teams hire people who know how to work with them.
Learn Large Language Models (LLMs) with WebAsha Technologies. The course is hands-on and job-oriented, taught by expert trainers, with placement support.
Learning, career, certification and placement support in one program.
Former students now working at leading companies, and how they got there.
Large Language Models (LLMs) is a hands-on Python programming and data science training course by WebAsha Technologies, available online and in classroom with live projects, certification prep and placement support. It suits beginners and professionals, runs about 6 to 12 weeks, and leads to roles such as Python Developer, Data Analyst, Data Scientist paying roughly 4.0 to 26.0 LPA.
| Feature | WebAsha Python | Self-study | Generic online course |
|---|---|---|---|
| Live instructor-led training | Yes | No | Sometimes |
| Hands-on labs & real projects | Yes | Limited | Limited |
| Certification exam preparation | Yes | Self-managed | Varies |
| Doubt-solving & mentorship | Yes | No | Limited |
| Placement assistance | Yes | No | Rare |
| Industry-recognised certificate | Yes | No | Varies |
Last updated: 8 July 2026
Large Language Models (LLMs) is a hands-on training program in Python programming and data science. It takes you from fundamentals to working skills through live sessions, lab practice and real projects, with an industry-recognised certificate and placement support.
Freshers and students starting to code Professionals moving into data or automation Aspiring data analysts and scientists Developers adding Python to their skill set
Basic computer familiarity Logical thinking and interest in coding No prior programming experience required
You will build practical skills including python fundamentals & data structures, object-oriented programming, file & exception handling, libraries (numpy, pandas), data analysis & visualization and more, applied through hands-on labs and real projects.
The Large Language Models (LLMs) syllabus spans Python programming and data science, from core concepts to advanced modules, each reinforced with lab exercises and a capstone-style project.
Large Language Models (LLMs) typically runs about 6 to 12 weeks depending on the track (weekday or weekend), plus lab and project time. Fast-track and extended options are available. Ask for the current batch schedule.
Large Language Models (LLMs) fees depend on the mode (classroom or live-online) and track, and WebAsha Technologies offers flexible / no-cost EMI options. Request the latest fee details and any running offers from the enquiry form.
Both. You can take Large Language Models (LLMs) as a live-online program or attend classroom sessions, with the same syllabus, hands-on labs and trainers in either mode.
Yes. Large Language Models (LLMs) runs in weekday, weekend and evening batches so students and working professionals can train without disturbing their schedule.
Yes. Large Language Models (LLMs) starts from fundamentals so beginners can follow along, while the advanced modules add depth for experienced learners.
Absolutely. Many learners are working professionals. Flexible weekend, evening and live-online Large Language Models (LLMs) batches let you upskill without a career break.
Yes. Large Language Models (LLMs) is project-driven. You practise in real labs and build live projects in Python programming and data science alongside the theory, so you finish interview-ready.
After completing Large Language Models (LLMs) you can target roles such as Python Developer, Data Analyst, Data Scientist, Automation Engineer, with senior packages reaching around 26.0 LPA depending on experience and location.
Python programming and data science roles typically start around 4.0 LPA for freshers and rise to about 26.0 LPA for experienced professionals. Actual packages depend on your skills, role and employer.
Yes. Python programming and data science skills are in strong, growing demand across IT services, product companies and startups, offering clear career progression and rising salaries for certified professionals.
Trained Python professionals are hired by IT-services majors, global capability centres, product companies and startups. Organisations across the industry actively recruit for Python programming and data science.
Yes. WebAsha Technologies provides resume building, mock interviews and referrals to hiring partners as part of dedicated placement support. Outcomes depend on your skills and effort.
Large Language Models (LLMs) is taught by experienced, industry-certified trainers who bring real project experience into the classroom, so you learn current, job-relevant practices.
Yes. You receive an industry-recognised WebAsha training certificate, and the course also prepares you for the relevant official certification exam.
Yes. Alongside job skills, Large Language Models (LLMs) includes structured exam preparation, with practice tests and guidance for the recognised Python certification employers look for.
Yes. You can book a free demo session for Large Language Models (LLMs) to meet the trainer and experience the teaching style before you enroll.
WebAsha combines hands-on labs, certified trainers, live projects, certification prep and dedicated placement support. It is a practical, job-focused route into Python programming and data science.
Click Enroll Now, request a callback, or message our team on WhatsApp to get the latest batch schedule, fees and available offers.
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