Day 11 | Salesforce AI Associate | AI Capabilities in CRM | AI Bootcamp | Sanjay & Nikita

okay we are live so hello everyone I am sanay Gupta I welcome you on sanj Gupta tech school so uh we are back with one more session on AI associate boot camp and I have Nikita with me so welcome Nikita on the platform thank you sir so this is our last session of this boot camp and the topic is AI capabilities in CRM so lots of topics are already delivered and uh this is also very important if you are going for uh AI associate certification so let's understand what uh AI capabilities are there uh for the CRM and U after learning all those Concepts the theoretically and uh attempting few quizzes I think you will be able to answer the questions those you will be facing in the uh certification exam okay so with this note I uh pass it on to Nikita so I think you can start with the session and uhu uh after completion of the session if you can brief U some key aspects that people can follow uh so that they can clear the certification so that would be helpful over to you hi everyone this is Nikita again and this is the again crucial topic that was AI capabilities in CRM we took it in the last because it's just 8% of the total syllabus so um it's just that you have to be very specific about this I'm going to explain you about the uh artificial intelligence implementations in the uh customer relationship management um you know aspect so you just have to be uh very specific about this you don't have to do a lot of things in that cuz if you will if you have seen the trail head platform it's just two topics in it uh and then there are multiple uh topics inside those two topics so I have shortlisted and briefly try to explain everything so if you understand this kind of video U sort of thing very nicely I think you will be able to get through secondly I'll also do some quiz questions with you that I have um on my word word PD so yeah I mean that's what we're going to do uh secondly there are a lot of people who have been asking about this uh what do you call it this word thing that we have uh you know all together we have accumulated all those questions in the you know the word so um of course we are going to share that up cuz we have got a lot of plans coming up because we are going to launch our master class and all uh so you know you will be seeing a lot of things that are coming up so probably after joining that you will be getting all those questions accumulated at a certain space um also if you want it specifically so you know sir can of course arrange that part for you all so yeah I mean we are trying to facilitate as much as possible so I mean let's get through this video as well and this is going to be the last one for this playlist for sure but then of course we will be delivering a lot of other lectures into uh other playlist also and in this aspect we are also going to do the sessions that will be in the master class uh way so yeah these things are coming up in the future let's dive into the session now so let's take a look on how AI in CRM has to play its role so artificial intelligence has significantly enhanced the CRM uh system by improving the efficiency personalization and customer experience so you know very well that in this case where artificial intelligence has influenced a lot of sectors then this sector how can this be refering from such kind of thing right so obviously we have got AI implementation in CRM as well and the first thing that you know Salesforce implemented because it has to implement Ai and CRM that was the that was through the assistant that it uh you know initiated that was the AI assistant that was Einstein and that's what we're going to discuss in just a couple of uh slides okay so first thing we're going to see that how AI is impacting CRM and then we'll see how the assistants are going going to help us uh deal with the uh things that are going to come up in this CRM sector okay so first is automation of the routine task we have got email responses where we you can see that AI can automate those responses to common customers inquiries saving time for customer service Representatives cuz you know a lot of time is saved if you do not do it personally however let the technical uh aspects or let the technical assistants do it for you so a lot of time is going to be saved for you so here it is going to help as help you as a helper sort of or an assistant sort of as just the literal name is in order to deliver all the intricacies of the you know Salesforce uh in the email responses so yeah I mean this is where its um implementation lies then you have data entry so again a lot of time has is consumed in uh in putting a lot of data so AI can automatically capture and log customer interactions and relevant data reducing the manual input errors right so in order to also nullify all the errors we are over here to introduce our AI assistant then you have predictive predictive analysis so there's customer Behavior prediction and sales forecasting so in customer Behavior prediction AI algorithms analyze historical data to predict the future customer Behavior such as purchase likelihood and CH risk so I have in uh in previous sessions have pretty much discussed all that uh predictive analysis when I was explaining you about uh when I was explaining you about this uh you know predictions and all when we were doing this U predictive AI so I taught you that we have to go through the history the historical data if we have to be very relevant about the future of any business and that's what is discussed over here also the customer Behavior U prediction right so how can you predict a customer's Behavior by by watching its uh watching his or her history of shopping of behaviors of how they deal with the you know money that they have right so with that respect you can easily analyze not you but your assistant would easily analyze all this stuff then you have sales forecasting of course the business needs sales so the leads the sales all of these are taken taken care of with the AI assistance so AI can improve the accuracy of sale Force cost sales force CS by identifying the trends and patterns in the data so yeah as I mentioned earlier also that machine learning is a way where you can analyze all the patterns and then all the repetitive things you can generally predict so that is where the sales forecasting can happen then you have personalizations so personalization means how to exactly have a personal um you know recommendation engine how to exactly have marketing campaigns aligned with the certain aspect because for every business a marketing campaign pays a lot of uh you know um it has got a lot of usages because if you have a good marketing campaign probably your product is going to serve to a larger audience and if you do not have marketing campaign as for the you know Market alignment then probably your product is going to be uh serving a very small unit of population right so Taylor recommendation would mean that AI can provide personalized product or service recommendation based on individual customer preferences and behaviors and customize marketing campaigns AI helps create highly targeted marketing campaigns by segmenting customers more effectively so now just imagine that if you have got a good product but you do not have a marketing campaign idea then certainly you are going to be nowhere in the market however if you will take help of this AI assistant that is going to help you out in creating all the marketing campaigns then probably what you have in your pocket is a good sales remedy right so if you have a sales remedy you probably have uh a lot of or a set of population that you can Target with all of your products correct so that's what a personalized marketing campaign would mean for a certain product right you have seen a lot of companies like Mortin and you know there's uh other this pedite they have got so many feol you have seen the marketing campaigns of of pite are super fantastic um um personally for me they have they have the you know the best implementations of all the emotional sense and you know creativity so pite stands first at their marketing campaigns for me so that's one of my favorite companies that I would Target for the marketing campaigns and like that your assistant can create marketing campaigns for your company correct so this is how it help you helps you now you you you can go to the enhanced customer service so the chat Bots virtual assistance of course they're going to enhance all of your customer service so you very well know what are chat Bots cuz we have discussed earlier that uh virtual assistance and chat boards they they are all the implementation of generative artificial intelligence so AI power chat boards can handle customer queries 24/7 providing instant support and resolving issues without human intervention then you have sentiment analysis again this word I have been briefed a lot I have you know discussed this sort of analysis in my previous sessions where I was telling you about you know if you have Instagram and there is a lot of bad commenting happening so Instagram is going to resist all those comments it is going to nullify those comments is not going to show anybody those uh irrelevant comments whichever is you know doing all this rubbish sort of thing over there so that's again sentiment analysis where AI can analyze customer feedback social media mentions to Gorge customer sentiment and identify the areas for improvement right so a lot of sentiment analysis has to be taken care of if you have to improvise on your business sales correct if you are producing a let's say a denim jeans in a market right and you know the quality matters a lot and if you are serving to a certain customer base so you know that um you know a lot of paid feedbacks wouldn't work however unpaid relevant feedbacks would work and if you are and gorging where exactly the customer or consumer is having the problem you are actually inclining your sales so you should be pretty sure in case of your product whatever feedback is going to come you have to gge it and now that is what the AI would do for you so again this should be the AI assistant should be very relevant it should know all the intricacies of sentiment analysis and only then can your business fly uh by co-piloting this AI assistant right because of course not you are the sole responsibility bearer of your business you have to have some people and some assistants around you so that they can do a lot of work for you then comes the custumer customer insights so we have got data analysis and customer Journey mapping so in data analysis AI can process vast amount of data to uncover the insights about customer preferences behaviors and Trends and then you have customer Journey mapping whereas AI helps track and analyze the entire customer Journey identifying the pain points and opportunities for the enhancement it is very literal as said you can easily get it in your mind then you can come to the lead score management yes one of the another major important sector where lead prioritization plays a role so AI can rank leads based on their likelihood to convert so you know that if my business is let's say education based so I need to have some leads for it right and so I'm going to do some demonstrations I'm going to do some sessions so that I can have certain uh you know inclination for the people so there will be 50% of people who might be trying to convert right and there could be 20% of people who would say that no we do not need the services 30% of the people can be dicey about the services that whether or not they should take it or not so my target will be those 50% of people who are wanting to Incline towards my business and want to learn from my U sessions right so AI would do this for you it is going to make it is going to Mark those people as uh you know the most um what do you say convertibles like the ones who are going to be converted at at a very instance very easily they're going to get converted so that is what the high potential clients would work as and not only for the education sector you you can take any fmcg sector you can take any sector for which you need to have clients right so you just have to have this AI assistant as an helper for you so that it can tell you which are the high potential clients which are the high potential customers for your business that's it and then you have automated follow-ups of course I cannot take this responsibility to constantly follow up right because I need to follow up for a lot of things so probably AI can schedule and send lot of followup messages to leads ensuring the timely communication so you can see it's of so much uh depth and so much help to us uh to use this artificial intelligence in our businesses the last two things are sales enablement and customer retention so sales enable enablement may you have next best action recommendation now um listen to this one very carefully because there's a good question in the quiz for this one so next best action recommendation AI can suggest the best actions for sales representative to take uh take based on realtime data and historical interaction so now the thing is that we might have had a lot of historical interactions in the past right that might not have resulted into some fruitful discussion at that moment of time however now there could be time where this could lead to some f uh this fruitful occupation or fruitful discussion uh right now so now this is what next best action recommendation helps in that you know it is going to help you in taking a decision whether or not those interactions are going to be helpful or not right and then you have optimized pricing of course you need to have very optimized pricing for your sessions now since I belong to the education industry um I would you know make it in this sort of that you know you have to have optimized pricing for the sessions and a couple of sessions you do the whole playlist that you do so yeah I mean this is what I can talk but of course if you are belonging to another segment of businesses then you can have optimized pricing for your products it should not look overpriced it should not look underpriced because both of them will have their own repercussions in overpricing they would not try to buy it and underpricing they would think that the quality might not be uh you know relevant enough or something that we would not like it so you have to be very having a very sense of tradeoff while you create the pricing for your uh company or your you know products so this is a very sensitive point where you should uh be working on so your AI assistant is going to help you in this one uh in a very beautiful manner I should say and then you have the customer retention so churn prediction and loyalty program optimization so in the churn prediction AI can identify customers at risk of leaving and suggest proactive measures to retain them them as a line suggests uh if uh my AI assistant is helping me to retain the customers then of course what can be more helpful than that right so it is going to Mark those points which I might not be doing in a well-mannered way so we are going to again reanalyze what are the potential things that we need to do and then we will see the repercussions if there's a possibility of client detention then of course this AI assistant has marked helpful to us and then we have another thing that's called loyalty program optimization whereas AI can personalize the loyalty programs to increase customer engagement and satisfaction so we can have some really uh cool like uh I'll share one uh incidence with you that is uh again I I kind of uh you know collect these experiences just to share with you so there's a company which is um which of course is a clothing company and they kind of sell cool stuffs that are related to the you know various any products I don't know if you are aware of anime things one of the anime thing was Naruto right so what do they do is they kind of create those in Mumbai this was a latest uh um like collaboration I should say and they had this movie and all of that thing that was all based on this latest character anime of Naruto right and if you are in a anime fan so you can certainly you know go into that so what do they do is they constantly create every month or maybe every quarterly they keep on creating these programs so that they know that you know this uh certain things the certain Vibe doesn't get killed right so this is what loyalty program optimization is and this is a huge click if you are in a business of product management and you are creating your own product so it is going to be very helpful for you to create the Loyalty program optimizations that was it about generic artificial intelligence in the CRM but now we going to see the Salesforce Einstein implementation that is again the AI assistant but um again relevant to the sales force platform so let's get started Einstein is your trusted AI assistant for CRM that is a customer relationship management so by infusing your CRM with artificial intelligence you can completely change the way your company understands and interacts with your customers across all functions and the industry that I have already explained you all the implementations of the artificial intelligence have been explained in a manner that you should have gotten them now we will talk about that what makes this AI assistant so smart exactly what are the technicalities that are making it so smart so all of this we have already studied in the technical aspect that we had done earlier so I'm going to reate for you so we have voice input that is your Savvy assistant has made its full-time job to actually listen to what you speak and when you speak then you have natural language understanding that is a subset of natural language processing because there were two subsets if you remember one was natural language understanding and one was natural language um uh generation yeah so these are the two subsets that you have to remember for Lifetime now it's one of the most uh important subset because um it is going to understand whatever you want to say so it's one of one thing for someone to listen to you and another to really hear what you're saying this technology means your assistant has the ability to understand what you are saying when you speak and to respond accordingly so voice uh output that's the next thing that is again natural language generation so there's nothing like the art of conversation this technology enables your assistant to help uh and to speak information back to you as opposed to displaying it on on the screen for you to read let's take an example of another Voice Assistant that we have which is Siri so when you activate Siri by saying Hey Siri it correspond or it corresponds us with the saying of like okay hey right so it is its own manner of saying or responding to us so that is what natural language Generation Um is right so if you want to activate it it is going to activate and respond you and then it is going to to uh if you're going to say that hey Siri play this song for me it is going to say playing that song that means it is understanding and relevantly responding to you that is what AI assistant would do for you then you have intelligent interpretation of course if it doesn't understand only what song am I wanting to play it is not intelligent but of course if it is understood what song exactly do I want to play that is an intelligent AI assistant so and anticipating your needs is the key this technology can figure out what it is uh you want next based on the context this is where the technical recommendation helps in so recommendation engine on Netflix recommendations on Spotify because if I am learning or if I am uh listening to a song uh that is a travel song it is going to give me another set of songs that are going to belong to the travel sector right if you are listening to a gym song you will be provided with lot of thrust songs or the ones that are having lot of energy so that you don't lose out on your energy right that is again the implementation of intelligent um artificial intelligent uh sorry artificial intelligence assistant so this is how it helps us then you have agency we are always looking for an overachiever this allows your assistant to take action on things that you didn't really uh necessarily request so a good example is assistant scheduled followup meetings based on unfinished actions items on meeting notes post meeting so this is how an agency works so now this can be replaced by the AI assistant where it is going to help you out with all the unfinished tasks and it is going to remind you very frequently that U that you know uh this is this was a task that was left and now you can reign with all of whatever that was left and so that you can complete it in the near future correct so these were the points where uh you saw the implementation of the artificial intelligence in the CRM right now we'll go to Ai and CRM so how does Einstein fit in actually so there are two things that are discussed over here one is Einstein out of the box application and the other one is Einstein platform so in the streen out of the box application we have ai is embeded into applications we surely and already use and thus it is inherently Sur surfaced throughout the Salesforce uh UI Einstein infuses AI into every Salesforce app that is sales cloud service cloud and so on whatever clouds you have so a built-in smart assistant so that every business user in every role function and Industry can be assisted right inside of the Salesforce product that they use every day then you have S Einstein platform so it's a slightly theoretical thing that is going on right now which is each business operates differently and therefore uses Salesforce differently Einstein includes powerful tools that allow admins and developers to build customized smart assistance for their businesses you can build an assistant that uses natural language understanding intelligent interpretation it has then understands all the intents extracts the text from imagery and agency components to better help your business interact with and understand its customers you can also build capabilities that allow your customers to interact with smart assistants giving quick answers to questions they have and solving routine cases for them the last line over here is very important because you should know that AI assistant is going to help you with all the customer related queries it will understand them because it has been capable of understanding the natural language and it has also been capable of U delivering the natural language so everything is going to play its role whatever we have studied into this aspect where it is going to finally respond for you to other customers that's what Einstein AI assistant would do so now we will take a look on Einstein lead and opportunity scoring where lead scoring AI analyzes historical data so again same thing is being repeated I told you about this AI assistant because Einstein is an AI assistant it is going to repe repetitively do the same thing that I have already explained you so we can try to skip this one I'll just pinpoint the bullets for you so one is the lead scoring then you have opportunity scoring which is similar to lead scoring which is AI provides scores for opportunities to predict the likelihood of closing then you have Einstein forecasting again prediction sort of thing that is sales forecasting a powered forecast predict sales outcomes more accurately by analyzing patterns and Trends in the historical data then we have Einstein Bots chat Bots and natural language processing we have already discussed then we have Einstein analytics Advanced analytics we have ai powered analytics provide deeper insights into customer data identifying Trends patterns and anomalies that can perform the business uh decisions then we have predictive insights where AI predicts future customers customer behaviors and outcomes allowing businesses to proactively address the potential issues so this is predictive analysis then we have Einstein Discovery and Einstein voice in The Discovery we have automated data analysis AI automatically analyzes data and provides actionable insights identifying uh key factors that can impact the business performance and scenario planning May AI helps uh simulate different business scenarios to understand the potential outcomes and make informed decisions now here the thing to explain is that since when uh you know we start to plan for a business we kind of have a um you know sort of like a differentiating factor we should have in a business right otherwise if you're going to copy the same businesses it it might not have a long u Vision it might not serve you for a very longer time for this one AI assistant will help you to simulate different business aspects and scenarios in order to see whether or not you will get the desired result that you're looking for or not if you're not looking for you might have to uh you know comply with other things also you can include other relevant uh you know opportunities roles or scenarios or you know other um factors like discounts and all depends on the business that you're creating and then you can reiterate this simulation of the different scen scarios so that you can at least get some outputs so this is what scenario planning May Einstein can help you then you have Einstein voice which is voice commands and voice insights again it is all about understanding and generation so we kind of can skip that and then we have Einstein recommendation Builder here again so personalized recommendations AI creates personalized product and service recommendation for customers based on their preferences and behav behaviors and content recommendation AI suggest suggests relevant content and resources to the customers enhancing their experience and their engagements so yeah um again things that we have discussed and then finally we are going on to Einstein vision and language so IM image recognition and text analysis image recognition comes on with the very important factor over here because if you if your um AI assistant can actually relevantly respond to see uh or after seeing an image to what exactly is there inside the image then you have created a very intelligent and important sort of uh you know AI assistant so AI can analyze images for object recognition brand detection and other visual insights useful for various applications like social media monitoring and all then you have text analysis which is AI processes and analyzes Text data for sentiments intent and key phrases improving understanding of customer feedback and communication lastly we have Einstein email insights and Einstein automated contacts email insights may you have email analysis just to escape all the uh you know flagging all the important things and spams are going to be declined that is going to be the email analysis and email sentiment analysis is the tone and sentiment of emails to Gorge the customer satisfaction and sentiment that is what lies in the email email insights and then we have contact data enrichment which is AI automatically updates and enriches contact information ensuring the CRM database remains accurate and up to date lastly this is a chunk from tail head so we have got um a Einstein in the business so in it Einstein helps uh buil intelligent applications business processes and workflows for every function in industry in sales it helps Representatives better understand their customers and locate opportunities so they can increase the conver uh conversion rates and close more deals in service another way of helping is that Einstein helps customers find answers instantly on their channels of choice and help agents uh resolve cases Faster by triaging cases and recommending the right articles in marketing Einstein helps marketers send the right content to the right customers at the right time on the right Channel thus increasing the customer engagement and for Commerce Einstein helps retailers recommend the best product to each customer at the right time boosting all the revenue so these are the five major sectors that we have and we have seen that how Einstein can help in marketing service sales it and commerce um and this is about Ein stream business so I'm going to take you to the quiz now uh to just see where exactly you will be helped um with the session so now over here we have seen that which component of automl sifts through the structured data and fixes it up before you start so it is all about the data cleansing the first foremost thing that we have discussed that data cleansing is the vvp thing that you have to do with the data then which of the following is the way Einstein benefits Salesforce users so all of these things we just be through so discover insights yes predicting outcomes yes recommends the best actions and automates the routine task like you know sending all the emails so all of the above okay then we have Einstein for marketing Cloud engagement helps marketers reduce handle Time by collecting and qualifying customer info for seamless agent handoff yes of course I mean this is what we think that Einstein would do so Einstein for marketing Cloud engagement helps marketers reduce the handle time for sure but uh it doesn't uh you know help directly into collecting and qualifying so here qualifying customer info for the agent hand of that is not the case so it does help up to a certain extent but not in a way that they have explained it over here that's why we would say a false now we have how can sales team benefit from the Einstein so uh I taught you about the implementations of Einstein in the sales sector where is we are going to see that uh is it either increasing the re Revenue by showing the customers the best product to buy so this is not what Einstein would do then you have reduced the handle Time by collecting and qualifying customers for seamless agent handoff again no uh then you have create personalized one to1 messages and content based on consumer preferences so again sales may we need to have the uh uh leads and opportunities playing their role right so in sales when ever the questions like sales would appear you would look for for an option where you would see that there are uh leads and opportunities being boosted up so boosting win rates by prioritizing the leads and opportunities most likely to convert that is where the benefit from Einstein would come in when we talk about the sales team okay then how does the Einstein platform help admins and developers that is going to help by building smart assistant customized to their own businesses so that is how the Einstein would help them and then which of the following is not an Einstein platform product very very important question we just did that Einstein Bots as a platform uh Einstein next best action was a thing uh if you remember I had focused on this part then you have Einstein lead scoring because that is where it is going to optimize all the prior leads then you have Einstein prediction Builder again very important so what is not there or what does doesn't exist as Einstein answers hence this is a correct answer right so then we have what's one definition of okay so um this is again a small topic that I would like to discuss which is bias so in bias what happens is uh I am having a certain Prejudice about a product or a service so I am at a partial decision making point so when you are partial that means you are biased okay so impartial assessment when you have to do you have to be nonbiased sometimes biasing is good but most of the times it is not good so what is a good bias a good bias is when I am able to have some proper uh you know assessments uh considering the fact that okay partiality is U you know briefly fine working fine but mostly in most cases again impartial assessment has to be done and hence we see that biasing biasing cannot be uh as relevant to this as it you know could be to other things that's why uh what is the definition of bias it's the Jud judgment based on preconceived notion or Prejudice rather than the impartial evaluation of the of of the facts so I taught you already that bias means uh if I am partial about certain things I am giving certain things more priority than they deserve that is what biasing is okay and this is what uh this is where we see that diversity is very important so why are the diverse teams important they enable you to create more inclusive products that meet the needs of all your users and not just some of them okay because in the biases we kind of Target some of them in order to you know produce or whatever the um you know targets are but in diversity what do we do is we kind of collectively uh take all the population whatever we have to Target and then and then they enable you to create more inclusive products that meet the needs of all your users and not just some of them and then we have they help you identify the preconceived notions or assumptions that can be harmful for some users okay so this is what uh or this is why diverse teams are very important so one is diversity one is buing right so you can just have a quick read from this platform and then you know you can easily understand this topic so yeah I mean these are the questions so um yeah this is what uh our session was about now if just a second huh so yeah I mean this is what our session was about to tell you that you know um AI has got a huge implementation in the CRM department and if uh we will take a close glance on what is is coming next is uh the last thing that is used case for the Salesforce uh assistant so I'm going to reiterate them so sales may you have got the implementation marketing may you have got the implementation customer support may you have got the implementation and in operations so in the sales we have lead scoring opportunity insights and email analysis in marketings uh we have augment uh audience segmentation content recommendation and campaign performance in the customer support we have automated support case classification and sentiment analysis and then in operations we have process automation risk mitigation and resource allocation uh I'll reiterate this one because we have not discussed about operations so process automation means whenever you streamline an approach U of any process so the work would flow in a very efficient manner so you create a workflow with the efficiency and that's what process automation would mean that you have proc uh automated all the process then you have risk mitigation means to reduce the risk so predict the potential issues before they occur and then you have resource allocation means optimize the staff scheduling and resource distribution uh so that resources can be allocated in a manner so these were the used cases for the sales force ssteam rest you can read a bit just to have a brief idea about what is there in the um trail head platform but yeah so far I have tried to cover most important things that I should have and yeah I think thank you for showing um your presence in all those sessions that we have covered we have got we have garnered a good number of views and we have got great response so thank you very much for showing all your interest that you have been showing us and um you know you can uh after this one you can certainly go for the AI associate certification and in case if there's any problem you can of course reach out to both of us um on LinkedIn we are always available to answer all your queries uh anything you want to comment or ask you can please go ahead um I leave the rest on you okay so if you can show upcoming slide so uh first of all thank you for sharing all the knowledge and I think all these 11 sessions will be helping everyone uh to clear the AI certification along with the knowledge because I can see uh most of the people are just doing uh certification to earn the certification to showcase on the LinkedIn but I would recommend you should have knowledge as well because when you will be going for an interview so interviewer will be asking uh few uh questions related to this uh associate certification as well well so in that case you need to know the depth of the AI associate uh program that is uh running by Salesforce and uh uh to uh give you more insight uh we already completed all the sessions on YouTube and uh YouTube sessions are generally one way you hardly get a chance to interact if you have any question in your mind so what we are going to do we will be running uh short duration master classes maybe from next week or or so so what we'll do we'll be having those short short classes where we'll be uh guiding you like what is AI associate uh certification what course curriculum it is having and uh how you can register uh to appear for the examination through web assessor and uh apart from that um few important Concepts we'll be discussing the main benefit of joining those master class is you will be able to ask questions directly and it will be for limited folks okay so I already shared a WhatsApp group Link in the chat you can read the chat and you will be able to find the link there you can join that group and uh all the details related to AI ml data science we are going to share in that group okay so this boot cam comes to an end and maybe uh soon we'll be starting our AI specialist boot camp also so that you can prepare for that certification to so as we have a philosophy like we we don't deliver um any sort of content we create quality content so we are preparing for AI specialist as well because uh I can see on LinkedIn lots of content is already available people are giving very brief information about that certification just to clear the examination but we are not going to do that we will be delivering the content so that uh you can clear the certification as well as after the certific you will be having enough knowledge right so we are preparing for that and soon we'll be doing those sessions on YouTube and then we'll be running master classes as well okay so this is all that I wanted to share and once again thank you uh Nik for sharing all the knowledge and those who are watching these sessions live thanks to you and those who are watching the recordings thanks to you as well and please share uh all these sessions with everybody so so that uh before the exam they can learn things and after the exam also they can prepare for the interviews right so don't just go for the certification to have the certification do have proper knowledge as well okay so with this note uh with this note uh we take your leave and uh probably we'll be meeting you in any other Boot Camp or maybe in the master class thank you bye everyone happy learning