Basics of AI and Foundations

Learn the core principles behind AI systems, from rule-based logic to data-driven learning.

Basics of AI and Foundations
Course Features:
  • Language: English
  • list-box-outline Track: New Collar Track
  • Duration: 30 hours
  • layers-outline Level: Beginner
  • Learning Mode: Learn at ALC or Learn at Home
  • Jurisdiction: Maharashtra
  • Certificate of Completion
Eligibility
  • Learner should preferably a std. 10th Pass student (Not Compulsory)
  • It is desirable that Learner should have done MS-CIT Course (Not Compulsory)
List of ALCs

Introduction

  • Describe the core concepts of Artificial Intelligence (AI) and offer a historical context to understand its development.
  • Classify different types of AI, distinguishing between Narrow AI and General AI for a comprehensive perspective.
  • Explain the key components of AI and their roles in machine learning processes, emphasizing their connection to data.
  • Discuss the ethical considerations in AI, highlighting issues related to privacy, bias, and sustainability.
  • Explore the practical applications of AI in diverse fields such as healthcare, finance, and entertainment to showcase its versatility.
  • Analyse the societal impact of AI, focusing on its benefits and potential challenges to provide a well-rounded view.
  • Examine ethical frameworks in real-world AI scenarios, fostering responsible and ethical practices in the implementation of artificial intelligence.

What you'll learn ?

  • By the end of the course, learners will be able to:
  • Define AI and articulate its historical development, providing a comprehensive overview.
  • Identify and classify different types of AI, facilitating a nuanced understanding of AI diversity.
  • Explain the fundamental components of AI, fostering a clear comprehension of machine learning processes.
  • Discuss ethical considerations in AI, demonstrating an awareness of privacy, bias, and sustainability.
  • Explore and apply AI in various industries, showcasing practical knowledge and insights.
  • Analyse the societal impact of AI, critically evaluating its contributions and potential drawbacks.
  • Apply ethical frameworks to real-world AI scenarios, ensuring a responsible and ethical approach to AI implementations.

Syllabus

  • Introduction to Artificial Intelligence and Machine Learning
  • Objectives
  • Introduction to AI
    • History of AI
    • Definition and its importance
    • What is Generative AI?
    • Teaching machines to mimic human intelligence
  • Understanding the basics of AI
    • Concept of 'Intelligence'
    • Machine Intelligence
  • Types of AI
    • Narrow AI
    • General AI
    • Super intelligent AI
  • Components of AI
    • Understanding how machines learn from data
    • Power of 'Reasoning'
    • The ability of problem-solving
    • Discussing how machines interpret sensory information
    • Linguistic Intelligence
    • Perception and Computer Vision
    • Robotics and Motion
    • Knowledge Representation
    • Planning and Navigation
  • Ethics in AI
    • The 3 key areas of AI ethics
    • Privacy and data protection
    • Bias and discrimination
    • How to establish AI ethics?
    • Sustainability in AI
  • Recap and outcome
  • FAQs
  • Summary
  • Objectives
  • Introduction to Machine Learning
    • Key components and processes of Machine Learning
    • How Algorithms work in Machine Learning?
    • Applications of Machine Learning
    • Benefits and drawbacks of Machine Learning
  • Introduction to Deep Learning
    • Artificial Neural Networks
    • Structure and components of Artificial Neural Networks
    • Overview of Neural Network types
    • Benefits and drawbacks of Deep Learning
  • Introduction to Natural Language Processing (NLP)
    • Applications of NLP in Machine Learning
  • Introduction to Computer Vision
    • Technologies involved in Computer Vision
  • Introduction to Cognitive Computing
    • Benefits of Cognitive Computing
  • Summary

Certificate

  • MKCL provides certificate (for 30/60/90/120 hours courses) to the KLiC learner after his/her successful course completion.
  • KLiC courses of 120 hours are recognised by Yashwantrao Chavan Maharashtra Open University (YCMOU). YCMOU provides ‘eStatement of Marks-cum-Certificate’ for successfully passed KLiC learners (who have selected 120 hours and YCMOU mode at the time of admission) (Jurisdiction: Maharashtra).

Academic Approach

The Academic Approach of the course focuses on the “work centric” education i.e. begin with work (and not from a book !), derive knowledge from work and apply that knowledge to make the work more wholesome, useful and delightful. The ultimate objective is to empower the Learner to engage in socially useful and productive work. It aims at leading the learner to his/her rewarding career as well as development of the society.

Learning methodology

  • Learners are given an overview of the course and its connection to life and work.
  • Learners are then exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
  • Learners are then acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
  • Learners are then acquainted with the architecture of the tool or Tool Map so as to appreciate various parts of the tool, their functions and their inter-relations.
  • Learners are then exposed to simple application development methodology by using the tool at the beginner’s level
  • Learners then perform the differential skills related to the use of the tool to improve the given ready-made outputs.
  • Learners are then engaged in appreciation of real-life case studies developed by the experts.
  • Learners are then encouraged to proceed from appreciation to imitation of the experts.
  • After imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
  • Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression.

Evaluation Pattern

Evaluation Pattern of KLiC Courses consists of 4 Sections as per below table:

Section No. Section Name Total Marks Minimum Passing Marks
1 Learning Progression 25 10
2 Internal Assessment 25 10
3 Final Online Examination 50 20
Total 100 40
4 SUPWs (Socially Useful and Productive Work in form of Assignments) 5 Assignments 2 Assignments to be Completed & Uploaded

MKCL’s KLiC Certificate will be provided to the learner who will satisfy the below criteria:

  1. Learners who have successfully completed above mentioned 3 Sections i.e. Section 1, Section 2 and Section 3
  2. Additionally, learner should have completed Section 4 (i.e. Section 4 will comprise of SUPWs i.e. Socially Useful and Productive Work in form of Assignments)
    • Learner has to complete and upload minimum 2 out of 5 Assignments

Courses Fee Structure from 01 July, 2025 Onwards

KLiC 60 hour course fee applicable from 01 July, 2025 all over Maharashtra
KLiC Course Duration MFO: MKCL Share
(Including 18% GST)		 ALC Share
(Service Charges to be collected by ALC)
60 hours Rs. 500/- Rs. 2,500/-
Important Points:
* Above mentioned fee is applicable for all Modes of KLiC Courses offered at Authorised Learning Center (ALC) and at Satellite Center
* Total fee is including of Course fees, Examination fees and Certification fees
* MKCL reserves the right to modify the Fee anytime without any prior notice

KLiC Courses Fee Structure upto 30 June, 2025

Region Total Fee (Rupees)
MMRDA, PMRDA and Rest of Maharashtra 3000/-
Important Points:
* Above mentioned fee is applicable for all Modes of KLiC Courses offered at Authorised Learning Center (ALC) and at Satellite Center
* Total fee is including of Course fees, Examination fees and Certification fees
* MKCL reserves the right to modify the Fee anytime without any prior notice