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GenAI With ML & Agentic AI Masters Course

A live, mentor-led generative AI course in India covering LLMs, RAG and agentic AI — for developers and data professionals shipping real-world AI systems at scale.

01
100% Live Instructor-Led Classes
02
4 or 6 Months (Weekday / Weekend)
03
20+ Real-World GenAI Case Studies
04
10+ Industry Tools Covered
GenAI with ML and Agentic AI Masters Course by Skillfyme
4/6 Months100% Live Sessions
60%Avg. Salary Hike
100%Placement Assistance
60 LPASuper-Dream Job CTC

GenAI With Machine Learning Master Program.
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.

01Program Features
01
Module

Your Learning, Your Pace

Every module — Python, ML, Deep Learning, NLP, GenAI, LLMs, Agentic AI, LLMOps — includes guided mentorship, with up to 6 extra months of handholding.

02
Module

Showcase Work that Gets You Hired

Ship LLM apps, GenAI agents, MLOps pipelines, and ML projects on GitHub, Kaggle, and LinkedIn. Build a portfolio that stands out.

03
Module

Capstone Project

Bring a real business problem from your office or dream company and solve it end-to-end with expert project guides.

04
Module

End-to-End Career Acceleration

Crack top roles in AI/ML, MLOps, and GenAI with resume building, mock interviews, system design prep, and soft skills training.

02Talk to an Expert
Request a Callback

Still Not Sure?

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Within 30 minsNo spam, everFree guidance
Response within 30 mins

Side-by-side with the alternatives.
No spin, just facts.

Every claim below is grounded in what we actually deliver — and what most competitors don't.

01
Category

Breadth & Depth of Curriculum

Skillfyme · Our Program

Full stack coverage: Python, ML, DL, NLP, GenAI, LLMs, Agentic AI & LLMOps

Other Courses

Only basics or niche topics; missing GenAI, LLMs & Agentic AI

02
Category

Beginners & Professionals

Skillfyme · Our Program

Structured Python & Statistics bootcamp for beginners + LLMOps & Agentic AI for advanced professionals

Other Courses

No structured beginner support; lacks advanced modules

03
Category

GenAI & LLM Infusion

Skillfyme · Our Program

In-depth: Transformers, Prompt Engineering, RAG, Fine-tuning, LLM, Caching & Routing, GenAIAppDeployment

Other Courses

Only surface-level GenAI; no real-world deployment

04
Category

Specialisation in Future Skills

Skillfyme · Our Program

Dedicated tracks in MLOps & LLMOps + hands-on with LangChain, LangGraph, CrewAI, AutoGen

Other Courses

Limited tracks; no depth in LLMOps or enterprise AI

05
Category

Industry-Grade Projects

Skillfyme · Our Program

50+ hands-on projects across ML, NLP, GenAI, LLM Apps, Multi-Agent AI with real datasets

Other Courses

Few toy projects; limited industry alignment

06
Category

Capstone Projects

Skillfyme · Our Program

Solve live business problems from your company or partner enterprises (AI copilots, scalable LLM apps)

Other Courses

Fixed, academic-style projects with no real impact

07
Category

Alumni Network & Legacy

Skillfyme · Our Program

Global community of AI/ML professionals across FAANG, Fortune 500, startups

Other Courses

Smaller, platform-only networks; limited industry exposure

08
Category

Hands-on Learning First

Skillfyme · Our Program

80-85% hands-on learning with real pipelines, multi-agent systems & enterprise deployments

Other Courses

Mostly theory or Jupyter demos; limited practical focus

09
Category

Faculty & Mentorship

Skillfyme · Our Program

Learn from IIT faculty + experts from Walmart, Harman, Meta, Microsoft, AI startups, with 1:1 project guidance

Other Courses

Mostly platform tutors; minimal industry experts

Trusted by 5,000+ learners
Last updated · Apr 2026

The Future of Generative AI and ML.
Transforming industries worldwide.

Transforming industries and creating new opportunities worldwide — the numbers behind the GenAI revolution.

01Market Opportunity

97 Million

New Opportunities by 2025

World Economic Forum

$1.3 Trillion

GenAI Market in 10 Years

Bloomberg

$170,062

Average Annual Salary

Glassdoor
02Industry Trends
02Batch Option

GenAI is at the cutting edge of tech innovation, driving transformative trends across industries. Advanced language models like GPT-4 enhance natural language generation, creating more natural and coherent content.

24.4%

Projected CAGR (2023–2030)

Statista

$667.9 Billion

Market Size by 2030

Fortune Business

$4.4 Trillion

Annual Value to Global Economy

McKinsey
Sources: Bloomberg · McKinsey · Statista · Fortune Business

Transform your career with 12-month EMI.
Zero cost. Full access. Real outcomes.

No hidden charges, no interest — just a smarter way to invest in your career without upfront financial stress.

Hover or tap a row to explore
01 / 03
Financing · 01 / 03

Zero extra cost. Zero compromise.

  • 01
    Starting at just INR 4,167/mo
  • 02
    No processing fee, no hidden charges
  • 03
    EMI through credit/debit cards
Key Figure
INR 4,167*/ month EMI
A
R
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+5K

Ready to start at INR 4,167/mo?

Join 5,000+ professionals already enrolled. Seats close 11th May 2026.

What can I become?
Roles, salaries, and the companies waiting.

Explore high-demand GenAI roles and their annual compensation in India — from entry-level to principal.

Select a role to explore
01 / 06
Salary Insights · 01

ML Engineer

Annual CTC in India · Lakhs per annum

01Minimum
₹7L
02Average
₹19L
03Maximum
₹30L+
Salary Range
₹7L→ ₹30L+
02Salary Comparison
MinAvgMax
Top Companies Hiring
03Hiring Partners · GenAI Roles
Top companies hiring GenAI engineers
Updated · 2026 Cohort Hiring Data

Generative AI course curriculum, module by module.
From Python to production-grade LLMOps.

Seven battle-tested modules covering the full GenAI and ML stack — with live classes, self-paced tracks, and real case studies.

Select a module to explore
01 / 07

Full Generative AI and Agentic AI course syllabus

The Generative AI with ML Masters Program curriculum spans seven modules, from Python and statistics foundations through machine learning, deep learning and natural language processing to generative AI, large language models, retrieval-augmented generation, agentic AI and MLOps.

Module 1 · Python & Statistics Essentials

  • Class 1: Python Programming Fundamentals
  • Class 2: Data Structures, Control Flow, and File Operations
  • Class 3A: Functions For Python
  • Class 3B: Object-Oriented Programming For Python
  • Class 3C: Exception Handling For Python
  • Class 4A: Data Analysis
  • Class 4B: Data Visualization
  • Class 5: Case Studies

Module 2 · Applied Machine Learning

  • Class 1: Data Pre-processing and Feature Engineering
  • Class 2: Supervised Learning – Regression
  • Class 3: Supervised Learning – Classification
  • Class 4: Unsupervised Learning
  • Class 5: Clustering Algorithms & Dimensionality Reduction
  • Class 6: Ensemble Learning
  • Self-paced: Time Series Analysis & Reinforcement Learning
  • Self-paced: Recommender Systems
  • Note: Why are these topics considered self-paced and less important now that LLMs are emerging?

Module 3 · Deep Learning & Neural Network Architectures

  • Class 1: Neural Networks & Deep Learning Foundations
  • Class 2: Tuning & Optimizing Deep Neural Networks
  • Class 3: Convolutional Neural Networks – I
  • Class 4: Convolutional Neural Networks – II
  • Self-paced: Recurrent Neural Networks
  • Self-paced: Long Short-Term Memory (LSTM) Networks

Module 4 · Natural Language Processing (NLP)

  • Class 1: Introduction to NLP
  • Class 2: Text Processing & Feature Engineering
  • Class 3: Named Entity Recognition (NER) & Parsing
  • Class 4: Tokenization & Text Encoding
  • Class 5: Sentiment Analysis Essentials
  • Class 6: Advanced Sentiment Analysis
  • Class 7: Neural Language Models
  • Class 8: Machine Translation
  • Class 9: Speech & Multimodal NLP

Module 5 · Generative AI Essentials & Prompt Engineering

  • Class 1: Introduction to Generative AI
  • Class 2: Autoencoders & GANs
  • Class 3: Transformers & Attention Mechanism
  • Class 4: Small Language Models
  • Class 5: Prompt Engineering Essentials
  • Class 6: Advanced Prompting Strategies

Module 6 · LLM-based Application Development

  • Class 1: Introduction to Large Language Models (LLMs)
  • Class 2: Open Source LLMs & Model Variants
  • Class 3: Vector Databases
  • Class 4: Retrieval-Augmented Generation (RAG) Techniques
  • Class 5: LLM Frameworks & Development
  • Class 6: LLM Application Development
  • Class 7: Fine-tuning & Model Adaptation
  • Class 8: Generative AI Application Deployment
  • Class 9: LLM Caching & Routing Techniques
  • Class 10: Evaluation, Metrics, and Responsible AI for LLMs

Module 7 · Agentic AI & LLMOps for Scalable AI Systems

  • Class 1: Agentic AI Essentials
  • Class 2: Architectures & Design Patterns
  • Class 3: Working with LangChain & LCEL
  • Class 4: Building AI Agents with LangGraph
  • Class 5: Implementing Agentic RAG
  • Class 6: Developing AI Agents with Phidata
  • Class 7: Multi-Agent Systems with LangGraph & CrewAI
  • Class 8: Advanced Agent Development with Autogen
  • Class 9: AI Agent Observability & AgentOps
  • Class 10: RAG Architecture with Vector DBs
  • Class 11: Continuous Integration, Deployment & Scaling LLMs

Agentic AI & GenAI Frameworks
The exact stack you'll
ship with.

Every tool chosen for real-world relevance — the same stack that powers production AI at FAANG-grade companies.

01Tech Stack · GenAI With ML Masters
Tools, Languages & Frameworks
Industry-standard · Production-grade

20+ Skills Covered
From fundamentals to
frontier.

Every competency mapped to what top companies actually test for in AI/ML and MLOps interviews.

02Skill Map · 21 Competencies
Python Programming01
Agentic AI Systems02
Model Performance Monitoring03
Retraining Automation04
Model Versioning05
Multi-cloud Integration06
Metrics Monitoring07
MLOps Pipeline Design08
RAG Architecture09
LLM Fine-tuning10
Cost Optimization11
Workflow Orchestration12
Model Registry13
Vector Retrieval14
LLM Lifecycle Management15
Model Deployment16
Advanced Deployments17
CI/CD Automation18
Hyperparameter Tuning19
Feature Engineering20
MLFlow21
All skills verified by hiring partners

Build What Actually Matters
Real AI engineering. Real production environments.

Hands-on AI engineering through projects designed to mirror real production environments — from regression to LLMOps.

Select difficulty level
01 / 03
Foundation·

Build core ML intuition through hands-on implementation

01
Regression Modeling

Retail Sales Prediction

Develop a predictive model that estimates future retail sales using historical data with regression techniques and feature engineering.

Workflow

Data Preprocessing→Feature Engineering→Regression Models→Model Evaluation

Stack

PythonPandasScikit-learnMatplotlib
02
NLP & Sentiment Analysis

Movie Review Classifier

Create an NLP model to classify movie reviews as positive or negative using TF-IDF vectorization and classical ML classifiers.

Workflow

Tokenization→TF-IDF Vectorization→Logistic Regression→SVM Classifier

Stack

PythonNLTK / SpaCyScikit-learn
03
Neural Networks & MNIST

Handwritten Digit Recognition

Train a neural network to recognize handwritten digits from the MNIST dataset with high accuracy and visual prediction output.

Workflow

Dataset Loading→Neural Network Training→Accuracy Evaluation→Visualize Predictions

Stack

PythonTensorFlow / KerasMatplotlib
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Ready to start building?

Get expert guidance and mentorship on every project from FAANG-grade engineers.

Learning Objectives
What you will learn in GenAI with ML.

Nine structured objectives from Python fundamentals to production-grade LLMOps — hover each node to explore.

01Learning Roadmap · Hover to Explore
Python & Stats
01
02
Machine Learning
Deep Learning
03
04
NLP
GenAI
05
06
LLMs
App Dev
07
08
Agentic AI
LLMOps
09
Hover a node to reveal the objective
Hover any node to explore
02Grow With Skillfyme

Grow With Skillfyme.
Five phases. One transformation.

Hover each phase pillar to explore what you learn, build, and achieve — from Python foundations to a placed career in AI.

Phase-by-phase career progression
03Our Alumni Works At
03Alumni Network

Our Alumni Works At

Alumni companies
Direct hiring partnerships · 2026 Cohort

Program Fees
Flexible. Transparent. No surprises.

No-cost EMI, banking partnerships, and a transparent pricing model designed so money never blocks your growth.

01Program Fee
Special Pricing

Banking Partners

Banking Partners

& many more banks

0% interest · No hidden feesEMI Available →
02Flexible Payment Options

Pay in installments, as low as

INR 4,167/month(for 12 months)
i

No-Cost EMI available on credit and debit cards — 0% interest rate, no hidden costs, no processing fee.

0%Interest Rate
12Max Months
60sApproval Time

Batch Starts

23rd Aug 2026

200+Banking Partners
5K+Students Enrolled
100%Placement Assistance

What does day-to-day look like?
Real KRAs for every
GenAI role

Explore the actual daily responsibilities of every AI role you could land — built from what hiring managers actually test for.

Select a role to explore KRAs
01 / 09
ML · 01 / 09

Machine Learning Engineer

  • 01
    Build, train, and evaluate ML models using real-world datasets.
  • 02
    Deploy ML pipelines on cloud (AWS, Azure, GCP) for scalability.
  • 03
    Automate feature engineering and preprocessing workflows.
  • 04
    Monitor model performance and retrain when accuracy drops.
  • 05
    Collaborate with data engineers and software teams to integrate ML into products.
AITechInnovationML
IIT Patna Campus
Vishlesan i-HubVishlesan i-Hub · IIT Patna

About Vishlesan i-Hub IIT, Patna

Vishlesan i-Hub at IIT Patna is part of a national mission, advancing AI in speech, video, and text analytics for sectors like health, education, and security. As an NIC (National Innovation Centre) under DST, it represents India's commitment to next-generation AI research and commercialization.

2008Established
Top 10NIT Ranking
500+Research Papers
50+Industry Partners
01

Premier Technical Institute

IIT Patna is one of India's top engineering institutes, known for its cutting-edge research and strong academic foundation.

02

Strong Industry & Research Ecosystem

With active collaborations, incubators, and innovation hubs, IIT Patna bridges academia and industry to drive real-world impact.

03

National AI Mission Hub

Vishlesan i-Hub at IIT Patna is part of a national mission, advancing AI in speech, video, and text analytics for health, education, and security.

04

Joint Certification Authority

Certificates jointly issued by Skillfyme and Vishlesan i-Hub carry the credibility of an IIT institution, recognized across industry and academia.

Vishlesan i-Hub IIT Patna

Jointly Issued By

Skillfyme × Vishlesan i-Hub, IIT Patna

Joint Certification Program · 2026
Joint Certification

Become a Certified GenAI Professional.
Validate your expertise. Accelerate your career.

Industry-recognized certification that validates your skills and commitment to the GenAI and ML field.

02Why This Certification
01

Recognized Achievement

Our certification is a testament to your commitment and expertise. Completing the program provides you with an industry-recognized certificate and equips you with skills that hiring managers actively look for.

02

Industry-Relevant Curriculum

Developed by subject matter experts covering crucial topics and the latest industry trends — ensuring you stay ahead in the GenAI and ML field. Each module builds a strong foundation while fostering critical thinking.

03

Practical Skills Focus

We emphasize hands-on projects and real-world applications. This approach deepens your understanding and prepares you for the actual challenges of production AI roles in top companies.

Globally Valid
03Your Certificate
CertGenAI With Machine Learning · Masters Certification

Become a Certified GenAI With Machine Learning Professional

Vishlesan i-Hub IIT PatnaJointly Issued · Vishlesan i-Hub, IIT Patna
GenAI With ML Masters Certification
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Start your journey

Join 5,000+ certified GenAI professionals

GenAI With ML Masters Certification

What our learners have to say.
Real stories. Real outcomes.

From Google reviews to video testimonials — verified feedback from engineers who've been through the program.

Select review type
01
Google Review

Practical and Easy to Follow

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!

VP
Vishnudath PS
Read on Google
02
Google Review

Easy and Interesting Learning

Really enjoyed the Gen AI course! The trainer was supportive and the practical sessions made learning easy and interesting.

AR
Aravind Radhakrishnan
Read on Google
03
Google Review

Well-Structured and Informative

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.

PT
Pranav TP
Read on Google
Google
4.8
QQuora
4.6
Trustpilot
4.4
N
K
S
+5K

Join 5,000+ engineers who transformed their careers.

All reviews are verified — from real learners who completed the GenAI With ML Masters Program.

Generative AI Masters Program Fees and EMI Options

The programme fee is ₹50,000, reduced from a list price of ₹68,000. It can be paid in twelve monthly instalments of about ₹4,167 under the EMI option. Enrolment can be cancelled within three days of purchase under the refund policy.

That is ₹18,000 off the list price for a live, mentor-led course covering machine learning foundations, large language models, retrieval-augmented generation, agentic AI and MLOps, with hands-on projects and placement support.

Frequently Asked Questions
Everything you need to know before you apply.

Find answers to common questions about training, curriculum, career outcomes, and certification.

FAQ · 01 / 04 · Training
About Training
7 Questions
Click any question to expand