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AI/ML Engineering Track

12-week AI/ML engineering. Deep learning, LLMs, MLOps, model deployment at scale, and ML system design.

20 Projects to Choose From84 Days DurationVirtual / RemoteVerified Certificate
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Sample Projects

01

Iris Flower Classifier using PyTorch

Student builds a PyTorch model to classify Iris flowers into three species, demonstrating basic neural network implementation skills.

PythonPyTorchLangChainMLflow
Beginner
02

Text Preprocessing Pipeline using Python

Student develops a text preprocessing pipeline to clean and normalize text data, proving data preparation skills for NLP tasks.

PythonPyTorchLangChainMLflow
Beginner
03

Movie Rating Predictor using Linear Regression

Student builds a linear regression model to predict movie ratings based on user reviews, demonstrating understanding of regression analysis.

PythonPyTorchLangChainMLflow
Beginner
04

Image Classification using Pre-trained PyTorch Models

Student uses pre-trained PyTorch models to classify images into different categories, showcasing ability to work with pre-trained models.

PythonPyTorchLangChainMLflow
Beginner
05

Chatbot using LangChain and PyTorch

Student develops a simple chatbot using LangChain and PyTorch, demonstrating basic conversational AI skills.

PythonPyTorchLangChainMLflow
Beginner

+15 more projects available after enrollment

What You'll Get

  • Personalised 4-week roadmap PDF with daily tasks
  • Step-by-step implementation guide for your chosen project
  • Curated tools, libraries, and learning resources
  • Submission and evaluation criteria
  • Verified certificate with QR code on completion
  • LinkedIn-shareable certificate
Enroll Now

Build a real project in 4 weeks


  • 📅 84-day program
  • 🏠 100% Virtual / Remote
  • 📁 20 Projects to choose from
  • 🏆 Verified certificate on completion
  • 📄 Personalised roadmap PDF