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Are there any simple ways to learn more about AI ?
I want to learn more about AI are there any simple ways to learn about AI and other technology or any good websites that are accessible.
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James Constantine Frangos
Consultant Dietitian & Software Developer since 1972 => Nutrition Education => Health & Longevity => Self-Actualization.
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Gold Coast, Queensland, Australia
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James Constantine’s Answer
Hey there, Addy!
Unleash Your Potential with AI Learning
If you're keen to delve into the world of AI, don't worry about not having a tech background. There's a multitude of easy-to-access resources and websites that can guide you through AI and related technologies:
1. Coursera: This online learning hub offers a plethora of AI-related courses, including machine learning, deep learning, and natural language processing. You can learn at your own pace from top-notch universities and institutions.
2. edX: Another online learning platform, edX, offers a wide array of courses and certifications on AI and related topics from prestigious universities like MIT, Harvard, and UC Berkeley. You can earn certificates upon completion.
3. AI for Everyone: Google offers this free online course, providing a comprehensive introduction to AI and its applications. It's perfect for beginners, covering machine learning, computer vision, and natural language processing.
4. TED Talks: These are a fantastic way to absorb information about AI and related topics in a brief and engaging way. You can find talks by industry leaders on the future of AI, its ethics, and its societal impact.
5. Kaggle: This platform hosts data science competitions and datasets. You can find a variety of AI-related projects and competitions, such as image classification, natural language processing, and predictive modeling, which can enhance your AI knowledge and skills.
6. AI News: This website offers news, articles, and resources on AI and related topics. Stay updated with the latest advancements in AI, its use in healthcare, and its ethical implications.
7. AI Podcasts: Tune into podcasts like the AI Alignment Podcast, the Data Science Podcast, and the AI in Business Podcast. These offer expert interviews, discussions on the latest AI developments, and insights on AI's societal impact.
References:
1. Coursera. (n.d.). AI and Machine Learning Courses. Retrieved from <https://www.coursera.org/courses?query=ai%20and%20machine%20learning>
2. edX. (n.d.). AI and Machine Learning Courses. Retrieved from <https://www.edx.org/learn/ai-and-machine-learning>
3. Google. (n.d.). AI for Everyone. Retrieved from <https://ai.google/for-everyone>
By leveraging these resources, you can easily and accessibly expand your AI knowledge, even without a tech background. Always remember to check the credibility of your sources and approach the subject with an open and analytical mind.
Organic Web Results:
9 results
From beginner's guides to comprehensive coverage of AI technologies and tips from industry experts, these resources will help you navigate your AI learning journey. Remember, there's no "best" way to learn AI. It's about finding what works for you, whether that's online courses, teacher-led instruction, or self-guided study.
May you be blessed in your learning journey! (GBU = GOD BLESS YOU!)
Unleash Your Potential with AI Learning
If you're keen to delve into the world of AI, don't worry about not having a tech background. There's a multitude of easy-to-access resources and websites that can guide you through AI and related technologies:
1. Coursera: This online learning hub offers a plethora of AI-related courses, including machine learning, deep learning, and natural language processing. You can learn at your own pace from top-notch universities and institutions.
2. edX: Another online learning platform, edX, offers a wide array of courses and certifications on AI and related topics from prestigious universities like MIT, Harvard, and UC Berkeley. You can earn certificates upon completion.
3. AI for Everyone: Google offers this free online course, providing a comprehensive introduction to AI and its applications. It's perfect for beginners, covering machine learning, computer vision, and natural language processing.
4. TED Talks: These are a fantastic way to absorb information about AI and related topics in a brief and engaging way. You can find talks by industry leaders on the future of AI, its ethics, and its societal impact.
5. Kaggle: This platform hosts data science competitions and datasets. You can find a variety of AI-related projects and competitions, such as image classification, natural language processing, and predictive modeling, which can enhance your AI knowledge and skills.
6. AI News: This website offers news, articles, and resources on AI and related topics. Stay updated with the latest advancements in AI, its use in healthcare, and its ethical implications.
7. AI Podcasts: Tune into podcasts like the AI Alignment Podcast, the Data Science Podcast, and the AI in Business Podcast. These offer expert interviews, discussions on the latest AI developments, and insights on AI's societal impact.
References:
1. Coursera. (n.d.). AI and Machine Learning Courses. Retrieved from <https://www.coursera.org/courses?query=ai%20and%20machine%20learning>
2. edX. (n.d.). AI and Machine Learning Courses. Retrieved from <https://www.edx.org/learn/ai-and-machine-learning>
3. Google. (n.d.). AI for Everyone. Retrieved from <https://ai.google/for-everyone>
By leveraging these resources, you can easily and accessibly expand your AI knowledge, even without a tech background. Always remember to check the credibility of your sources and approach the subject with an open and analytical mind.
Organic Web Results:
9 results
From beginner's guides to comprehensive coverage of AI technologies and tips from industry experts, these resources will help you navigate your AI learning journey. Remember, there's no "best" way to learn AI. It's about finding what works for you, whether that's online courses, teacher-led instruction, or self-guided study.
May you be blessed in your learning journey! (GBU = GOD BLESS YOU!)
Updated
Sowmya’s Answer
LinkedIn Learning is an excellent tool you can utilize! This platform offers a wide range of courses, and even better, you can earn certificates for the ones you successfully finish.
Updated
John’s Answer
Hi there - yes indeed there are lots of super consumable ways of learning about AI. The trick is to find a course at your level, and also provides that reward for completing it.
I would recommend IBM Skills Build for this as it gives you a pathway into AI, from the very beginning of the learning journey to getting hands on with industry AI such as Watson. Along the way you will win badges that you can show on LinkedIn or your cv to showcase your learning achievements.
Ill pop the links in the next steps for you
Try out Skills Build - its got some great badges/learning experiences around AI - https://skillsbuild.org/
I would recommend IBM Skills Build for this as it gives you a pathway into AI, from the very beginning of the learning journey to getting hands on with industry AI such as Watson. Along the way you will win badges that you can show on LinkedIn or your cv to showcase your learning achievements.
Ill pop the links in the next steps for you
John recommends the following next steps:
Updated
Priyesh’s Answer
There are so many sites out there, the challenge is finding ones that are a good fit for your topic and technical level.
Here is a good summary with options from different providers.
https://tech.co/news/best-free-ai-training-courses
Once you found a topic within AI, you may want to go deeper. E.g. Generative AI
Here is a good summary with options from different providers.
https://tech.co/news/best-free-ai-training-courses
Priyesh recommends the following next steps:
Updated
Shaoyu (Shawn)’s Answer
A straightforward approach to expanding your knowledge about AI is to view the initial series of introductory videos in the first week module of the AI For Everyone course on Coursera, specifically tailored for those without a technical background. An alternative is to delve into An Executive's Guide to AI, a resource that demystifies AI and its prevalent business uses. Furthermore, IBM's The Business Case for AI in HR provides valuable insights and lessons to kickstart your journey with AI in HR roles.
Another uncomplicated method to broaden your understanding of AI is to keep abreast of the latest developments and available resources. Numerous machine-learning tools, data sets, and pre-trained models for conventional applications are becoming increasingly accessible, often through open-source platforms or APIs developed by trailblazing researchers and businesses. Staying vigilant about such opportunities can enhance your chances of securing a position as a first-mover or early adopter. Resources like the AI Index are beneficial in keeping up-to-date with AI. It's also advisable to leverage the expertise of data science and machine learning professionals, engage in conversations with AI trailblazers to gauge your understanding, and participate in a couple of AI conferences to acquire firsthand information.
Another uncomplicated method to broaden your understanding of AI is to keep abreast of the latest developments and available resources. Numerous machine-learning tools, data sets, and pre-trained models for conventional applications are becoming increasingly accessible, often through open-source platforms or APIs developed by trailblazing researchers and businesses. Staying vigilant about such opportunities can enhance your chances of securing a position as a first-mover or early adopter. Resources like the AI Index are beneficial in keeping up-to-date with AI. It's also advisable to leverage the expertise of data science and machine learning professionals, engage in conversations with AI trailblazers to gauge your understanding, and participate in a couple of AI conferences to acquire firsthand information.
Updated
Keith’s Answer
First, use AI to help you create a learning path! I used Bing Chat (powered by OpenAI chatGPT) and keep training the model until you get a version that you think works best for you. Below is a recommended path from Bing
Sure, I can help you with that! Here's a possible learning path:
1. Start with the basics of AI and machine learning. You can find resources online to learn about these topics, such as online courses or books. Some popular options include "Machine Learning" by Andrew Ng on Coursera, or "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron.
2. Once you have a good understanding of machine learning, you can start learning about generative AI specifically. Some good resources for this include the book "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, or the online course "Generative Adversarial Networks" on Coursera.
3. After you have a good understanding of generative AI, you can start exploring how it can be applied in personal life and the workplace. Some possible applications include generating art or music, creating realistic images or videos, or generating natural language text. You can find examples of these applications online, or try building your own using open-source tools like TensorFlow or PyTorch.
4. Finally, you can explore the ethical implications of generative AI and how it is being used in industry. This can include topics like bias in AI, privacy concerns, and the impact of automation on jobs. You can find resources online to learn about these topics, such as articles or podcasts.
I hope this helps! Let me know if you have any other questions.
Sure, I can help you with that! Here's a possible learning path:
1. Start with the basics of AI and machine learning. You can find resources online to learn about these topics, such as online courses or books. Some popular options include "Machine Learning" by Andrew Ng on Coursera, or "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron.
2. Once you have a good understanding of machine learning, you can start learning about generative AI specifically. Some good resources for this include the book "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, or the online course "Generative Adversarial Networks" on Coursera.
3. After you have a good understanding of generative AI, you can start exploring how it can be applied in personal life and the workplace. Some possible applications include generating art or music, creating realistic images or videos, or generating natural language text. You can find examples of these applications online, or try building your own using open-source tools like TensorFlow or PyTorch.
4. Finally, you can explore the ethical implications of generative AI and how it is being used in industry. This can include topics like bias in AI, privacy concerns, and the impact of automation on jobs. You can find resources online to learn about these topics, such as articles or podcasts.
I hope this helps! Let me know if you have any other questions.
Updated
Jason’s Answer
Hey there, Addy! I've stumbled upon a fantastic link that I think you'll love:
https://microsoft.github.io/AI-For-Beginners/
It's a super helpful guide for anyone who's just starting out with AI.
And guess what? I've found another link for you:
https://tinyurl.com/5y5h5tap
This one's equally brilliant! It's a great place to kickstart your journey into AI, and who knows, it might even pave the way for an exciting new career.
https://microsoft.github.io/AI-For-Beginners/
It's a super helpful guide for anyone who's just starting out with AI.
And guess what? I've found another link for you:
https://tinyurl.com/5y5h5tap
This one's equally brilliant! It's a great place to kickstart your journey into AI, and who knows, it might even pave the way for an exciting new career.
Updated
Sumabala’s Answer
Most big companies with an AI portfolio will have generally available free trainings to get you started.
For example, IBM has https://skillsbuild.org/students where you can register for free and take as many lessons as you want. You will also be awarded badges on completion.
Similarly, google has https://www.cloudskillsboost.google/
and Microsoft has https://learn.microsoft.com/en-us/training/career-paths/
Learning from people who build these solutions will help you understand the trends in the market better. You will also be able to browse ans see the other career and technical skills there, which may help you choose your career path.
For example, IBM has https://skillsbuild.org/students where you can register for free and take as many lessons as you want. You will also be awarded badges on completion.
Similarly, google has https://www.cloudskillsboost.google/
and Microsoft has https://learn.microsoft.com/en-us/training/career-paths/
Learning from people who build these solutions will help you understand the trends in the market better. You will also be able to browse ans see the other career and technical skills there, which may help you choose your career path.
Updated
Uma’s Answer
There's a wealth of resources available for you to learn AI, and the internet is there to guide you every step of the way. YouTube is a treasure trove of tutorials, ready for you to dive in. For a more structured learning experience, platforms like Coursera, EdX, and Udemy are at your service. And if you're up for an intensive learning journey, an AI bootcamp could be just the thing for you.
Updated
Beth’s Answer
Hi Addy,
This is a great resource https://www.microsoft.com/en-us/corporate-responsibility/ai-skills-resources?rtc=1 As others have mentioned, LinkedIn Learning has a lot of great resources. The link that I shared will also give you credit for completing it.
This is a great resource https://www.microsoft.com/en-us/corporate-responsibility/ai-skills-resources?rtc=1 As others have mentioned, LinkedIn Learning has a lot of great resources. The link that I shared will also give you credit for completing it.
Updated
Kashif’s Answer
Hi Addy
Great question and I appreciate your effort to learn about AI.
I have started a new YouTube series and sharing AI-101 to provide foundational level knowledge about AI and Tools and what's happening in the industry.
Feel free to check this out and share with your network.
https://youtube.com/@KashiDHQ
In each presentation, I share the additional resources that you can use to learn more about each area of AI. You can also check out the video description where I have listed all those links.
https://youtube.com/@KashiDHQ
https://www.kashiahmed.com
Great question and I appreciate your effort to learn about AI.
I have started a new YouTube series and sharing AI-101 to provide foundational level knowledge about AI and Tools and what's happening in the industry.
Feel free to check this out and share with your network.
https://youtube.com/@KashiDHQ
In each presentation, I share the additional resources that you can use to learn more about each area of AI. You can also check out the video description where I have listed all those links.
Kashif recommends the following next steps:
Updated
mandira’s Answer
AI is an exceptional and continuously advancing field. Stay updated with the latest industry trends. Don't forget to check out the Microsoft website. They offer some fantastic free courses on AI that can help you grow!
Updated
Ervin’s Answer
1. Download ChatGPT to your phone
2. Read articles on Chat GPT
3. Use ChatGPT in your life for searches and questions
4. Generate images with Chat GPT
2. Read articles on Chat GPT
3. Use ChatGPT in your life for searches and questions
4. Generate images with Chat GPT
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Kris’s Answer
AI is super interesting, but you're a little ahead of yourself! You should learn Python if you'd like to start with AI. It's the de facto programming language for most AI projects. You can learn a lot of Python on FreeCodeCamp.org. After you've gotten to the point that you think you're comfortable with Python, move into learning the Python AI & Machine Learning libraries. After that, you'll have to learn some pretty advanced mathematics. But start there - just learn Python. See if it's even something you really want to do. Learning to program is very difficult and takes a long time. But if you stick to it, you'll get it!
Updated
Sergei’s Answer
One of the best strategies to expand your knowledge about AI today is to stay updated with the announcements and product launches from IT giants. Take Microsoft's recent releases as an example - they're a great source of learning!
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