Master AI/ML at Just ₹5,000

Cutting-edge AI curriculum. Real career transformation. Affordable pricing.

Production-ready AI projects
Learn from industry professionals
100% placement assistance
Get dual certificate
AI ML Illustration

Why Become an AI/ML Engineer?

Fastest growing field with highest earning potential

💰

Highest Paid Tech Role

40% more salary than software engineers. Most valuable tech skill.

💼

Ample Job Opportunities

The demand for AI/ML professionals is booming — over 22 million openings expected globally by 2026.

🚀

Future of Tech

AI will define the next decade. Get ahead of the curve.

Why Choose Greycampus?

Affordable education meets world-class quality

💰

Most Affordable

High-quality education at ₹5,000

👨‍🏫

Expert Instructors

10+ years industry experience. Real-world projects taught

🎯

100% Job Focused

Resume building, interview prep, placement support

🕐

Live Online Classes:

Live weekend classes with continuous support, recordings, and up-to-date materials.

🧠

Project-Based Learning

Gain hands-on experience through real-world projects that help you build a strong, job-ready portfolio.

Career Services

Mock Interviews, Access to job portal, Interview Prep

Careers After Bootcamp

Multiple paths to success with competitive salaries

Machine Learning Engineer

Google, Meta, Amazon

Build and train ML models
Deploy to production
Optimize performance
PythonTensorFlowDeep LearningMLOps

AI Engineer

OpenAI, DeepMind, Anthropic

Design AI systems
Implement LLMs
Build AI applications
PythonPyTorchLLMsAPIs

Gen AI Specialist

Microsoft, NVIDIA, Amazon (AWS), OpenAI

Fine-tune Generative Models
Optimize Output via Prompting
Deploy Content AI
Ensure Ethical AI
PythonDeep Learning (PyTorch/TensorFlow)LLMs/TransformersPrompt Engineering

NLP Engineer

LinkedIn, Salesforce, Microsoft

Build language models
Text processing systems
Chatbot development
NLPTransformersBERTGPT

ML Operations Engineer

Netflix, Uber, Airbnb

ML pipeline deployment
Model monitoring
Infrastructure scaling
DockerKubernetesAWSMLOps

AI Research Associate

Google Research, Meta AI

Research new AI methods
Publish papers
Prototype solutions
ResearchPyTorchStatisticsPublications

Autonomous Systems Engineer

Tesla, Waymo, Cruise

Self-driving algorithms
Robotics systems
Sensor fusion
RoboticsSLAMControl SystemsC++

AI Product Manager

Stripe, Figma, Canva

AI product strategy
Feature prioritization
Cross-team coordination
Product ManagementAI StrategyLeadershipBusiness

Job Drives

Get exclusive access to Hiring Sprints designed for AI and GenAI aspirants. These virtual events connect you directly with Hiring Managers and AI leads from top companies.

Discover job openings, understand their expectations, ask questions, and make a lasting impression — before the interview even begins.

Every Sprint is a career breakthrough waiting to happen.

AI Developer

AI Developer

Pune
Full-time
Experience
Mern
Python
LLM
AI Engineer

AI Engineer

Hyderabad
Full-time
Experinced
Python
ML
DL
NLP
AI Engineer

AI Engineer

Chennai
Full-time
Experinced
Python
LLM
AI/ML Engineer

AI/ML Engineer

Pune
Full-time
Fresher
Python
PyTorch
ML
DL
NLP
AI Engineer Intern

AI Engineer Intern

Noida
Full-time
Fresher
Python
Git
LangChain
Ollama
Machine Learning Engineer

Machine Learning Engineer

Chennai
Full-time
Experinced
Python
SQL
ML
AI
Lead AI/ML Engineer

Lead AI/ML Engineer

Calicut, Kochi, Trivandrum
Full-time
Experinced
Python
TensorFlow
PyTorch
AI/ML Engineer

AI/ML Engineer

Calicut, Kochi, Trivandrum
Full-time
Fresher
ML
DL
Python
AI/ML Engineer

AI/ML Engineer

Hyderabad
Full-time
Experinced
Python
Model Evaluation
PyTorch

400+ Hiring Associations

logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo

What You'll Learn

3 months of comprehensive, industry-aligned curriculum

Python for AI Applications – Part I

2 weeksDifficulty: ⭐☆☆☆☆ (1/5)

Topics Covered

  • Advanced Python concepts
  • Functional programming
  • Performance optimization
  • Real-world Python best practices

Key Outcomes

  • Master advanced Python
  • Write optimized code
  • Real-world problem solving

Tools & Technologies

Python 3.9+libraries

Program Outcomes

Real skills. Real impact. Real career transformation.

🧠

Build Neural Networks

Design and train deep learning models from scratch

🗣️

Process Language

Work with LLMs, transformers, and NLP applications

🤖

Create AI Agents

Develop autonomous AI systems and agents

🔍

Feature Engineering

Extract powerful features from raw data

📈

Model Optimization

Tune, evaluate, and improve model performance

☁️

Deploy Models

Deploy AI models to production at scale

🔌

API Integration

Build APIs and integrate LLMs into applications

📊

RAG Systems

Build retrieval-augmented generation systems

🚀

Production Systems

Design and maintain production ML systems

💼

Lead AI Projects

Drive AI initiatives and innovation

Build Production AI Systems

Apply your skills to projects used by real companies

AI-Powered Market Competitor Scanner

Build CNN model for image classification. Preprocess data, train, evaluate, and deploy model. Create web interface for predictions. Learn production best practices.

Tech Stack

TensorFlowKerasPythonFlaskDocker

Key Learnings

  • CNN architecture design
  • Model training and optimization
  • Production deployment

Outcome

Deployed model, web app, GitHub repo, 94%+ accuracy

Smart Prompt Library Builder

Build RAG system integrating OpenAI APIs. Implement semantic search with vector databases. Deploy intelligent chatbot. Learn LLM integration patterns.

Tech Stack

LangChainOpenAIFastAPIPineconeVector DB

Key Learnings

  • RAG architecture
  • LLM integration
  • Vector search implementation

Outcome

Production chatbot, documentation, API, Postman collection

AI Content Calendar Generator

Create autonomous AI agent for data analysis. Implement self-improving system with feedback loops. Deploy as production service with monitoring.

Tech Stack

PythonAI agentsCloud platformsMLOps

Key Learnings

  • Agent design patterns
  • Self-optimization systems
  • Production MLOps

Outcome

Production AI agent, monitoring setup, CI/CD pipeline

How Do I Enroll?

Simple 5-step process to start your data science journey

1
📝

Sign Up

Fill out the quick registration form. Takes less than a minute.

2
🎓

Enroll

Pay the fees, and get access to the learning portal and class schedule.

3
🚀

Start Learning!

Join your live online classes, build portfolio projects, and get career-ready.

Invest in Your Future at Affordable Prices

The most cost-effective bootcamp without compromising quality

AI/ML Bootcamp

3 months of cutting-edge curriculum
10 modules covering all aspects of AI/ML
3 capstone projects with real complexity
Mentorship from industry experts
Production deployment training
Resume and portfolio optimization
Interview preparation (10 sessions)
Job Assistance
Certificate of completion
₹15,000+ GST
₹5,000+ GST

Upcoming Cohorts

Open
Start: 29 November 2025
3 Months
Available: 15/20
Limited
Start: 27 December, 2025
3 Months
Available: 16/30

Get Dual Certification

Showcase your certificate as a symbol of your AI expertise.

  • Official and Verified icon

    Official and Verified

    Get certificate with verifiable credentials

  • Easily Sharable icon

    Easily Sharable

    Enrich your LinkedIn profile by sharing the certificates with just a click

  • Enhances Credibility icon

    Enhances Credibility

    Grab the winning advantage in the job market with credible certificates

GreyCampus Data Science Certificate
GreyCampus Data Science Certificate of Internship

Your AI/ML Career Starts Here

Learn to design, train, and deploy intelligent systems with real-world applications.

🔬

Cutting-edge AI curriculum at affordable prices.

👨‍💻

Learn from engineers at Google, Meta, and Amazon.

🏆

Build production-grade AI projects.

💰

90%+ placement assistance with ₹12L–18L packages.

♾️

Lifetime mentorship and career support.

Success Stories

Real students, real transformations, real careers

This bootcamp gave me production-ready skills. Within 2 months, I had 3 job offers. Chose Google. Best investment ever!

Rohan Sharma

ML Engineer at Google

₹8L → ₹16L (+100%)

Frequently Asked Questions

Everything you need to know about the AI/ML bootcamp

The bootcamp is 3 months long, with 10 comprehensive modules covering all aspects of data science from fundamentals to advanced topics.

We recommend 15-20 hours per week for optimal learning. The program is designed to be flexible for working professionals and students.

We provide 100% Placement assistance to all students who complete the Bootcamp, meeting the expected performance standards and continue to offer this assistance up until two years following the bootcamp's start date.

We offer 3-months LIVE online classes. All live sessions are recorded and available for replay. You can access them anytime during the bootcamp and even after bootcamp completion upto 2 years.

As per our refund policy, fee amounts once paid are non-refundable.