Fundamentals of Artificial Intelligence and Data Science: Principles, Terminologies and Applications

  • Helps to develop a strong theoretical understanding on the basics of AI
  • Various subdomains of AI presented with real-life use cases
  • Different learning approaches and their relevance
  • Discussion of emerging trends in AI
  • Detailed session on the most recent development in AI, federated learning.
Registration Fee : ₹900.00/-


Course Curriculum



Day 1
  •  Basics of AI
    •  What is AI?
      • Why is AI required?
      • Implementation goals of AI 
      • Introduction into initial AI systems with real life instances.
      • Applications of AI based on real life examples.
  •  Branches of AI 
    • Introduction to ML and DL
    • Natural Language Processing
    • Computer Vision
    • Robotics
  • Introduction to Human AI interaction with use cases
  • Basic of pattern recognition
  • Introduction into Machine Learning
  • Different types of learning 
    • Supervised
    • Semi supervised
    • Unsupervised
    • Reinforcement learning
Day 2
  • Introduction to classification, regression and clustering approaches.
  • Basic introduction to the functioning of KNN, decision tree and similar models.
  • Real life applications of machine learning.
  • Introduction into deep learning.
  • Deep learning vs. machine learning
  • What is a perceptron?
  • Introduction to neural networks
  • Structure, functionality and how it works 
  • Future of deep learning and AI
  • Recent trends in deep learning.
Day 3
  • Introduction into emerging learning paradigms
  • Basic of federated learning
  • Need for FL 
  • Where can FL be delivered?
  • How does FL training work?
  • Life cycle of FL models.
  • Comparison between centralized learning and FL
  • Applications of FL
  • Challenges and opportunities

About the course

In the current scenario, every industry is facing a boom as part of the Aartificial Iintelligence (AI) revolution. AI has found its applicability in several tasks, which has resulted in process automation in many industries. Most of the laborlabour-intensive tasks related to object detection, manufacturing, and production have gradually been taken over by machines as part of the AI revolution. Even though we refer to every single procedure that applies cognitive skills as AI, it can be classified into several subcategories. Various technologies, such as machine learning, deep learning, computer vision, and so on, cumulatively come under the general term AI. This course provides users with a basic introduction to AI, including both theoretical concepts and applications. It also provides an overview of various subcategories of AI and their use cases in real-life scenarios. We conclude the course by presenting some of the recent advancements in AI and the possibilities of AI integration with other technologies, such as IoT. The classes will be conducted live, and subscribers can access the recorded video classes of the live sessions for a duration of three months. After the successful completion of classes, e-certificates will be issued by Manorama Horizon.


There is no specific eligibility for this course.Anyone who would like to know more about artificial intelligence can join the course

System Requirements

This course requires a system with a steady internet connection

Class Timings

Date : 25th March 2023 - 27th March 2023

Time : 8:00 PM to 9:30 PM IST

Resource Person

Mr. Akarsh K Nair

Akarsh K Nair is a doctoral researcher at the Indian Institute of Information Technology (IIIT), Kottayam, specializing in distributed learning, machine learning, federated learning, and Edge Intelligence. Previously, he worked as an assistant professor in the Department of Computer Science at TEC College, Palakkad, India. In addition to being selected for the prestigious ACM Anveshan Setu mentorship program in 2021 and 2023, he is also associated with the iHub HCI foundation at IIT Mandi as a doctoral fellow. Akarsh has already published several research articles in reputable scientific journals and international platforms, and he has also acted as a reviewer for prestigious scientific journals.

Knowledge Partner