If you are into cybersecurity or any other field, you probably want to learn about AI and ML. They can really help your resume and help you increase the $$$ you earn. // BOOK // Deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville: amzn.to/3vmu4LP // COURSE // AI For Everyone by Andrew Ng: www.coursera.org/learn/ai-for-everyone // PyTorch // Github: github.com/pytorch Website: pytorch.org/ Documentation: ai.facebook.com/tools/pytorch/ // Courses Reference // Python for Everyone: www.py4e.com/ AI for Everyone: www.coursera.org/learn/ai-for-everyone Deep Learning:www.coursera.org/specializations/deep-learning Pytorch Tutorials: pytorch.org/tutorials/ Pytorch Github: github.com/pytorch/pytorch Pytorch Tensors: pytorch.org/tutorials/beginner/introyt/tensors_deeper_tutorial.html pytorch.org/tutorials/beginner/basics/tensorqs_tutorial.html pytorch.org/tutorials/beginner/basics/autogradqs_tutorial.html // UKposts video reference // Teach your AI with Dr Mike Pound (Computerphile): ukposts.info/have/v-deo/amGddpqqiK2eu4k.html // Mike SOCIAL // Twitter: twitter.com/_mikepound UKposts: ukposts.info Website: www.nottingham.ac.uk/research/beacons-of-excellence/future-food/meet-the-team/michael-pound/index.aspx // David SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: twitter.com/davidbombal Instagram: instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal UKposts: ukposts.info // MY STUFF // www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 00:00 - Coming Up 01:11 - Intro 01:34 - The State of A.I 03:19 - Job Opportunities 04:48 - Code with Vulnerabilities 05:50 - A.G.I 09:20 - Training A.I 10:06 - What Language Should You Learn? 14:54 - Coursera Courses 19:17 - Will the Future have Different A.I's? 20:18 - What is Segment Anything? 21:47 - How to Incorporate A.I in your Job 25:29 - A.I is Everywhere 31:21 - Going to a Third Group 33:52 - Books to Read 35:16 - What Should you do in 2024? 40:58 - Ride the Wave 43:52 - Conclusion 45:16 - Outro chatgpt ai artificial intelligence bard ai jobs lamda python neural network machine learning deep learning sentient google ai mike pound michael pound dr michael pound computerphile artificial intelligence google ai sentient google ai lamda google ai sentient conversation google ai alive ai jobs Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel!

Key takeaways: 1. Learn Python 2. PyTorch 3. Supervised learning 4. Start putting these skills to use

Wow, this video is perfect. I asked a question on one of your last videos about AI and this video gets released and it perfectly answers everything for me. I really enjoy watching your interview videos as I seem to learn so much from them. Keep up the great work!

Thanks David and Mike! Excellent episode.

Love the episode as it gives me enough details where someone can start on the hot skill AI. If Mike releases courses, I will definitely go through them

Mike is a legend. Remember watching all his videos years ago about learning network handshakes and he was always so easy to listen and learn from. It’s an absolute pure privilege to have Mike as your tutor if you’re lucky enough. I’d take that opportunity any day.

One of the best videos I've seen in a while. Mike is such a nice person, having this positive/encouraging vibe, and giving people hope. I've seen other arrogant professionals, making it seem impossible for the average person, so they can be seen as big "geniuses". Love it! God Bless you guys!

Great video, I have been using / teaching Python for a long time now and I have worked on levee safety using ML and AI and it's great to see a video that mentions all the hype (because there is a lot!) and simply encourages people to start learning about AI.. reminds me again to have a look at some new courses.. thx for this video!

Thank you gents. Excellent content and personality!

Amazing content thanks David and Mike!!

Thank you so much for this!

Mike is a great communicator.. great video, thanks.

Finally someone actually saying what to do instead of a vague statement like - "Learn AI". This is exactly what we needed.

I couldn't help but noticing the electronic drumkit behind Mike 😛 (and some boardgames on the right shelf!)

Great Video David. Years back my management wanted me to learn network and I took most of your udemy courses.. really enjoyed them (I learned openflow also.. oops. Got to be friends with Paul Zanna who is a great guy). I got into AI/ML about 8 years ago give or take. Really enjoy it although tempering management expectations with reality is sometimes a challenge ... the hype doesn't help there. As mentioned the "Deep Learning " book is a bit "heavy" so not for the faint of heart LOL. I love all of Andrew's courses although so agree there for sure. As far as AGI (exact definition up for debate) I think when we get there is going to be a complete guess, although with the acceleration we have seen over the last couple of years and increased investment it could be faster than predicted.

Informative conversation - Thank you, gentlemen. 👍

This is very inspiring! I am a 62-year-old cybersecurity professional looking to finish my last years of service learning and doing something new and fun and more important putting it to use to add value to my company. This seems to be it, but the stigma of old age weighs on me as to how younger colleagues perceive my capabilities. I wish there was more videos like this to inspire those of us that may feel lost in the wave of changes feeling anxious to have been left behind.

What I found useful after playing around with Pytorch for a few weeks was to forget about Pytorch for a while and build a little vanilla NN with just Numpy. It is one thing to see the equations and memorise them, quite another to translate them into code. I feel those were my most productive days of the learning process so far. It was only then that I truly wrapped my head around back-propagation.

Thank You for this video!!

Thank you for this amazing & useful conversation! You have gave me a hope to learn ML and AI!

Cool, thanks for sharing!

David, thank you very very much for this video. Please extend my thanks to Dr. Pound too. All the topics discussed here are very informative and clears so many doubts that I had in my mind. I now have a clear path ahead of me to build my career in AI. Need more collaborative stuff from both of you. Also eager to see Dr Pound come up with a new course. Thanks a ton!!

Thank you. It's a pleasure to watch you.

This is so helpful thank you!!!!

This is literally one of the most valuable videos around the topic of AI I have yet to see. Mike Pound has the amazing ability to explain things without hiding behind tech buzzwords or hype. This brings the entire AI revolution a bit more down to earth and pulling the curtain back on some of these AI products which are little more than programming wrappers around someone else’s models. There is still a lot of space for growth here from a programming/tech job perspective.

Thanks.Very simply expressed

This is one of the guys from the Computerphile YT channel. Really like it when he explains something, as well as the others there. 🙂

thank you both, great video

Thanks David and Mike! Please find time for a course Mike ! 🙏

Yes yes, please create a course Mike!

Extremely useful content, thank you great gentlemen!

Finally a practical and apply-able video on machine learning and AI. I'm an experienced data / BI professional still fairly new to python, this helps greatly on explaining the scope and pathway towards progressing in these areas striking a good middle ground between detail and generality

Thanks! Knowing all this information will help someone navigate where they want to be in tech and AI

I've spent hours and hours on YT trying to find the right place to start. This was just what I needed!

I was writing my comment asking about TensorFlow vs PyTorch and hit 38:40 where he directly answers my question. Thank you for this very in depth video.

some very good points in this, thanks!

Valuable advice.. thanks

Very interesting, as always. Thank you.

This video was exactly what I needed, from some I respect. I have been starting to prep for a possible career change to "AI" and was not sure what the best course of action was. I still work full time, plus not being very good with traditional learning systems, I have ruled out degree programs. This video gave me a great confidence boost that the route I was planning could still be a feasible option to enter into the field. While it may not be as easy, it should be worth the effort. Thanks David!

Thank you!

Excellent video. Discussion that focuses on practical and well grounded viewpoints.

this is great stuff, simply explained. need more, thanks.

Great episode, your point at 25:52 really hit home. I started my Computer Science journey back in 2010 at a local community college, life happened, and I didn't graduate until 2023. My largest regret was ignoring AI or rather aspects of it (such as machine learning) for all that time until ChatGPT 3 went live back in November of 2022. The computing landscape has changed so much from when I started in 2010 its startling but I'm hopeful and as you mentioned in your Top 5 skills video, always have to adapt and keep learning. I graduated hoping to get an IT job as my plan B but the landscape shifted and as a result I've had to pivot as well. Thanks, David, for your content I may not watch everything, but when I do watch I always learn or take something positive from it.

Congratulations for the video,thanks for your inoformation....🙏🤝

Amazing calab, hands down two of the best!

Thank you good sirs!

Thank you for this podcast

Dr Mike...yes please. It would be great if you created a course. I watched content on the computerfile channel and it was great

Definitely a +1 for Dr. Mike's course!

So right on!

I am a fan of Mike (Computerphile). Thank you for a good talk.

I'm loving this interview.

Great episiode David! Great to see Mike as well! AI is here to stay and getting the building blocks early are critical.

Nice overview!

This was informative for good reason, no need to judge content as it seems fair to use. Good interview

This was quite eye-opening, though I feel too old to learn and get in on this. I'm not looking to necessarily change careers. I just want the knowledge to better leverage AI in my life and in the pharmacy where I work.

Hi! Thanks for the great video. I'd like to ask whether you can suggest places to keep up to date with latest information about these topics - blogs? Articles? Can you suggest any? Thanks!

mike really should create a course, ive been following computerphile and i love him talking about things, very straightforward

David always has some very informative videos. Don't stop David, you're rockin it. This was a great guest, he was also very helpful.

@David , thank you I love the talks between you Dr and OTW.

Hey David this absolutely amazing! Thank you so much. I needed some advice, im a junior aws cloud engineer, i was looking at DevSecOps, as i wanted to eventually specialise in security, do think this is worth it in the long run and would you be able to give some advice on where to start and what courses to do? Any advice would much appreciated.

David, this episode is fire!! 🔥🔥 I've been wanting to learn AI for the past year, but with all the media hype, I wasn't sure where to start. Thank you for giving me a roadmap.

Couldn't have clicked on this video any quicker, computerphile is a great channel as is yours David 😊

Thanks David. Great stream about AI

Thousand percent for anyone starting out. I did not know it at the time but I had a lecturer who told me to do a project on neural networks so I did. 1995. 2nd year maybe? Did not understand. Also in my final year these same people suggested to use websock or some windows socket library. TCP/IP was the norm shortly after. GPTs are happening. Get on board.

Great video. Thank you to both of you. I appreciate the more balanced perspective Mike puts onto all this recent AI hype where so many are saying "we're going to get AGI and ASI in a year or less". Definitely worth watching the whole thing but for those interested in Mike's summary of the road map and the video summary in general, check out 42:53

Mike is so humble. Can't wait to see his courses

Damn this is very encouraging, Mike of Computerphile generally has the same vibe as David Malan from the Harvard CS50, very passionate with Computer Science.

@davidbombal I am getting into tech learning python now, did pretty well in calculus 1, would getting into AI/ML or cybersecurity be better. Love any input I’m torn between what direction to take.

I think the road map for ai is simple, make it free, create a need for it, take it away, and charge monthly amounts for use, then as it becomes harder with gpu power to keep stable, charge per search

Two of my idols in the same video!! Great content!!

What a work rate these past few days!! David Bombal is an absolute gift to humanity!

Absolutely make a course!

The ai will most likely become better and better at understanding your prompts as well. Just like any other source you train it on. So I have some trouble to see why you need to learn the underlying mechanics

Thanks!

The most useful ai video/ interview ever, for a changing career person like me.

real y this gentelman should give some courses so clearly explained thx David

Insightfull ❤

I'm liking commenting and subscribing so that Mike creates a course

Many engineering systems are intended to be isomorphic. If the prompt is the same, is the result the same or have the AI nodes changed weight and the result is different? Does the model train with every prompt? Very good discussion, thank you for putting this video together.

Def please make a course!!!

By watching your videos David, I am starting to grasp the importance of AI to our society. Something that is importance to the welfare and advancement of our society will contain many jobs on all levels. I am looking at a new career and money making opportunity. I am enthusiastic about learning the basics of AI, Python and PyTorch and getting involved in this field in a big way. And thank you Mike for sharing all your knowledge and separating the practical from the hype.

Hi!! I was planning to learn the cloud computing for Cyber security and get a certification as a beginner, so which is the path and where do i need to start and which is the best platform. Can you please provide a RoadMap and resources please.

Interesting topic. AI will help us in many ways. Thank you

Thanks

Mike online course...yes please.😁👍🏽

Thank you

it's super impossible to leave loving technology when these rockstars of tech meet !

Overall, the video provides valuable insights and guidance for individuals interested in learning AI, emphasizing its practical applications, available resources, and the importance of foundational knowledge in Python and AI concepts. The speaker's expertise and willingness to share knowledge are appreciated, contributing to a supportive learning community in the field of AI.

Loved this video, thank you @DavidBombal 🙏🏽

Would you recommend going the certification route in AI? Like the AZ-102? Or would you recommend learning Python first before getting certified? Or is getting certified even necessary?

i think a great format would be a "beginner object detection on custom dataset with yolo, int8 quantization and deploy" or "OpenAI Assistant NextJS" but not one person, more like a podcast format, where he explains and goes through the basics and explaining it...

By the time someone with little to no knowledge of programming and machine learning gets to a level where they can actively and sufficiently contribute to the field, the tech will likely be sufficiently advanced to a level where it makes whatever has been learned irrelevant. Such is the speed of exponential growth, Machines will be programming themselves based on the verbal inputs from humans and we are almost there now with this with things like co-pilot and LAM's.

On 25 March 1925, Baird gave the first public demonstration of televised silhouette images in motion, at Selfridges's department store in London. How Far we've come!

I think for this year we will focus on video and also getting image and text generation even better.

Thanks Mike, thanks David…

Yes Mike, please write a course.

How does grounding work and fact finding on outputs. Surely this is context driven but are their guidelines?

Your channel is too GOAT'd in advice for aspiring tech devs

Is that a Roland TD-17 in the background? nice.