Diploma in AI & ML

The Diploma in Artificial Intelligence and Machine Learning is designed to introduce students to intelligent systems that can learn from data and make decisions. This online program equips learners with foundational knowledge and practical skills in AI and machine learning technologies used across modern industries.

Program Overview

This diploma covers core concepts of artificial intelligence and machine learning, including data fundamentals, basic programming for AI, supervised and unsupervised learning, neural networks, and practical applications of AI systems. The program emphasizes hands-on learning, ethical use of AI, and real-world problem-solving. It is suitable for beginners and professionals seeking entry-level expertise in AI and ML.

AI & ML Curriculum

Semester 1
  • DAI101: Programming with Python for AI
  • DAI103: Discrete Mathematics 
  • DAI104: Data & SQL Fundamentals
  • DAI102: Math for AI (Linear Algebra)
  • DAI105: Computing Systems and Linux Tools 
  • DAI201: Probability & Statistics for ML
  • DAI202: Data Structures & Algorithms (Python)
  • DAI203: Machine Learning I
  • DAI204: Data Engineering & Pipelines 
  • DAI301: Machine Learning II
  • DAI206: Project 1: Predictive Modeling 
  • DAI302: Deep Learning (NNs, CNNs)
  • DAI305: MLOps & Cloud Deployments
  • DAI303: Natural Language Processing
  • DAI304: Computer Vision (Images & Video)
  • DAI401: Deep Learning II (Seq Models & Transformers)
  • DAI403: Generative AI & LLM Applications
  • DAI404: Tech Entrepreneurship & Product Strategy 
  • DAI405: Capstone Project 

Teaching & Learning Method

Live Online Lectures

Recorded Video Lessons

Interactive Learning Activities

Assessment and Feedback

Career Opportunities

AI & Machine Learning Assistant

Graduates can assist AI professionals in developing, training, and testing machine learning models and intelligent systems.

Opportunities to support data analysis tasks, prepare datasets, and assist in extracting insights using machine learning tools.

Graduates may help in implementing AI-based solutions, maintaining AI systems, and supporting intelligent applications in organizations.

Graduates may pursue advanced studies or professional certifications in artificial intelligence, machine learning, or data science.

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