How to level up in Gen AI

# AI and Generative AI: A Comprehensive Guide to Learning and Certification

## Introduction to AI and Generative AI

Welcome back to the channel! Artificial Intelligence (AI) is reshaping the world around us, from automating tasks to solving complex problems. In recent years, large language models (LLMs) have gained significant traction following the launch of ChatGPT in late 2022. This breakthrough has led to the introduction of buzzwords like LLMs, Transformers, Rag, and AI agents, all of which are collectively known as generative AI or gen AI. With technology evolving at an unprecedented pace, many individuals are eager to dive into this field and make their mark. However, in such a competitive space, having the right skill set has become increasingly important—and challenging.

## The Importance of Skill Sets in AI

Given the rapid advancements in AI, it is crucial to stand out from the crowd. Today, we will explore how you can gain a competitive advantage in this exciting and fast-moving field of AI. One way to showcase your skills is by building a portfolio of projects that highlights both the breadth and depth of your AI expertise. For this path, you’ll need intuition, persistence, drive, and consistency to follow through. Fortunately, there are ample project ideas and walkthroughs available on this YouTube channel.

## Learning Through Courses and Certifications

If you prefer a more guided approach to learning, education with instructors and a structured syllabus can serve as a beacon for acquiring new skills. While the creator of this video does not currently offer a course on AI, NVIDIA has crafted courses and certifications in generative AI, accelerated computing, and 3D simulation. These resources are designed by industry experts and provide a structured approach to learning.

NVIDIA has kindly agreed to provide a discount code for viewers of this channel, offering a 10% discount on their courses and certifications. Additionally, there is an opportunity to enter a giveaway to rent a free course or certification. For details on the discount code and how to participate in the giveaway, stick around until the end of the video.

## Benefits of Learning Through Courses and Certifications

Learning can be achieved through various modalities, such as reading, working on projects, listening to lectures, or podcasts. The advantage of crafting your own learning path is that you can tailor it to your needs. However, learning from a course or certification created by industry experts allows you to hit the ground running and apply your newfound knowledge immediately.

Courses and certifications from platforms like NVIDIA offer additional perks, such as access to tools, resources, and networking opportunities with their student base. It is also worth noting that NVIDIA provides free training for higher education students through their University Ambassador and teaching kits programs.

## Exploring NVIDIA’s Courses and Certifications

To explore NVIDIA’s courses and certifications, visit the NVIDIA certification link provided in the video description. You will find a total of four certifications:

1. **AI Infrastructure and Operations**: Ideal if you are more interested in hardware or infrastructure.

2. **InfiniBand**: Suitable for those focusing on high-speed networking.

3. **Generative AI and Large Language Models**: Perfect for those interested in the latest advancements in gen AI.

4. **Multimodal Gen AI**: Designed for those exploring AI across multiple modalities, such as text, image, and audio.

After selecting a certification that interests you, if you wish to take the exam, click on the link to assess your workspace environment. Detailed information about the requirements is available in the FAQ section at the bottom of the page.

## A Deep Dive into NVIDIA’s Generative AI Certification

Let’s take a closer look at NVIDIA’s Generative AI and Large Language Model certification. This certification is designed for professionals looking to gain expertise in generative AI, particularly in large language models. The exam consists of 50 questions, which you will have 60 minutes to complete. It is conducted online with remote proctoring, and the cost to take the exam is $135. Upon passing, you will receive a digital badge that you can share publicly.

The certification covers a wide range of topics, including:

- **Fundamentals of Machine Learning**: An introduction to machine learning and neural networks.

- **Prompt Engineering**: Techniques for crafting effective prompts to guide AI models.

- **Alignment Data Analysis Visualization Experimentation**: Methods for analyzing data, visualizing insights, and conducting experiments.

- **Data Preprocessing Feature Engineering Experiment Design Software Development**: Skills in preprocessing data, engineering features, designing experiments, and software development.

- **Python Libraries for Large Language Models**: An in-depth look at Python libraries relevant to LLMs.

- **Integration and Deployment**: Best practices for integrating and deploying large language models.

## Learning Paths for Different Roles

NVIDIA offers customized learning paths depending on whether you are a developer or an administrator. For developers, the focus is on accelerated computing, while for administrators, it involves managing servers and infrastructure. The certification also covers various domains, such as data science and gen AI, which are currently hot topics in the industry.

The learning path includes four major segments:

1. **Foundational**: Start with the “Gen AI Explained” course, a 2-hour self-paced fundamentals course that covers the basics of large language models and generative AI.

2. **Application**: Gain hands-on experience with courses like “Getting Started with Deep Learning.”

3. **Generative AI**: Dive deeper into topics such as prompt engineering, RAG (Retrieval-Augmented Generation), and diffusion models for image generation.

4. **Deployment**: Learn how to deploy large language model applications at scale.

## Course Availability and Costs

Some of the courses are self-paced and free, while others may incur a nominal fee or higher costs depending on whether they are live workshops led by instructors. All courses can be accessed with an internet connection, allowing you to learn at your own pace and convenience.

Upon completing the course, you will receive a certification badge that is digitally verified and sharable on platforms like LinkedIn. This recognition can help you stand out in the industry and enhance your career prospects.

## Conclusion and Giveaway

To get started, visit the NVIDIA website and explore their free courses. For example, the “Gen AI Explained” course is no-code and provides a high-level overview of generative AI. Logging in is straightforward—simply provide your email address to enroll.

As always, the best way to learn gen AI is by doing. So, dive into these resources, complete the courses, and enhance your skill set. For those interested in the giveaway, take a free self-paced course, document your progress with a photo, and submit it via the provided Google form. The winner will be selected, and the certification will be awarded.

In conclusion, whether you are building a portfolio of projects or pursuing structured education through NVIDIA’s certifications, there are ample opportunities to gain expertise in generative AI. Embrace this journey, stay curious, and enjoy the process of learning and growing in the field of AI.

"WEBVTTKind: captionsLanguage: enwelcome back to the channel artificial intelligence or AI is reshaping the world around us from automating tasks to solving complex problems particularly in recent years large language models or LMS has gained a lot of traction after the launch of chat gbt in late 2022 after which buzzword like LS gbt Transformers Rag and AI agents have been introduced and so all of this are collectively known as generative AI or simply as gen AI given the pace at which technology is evolving many are eager to dive in and make their mark But in such a competitive space having the right skill set has become ever more important and also challenging So today we're take a look at how you can gain a competitive advantage and stand out from the crowd in this exciting and fast moving field of AI you know I always say at the end of my videos that the best way to learn is to do but how do you show others what you've learned firstly you could build a portfolio of projects that could showcase the breath and also the depth of your AI skill sets so for this path you'll rely on your intuition persistence drive and consistency in order to follow through it is worthy to note that there are ample project ideas and walk through on this YouTube channel secondly if youd prefer a more guided approach and there's education where you have instructors and core syllabuses to serve as beacons that you could follow in acquiring these new skill sets unfortunately I don't currently have a course that I've created on this topic so if this more structured approach to learning AI sounds interesting to you then you might be interested in some of the course and certification offers from Nvidia they are crafted by industry experts in generative AI accelerated Computing and 3D simulation I'm glad that Nvidia has agreed to provide a discount code for viewers of this channel so stick around until the end of the video for details on the discount code and also on how you can enter a giveaway to rent a free course or certification and without further Ado let's di in before proceeding let's take a look at the general benefits of learning through courses and certification I agree that learning can be achieved through many ways and using different modalities such as reading working on projects listening to lectures or podcasts Etc the advantage is that you're crafting your own learning path and as such may require a lot of upfront planning and exploration on your part in cherry-picking topics to learn however learning from a course or certification that's created by industry experts you'll be able to hit the ground Runing and apply your new found knowledge so whichever path you take you'll be able to enhance your skill set that you could use to enhance and advance in your career however course and certification offerings from platforms such as Nvidia gives you additional perks like access to tools resources and networking opportunities with their student base it is worthy to note that Nvidia has free training for higher education students so you could take advantage of free instructor-led training offers on campus from nvidia's University Ambassador and teaching kid programs all right and now let's take a look at some of these courses and certification from Nvidia so what you want to do is first head over to the Nvidia uh certification link uh links will be provided in the video description so here you're going to see that there are a total of four certifications from Nvidia you have the AI infrastructure and operations so if you're more into like Hardware into the infrastructure side um then this certification might be interesting to you um as well as the infin band here as well and there is the generative Ai and large language models as well as the multimodal gen Ai and then after selecting a certification that you're interested in and if you want to take the exam then you could click here for them to assess your uh workspace environment and they have a fq section here at the bottom which will provide you all of the details um that you might have questions about so we're going to take a further Deep dive into the Gen Ai and large language model uh certification so if you click here it should bring you up to this page so this is the Gen AI large language model certification from Nvidia there's some additional information here so you're going to see that when you're ready and if you have already prepared for the contents for this examination the certification will be comprised of 50 questions and you'll be allotted 60 Minute in order to answer them and do note that the exam will be online and there will be remote pooring as well so the cost to take the certification is $135 and after completing and successfully passing the exam you'll be given the digital badge that you could share uh publicly so let's have a look at some of the underlying contents here so here are some of the topics that are covered in the exam like the fundamentals of machine learning neuron networks promp engineering alignment data analysis visualization experimentation data pre-processing feature engineering experiment design software development python libraries for large language model and also like integration and deployment so you're going to see here that the contents for the certification is outlined in this particular area and if you click here you should be able to be provided additional information for how you could study for the exam so before going there let's take a look at the blueprint so if you take a birth side view this like the curriculum of the certification so you're going to have gen AI explained um course which will provide you like the necessity of what is large language model what is Gen so all of this will be taught in 2hour course and it's for free so if you want to have a look at the content you click here it'll tell you what the course will be covering and for knowledge about deep learning machine learning um it will be covered in subsequent um segment here you could either do a self-paced 8 Hour course or you could also do a workshop as well so it's going to cover essentially all of the top topic across the board in the columns here like approximately 30% of the exam will be on core machine learning and AI 24% will be on software development 22 on experimentation um you have data analysis visualization and also like trustworthy AI as well there'll be a course on Transformer based natural language processing you could take a six hour course for that and Etc including like prompt engineering augmenting like rag retrieve augmented generation like the theory part and then you have like the Practical part as well and how you could rapidly deploy uh develop um large language model apps and they have gen with diffusion models for image generation and then you have refinement customization of the large language model um all of these resources are also provided here for you to review as well let's have a look in the next part here so this one you could head over to the link provided um in the exam study guide let's have a look so so these five topics here machine learning AI data analysis experimentation software development trustworthy AI they're provided here in the study guide so this is like some additional information on the ideal you know job role for those passing this particular certification what they are able to do and you could you know when you are looking for a job or Row in this area so all of these are the essential job responsibilities that you will be gaining um when completing this certification so it is a pretty interesting um curriculum that will keep you updated In This Very Cutting Edge um AI topic field so all of these will be you know provided in the courses mentioned above in the Gen and promp Engineering courses so if you want to have knowledge here so these two courses will be the recommended training data analysis you could gain from these excellent courses here experimentation so they will be distributed across several of the courses that they're teaching um and yeah there are and you can follow along here let's have a look at the learning path for Gen Ai and large language model so let's take a look here take a look at the birth ey view of the entire certification you could see that the course is distributed into four U major um segments the first being foundational so it includes gen explained course which is self-paced fundamentals of deep learning getting started with deep learning and then there is more like more granular look um into the application side so you'll have you know these four courses here and then there'll be additional 10 courses on um gen and large language model the large collection for you to choose from um you to gather the skills in this area and these are the production like the deployment um of the models and also building apps at scale right pretty interesting and a pretty good um overview look into this gen um learning path all right and so more learning paths let's have a look so there are two paths you know like one path for developers one for the administrators like for me personally I think the the one for developer looks interesting to me um if you're more into like like you know administrating um like servers and and infrastructures then this might also be interesting to you as well so let's have a look at the developer side here so we have accelerated computer training and for Developers for administrators it'll be written here so they provide you like with customized learning paths um depending on which um segment that you're interested in and also which p that you're interested in whether it be developers or administrators so U very handy to take a look further um either whether it be data science or you know gen which I think is a very hot field right now um and you're going to see that there's a lot of um topics um courses in the four uh categories here as I've already covered like the foundational application gen and uh the deployment so some of the courses here are free some are for a nominal fee um While others might have um higher costs o to the live nature of the workshop um being led by instructors so if you're interested check it out so let's have a look further yeah so what's pretty interesting here is that um some of the cour Es are self-paced um which means that you could work a schedule or actually take the course around your schedule and that you are in full control over um so you could essentially take and learn um the courses any time in anywhere and so all you really need is an internet connection so these are all of the self-paced courses so if I'm interested in gen large language model so all of the these courses are available um at self piece for me and so some of them are free um some of them relatively cheap um yeah so I think it's pretty interesting to take a deeper dive into yeah once you have completed the course you'll be awarded this badge um and then it'll be digitally verified on the internet via the Pearson qu uh provider um and there certification here will be um you know sharable on social media like on LinkedIn which will be prominently displayed in your profile um so yeah it's another way uh for you to get recognized by others in the industry and also um in uh roles that you're interested in that requires AI this is a great way uh to acquire the skill set and so yeah all of the links here are provided in the video description all right so let's have a look at one of the course let's have a look at the Gen explaining course all righty so I'm already logged in so logging in is as easy as signing up um just provide your email and you're all set and so here are information about the course learning objectives some of the topics that are covered mention here that the this is a no coding course so it provides only the high level look very good let's click on the enroll now so this is the video hello everyone and welcome to the Deep learning Institute uh phenomenon that happened where we start um robotics that are awesome so it has videos here and these are the various topics these are like the general um information part the application side other modalities like you know image video audio um which is in addition to um text some of the challenges and opportunities of gen um summary of the course and also um yeah feedback for you to provide awesome so you could keep track of your progress okay looks very good let look at the bookmarks updates and the course cool and so yeah taking additional courses in gen is a matter of just I know clicking on it clicking on en roll and then you're in it's pretty simple awesome so these are information on setting the environment and it will be mentioned in the next two videos cool okay so very intuitive um yeah check it out let me know how it goes and so if you have any questions comments feedbacks just drop it in the comment section this Ken giveaway Nvidia has agreed to provide 10% discount to all of their courses certification at instructor Le Workshop if you use the discount code of data professor at checkout and also to enter in the giveaway you need to take a free self-paced course afterwards fill out the Google form and the link will be provided in the video description and so in this Google form you'll have to provide a photo for proof that youve taking the course and then finally I'll pick a lucky winner and have it sent your way and as always the best way to learn gen is to do geni and please enjoy the journeywelcome back to the channel artificial intelligence or AI is reshaping the world around us from automating tasks to solving complex problems particularly in recent years large language models or LMS has gained a lot of traction after the launch of chat gbt in late 2022 after which buzzword like LS gbt Transformers Rag and AI agents have been introduced and so all of this are collectively known as generative AI or simply as gen AI given the pace at which technology is evolving many are eager to dive in and make their mark But in such a competitive space having the right skill set has become ever more important and also challenging So today we're take a look at how you can gain a competitive advantage and stand out from the crowd in this exciting and fast moving field of AI you know I always say at the end of my videos that the best way to learn is to do but how do you show others what you've learned firstly you could build a portfolio of projects that could showcase the breath and also the depth of your AI skill sets so for this path you'll rely on your intuition persistence drive and consistency in order to follow through it is worthy to note that there are ample project ideas and walk through on this YouTube channel secondly if youd prefer a more guided approach and there's education where you have instructors and core syllabuses to serve as beacons that you could follow in acquiring these new skill sets unfortunately I don't currently have a course that I've created on this topic so if this more structured approach to learning AI sounds interesting to you then you might be interested in some of the course and certification offers from Nvidia they are crafted by industry experts in generative AI accelerated Computing and 3D simulation I'm glad that Nvidia has agreed to provide a discount code for viewers of this channel so stick around until the end of the video for details on the discount code and also on how you can enter a giveaway to rent a free course or certification and without further Ado let's di in before proceeding let's take a look at the general benefits of learning through courses and certification I agree that learning can be achieved through many ways and using different modalities such as reading working on projects listening to lectures or podcasts Etc the advantage is that you're crafting your own learning path and as such may require a lot of upfront planning and exploration on your part in cherry-picking topics to learn however learning from a course or certification that's created by industry experts you'll be able to hit the ground Runing and apply your new found knowledge so whichever path you take you'll be able to enhance your skill set that you could use to enhance and advance in your career however course and certification offerings from platforms such as Nvidia gives you additional perks like access to tools resources and networking opportunities with their student base it is worthy to note that Nvidia has free training for higher education students so you could take advantage of free instructor-led training offers on campus from nvidia's University Ambassador and teaching kid programs all right and now let's take a look at some of these courses and certification from Nvidia so what you want to do is first head over to the Nvidia uh certification link uh links will be provided in the video description so here you're going to see that there are a total of four certifications from Nvidia you have the AI infrastructure and operations so if you're more into like Hardware into the infrastructure side um then this certification might be interesting to you um as well as the infin band here as well and there is the generative Ai and large language models as well as the multimodal gen Ai and then after selecting a certification that you're interested in and if you want to take the exam then you could click here for them to assess your uh workspace environment and they have a fq section here at the bottom which will provide you all of the details um that you might have questions about so we're going to take a further Deep dive into the Gen Ai and large language model uh certification so if you click here it should bring you up to this page so this is the Gen AI large language model certification from Nvidia there's some additional information here so you're going to see that when you're ready and if you have already prepared for the contents for this examination the certification will be comprised of 50 questions and you'll be allotted 60 Minute in order to answer them and do note that the exam will be online and there will be remote pooring as well so the cost to take the certification is $135 and after completing and successfully passing the exam you'll be given the digital badge that you could share uh publicly so let's have a look at some of the underlying contents here so here are some of the topics that are covered in the exam like the fundamentals of machine learning neuron networks promp engineering alignment data analysis visualization experimentation data pre-processing feature engineering experiment design software development python libraries for large language model and also like integration and deployment so you're going to see here that the contents for the certification is outlined in this particular area and if you click here you should be able to be provided additional information for how you could study for the exam so before going there let's take a look at the blueprint so if you take a birth side view this like the curriculum of the certification so you're going to have gen AI explained um course which will provide you like the necessity of what is large language model what is Gen so all of this will be taught in 2hour course and it's for free so if you want to have a look at the content you click here it'll tell you what the course will be covering and for knowledge about deep learning machine learning um it will be covered in subsequent um segment here you could either do a self-paced 8 Hour course or you could also do a workshop as well so it's going to cover essentially all of the top topic across the board in the columns here like approximately 30% of the exam will be on core machine learning and AI 24% will be on software development 22 on experimentation um you have data analysis visualization and also like trustworthy AI as well there'll be a course on Transformer based natural language processing you could take a six hour course for that and Etc including like prompt engineering augmenting like rag retrieve augmented generation like the theory part and then you have like the Practical part as well and how you could rapidly deploy uh develop um large language model apps and they have gen with diffusion models for image generation and then you have refinement customization of the large language model um all of these resources are also provided here for you to review as well let's have a look in the next part here so this one you could head over to the link provided um in the exam study guide let's have a look so so these five topics here machine learning AI data analysis experimentation software development trustworthy AI they're provided here in the study guide so this is like some additional information on the ideal you know job role for those passing this particular certification what they are able to do and you could you know when you are looking for a job or Row in this area so all of these are the essential job responsibilities that you will be gaining um when completing this certification so it is a pretty interesting um curriculum that will keep you updated In This Very Cutting Edge um AI topic field so all of these will be you know provided in the courses mentioned above in the Gen and promp Engineering courses so if you want to have knowledge here so these two courses will be the recommended training data analysis you could gain from these excellent courses here experimentation so they will be distributed across several of the courses that they're teaching um and yeah there are and you can follow along here let's have a look at the learning path for Gen Ai and large language model so let's take a look here take a look at the birth ey view of the entire certification you could see that the course is distributed into four U major um segments the first being foundational so it includes gen explained course which is self-paced fundamentals of deep learning getting started with deep learning and then there is more like more granular look um into the application side so you'll have you know these four courses here and then there'll be additional 10 courses on um gen and large language model the large collection for you to choose from um you to gather the skills in this area and these are the production like the deployment um of the models and also building apps at scale right pretty interesting and a pretty good um overview look into this gen um learning path all right and so more learning paths let's have a look so there are two paths you know like one path for developers one for the administrators like for me personally I think the the one for developer looks interesting to me um if you're more into like like you know administrating um like servers and and infrastructures then this might also be interesting to you as well so let's have a look at the developer side here so we have accelerated computer training and for Developers for administrators it'll be written here so they provide you like with customized learning paths um depending on which um segment that you're interested in and also which p that you're interested in whether it be developers or administrators so U very handy to take a look further um either whether it be data science or you know gen which I think is a very hot field right now um and you're going to see that there's a lot of um topics um courses in the four uh categories here as I've already covered like the foundational application gen and uh the deployment so some of the courses here are free some are for a nominal fee um While others might have um higher costs o to the live nature of the workshop um being led by instructors so if you're interested check it out so let's have a look further yeah so what's pretty interesting here is that um some of the cour Es are self-paced um which means that you could work a schedule or actually take the course around your schedule and that you are in full control over um so you could essentially take and learn um the courses any time in anywhere and so all you really need is an internet connection so these are all of the self-paced courses so if I'm interested in gen large language model so all of the these courses are available um at self piece for me and so some of them are free um some of them relatively cheap um yeah so I think it's pretty interesting to take a deeper dive into yeah once you have completed the course you'll be awarded this badge um and then it'll be digitally verified on the internet via the Pearson qu uh provider um and there certification here will be um you know sharable on social media like on LinkedIn which will be prominently displayed in your profile um so yeah it's another way uh for you to get recognized by others in the industry and also um in uh roles that you're interested in that requires AI this is a great way uh to acquire the skill set and so yeah all of the links here are provided in the video description all right so let's have a look at one of the course let's have a look at the Gen explaining course all righty so I'm already logged in so logging in is as easy as signing up um just provide your email and you're all set and so here are information about the course learning objectives some of the topics that are covered mention here that the this is a no coding course so it provides only the high level look very good let's click on the enroll now so this is the video hello everyone and welcome to the Deep learning Institute uh phenomenon that happened where we start um robotics that are awesome so it has videos here and these are the various topics these are like the general um information part the application side other modalities like you know image video audio um which is in addition to um text some of the challenges and opportunities of gen um summary of the course and also um yeah feedback for you to provide awesome so you could keep track of your progress okay looks very good let look at the bookmarks updates and the course cool and so yeah taking additional courses in gen is a matter of just I know clicking on it clicking on en roll and then you're in it's pretty simple awesome so these are information on setting the environment and it will be mentioned in the next two videos cool okay so very intuitive um yeah check it out let me know how it goes and so if you have any questions comments feedbacks just drop it in the comment section this Ken giveaway Nvidia has agreed to provide 10% discount to all of their courses certification at instructor Le Workshop if you use the discount code of data professor at checkout and also to enter in the giveaway you need to take a free self-paced course afterwards fill out the Google form and the link will be provided in the video description and so in this Google form you'll have to provide a photo for proof that youve taking the course and then finally I'll pick a lucky winner and have it sent your way and as always the best way to learn gen is to do geni and please enjoy the journey\n"