NCC Short Course
in Artificial Intelligence
Introduction
The NCC Short Course in Artificial Intelligence (AI) offers a foundational understanding of AI concepts, techniques, and applications, ideal for professionals and beginners looking to explore the AI field.
Table of content
NCC Short Course in Artificial Intelligence(AI)
Course Title and Duration
Duration:
Up to 80 hours of learning content.
Start Dates:
Registration throughout the year
Awarding Institution and Language of Study
Awarding Institution:
NCC Education
Language of Study:
English
Programme Overview
The NCC Education Short Course in Artificial Intelligence (AI) is designed to provide a comprehensive introduction to AI, exploring both theoretical and practical aspects. The course is tailored to meet the needs of different learning cohorts, including working professionals and entry-level graduates. It aims to equip learners with essential AI knowledge and skills to apply in various business and technical contexts.
Topics Covered
- Introduction to AI
- Problem Solving Using Search
- Knowledge Representation
- Uncertain Knowledge
- Fuzzy Logic
- Machine Learning
- Neural Networks
- Decision Trees
- Genetic Algorithms
- Expert Systems
- Natural Language Processing
- Intelligent Agents
Entry Requirements
Academic Requirements
There are no formal prerequisites for this course. It is suitable for individuals looking to understand the basics of AI, regardless of their prior knowledge or experience.
Programme Structure
Introduction to AI
Definitions, History of AI, Characteristics, Limitations, Ethics, and Development.
Problem Solving Using Search
Strategies for state space search, including uninformed and informed search.
Knowledge Representation
Types of knowledge, logical representation, semantic networks, frame representation, and production rules.
Uncertain Knowledge
Understanding uncertainty, probability, Bayes’ rule, and reasoning.
Fuzzy Logic
Fuzzy logic, linguistic variables, sets and operations, rules, and systems.
Machine Learning
Introduction to supervised, unsupervised, and reinforcement learning, and applications.
Neural Networks
Basic structure, perceptrons, multilayer networks, learning algorithms.
Decision Trees
Structure, terminologies, and attribute selection.
Genetic Algorithms
Basics of genetic algorithms and natural evolution simulation.
Expert Systems
Development, components, characteristics, and rule-based systems.
Natural Language Processing
Terminologies, components, processing pipeline, and applications.
Intelligent Agents
Concepts of agents, environments, rationality, and algorithms.
Learning & Teaching Strategies
The course utilizes a blend of online learning methods:
Video Lectures
To introduce key concepts and theories.
Practical Activities
To apply knowledge in real-world scenarios.
Quizzes and Assignments
To assess understanding and reinforce learning.
Discussion Forums
For interaction with peers and instructors.
Assessment Strategy
Assessments are conducted through quizzes, assignments, and practical activities to evaluate students’ understanding and application of AI concepts. There are no formal examinations.
Learning Outcomes:
Upon completion, students will be able to:
- Understand the importance and applications of AI.
- Apply AI search strategies and knowledge representation techniques.
- Assess techniques for reasoning with uncertain knowledge.
- Understand machine learning techniques and their applications.
- Implement and evaluate AI models and techniques in real-world problems.
Career and Professional Development
This course prepares students for various AI career paths, including:
- AI Architect
- Business Intelligence Developer
- Big Data Engineer
- Data Scientist
- Machine Learning Engineer
Support for Student Learning:
Students will have access to:
Learning Resources
Online study materials and libraries.
Discussion Forums
For engagement with peers and tutors.
Technical Support
Available throughout the course duration.
Programming Tools Used
- WEKA
- Scikit-Learn
- Python (with NLTK)
- SWI Prolog
Total Qualification Time
Up to 80 hours.
Conclusion
The NCC Short Course in Artificial Intelligence (AI) equips learners with a solid understanding of AI principles and practical applications, enabling them to explore opportunities in the evolving AI field. Whether advancing a career or pursuing further studies, this course provides the essential knowledge and skills to thrive in an AI-driven world.
