- 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.

Basics of AI and Foundations
Learn the core principles behind AI systems, from rule-based logic to data-driven learning.
Introduction
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.
Certification
- KLiC courses are recognised by Yashwantrao Chavan Maharashtra Open University (YCMOU).
- MKCL provides certificate to the KLiC learner after his/her successful course completion.
- Yashwantrao Chavan Maharashtra Open University (YCMOU) provides mark sheet to successfully passed KLiC learners (Jurisdiction: Maharashtra).
Academic Approach
The academic approach of the courses 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 an employee or entrepreneur as well as development of the community to which s/he belongs. Learning methodology:
- Step -1: Learners are given an overview of the course and its connection to life and work.
- Step -2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
- Step -3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
- Step -4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
- Step -5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
- Step -6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
- Step -7: Learners are engaged in appreciation of real-life case studies developed by the experts.
- Step -8: Learners are encouraged to proceed from appreciation to imitation of the experts.
- Step -9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
- Step-10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
- Step-11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
- Step-12: 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, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!
Syllabus
- Introduction to Artificial Intelligence and Machine Learning
- Objectives
- Introduction to AI
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- History of AI
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- Definition and its importance
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- What is Generative AI?
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- Teaching machines to mimic human intelligence
- Understanding the basics of AI
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- Concept of 'Intelligence'
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- Machine Intelligence
- Types of AI
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- Narrow AI
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- General AI
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- Super intelligent AI
- Components of AI
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- Understanding how machines learn from data
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- Power of 'Reasoning'
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- The ability of problem-solving
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- Discussing how machines interpret sensory information
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- Linguistic Intelligence
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- Perception and Computer Vision
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- Robotics and Motion
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- Knowledge Representation
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- Planning and Navigation
- Ethics in AI
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- The 3 key areas of AI ethics
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- Privacy and data protection
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- Bias and discrimination
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- How to establish AI ethics?
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- Sustainability in AI
- Recap and outcome
- FAQs
- Summary
- Objectives
- Introduction to Machine Learning
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- Key components and processes of Machine Learning
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- How Algorithms work in Machine Learning?
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- Applications of Machine Learning
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- Benefits and drawbacks of Machine Learning
- Introduction to Deep Learning
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- Artificial Neural Networks
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- Structure and components of Artificial Neural Networks
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- Overview of Neural Network types
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- Benefits and drawbacks of Deep Learning
- Introduction to Natural Language Processing (NLP)
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- Applications of NLP in Machine Learning
- Introduction to Computer Vision
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- Technologies involved in Computer Vision
- Introduction to Cognitive Computing
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- Benefits of Cognitive Computing
- Summary
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 |
YCMOU Mark Sheet
Printed Mark Sheet will be issued by YCMOU on successful completion of Section 1, Section 2 and Section 3 and will be delivered to the learner by MKCL.
YCMOU Mark Sheet will be available only for Maharashtra jurisdiction learners
MKCL's KLiC Certificate
The certificate will be provided to the learner who will satisfy the below criteria:
- Learners who have successfully completed above mentioned 3 Sections i.e. Section 1, Section 2 and Section 3
- 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 (Inclusive of GST) |
ALC Share (Service Charges to be collected by ALC) |
---|---|---|
60 hours | Rs. 500/- | Rs. 2,500/- |
* 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/- |
* 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