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New batches — enroll nowCodeLadder LabsPlacement Support

AI & Machine Learning — From Data to Deployed Models

Master Python, Machine Learning, and Data Science. Build predictive models and intelligent applications.

Beginner → Advanced/6 weeks to 6 months/Online live & offline campus/Tracks from ₹15,000
See tracks & fees
Who it's for

Built for people like you.

01

Math/Statistics lovers wanting tech careers

02

Python developers upgrading to Data Science

03

Students targeting AI and data roles

Choose your track

Your learning path.

Every course is a step-by-step ladder — start small, build confidence, and upgrade as your skills grow.

AI & Deep Learning

Master Deep Tech. Lead AI Projects.

“I am an AI Engineer capable of building Deep Learning and GenAI solutions.”

Total fees

₹95,000

Early bird: ₹70,000

EMI available

Duration

6 months

Intensity

Intensive

Projects

2 live

Certificate

Verified

Learn your wayOnline live — sessions + recordingsOffline campus — dedicated lab access

Placement assistance included

AI mock interviews, alumni connections, and resume preparation. Plus real product experience with CodeLadder Labs — internal tools, code reviews, and a working-professional resume.

  • GPU labs access included (limited).
  • Certification upon completion.
Skills

What you'll learn

Python for Data Science (NumPy, Pandas)
Data Visualization (Matplotlib, Seaborn)
Machine Learning Algorithms (Regression, Classification)
Deep Learning Basics (Neural Networks)
Natural Language Processing (NLP) Intro
Model Deployment (Flask/Streamlit)
SQL for Data Analysis
AI-assisted development (Cursor/Copilot/Claude Code): prompt, generate & critically review AI code
Curriculum

AI & Deep Learning — module by module

Select any module to see exactly what it covers.

  1. Phase 1

    Deep Learning Foundations

    +
    • Perceptrons & Backpropagation
    • PyTorch (primary framework)
    • Keras Overview
  2. Phase 2

    Computer Vision

    +
  3. Phase 3

    NLP & Generative AI

    +
  4. Phase 4

    MLOps & Deployment

    +
  5. Phase 5

    Applied GenAI

    +
  6. Phase 6

    Capstone & Career Prep

    +
Portfolio

Projects you'll build

01

Image Classifier (Transfer Learning)

Fine-tune a vision model on a custom dataset.

PyTorchTransfer Learning
02

Chatbot with LLM

Simple RAG application.

LangChainOpenAI API
03

Deployed ML Service

Package a model behind FastAPI + Docker with experiment tracking.

FastAPIDockerMLflow
Career

Placement support

Data Science Portfolio Review

Kaggle Profile Building

Technical Mock Interviews

Placement support means preparation and opportunities, not a guaranteed job. Focus: data analyst & junior data-science roles.

Getting started

How to enroll

  1. 1

    Apply

    Submit interest.

  2. 2

    Math Check

    Basic linear algebra/stats review.

  3. 3

    Start

    Launch your Jupyter Notebooks.

FAQ

Common questions

Is math required for CodeLadder's AI & Machine Learning course?+

High-school level algebra and statistics are sufficient to start CodeLadder's AI/ML course.

Does CodeLadder's AI/ML course use Python or R?+

CodeLadder's AI/ML course focuses entirely on Python, the industry standard for deep learning and machine learning.

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