
Last updated 6/2024
Duration: 2h50m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.61 GB
What you’ll learn
Requirements
No experience needed with AI, I assume you are a complete beginner.
Description
1.0 Introduction
Dive into the rich history of AI, from its philosophical origins to groundbreaking milestones. Learn about the evolution from symbolic AI to the advent of machine learning and deep learning, solidified with a quiz to test your knowledge.
4.0 Major Branches of AI
5.0 Tools and Technologies in AI
Learn about the essential programming languages and tools that power AI development. Discover the frameworks and libraries that are integral to AI research and application. Understand the hardware requirements for AI, including GPUs and TPUs.
6.0 Ethics and Challenges in AI
Navigate through the ethical landscape of AI, discussing bias, fairness, privacy, and security. This section emphasizes the importance of ethical considerations in AI development, reinforced with a quiz.
7.0 AI in Practice
Delve into real-world applications of AI across different industries. Analyze case studies to understand the practical impact of AI technologies. Consider the future of employment and how AI shapes job landscapes.
8.0 The Future of AI
10.0 Conclusion
Insights about the author and their journey in the AI field.
Target Audience:
Course Format:
Who this course is for:

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