Unlock the Power of AI - A Beginner's Course

Description

This course with teach the viewer the Fundamentals of AI & ML with the level of detail required for beginners.
The course is effective and is a good introduction for the viewer to Unlock the Power of AI & ML .

Requirements:

Actionable and clear breakdown of what is needed to take this course:

- Students would just need keen interest in AI & ML and basic computer knowledge to take the course.

- Software required to play the video files is the default/basic software that exists pre-installed on all computers, laptops,   
   tablets and mobile devices today that can play the MP4 video files.

The course is a video tutorial with voice, text and graphics to bring out content and messages very clearly and comprises of 7 videos:

Video-1 - Episode-1: Introduction to AI (Artificial Intelligence)

- What is AI

- Difference between AI & ML

- Why is AI/ML Important

- Types of AI

- Tools or software to build AI

- Applications of AI

Video-2 - Episode-2: ML (Machine Learning) Basics

- What is ML

- Types of ML

- Model training and evaluation

- ML Applications

Video-3 - Episode-3: Neural Networks & Deep Learning

- What are Neural Networks

- What is Deep Learning

- Difference between Neural networks & Deep Learning

- Applications of Neural Networks

- Applications of Deep learning

Video-4 - Episode-4: Neural Networks (deep-dive)

- Types of Neural Networks

- Neural Network Architecture

- Backpropagation algorithm

- Activation functions

Video-5 - Episode-5: Deep Learning (deep-dive)

- Deep learning applications

- Deep learning frameworks

Video-6 - Episode-6: AI Ethics & Future

- Ethical issues related to AI

- Bias in AI

- AI governance

- AI job displacement

- Future of AI

Video-7 - Thank You Message

Thank you for attending this introductory course in AI and ML! We hope you found it informative and engaging, and that you are leaving with a better understanding of the basic concepts and applications of these exciting fields. Remember, this is just the beginning of your journey into the world of AI and ML, and there is so much more to learn and explore. We wish you all the best in your endeavours, and we hope that you will continue to explore and stay curious about the latest developments in AI and ML.

In addition, we would like to remind you to check out our comprehensive AI and ML glossary, which can also be downloaded for future use. This glossary is a valuable resource that can help you navigate the complex terminology and concepts in the world of AI and ML, and we am sure you will find it to be a useful reference as you continue your learning journey

Glossary

This glossary provides a basic understanding of key terms used in AI and ML, and can serve as a useful reference for those looking to further their knowledge in these fields.

Artificial Intelligence (AI): The simulation of human intelligence in machines, allowing them to perform tasks that would normally require human intelligence, such as perception, reasoning, learning, and problem-solving.

Machine Learning (ML): A type of AI that enables machines to learn from data and improve their performance over time, without being explicitly programmed.

Deep Learning: A type of ML that uses neural networks with multiple layers to process and analyze data, allowing machines to learn and make decisions in a manner similar to humans.

Neural Networks: A system of interconnected nodes, or artificial neurons, that process information and can be used for tasks such as image recognition, natural language processing, and decision-making.

And Much More!

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