if I had to start over now as a developer I wouldn't waste time on traditional boot camps or CS degrees there's a faster way and I know it because over the past 5 years I've went from being an absolute beginner to a senior software engineer from making $0 to over $700,000 in my career I've L multi-million dollar projects while working in some of the best offices in the world and now I'm helping thousands of developers do the exact same with this YouTube channel every single day there is a new AI Tech or model that is
dropping and you're sitting there thinking what am I supposed to learn I get it I see your comments and after helping a lot of my students become C Benders I realized something most people are stuck with a 2020s mindset they're learning outdated skills while the world has already moved on but don't worry alhamdulillah our community the Cod Bender saw this coming in this video I will show you the exact road map that I would follow to become an AI developer this year the first thing we have to do is that I have to clear up
a massive misconception because a lot of people get this wrong an AI developer is not an AI researcher in a lab code like training neural network works it's also another machine learning engineer who's building new models from scratch an AI developer is simply a full stock software engineer who knows how to utilize those AI Technologies and apis to build incredible apps most companies aren't going to build their own AI models they don't need that think about it like companies like open AI entr Tropic Google they already spend billions on this so most businesses in the
world they will just leverage on the models that were already created what they need is developers who can take those existing models and integrate them into their products and workflows and this is where AI developers come in while machine learning Engineers are competing for a handful of jobs at those big tech companies that are training new models every business is going to need AI developers why because every software is about to be rebuilt with AI think about it customer service need AI chatbot marketing teams need AI content generation sales teams need AI automation product teams
need new AI features and guess who is going to build all of this for them it's not machine learning Engineers they're going to hire developers who know how to integrate AI models effectively these are the new age software Engineers also called AI developers this is why we have a golden window of opportunity right now the demand is exploding but most developers they're still stuck in a pre- aai mindset while they're still debating whether to use react or angular you're going to learn how to build the future now I know this opportunity sounds exciting but a
lot of people are actually lost on what skills they need to learn concretely so I've created a complete road map to help you phase one you need to build the general skills of a full stack developer this is going to take you around 3 to 6 months depending on how fast you are but don't rush it these are the roots of your AI development tree you can think about the skills you need to learn as building a house so first you have to learn front end Technologies it starts with HTML which is like the foundation
of a house then you have CSS which is like the walls and the designs you have JavaScript which is like the electrical wiring so it's what gives like life to the house you have react which is your smart home system then you need to learn backend Technologies like noj which is your power station and then the database like postgel which is going to be your storage house to make it easy for you I've created a full guide on how to learn those skills I'm going to link it below it's completely for free after you go
over the first part the foundations you're still a regular developer there's nothing AI related there so how do you supercharge your skills that's when we're entering Phase 2 the AI fundamentals let's start with what most tutorals completely ignore understanding how AI works and no I don't mean any complex math I'm talking about just having an overall basic understanding of how LMS work this phase is kind of like when you're learning to speak a new language you need to learn the grammar so how LM work before you can actually write poetry so that's like more advanced
a applications you can think of llms like martial arts experts who have read every book you can read about Combat Sports so they can theoretically recreate any technique that they have seen but they need proper instructions to apply it in a real world scenario and the better the instructions are the better it will perform this is why prompt engineering is important most developers they skip that part they just treat AI like a magical black box but remember you're not just any developer you're a codebender and we understand that master or tools with a basic prompt
you can get a website that looks like this with a more advanced prompt you can get a website that looks like this see big difference same model but completely different results this is your first Edge learn prompt engineering if you want to learn it together with AI development in general I highly recommend you check out scriba they have a ton of courses available but my favorite one there is the AI engineer path full disclaimer they actually reached out to me to sponsor this video but I've actually bought their course a year ago and absolutely love
it so I was very happy to recommend them in my opinion they're one of the best resources to learn AI development and they're also giving a 20% discount to everyone who clicks the link in description the special link they gave me and you sign up to their Pro tier most of their courses are actually available for free so you can try the platform before subscribing or paying anything they have a very extensive curriculum you're going to learn about prompt engineering apis open source models how to build rag applications AI agents and more the interface is
super interactive which makes Learning Easy you have an ID in your browser there's a video playing in the background there's a voice over that is guiding you through every step and you can easily apply every new skill that you're learning I highly recommend you go through this it will simplify your AI Journey a lot so check out the link in the description to get access to it now this is where it gets interesting you remember those AI skills that I mentioned earlier it's time to add them to Your Arsenal this is phase three learn AI
apis this is where Theory meets practice you can think of a apis like having a team of specialized experts at your disposal my students have utilized a lot of those apis to build AA apps in days apps like interview GP where you can upload your resume a link to a job description and then it's going to create a personalized interview for you they also created logo generators where you can describe your Brand's Vision pick a style and then it's going to generate a bunch of logos they created a chat of PDF app where you can
upload the PDF and then start chatting with it what is the PDF about the PDF is a technical report from open AI about the development of GPT minus 4 my recommendation for you is to start with the open AI apis in particular their text models this is the most popular API out there this is your foundation go over the official openi API Docs that's your main reference and here I want you to learn about function calling tooling and prompt caching next you'll move to the doly API that's your visual Powers it will allow you to
create assets logos and images once you have learned two different apis you can combine them together for example I build this children book AI generator that creates a book with text and images that is customed to every child once you have gone through the main apis that opena has you can Venture through other models like entropic with their clothe models mistal and test open source models that are available on replicate or hugging face everything that shown you so far is what I call level one air development but now we're going to show you what real
air power looks like we're entering phase four Advanced AI Frameworks this is where you transcend from a regular developer to an AI architect and one concept you need to learn is rag retrieval augmented generation think of rag like building a custom brain for your AI regular AIS are basically like general knowledge experts a rag enhanced AI is like an AI that has read your specific data like your company data for example so it knows the specifics that you wanted to know and it can perform a lot better for your use case for example one of
my students built a rag chatbot for an education company called Bina the chatbot could answer specific questions about their education program and it could even pinpoint to time stamps in the video lectures he sent the app to them they liked it a lot and they're currently interviewing him to join their engineering team to build a rag AI app you need to learn three things first is embeddings which is a mathematical representation of a piece of data into an AI read aable format then you need to learn how to use Vector database which are a particular
type of database that is used to store embeddings and finally you need to learn how to split large knowledge files into chunks that are easily processed by the AI and turned into embeddings one tool you can use for this is length chain but you could also just do it manually now I have a bonus section for those of you who want to go further there are two things that you can learn one is AI agents AI agents are the future we're all going to have a dozen of a agents performing specific tasks for us so
if you can learn it now it's going to give you an advantage compared to other people for this I can recommend you check out crew AI it's a framework to build AI agents and automate multi-agent workflows next you can learn about fine-tuning which is a process where you take an existing Ai and you train it based on your specific use case for example if you want the AI to speak in a certain tone or to write with a specific style but you only need this in very specific use cases in most use cases rag is
going to be enough for you I hope you benefited from discod Benders remember when you do the work others won't you'll get the jobs and opportunities they can't but I need to warn you about something the window of opportunity for AI is short so you need to jump into it now if you want to secure a job I've created a complete guide to help you win in this market and get a job as an AI developer check out the video right here thank for watching and asalamu alikum
