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AI & ML Engineering

Build practical AI & ML engineering skills — from data preprocessing and model building to GenAI applications and deployment.

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From Python foundations to GenAI applications.

PythonGoogle Colabpandasscikit-learnTensorFlow

4 Months Live Training

1 Year LMS Access

Recorded Sessions

Capstone Project

90% Attendance Expected

80% Project Completion Expected

What you'll learn

Key Skills You Will Master

Python foundations for AI & ML
Data handling & preprocessing
Statistics & mathematics for ML
Supervised & unsupervised machine learning
Deep learning foundations
NLP & text analytics
Generative AI & prompt engineering
OpenAI API, RAG & AI app deployment
Toolkit

Tools You Will Work With

PythonGoogle Colabpandasscikit-learnTensorFlowPyTorchHugging FaceOpenAI APILangChainStreamlitChatGPT
Module-wise

Detailed Curriculum

A structured, module-by-module path with practical activities and tools.

What will be covered: AI vs ML vs deep learning vs GenAI, AI use cases, Python basics, data types, functions, file handling, notebooks, and Google Colab.
Practical activities: Python notebook covering core programming concepts.
Tools:PythonGoogle Colab

Evaluation

Assessments

Weekly assignments
Tool-based tasks
Project submissions
Mentor review
Final capstone presentation
Build something real

Capstone Projects

Sample projects you can build to demonstrate your practical learning.

Document Q&A assistant
Resume screener
Customer support chatbot
Loan eligibility prediction
Sales forecasting model
Sentiment dashboard
AI learning assistant
Support

LMS and Learning Support

  • Live online classes
  • Recordings available in LMS
  • LMS access for 1 year
  • Assignments and learning resources
  • Mentor feedback
  • Progress tracking
  • Attendance tracking
Eligibility

Completion Requirements

  • Minimum 90% attendance expected
  • Minimum 80% assignment/project completion expected
  • Fee clearance
  • Compliance with LMS and program policies
  • Certificate eligibility based on completion requirements
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