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Artificial Intelligence for Everyone

" AI for Everyone: History of AI and Real-life applications". In this introductory program, we embark on a fascinating journey to explore the evolution of Artificial Intelligence (AI) from simple computational machines to today's highly intelligent systems capable of thinking, learning, and making decisions.  

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Artificial Intelligence for Everyone

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” AI for Everyone: History of AI and Real-life applications”.

In this introductory program, we embark on a fascinating journey to explore the evolution of Artificial Intelligence (AI) from simple computational machines to today’s highly intelligent systems capable of thinking, learning, and making decisions.

We’ll touch upon the history of AI, highlighting the key milestones and innovations that have paved the way for today’s intelligent machines. From the initial concept of machines mimicking human intelligence, to the development of the first computers, and on to the groundbreaking algorithms that enable machines to learn from data, we will cover the critical moments that have shaped AI.

But AI is not just about the past; it’s actively shaping our present and future. We will delve into some of the most interesting and relevant examples of how AI is being integrated into our daily lives. From virtual assistants that help organize our day, to recommendation systems that suggest movies we might like, and smart devices that optimize energy use in our homes, AI is making our lives easier, more efficient, and more connected.

Whether you’re a curious individual eager to learn about AI or someone interested in the latest technological advancements, this program is your gateway to understanding the basics of artificial intelligence. In this exciting journey as we unravel the mysteries of AI and discover how it’s transforming the world around us, one smart solution at a time.

Session Content

2 sections • 9 lectures • 40m total length

Video: Appreciating AI and describing its applications
Video: The 3 domains demonstrated with games -1
Video: The 3 domains demonstrated with games -2
Video: How do machines learn?
Trying AI with various No-Code Platforms e.g. Google, Microsoft
Pdf: AI Ethics and AI Bias
Video: ChatGPT: The game changer
Video: Images and Videos generated through GenAI techniques
Video: Real life applications of ChatGPT
Visualizing the future in the age of AI
What it takes to do an AI Project: Project Lifecycle – Understanding Scoping, Data Acquisition, Exploration, Modelling & Evaluation.
Decluttering the jargons: IoT, Cloud, AR, Data Engineering, Big Data and all the terms related to AI
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