About Course

Overview

The Post Graduate Program in AI and Machine Learning is an advanced career-focused training program designed for professionals and graduates who aspire to excel in the field of Artificial Intelligence and Machine Learning.

This program provides an in-depth understanding of AI concepts, machine learning algorithms, deep learning frameworks, Natural Language Processing (NLP), computer vision, and advanced data science techniques. With guidance from industry experts and academic faculty, participants learn to design and implement AI solutions that address real-world challenges across industries like healthcare, finance, retail, cybersecurity, and more.

Upon completion, learners receive a recognized postgraduate certificate that validates their expertise and strengthens their career prospects in AI and data science.

Key Highlights:

  • Comprehensive postgraduate-level AI & ML curriculum.

  • Hands-on labs and real-world projects using Python, TensorFlow, PyTorch, and Scikit-learn.

  • Capstone projects with industry relevance.

  • Career services: resume building, interview preparation, and mentorship.

  • Designed for working professionals and fresh graduates.


Course Details

  • Duration: 9–12 months (part-time, flexible learning).

  • Format: Online/Hybrid with live classes, self-paced modules, and hands-on labs.

  • Level: Intermediate to advanced.

  • Certification: Post Graduate Program in AI and Machine Learning.

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What Will You Learn?

  • Master machine learning, deep learning, NLP, and computer vision.
  • Apply AI techniques to solve real-world problems.
  • Gain hands-on experience with leading AI/ML tools and frameworks.
  • Build an advanced project portfolio to showcase expertise.
  • Position yourself for roles like AI Engineer, ML Specialist, Data Scientist, or AI Consultant.

Course Content

Module 1: Foundations of AI & Machine Learning

  • Introduction to Artificial Intelligence.
  • Evolution, applications, and ethical considerations of AI.
  • Fundamentals of Machine Learning.

Module 2: Programming & Tools for AI/ML

Module 3: Mathematics & Statistics for ML

Module 4: Supervised & Unsupervised Learning

Module 5: Deep Learning & Neural Networks

Module 6: Natural Language Processing (NLP)

Module 7: Computer Vision

Module 8: Advanced Topics

Module 9: Capstone Project

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