Understanding & Usage Of AI (Artificial Intelligence)

The "Understanding & Usage Of AI" course provides a comprehensive overview of Artificial Intelligence (AI), covering its history, evolution, and practical applications in the modern era.

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Evxo Tech

Hours

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English

Last updated

Sat, 23-Mar-2024

Course description

The "Understanding & Usage Of AI" course provides a comprehensive overview of Artificial Intelligence (AI), covering its history, evolution, and practical applications in the modern era. Students will explore various types of AI, including Narrow AI and General AI, and learn about machine learning, deep learning, and reinforcement learning techniques. The course delves into real-world examples of AI applications, such as recommendation systems, predictive analytics, and autonomous vehicles, highlighting their impact on daily life. Practical sessions enable students to use different AI tools for tasks such as content generation, data analysis, and understanding AI workings. By the end of the course, students will gain a deeper understanding of AI concepts and its diverse applications across different domains.

What will i learn?

Introduction to AI (Artificial Intelligence)
Types of AI
Use of AI Applications
Programming Languages Used For AI
Use of AI in Daily life
Use of Different AI Tools

Requirements

Students Should be Matric or Intermediate Passed.

Frequently asked question

The "Introduction to AI" section covers topics such as the history of AI, the demand for AI, the evolution of AI over time, and an exploration of AI in the modern era.

The course discusses Narrow AI (Weak AI) and General AI (Strong AI), along with examples such as virtual assistants, spam filters, image recognition systems, and more.

Yes, examples include virtual assistants like Siri and Alexa, spam filters used in email systems, and image recognition systems used in facial recognition and autonomous vehicles.

Machine learning techniques are used in applications such as recommendation systems, predictive analytics, and natural language processing (NLP) to analyze data, make predictions, and understand human language.

Deep learning models, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), are used for tasks such as image recognition, speech recognition, and natural language processing.

Examples include voice assistants, recommendation systems used by online platforms, natural language processing applications like chatbots, and image recognition systems.

Programming languages such as Python, R, Julia, and MATLAB/Octave are commonly used for AI development due to their extensive libraries and tools.

AI tools can be used for generating website content, generating ideas for YouTube videos, creating branding and style, analyzing data, and understanding AI's working principles.

Examples include JP Morgan's document verification system, IBM Watson's healthcare system, Tesla's autonomous driving technology, and spam filtration systems used in email platforms.

Yes, practical exercises cover the use of different AI tools for content generation, data analysis, and understanding AI applications in various domains.

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₨10000

₨20000

Lectures

6

Skill level

Intermediate

Expiry period

2 Months

Certificate

Yes

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