Build AI Systems,
Get Hired,
Levelup

Master AI Engineering in 10 weeks, with live mentorship from FAANG engineers. Build production ready AI Systems that companies look for, not toy projects that sit in jupyter notebooks.

Download Curriculum

Designed for working professionals & college students | Backed by Y-Combinator

Master the full life cycle of AI Engineers - LLMs, RAG agents deployment, MLOps by building realworld AI Projects & Products not jupyter notebook projects

1380+
Learners Placed
41 LPA
Highest CTC
22 LPA
AVG CTC
110%
AVG Hike
Next batch starts december end - limited 50 seats
Learners now work at:
Netflix
Google
Amazon
Microsoft
Uber
Adobe
LinkedIn
PayPal
Netflix
Google
Amazon
Microsoft
Uber
Adobe
LinkedIn
PayPal
Netflix
Google
Amazon
Microsoft
Uber
Adobe
LinkedIn
PayPal
Netflix
Google
Amazon
Microsoft
Uber
Adobe
LinkedIn
PayPal
Facebook
Atlassian
Qualcomm
IBM
Walmart
Dream11
Groww
Facebook
Atlassian
Qualcomm
IBM
Walmart
Dream11
Groww
Facebook
Atlassian
Qualcomm
IBM
Walmart
Dream11
Groww
Facebook
Atlassian
Qualcomm
IBM
Walmart
Dream11
Groww
GLOBAL RANK #1

History Made at NeurIPS.

The first Indian team to win the Meta Hacker Cup (AI Track).

While others watched the livestream, our students were on stage presenting their Generative AI research to the world's top scientists.

1st Indian Team
Vancouver, Canada
World Rank #1
Meta Hackercup Winners at NeurIPS

Meet your Mentors

Manas Kumar Verma

Founder & CEO

Yellow @ CodeforcesIIIT Hyderabad
Directi
AlphaGrep

Envisioned AlgoUniversity and brought some of most talented folks under one roof.

LinkedIn
Manas Kumar Verma

Swapnil Daga

Co-Founder & COO

6* on CodeChefIIIT Hyderabad
Google
Apple

3 years as Interview coach for Tech. The man behind Teaching Infrastructure.

LinkedIn
Swapnil Daga

Nipun Goyal

AI Engineer at Microsoft R&D

IIITH-AlumniAI/ML A* Publications
Microsoft

Guided 1000+ students in Software & AI. Experienced AI Engineer at Microsoft R&D.

LinkedIn
Nipun Goyal

Nikita Agarwal

Head of AI at AlgoUniversity

Meta HackerCup WinnerIIITH CS
Microsoft
Indeed

World #1 at Facebook AI HackerCup. Ex-Microsoft AI Researcher. Creator of breakthrough code-gen & reasoning AI.

LinkedIn
Nikita Agarwal

The AI Gold Rush is here

(why most AI Engineers Fail)

You're stuck maintaining models others built

You memorise pandas and matplotlib for 8 weeks, then forget it

Your resume stays "learning AI" for years

Companies see you as a junior, not an engineer ready for 20-40 LPA roles

You watch chatbots get built while you struggle with jupyter notebook

Your Competition learned RAG, Fine-tuning, and LLMs while you're still on basics

Jupyter Notebook Hell

Where most AI learners get stuck

Production Ready
← The Goal

Error: Module not found

AI Engineering,
The Right Way vs. The Wrong Way

See the difference between traditional courses and the Elevate approach

Without Elevate

The traditional, outdated approach

8 weeks learning pandas & matplotlib basics

Jupyter notebooks that never reach production

"AI/ML" on your resume

No clue how Netflix predicts series completion

Confusion about transformers, fine-tuning, agents

No placement support or referrals

Months to deploy your first model

₹0-5 LPA roles after course

With Elevate

The modern, production-focused approach

Week 1: Building real ML models that work

Docker, FastAPI, MLOps—ship like real engineers

Specific projects: "RAG-based legal QA, 94% BERT accuracy, deployed to AWS"

Live problem: Solve it, then understand why—learning through experience

Master 2025 technologies: LLMs, LoRA, QLoRA, Function Calling, MCP

Direct referrals to Amazon, Google, ByteDance from alumni network

Your first AI system deployed in Week 4

₹20-40 LPA offers from product companies

What You'll Actually Master

Weeks 1-2

Math & Python Foundations

NumPy, Pandas, Classical ML • Logistic Regression • Decision Trees • Model Evaluation

PROJECT
Netflix-style Recommendation Engine
PythonPython
NumPyNumPy
PandasPandas
Scikit-LearnScikit-Learn
Weeks 3-4

Neural Networks & Vision

CNNs, Vision, Audio • Transfer Learning • Image Recognition • Audio Classification

PROJECTS
Traffic Sign Detection • Music Genre Classification
PyTorchPyTorch
TensorFlowTensorFlow
OpenCVOpenCV
Weeks 4-6

Transformers & NLP

BERT, GPT, Attention • Fine-tuning Pre-trained Models • Hugging Face

PROJECTS
Toxic Comment Detector • Support Ticket Classifier
Hugging FaceHugging Face
Transformers
BERT
⚡ CUTTING EDGE
Weeks 7-9

LLMs, RAG & AI Agents

Fine-Tuning (LoRA/QLoRA) • RAG Pipelines • AI Agents • MCP Protocol

REAL-WORLD PROJECTS
Hospital AI Assistant & Legal Document Search
Building the technologies companies hire for in 2025
LangChainLangChain
LlamaIndex
OpenAIOpenAI
PineconePinecone
Chroma
Weeks 9-10

Deployment & MLOps

Docker, Cloud, Monitoring • FastAPI • CI/CD • Data Drift Detection

FOCUS
Deploying to Cloud & Monitoring Production Systems
DockerDocker
FastAPIFastAPI
WandB
AWSAWS

Why Elevate is Different

Why we started AlgoUniversity
Swapnil Daga
Ex-Apple, Google London • IIIT Hyderabad Alumni

1. Learn AI from 2025, Not 2020

No outdated pandas tutorials. Learn Transformers, RAG, LLM Agents, and Fine-tuning - the tech stack companies are hiring for right now.

2. Fail Forward, Learn Faster

Build broken systems, fix them, understand why. This is how senior engineers learned - through real experience, not perfect tutorials.

3. Ship, Don't Just Code

Every project goes live. Learn Docker, FastAPI, AWS, and MLOps - the production skills that separate engineers from students.

4. Portfolio That Gets Interviews

Not another MNIST classifier. Build: RAG systems for real documents, Fine-tuned models for business use, Production APIs that scale.

5. Apprenticeship, Not Lectures

Live mentorship from FAANG engineers who built production AI systems. Code reviews, architecture decisions, career guidance.

Everything You Need to Become an AI Engineer

Real Curriculum
Live Classes
Fail Forward
Deployed Projects
1:1 Mentorship
AI Engineer Checklist
Portfolio Building
Dedicated Placement Cell
Job-Ready Resume
Lifetime Access

Investment in Your ₹20-40 LPA Career

Choose the path that fits your commitment level.

14-Day Trial

Non-Refundable
₹5,000
One-time
  • Live Classes
  • Production-Ready Portfolio
  • 1:1 Mentorship
  • Placement Support
  • Lifetime Access

Monthly EMI

For 3 Months
₹15,000
/ month
  • 10 Weeks Intensive Training
  • Live Classes with FAANG Mentors
  • Production-Ready Portfolio
  • 1:1 Mentorship & Placement
  • Lifetime Access & Community
SAVE 50%

Pay Upfront

RECOMMENDED
₹60,000
₹30,000
One-time payment. Best Value.
  • Everything in EMI Plan
  • Priority Support
  • Maximum Savings (₹15k saved vs EMI)

FAQ

This program is designed for working professionals and college students who want to transition into AI engineering roles. Whether you have a basic programming background or are looking to upskill from traditional software roles, this course will take you from fundamentals to production-ready AI systems.

The Question Isn't Whether to Learn AI

Do you want to learn it the old way? (Confusion, notebooks, never hired)
Or the Elevate way? (Real systems, shipped to production, getting ₹20-40 LPA offers)

14-Day Trial for just ₹ 5,000 is available