Date: 23 January, 2023
YouTube was searched for "artificial intelligence"
First Course Suggested:"Artificial Intelligence Full Course 2025 | Artificial Intelligence Tutorial | Simplilearn"
YouTube Video Link: https://www.youtube.com/watch?v=FkqINm-l3q0
Prompted ChatGPT: "Artificial Intelligence Full Course 2025 | Artificial Intelligence Tutorial | Simplilearn"
ChatGPT Response: "It looks like you're referring to a full course on Artificial Intelligence by Simplilearn. Are you looking for an overview of what the course covers, or are you seeking specific details like how to enroll, the syllabus, or how it might help with learning AI in 2025? Let me know how I can assist you!"
Prompted ChatGPT: "Is this video still relevant in 2025? Are there any more points needed to added at present?"
ChatGPT Response: "In 2025, a lot of the foundational concepts of AI, such as machine learning, neural networks, and natural language processing, would still be relevant, so the video you mentioned is likely to contain valuable content. However, the field of AI is rapidly evolving, and a few additional areas might be necessary to fully reflect the state of the art.
Some things that might be worth adding or updating could include:
Generative AI: With the explosion of tools like GPT-4 and other generative models, discussions about how AI can generate text, images, music, and more are now crucial. Explaining the impact of these technologies and their practical applications would be beneficial.
Ethical AI: As AI systems become more prevalent, the discussion around ethical AI, fairness, transparency, and accountability is growing. It's important to cover how AI systems can be built responsibly, especially in areas like healthcare, law enforcement, and hiring.
AI in Edge Computing and IoT: With AI moving to edge devices (like smartphones, autonomous vehicles, and sensors), incorporating the concept of AI on the edge and its role in the Internet of Things (IoT) would provide more up-to-date knowledge.
AI in Healthcare: AI's role in precision medicine, drug discovery, and diagnostics has expanded. Highlighting cutting-edge AI use cases in healthcare would make the course more relevant.
Reinforcement Learning: If not already covered in-depth, reinforcement learning has been seeing significant advancements, especially in robotics, autonomous systems, and gaming.
AI Regulation and Legislation: Governments are beginning to take action on AI regulation, with the EU leading the way in terms of policy and regulation. Including information about these trends and upcoming legislation could be insightful for learners.
Explainable AI (XAI): The demand for explainable AI models that allow users to understand and trust decisions made by AI systems is growing. This could be an important addition to the course.
If you're looking to update the course or add more material, these areas might be valuable to consider! Let me know if you'd like more details on any of these topics."
to be contd.. as next blog post, stay tuned!
