Joint certification · Vishlesan i-Hub, IIT PatnaGenAI With ML is a live, mentor-led generative AI and agentic AI course in India — LLMs, RAG, LangGraph and multi-agent systems for developers and data professionals.
LangChain
LangGraph
CrewAI
AutoGen
Milvus
Hugging Face
FastAPI
DockerCompanies where Skillfyme learners work today.
Learners review us on Google, Trustpilot and Quora. Every score below opens the live page.
Great experience with the Gen AI course! The sessions were easy to follow, and the trainer explained everything in a simple and practical way. I really liked the hands-on approach—it made learning much more interesting. Definitely recommend it!
Vishnudath PS Google review, 5 out of 5 (opens in a new tab)Really enjoyed the Gen AI course! The trainer was supportive and the practical sessions made learning easy and interesting.
Aravind Radhakrishnan Google review, 5 out of 5 (opens in a new tab)I enrolled in the Gen AI course, and it has been a really good experience. The content is well-structured, and the sessions are very informative. I would definitely recommend this course to others.
Pranav TP Google review, 5 out of 5 (opens in a new tab)I recently joined the GenAI with Machine Learning program from Skillfyme. The classes are easy to follow and the trainers explain things in a simple way. Even if you are not from a strong technical background, you can understand the concepts. Practical examples make learning more interesting.
Sushmitha Google review, 5 out of 5 (opens in a new tab)I joined the Gen AI with ML Masters Program to understand how AI and machine learning work beyond just tools. The program breaks things down step by step, from basics to practical applications. It helped me understand real-world use cases and improved my confidence with AI tools and concepts.
Koushik Bogapuram Google review, 5 out of 5 (opens in a new tab)I joined a Generative AI course from Skillfyme to upgrade myself, and it turned out to be a great decision. The course is simple, practical, and focuses on real-life applications like improving efficiency and handling tasks faster. Very helpful for working professionals.
Anoop Kumar Google review, 5 out of 5 (opens in a new tab)Ready to be the next review?
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Custom-made for every domain. A hands-on, mentor-led program covering every layer of the modern AI stack, from foundational ML to production-grade GenAI and LLMOps.
You, today. A fresher or 15 years in, from any domain.
Every module, Python, ML, Deep Learning, NLP, GenAI, LLMs, Agentic AI and LLMOps, comes with guided mentorship. Live classes, weekday or weekend.
4 or 6 months · + up to 6 extra months of handholding
Ship LLM apps, GenAI agents, MLOps pipelines and ML projects as you learn. Build a portfolio that stands out.
Published where recruiters look
Bring a real business problem from your office or dream company, and solve it end to end with an expert project guide.
Your domain · your problem · deployed
Resume building, mock interviews, system design prep and soft skills training for AI/ML, MLOps and GenAI roles.
AI/ML Engineer · MLOps Engineer · GenAI Engineer
Your next role in AI.
Six things you get. Tap any one to see it in action.
Live classes with expertsAsk in class, get answers on the spot.
Here is a typical week. Pick the batch that suits your schedule.
Every module has its own project, so you build while you learn. At the end you complete two capstone projects.
Every class is recorded, with lifetime access that is never revoked. Missed a few? Join a fresh batch: access to live sessions is lifetime too.
Non-IT, fresher or twenty years in: there is a way in for you. Three taps show yours.
What do you do today?
Pick the closest. Every background has a way in.
From Python to production-grade LLMOps. Seven modules on one line: pick any stop to see every class.
After this module: Write clean Python, work with data and turn it into analysis and charts.
Your journey: 8 of 54 live classes done after this module
Every class in this module
One course, both skills. Generative AI produces content from a prompt. Agentic AI uses the same models to plan, call tools and finish multi-step tasks. Every agent is an LLM application underneath, so this generative AI and agentic AI course teaches generative AI first, then agentic AI built on top of it.
| Generative AIOne prompt in, one answer out.PromptLLMOne passAnswer | Agentic AIOne goal in, a finished task out.GoalLLM plansCalls a toolChecks the resultRepeats until the task is doneTask done | |
|---|---|---|
| What it does | Creates text, code, images or answers from a prompt, grounded in your own data when needed. | Works through a multi-step task: plans, calls a tool, checks the result and repeats until the job is done. |
| Core building blocks | Transformers and attention, prompt engineering, large language models, vector databases and retrieval-augmented generation (RAG). | Agent architectures and design patterns, tool calling, agentic RAG and multi-agent orchestration. |
| Frameworks you use | Open-source LLMs and model variants, LLM frameworks, vector databases and fine-tuning for model adaptation. | LangChain and LCEL, LangGraph, CrewAI, AutoGen and Phidata. |
| What you build | LLM applications and RAG systems, then deploy them as generative AI applications. | AI agents with LangGraph and Phidata, agentic RAG pipelines and multi-agent systems with LangGraph and CrewAI. |
| Running it in production | LLM caching and routing, evaluation metrics and responsible AI for LLMs. | Agent observability and AgentOps, CI/CD, deployment and scaling of LLM systems. |
Agents are built on LLM applications, so generative AI comes first.
All 44 tools below are taught in the curriculum, module by module. Watch them play through, or pick a module.
PythonWrite every model, pipeline and agent in the course.
JupyterExplore data and run experiments in notebooks.
NumPyHandle arrays and the maths under every model.
pandasLoad, clean and reshape tabular data.
MatplotlibPlot data and model results.
SeabornDraw statistical charts in a few lines.
By the end of the program you can build an AI system, ship it and keep it healthy in production. Every skill below has its place in that loop.
Get data into a shape a model can learn from.
Turn that data into models that hold up.
Ground models in your data and give them tools.
Get it to users, through pipelines, on any cloud.
Know which version is live, and why.
Keep it accurate, fast and affordable.
Then it runs again. Monitoring spots drift, fresh data comes in, and the loop starts back at 01.
A project in every module, then two capstones. Here are the seven module projects and the advanced capstone, each modelled on how a company you know runs AI in production.
Module 1 · Python & StatsInspired by WalmartWalmart studies sales across stores and seasons to plan what to stock.
What you'll learn
Tools
PythonpandasNumPySeabornJupyterTaught inModule 1 · Session 4: Data Analysis and Visualization
You shipAn EDA notebook with charts that explain what drives sales
Projects are modelled on systems these companies have described publicly and are built on open data. The companies are not partners of this program.
Two recorded live sessions from this program. See how classes run before you pay a rupee.
Four quick questions. No payment needed.
AI is transforming industries worldwide, and the market is still at the bottom of its curve. Here is where you would join it.
85% of the growth is still ahead of you.
Generative AI revenue is forecast to grow from $40B in 2022 to $1.3T by 2032. Most of that climb comes after you graduate in 2027.
Curve: steady ~42% yearly growth between Bloomberg Intelligence's 2022 ($40B) and 2032 ($1.3T) figures, June 2023; points between are the trend, not separate forecasts. $668B (2030): Fortune Business Insights, August 2023. McKinsey Global Institute, “The economic potential of generative AI”, June 2023. World Economic Forum, Future of Jobs Report 2025.
Six roles, what each pays in India, and the companies hiring for them. Tap a badge to flip it.
Annual CTC in India. 300+ hiring partners · 2026 cohort hiring data. Actual offers depend on your experience, skills and interviews.
Skillfyme learners who upskilled with us and moved to a better job. Each column rises by their salary hike.
SwatiPlaced at
Manipal IT
VaibhavPlaced at
SindhiyaPlaced at
SuryaPlaced at
PradeepPlaced at
MukeshPlaced at
From Skillfyme's Placement Diaries. Hikes are as reported by each learner; individual results vary.
Nine AI roles this course prepares you for, and the real work each one does every day.
Turns data into models that keep working in production.
Builds systems that read, sort and understand text.
Builds models that create text, images and audio, safely.
Puts AI inside the apps people use every day.
Builds AI agents that plan, use tools and finish tasks.
Designs the whole AI system and picks the right parts.
Decides what an AI product should do, and proves it works.
Helps companies decide where AI pays off, and how to adopt it.
Turns new research into models that solve real problems.
Every career step stands on what you learned. Watch it build, or pick a step.
Nine learning objectives, from Python to LLMOps.
Who stands behind your certificate.
IIT Patna at a glanceRecognises Vishlesan i-Hub as an NIC (National Innovation Centre), part of India's national AI mission.
Hosted byOne of India's top engineering institutes, with incubators and innovation hubs that bridge academia and industry.
Research hubAdvances AI in speech, video and text analytics for health, education and security.
What you receiveIssued jointly by Skillfyme and Vishlesan i-Hub, carrying the credibility of an IIT institution.
Two certificates when you finish. Try one on.
Joint certificate
Vishlesan i-Hub Foundation, TIH of IIT Patna, with Skillfyme
Completing the program gives you an industry-recognized certificate and skills hiring managers look for.
Developed by subject matter experts, covering crucial topics and the latest trends in GenAI and ML.
Hands-on projects and real-world applications that prepare you for production AI roles.
Skillfyme learners on camera, in their own words. Tap a face to watch.
Data Analyst, non-CS background
A clear path from machine learning to GenAI, learned without a computer science background.
Learners comparing generative AI courses are often pricing an LLM course, a RAG course and a LangChain course separately. This programme teaches them as phases of one live cohort, from Python and ML foundations to deployed agents.
The courses you were about to buy separately:
Included in this programme · Modules 5–6
Instead of a separate LLM course
Large language models from transformers upward, then LLM-based application development: building, evaluating and deploying applications on top of LLMs.
of 6 courses still to buy separatelyAll 6 are taught here: one live cohort, one fee.
Nine things to check before you pick a program.
| IncludedPartlyNot available | SkillfymeGenAI With ML Masterswith Vishlesan i-Hub, IIT Patna | Typical courseOnline GenAI programWhat most programs offer |
|---|---|---|
| What you learn | ||
| Curriculum breadth | Included: Python, ML, DL, NLP, GenAI, LLMs, Agentic AI and LLMOps | Partly: Basics or niche topics; GenAI and agentic AI often missing |
| Beginners and professionals | Included: Python and statistics bootcamp for beginners; LLMOps and agentic AI for professionals | Partly: One track for everyone |
| GenAI and LLM depth | Included: Transformers, prompting, RAG, fine-tuning, caching, routing and deployment | Partly: Surface-level GenAI, no deployment |
| Future skills | Included: MLOps and LLMOps tracks with LangChain, LangGraph, CrewAI and AutoGen | Partly: Little depth in LLMOps |
| What you build | ||
| Projects | Included: 50+ hands-on projects with real datasets | Partly: A few practice projects |
| Capstone | Included: A live problem from your company or a partner enterprise | Partly: A fixed, academic-style project |
| Hands-on share | Included: 80–85% hands-on: pipelines, multi-agent systems, deployments | Partly: Mostly theory and notebook demos |
| Who teaches and supports you | ||
| Faculty | Included: IIT faculty and experts from Walmart, Harman, Meta, Microsoft and AI startups, with 1:1 project guidance | Partly: Mostly platform tutors |
| Alumni network | Included: AI/ML professionals across FAANG, Fortune 500 and startups | Partly: Smaller, platform-only network |
4 or 6 monthslive, instructor-led
Comparing us with a course you are already considering? An advisor can go through it with you, row by row.
“Typical course” describes what is common across online GenAI programs, not any one provider. Individual programs vary, so check the details of any course you are considering.
One program fee with no hidden costs. Pay it in full, or split it into no-cost monthly EMIs.
Pay in full
₹50,000
₹68,000You save ₹18,000
One payment. No hidden costs.
Pay monthly
₹4,167/month
for 12 months · 0% interest
No-cost EMI on credit and debit cards. No processing fee.
and many more banksReserve your seat
₹50,000 or ₹4,167/mo
A one-minute form.
An advisor calls you next.
Fill a short form
Your name, email, phone and experience. It takes a minute.
An advisor calls you
Ask anything, and confirm the batch that suits you.
Choose how to pay
Pay in full, or split it into no-cost EMIs.
Start on 14th Nov
Get your welcome kit and batch access.
Everything to know before you enroll. Start with the quick answers, or search any question.
₹50,000, or ₹4,167 a month for 12 months with no-cost EMI.
The program fee is ₹68,000, currently ₹50,000. You can pay it in full, or split it into 12 no-cost EMIs of about ₹4,167 a month.
No-cost EMI is available on credit and debit cards, with 0% interest and no processing fee. There are no hidden costs on top of the program fee.
The next batch starts on 14th Nov 2026, with live classes from 8:00 to 11:00 AM IST.
The next batch starts on 14th Nov 2026. Live classes run from 8:00 to 11:00 AM IST.
You can choose the weekday batch, which finishes in 4 months, or the weekend batch, which spreads the same curriculum over 6 months. An advisor confirms the batch that suits your schedule before you pay.
Fill a short form, an advisor calls you, you choose how to pay, then you start your batch.
Enrolling takes four steps:
Yes. A 100% refund within 3 days of enrollment.
Yes. We offer a 100% refund within 3 days of enrollment. After 3 days, no refunds are issued.
Yes. You pay through a secure gateway in your local currency.
Yes. Classes are live online, so you can join from anywhere. Learners outside India pay through a secure payment gateway with multiple payment methods, in their local currency at transparent rates.
The same 3-day refund policy applies. No-cost EMI is offered on Indian credit and debit cards.
4 months in the weekday batch, or 6 months in the weekend batch.
The program runs for 6 months in the weekend batch or 4 months in the weekday batch. Both tracks follow the same curriculum and the same live instructor-led format; the weekend track spreads identical content over a longer period for working professionals.
Mostly live, instructor-led classes, with a few self-paced topics.
Every session is recorded, so you can catch up.
All sessions are recorded and uploaded. You also receive assignments, notes and doubt-clearing sessions to stay on track.
No. Python, statistics and ML basics are taught in class.
No. We cover all prerequisites in class (Python, statistics and ML basics).
1:1 doubt support around the clock, mentorship, a learner community and career help.
Yes. You get lifetime access to live sessions, recordings, resources and the LMS.
Yes. You keep lifetime access to the live sessions, the recordings and resources, and the learning management system (LMS), so you can revisit any topic long after you finish.
Yes. Full lab access, so you practise on real tools.
Yes. You get full lab access for hands-on learning, so you practise on real tools rather than only watching slides. About 80–85% of the program is hands-on: labs, assignments and projects.
Yes. Agentic AI is a full phase, taught hands-on with LangChain, LangGraph, CrewAI, Phidata and Autogen.
Yes. Agentic AI is a full phase of the programme, not a single bonus module. It is taught hands-on with LangChain, LangGraph, CrewAI, Phidata and Autogen, building autonomous agents and multi-agent systems that plan, call tools and coordinate with one another.
That work sits on top of retrieval-augmented generation (RAG) with vector databases (FAISS, Pinecone, Weaviate and Milvus), so agents answer from real data rather than model memory, and finishes with deployment and monitoring under MLOps and LLMOps. The capstone is an enterprise-grade RAG chatbot and a multi-agent system built with LangGraph and CrewAI.
Three phases: foundations, then NLP and generative AI, then LLMs and agentic AI.
Python, PyTorch, Hugging Face, LangChain, LangGraph, CrewAI, vector databases, Docker and Kubernetes, among others.
80–85% hands-on, 15–20% theory.
80–85% hands-on (labs, assignments, projects) and 15–20% theory (concepts, maths, foundations).
Yes, end to end: training, fine-tuning, RAG, deployment, monitoring and scaling.
Yes. You practise end-to-end workflows: training → fine-tuning → RAG → deployment → monitoring → scaling.
So live time goes to the skills in highest demand: transformers, LLMs and agentic AI.
Because companies are investing heavily in LLM automation, copilots and multi-agent systems.
Companies are heavily investing in LLM-based automation, copilots and multi-agent systems, and agentic AI is the next frontier in enterprise AI adoption.
Traditional ML/DL is still covered, but the emphasis is on cutting-edge, high-demand skills.
Yes. They are taught first, as the foundation for generative AI.
Yes. Classical ML/DL powers predictive analytics, recommendation systems, fraud detection and edge AI. We make sure you build a solid foundation before advancing into generative AI.
Yes, two: a joint certificate with Vishlesan i-Hub (IIT Patna) and a Skillfyme certificate of completion.
Yes, two. When you complete the program and its projects, you receive a joint certificate from Vishlesan i-Hub Foundation, the Technology Innovation Hub of IIT Patna, with Skillfyme, and a Skillfyme certificate of completion. Each carries a unique certificate ID.
This is a professional certification programme, not a university MS or MSc in generative AI. It is taught by practising engineers and assessed through real project work rather than academic examination.
Certification is issued jointly with Vishlesan i-Hub, IIT Patna's Technology Innovation Hub. It is not an IIT degree.
Certification is issued jointly with Vishlesan i-Hub, the Technology Innovation Hub at IIT Patna, and covers the whole programme including the generative AI and agentic AI phases. Vishlesan i-Hub is a Section 8 non-profit incorporated in 2020 on the IIT Patna campus at Bihta, working on speech, video and text analytics, which is directly adjacent to what this course teaches.
To be precise about what it is and is not: this is a professional certification programme run with an IIT innovation hub, not an IIT degree, and not an MS or MSc in generative AI.
It is built to show applied, job-ready skills that match AI hiring trends.
Skillfyme's certification is designed to showcase applied, job-ready skills that align with industry hiring trends, especially in generative AI, LLMOps and AI engineering roles.
From ML fraud detection to an enterprise RAG chatbot and a multi-agent system.
ML, NLP, LLM, generative AI and agentic AI engineering roles, up to AI architect and AI product roles.
Mid-level engineers move into AI engineering; seniors into AI architecture, product or consulting.
Yes: resume and LinkedIn branding, mock interviews, portfolio guidance, referrals and career mentorship.
Yes: resume and portfolio review, interview preparation and career mentorship.
Judge any course on live teaching, real projects, the certificate, agentic AI depth and total fee.
Judge any generative AI course in India on five things: whether classes are live or pre-recorded, whether you build real systems or watch demos, who issues the certificate, whether the syllabus reaches agentic AI and deployment rather than stopping at prompt engineering, and the total fee including EMI.
Skillfyme's program runs 4 months in the weekday batch or 6 months in the weekend batch, taught as live instructor-led classes, covering Python and ML foundations, deep learning, transformers, LLMs, RAG and agentic AI with LangGraph and CrewAI. Learners ship an enterprise-grade RAG chatbot and a multi-agent system rather than notebook exercises. Certification is issued jointly with Vishlesan i-Hub, IIT Patna. The programme fee is ₹68,000, currently ₹50,000, payable in twelve monthly instalments of about ₹4,167. Classes run online across India from Bangalore, so learners in Hyderabad, Delhi, Chennai, Pune and Mumbai attend the same live cohort.
Agents should be a real phase you build and deploy, not a bonus demo. Here they are.
Judge any agentic AI course on whether agents are a real phase or a bonus module, which frameworks you actually build in, whether the agents call real tools and real data, and whether you deploy anything. Most courses stop at prompt engineering and a chatbot demo.
Here agentic AI is a full phase: autonomous agents and multi-agent systems built hands-on with LangChain, LangGraph, CrewAI, Phidata and Autogen, that plan, call tools and coordinate with one another. It sits on retrieval-augmented generation with FAISS, Pinecone, Weaviate and Milvus so agents answer from real data, and finishes with deployment and monitoring under MLOps and LLMOps. The capstone is an enterprise-grade RAG chatbot and a multi-agent system built with LangGraph and CrewAI. Certification is joint with Vishlesan i-Hub, IIT Patna, and the fee is ₹68,000, currently ₹50,000.
In 2026 they are the same question: what separates a current syllabus is agents, RAG and deployment.
They are increasingly the same question, because what separates a current syllabus from a 2023 one is agents. Generative AI work moved past prompting: what teams hire for is retrieval over their own data, agents that call tools and take multi-step actions, and the evaluation and deployment discipline to keep any of it reliable.
The 2026 Edition reflects that: the syllabus runs from Python, statistics and ML foundations through deep learning and transformers to LLMs, RAG and agentic AI with LangGraph, CrewAI and Autogen, finishing with MLOps and LLMOps. This one is live instructor-led, 4 months weekday or 6 months weekend, certified jointly with Vishlesan i-Hub at IIT Patna, at ₹50,000 against a programme fee of ₹68,000.
Yes. Fully online, with live instructor-led classes over video, taught from Bangalore.
Yes, this is a fully online generative AI course. Classes are live and instructor-led over video, taught from Bangalore and attended across India, so learners in Hyderabad, Delhi, Chennai, Pune and Mumbai join the same cohort rather than a regional batch. There is no classroom to travel to and no separate city pricing.
Sessions are recorded, so a missed class can be caught up, and mentorship and doubt-clearing run alongside. The weekday batch runs 4 months and the weekend batch 6 months.
Yes. Choose a 4-month weekday or 6-month weekend batch, with recordings if you miss a class.
Yes. This live online agentic AI course is structured for working professionals through a 4-month weekday batch or a 6-month weekend batch, with recordings available when a class is missed. The programme starts with Python, statistics and machine-learning foundations, then moves to LLMs, RAG, LangGraph, CrewAI and multi-agent systems before deployment and monitoring.
Plan time outside live classes for labs, projects and interview preparation, and compare the cohort schedule with your work, travel and on-call commitments before enrolling.
Yes. Completing the program and its projects earns two certificates.
Yes. Learners who complete the programme and its project work receive two certificates: a joint certificate from Vishlesan i-Hub Foundation (TIH of IIT Patna) with Skillfyme, and a Skillfyme certificate of completion.
The certificates recognise completion of the programme and project work. They are not an IIT degree, an MS or MSc, or a substitute for a separate vendor certification exam.
It suits beginners because it teaches the foundations before agents.
A good agentic AI course for beginners teaches the foundations before asking learners to build agents. This programme begins with Python, statistics and machine-learning basics, then introduces LLMs, RAG, tool use and agentic AI frameworks.
Beginners can start from scratch; experienced software engineers can move faster through the foundations and focus on LangGraph, CrewAI, multi-agent systems, deployment and evaluation. Before choosing any course, review the syllabus, project expectations and time commitment to decide whether it fits your starting point.
Check for real agents, RAG, evaluation and deployment, plus live teaching, project review, certificate terms and fee.
Compare agentic AI courses online by checking whether the curriculum teaches more than prompting: learners should build retrieval over real data, tool-using agents, multi-agent workflows, evaluation, guardrails and deployment. Also compare live teaching, mentor feedback, project review, certificate terms, delivery schedule and total fee.
Skillfyme's programme covers Python and ML foundations, LLMs, RAG, LangChain, LangGraph, CrewAI, AutoGen, MLOps and LLMOps in live classes, with an enterprise RAG chatbot and multi-agent system as projects. There is no single best agentic AI course for every learner; choose the option that matches your background and goals.
One that fits your level and teaches RAG, tool calling, orchestration, multi-agent design, testing and deployment.
The best agentic AI course in India for a learner is one that fits the learner's starting level and teaches the practical work employers expect: retrieval-augmented generation, tool calling, LangGraph or comparable orchestration, multi-agent design, testing, safety and deployment. Ask who reviews your projects, whether the certificate is clearly described, how live classes work, and what support is included after class.
Skillfyme delivers this programme live online across India from Bangalore, with a 4-month weekday or 6-month weekend option, professional certification and hands-on projects. Compare the evidence and written terms before deciding.
Yes. No prior ML experience is needed; the foundations are taught in class.
Yes. No prior machine learning experience is required: Python, statistics and ML fundamentals are taught in class, so beginners start from zero while experienced engineers treat them as a refresher. Classes are live and instructor-led, delivered online across India from Bangalore.
The programme runs 6 months in the weekend batch or 4 months in the weekday batch. The fee is ₹68,000, currently ₹50,000, payable in twelve monthly instalments of about ₹4,167, with joint certification from Vishlesan i-Hub, IIT Patna.
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