Course Content
Module 1
0/47
Topic 1: Fundamentals of AI
02:50
LO1: Examine the History of Artificial Intelligence
06:29
LO2: Analyse the fundamental concepts and terminologies of Artificial Intelligence
07:02
LO3: Knowledge Check
15:00
Case Study: Fundamentals of AI
15:00
Topic 2: Machine learning
02:46
LO1: Elaborate on Machine Learning and its types
07:02
LO2: Discuss the applications, advantages, and disadvantages of Machine learning
03:48
LO3: Knowledge Check
15:00
Case Study: Machine Learning
15:00
Topic 3: Neural Networks
02:33
LO1: Understand Neural Networks and their working
05:09
LO2: Examine applications of Neural Networks along with its merits and limitations
03:48
LO3: Knowledge Check
15:00
Case Study: Neural Networks
15:00
Topic 4: Problem-Solving with AI
02:43
LO1: Identify real-world problems that can be solved using AI techniques
04:14
LO2: Formulate AI-driven solutions and critically evaluate the suitability of AI methods for specific applications
04:05
LO3: Knowledge Check
15:00
Case Study: Problem-Solving with AI
15:00
Topic 5: Implementation of AI search Algorithms in Python
03:00
LO1: Discuss Search Algorithms in AI and its types
04:50
LO2: Illustrate the basic programming skills in Python and relevant Libraries
04:25
LO3: Demonstrate the implementation of AI algorithms
04:14
LO4: Knowledge Check
15:00
Case Study: Implementation of AI search Algorithms in Python
15:00
Topic 6: AI Ethics
02:44
LO1: Recognise Ethical considerations in AI, including bias, fairness, transparency, and privacy
05:52
LO2: Design AI systems that adhere to responsible AI principles
03:39
LO3: Knowledge Check
15:00
Case Study: AI Ethics
15:00
Topic 7: AI Application in Image Recognition
02:52
LO1: Understand Image Recognition and its working
02:23
LO2: Analyse Applications of Image Recognition along with its merits and limitations
03:32
LO3: Knowledge Check
15:00
Case Study: AI Application in Image Recognition
15:00
Topic 8: Natural Language Processing
02:54
LO1: Understand Natural Language Processing and its working
02:48
LO2: Analyse applications of Natural Language processing along with its merits and limitations
03:41
LO3: Knowledge Check
15:00
Case Study: Natural Language Processing
15:00
Topic 9: AI-based Recommendation Systems
01:51
LO1: Understand Recommendation systems and their working
03:15
LO2: Analyse applications of Recommendation systems along with their merits and limitations
04:13
LO3: Knowledge Check
15:00
Case Study: AI-based Recommendation Systems
15:00
Module Based Quiz
01:00:00
Final Exam
0/1
Final Exam- Artificial Intelligence
01:15:00
Microcredential_AI101: Artificial Intelligence (Supreme)
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