2 жыл бұрын
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@AbhayAR 8 күн бұрын
examtopics is more than enough and udemy as you suggested.
@CortezLabs 17 күн бұрын
Thank you
@rajv739 Ай бұрын
Bought his udemy course on AI practitioner. Love his teaching style (no fluff). Will definitely buy Bedrock/GenAI course soon.
@trisalrahul Ай бұрын
@@rajv739 - Great, message me on linkedin if you need a coupon code…
@ayushnigam9424 Ай бұрын
Hi Sir, If someone has never worked on cloud AWS, but I have 3yrs of experience as a CRM support engineer, how can I justify that I have been working as an AWS cloud engineer, I mean do we need to lie in interviews? please assist. Thank you
@trisalrahul Ай бұрын
@@ayushnigam9424 - please dont lie. Do some sample hands on project and put the code on your github link. Do some certifications. It demonstrates to the recruiting manager that you have taken the initiative to learn. There is always a first time for everyone. Anyone who started on cloud career got a break. Be prepared and wait for the opportunity, it will come but just continue to learn in parallel.
@stealthragnarr2644 2 ай бұрын
11:23 It should be Amazon Q Business, Knowledge bases are RAG based databases orchestrated in Bedrock through Agents fetched the data from RDS or S3 and yes, they are Enterprise data but Amazon Q Business is Q/A app where employees pose a question and get a response, although Agents also work on same principle but it is done on Internal company data where the developer of Model works on, but here are employees who are not concerned with fetching the info to Model in Bedrock, so, correct answer should be *Amazon Q Business*
@stealthragnarr2644 2 ай бұрын
My exam is on Nov 11 2024, thanks
@mrmar-que6307 Ай бұрын
How'd you do?
@rishiraj2548 2 ай бұрын
Great thanks
@trisalrahul 2 ай бұрын
🙏
@MrMohit991 2 ай бұрын
Hi Rahul, I am an experienced IT professional, but I am new to AWS. Should I first do AWS cloud practitioner then AI Practitioner OR attempt to AI Practitioner is good choice. I have basic understanding of AI models, GenAI.
@trisalrahul 2 ай бұрын
Hi Mohit, you can start with AI Practitioner but you do need some understanding of basic AWS services...You can try taking the AI Practitioner and if you struggle, you can go ahead and do the Cloud Practitioner. However, overall - if you are looking to switch career to GenAI on AWS, you need a good understanding of AWS...
@MrMohit991 2 ай бұрын
@@trisalrahul Appreciate your help
@trisalrahul 2 ай бұрын
@MrMohit991 - Happy to help
@naveenfernando6598 2 ай бұрын
Thank you for sharing such valuable content with the community. How can I create an AI model using relational database tables, and what are the suitable foundation models for this task? I am planning to derive analytical results from my database based on user prompts.
@trisalrahul 2 ай бұрын
Hi Naveen, thank you...You can use any model...best of course is from claude Sonnet or Haiku...please note bedrock pushes invocation logs(such as prompt, response etc.) to cloudwatch...you can push them via Kinesis or Lambda to S3 and then use opensearch or Athena for analytics....just an alternative approach ....else if you have anything specific in mind, please go ahead and use relational DB...
@unknown-ic2fq 2 ай бұрын
after bsc.computer science how i enter in this feild please give a roadmap
@AswaniAswani-in5ft 3 ай бұрын
Thanks you so much videos very nice good videos very nice and sir
@trisalrahul 3 ай бұрын
Thank you for your feedback...
@srinivasrepala1 3 ай бұрын
Superb efforts Understood the concepts in short times Really good 👍👍❤
@trisalrahul 3 ай бұрын
Thanks Srinivas. This video is part of my Udemy course - AWS Lambda, Python(Boto3) & Serverless on Udemy : www.udemy.com/course/aws-lambda-and-python-full-course-beginner-to-advanced/?couponCode=B57EDC70A763B67AED5B
@trisalrahul 3 ай бұрын
This video is part of my Udemy Course on AWS Certified AI Practitioner Certification Exam - www.udemy.com/course/aws-certified-ai-practitioner-aif-c01-beginner-to-advanced/?referralCode=AA339617BC1B7300CBF2
@Sherrythegamer 3 ай бұрын
In currently going through your Udemy course on Bedrock and Gen Ai hands on
@trisalrahul 3 ай бұрын
Thank you, hope you are liking the course. Please do try out my AI Practitioner Udemy Course - www.udemy.com/course/aws-certified-ai-practitioner-aif-c01-beginner-to-advanced/learn/?couponCode=NVDIN35&referralCode=AA339617BC1B7300CBF2
@trisalrahul 3 ай бұрын
This video is part of my amazing Udemy Course to help you pass AWS AI Practitioner Certification - Preview from the following link - www.udemy.com/course/aws-certified-ai-practitioner-aif-c01-beginner-to-advanced/?referralCode=AA339617BC1B7300CBF2
@trisalrahul 3 ай бұрын
This video is part of my amazing Udemy Course to help you pass AWS AI Practitioner Certification - Preview from the following link - www.udemy.com/course/aws-certified-ai-practitioner-aif-c01-beginner-to-advanced/?referralCode=AA339617BC1B7300CBF2
@dcs5star 3 ай бұрын
hey where is the Lambda function detail? any place where I can find this Lambda function?
@atharvadomale 3 ай бұрын
why your notification bell icon is off??
@ritik9799 3 ай бұрын
Fantastic and super practical. Thanks Rahul!
@trisalrahul 3 ай бұрын
Thanks Ritik
@AswaniAswani-in5ft 4 ай бұрын
Thank you so much sir
@trisalrahul 4 ай бұрын
Thanks for watching
@mohantyicm 4 ай бұрын
Wonderful Explaination as always. Sir, for Question 4 should it not be Q-Business , as it says Q&A App ?
@trisalrahul 4 ай бұрын
Good point Mohan, it can be Amazon Q business as well but Amazon Bedrock Knowledge Bases offers more flexibility compared to Q
@lordfurion 3 ай бұрын
@@trisalrahul You don't use Knowledge Bases to build applications. You use Knowledge Bases as the RAG for Bedrock models. Correct answer is Amazon Q
@trisalrahul 3 ай бұрын
@@lordfurion - Thanks for watching and your comment, helps me elaborate. Let me explain - Question says ''Which managed AWS Service can be used to build RAG based apps'' . There are 3 options - 1. Use Amazon Bedrock along with a Vector DB such as AWS Open Search or Pinecone to build RAG based apps but you need to write lot of custom code, 2. Bedrock + KnowledgeBases(KB) can be used to build RAG based apps where Knowledge Bases manages the RAG workflow (and less code as it is aws managed) 3. Amazon Q for Business can be used for building RAG based apps which uses Bedrock in the background like other options but it is again AWS managed (No code). If you want to learn how to build all of these HANDS-ON check my Amazon Bedrock Course (10,000+ Learners) - www.udemy.com/course/amazon-bedrock-aws-generative-ai-beginner-to-advanced/?referralCode=A02153572B8864F928E7
@kritikaaggarwal8274 4 ай бұрын
I cant find the free practice paper questions on tutorial dojo
@trisalrahul 4 ай бұрын
@@kritikaaggarwal8274 - please start with these questions and see where you stand in terms of prep- m.kzbin.info/www/bejne/pHrSXmyGaLmpgas&pp=ygUMUmFodWwgdHJpc2Fs
@trisalrahul 4 ай бұрын
Tutorial Dojo may not have created them yet…
@kritikaaggarwal8274 4 ай бұрын
@@trisalrahul thanks
@SauravR402 4 ай бұрын
Thanks for sharing the knowledge. 😍
@trisalrahul 4 ай бұрын
Thanks Saurav
@Akashbadal978 4 ай бұрын
There is error with using another model except claude. Does AWS allows to integrate knowledge base with other LLMs ?
@trisalrahul 4 ай бұрын
It only supports claude at the moment
@Akashbadal978 4 ай бұрын
@@trisalrahul Thanks Rahul sir... And for claude , AWS requires company details and usecase... Can't we do it without it ?
@trisalrahul 4 ай бұрын
@Akashbadal978 - You can mention you are doing a poc for personal use. It’s just for Anthropic, makers of Claude llm to learn how their model is being used…shouldn’t be a problem
@rashmiyt2255 4 ай бұрын
I have got 100 % discount voucher from my company. While creating account for AWS which email id should we give? Personal email id or Office email id?
@trisalrahul 4 ай бұрын
I would use personal, so that if tomo you leave the company, you can still keep the account
@rashmiyt2255 4 ай бұрын
@@trisalrahul Thank You
@ThereIsNoOtherHandleLikeMine 4 ай бұрын
@@trisalrahul 💯
@trisalrahul 4 ай бұрын
💯👍🏻
@dcs5star 4 ай бұрын
Hey I thought we don't need to manually create vector embedding. It will be done automatically in Bedrock right or not? When you create knowledge base it will do that for us. Can you show how we can use knowledge base directly instead of manually chunking and all that. please
@trisalrahul 4 ай бұрын
You can do it manually or through Bedrock Knowledge Bases. There is a detailed video on Bedrock Knowledge Bases and Bedrock Agents in this playlist
@saradakv 4 ай бұрын
Excellent tutorial as always. The best part is that you were coding, explaining and debugging at a speed that we can catch up with you. Couldn't thank you enough. Can I put this as part of my project in my profile?
@trisalrahul 4 ай бұрын
Yes please, go ahead and put it as part of your profile. Don’t forget to check my Udemy Course on Cloudformation if you are looking to learn it in more detail
@saradakv 4 ай бұрын
@@trisalrahul I am interested in AWS Lambda, Python(Boto3) & Serverless- Beginner to Advanced. Is there a coupon code for that?
@trisalrahul 4 ай бұрын
@saradakv - Please message me on LinkedIn
@trisalrahul 4 ай бұрын
@saradakv - Please message me on LinkedIn
@trisalrahul 4 ай бұрын
@@saradakv - Message me on linkedin please
@berthasebastian1490 4 ай бұрын
@rahul, great video! I am seeing the correct IAM roles: AmazonBedrockFullAccess, AmazonBedrockReadOnly, AmazonBedrockStudioPermissionsBoundary, AmazonSageMakerCanvasBedrockAccess. You might want to update the video or description to include that.
@trisalrahul 4 ай бұрын
Yep, now it’s visible but 8 months back they did not have one…but a good point to note for anyone watching now …
@Prism684 4 ай бұрын
One of the best thing I like about your videos is that you don’t just teach fishing but how to create fishing techniques on your own. Regularly going back to documentation and where to get the code snippet from, is a great thing to do😊
@trisalrahul 4 ай бұрын
Thank you
@khanriza 5 ай бұрын
``` return { 'statusCode': 200, 'body': json.dumps(data_dict), 'headers': { 'Content-Type': 'application/json' } } ``` Use the above otherwise the response is malformed.
@khanriza 5 ай бұрын
I'm learning Cloudformation and managed to follow the whole lesson. Was fun and I learnt a lot
@trisalrahul 5 ай бұрын
Amazing. Thank you @Khantiza. You can try out my Udemy Cloudformation course as well incase you need indepth understanding. Let me know if you need a coupon code
@GoonCity777 5 ай бұрын
Question? This guy made some AI thats hyperbrilliant on communicating with other people, and not as good on other things. That’s kind of what I’m looking for (for another specialization). Is this the way of achieving this? Is this creating the savant AIs
@trisalrahul 5 ай бұрын
Not sure what is the question?
@-SANJAIMI 5 ай бұрын
hello sir!!! I have a issue in creating the knowledge base. When I create it shows failed to create open search serverless collection.eventhough I gave the full access access for bedrock and opensearch service for the user and made the s3 bucket to be accessed by the opensearch service, the issues is not fixed. can you help me to clear that issue? I'm struggling with that issue !!! please help me
@trisalrahul 5 ай бұрын
Let Knowledge Bases create the IAM Service Role please…
@-SANJAIMI 5 ай бұрын
@@trisalrahul I even tried that. It doesn't work !!!
@HarmanoOfficial 5 ай бұрын
The given tutorial its very very useful, just one request please make it again into hindi please
@trisalrahul 5 ай бұрын
Thank you Manohar...that is a good idea...will try record it in Hindi....
@adarsh8685 5 ай бұрын
Thanks for this great demo. Could you please share some insights regarding costing for the services used from knowledge base excluding gateway, lambda and S3?
@trisalrahul 5 ай бұрын
KnowledgeBase, though AWS calls it a serverless service but it is not...Its a per hour cost and every hour cost will be approximately $1 irrespective whether you use it or not and the cost mainly comes from openSearch vector store...Please be careful while using KnowledgeBases while using it from cost perspective...When you delete the KnowledgeBase, you also need to separately delete OpenSearch vector store by going to opensearch service....
@onestopzz6446 5 ай бұрын
Hi, Llama 2 Chat models are showing unavailable in all the regions. In which region did you access this model? Are there any alternative models available in AWS to use for this chatbot?
@trisalrahul 5 ай бұрын
Please replace the model id with following Llama 3 or any other model you may like - "meta.llama3-1-70b-instruct-v1:0"
@trisalrahul 5 ай бұрын
With release of llama 3, they are depreciating llama -2
@chloe-z5f 6 ай бұрын
Hi, great video! do you have the code uploaded as a repository on github?
@trisalrahul 5 ай бұрын
Hi Cloe, this video is part of my Udemy course...
@chloe-z5f 6 ай бұрын
Hi, great video! do you have the code uploaded as a repository on github?
@CZar_82 6 ай бұрын
It is possible to optimize the costs of OpenSearch in a development environment. Implementing this example incurs a charge of approximately USD$6 daily, which amounts to around USD$180 per month, regardless of whether the agent is being used or not. Can the service be shut down without deleting the collection? Or what alternatives exist to optimize costs?
@ricardocantillo2042 5 ай бұрын
I lowered the size of the resources in the collection created in Opensearch, lower but still expensive.
@trisalrahul 5 ай бұрын
Thanks for watching my video...Please try other pinecone and others...they seem to be cheaper alternatives comapred to opensearch...
@mohangurjar4665 6 ай бұрын
great ...
@trisalrahul 5 ай бұрын
Thank you for watching
@SankarJankoti 6 ай бұрын
Hi Rahul, Where can i get 2 hours crash course?
@trisalrahul 5 ай бұрын
Hi Sankar - I am not aware where a crash course may be available…
@kunalpinyani860 6 ай бұрын
How can we use Bedrock to query data from Database without calling API?
@trisalrahul 6 ай бұрын
Hi Kunal - You can use Bedrock Agents .....kzbin.info/www/bejne/ZnvEoYFpo7JsqrM
@rajank2909 6 ай бұрын
please upload documentation and ppt of this project
@trisalrahul 5 ай бұрын
Hi Rajan - this video is part of my Udemy course which you can check from above link
@rachitsharma6647 7 ай бұрын
@rahul thanks for the video - can we use our local text files as an input to the LLM like llama2 that can also be deployed on local?
@saisampath8656 7 ай бұрын
Sir..I am getting an error that "You don't have access to the model with the specified model ID."
@trisalrahul 7 ай бұрын
Hi Sai - Please request for the model id access from bedrock service in the console
@saisampath8656 7 ай бұрын
@@trisalrahul sir i requested for the model id access but i am getting a mail " A payment failed due to an issue with your payment method " I tried changing the payment method to credit card.
@trisalrahul 7 ай бұрын
@@saisampath8656 - Okay...please raise a ticket with AWS support...they should be able to help...
@saradakv 7 ай бұрын
OMG.. very well explained in detail. It is boosting confidence in approaching such questions! Thanks a ton!
@trisalrahul 7 ай бұрын
Thanks...glad you liked the video...
@adarshchintada5600 7 ай бұрын
can I do multi-class classification having about 160 classes using sentence similarity. Actually, I have lot of data imbalance. My total dataset size is 1178. but, it has 160 classes. Some classes have high examples and some were too low even one or two. I am thinking to create embeddings for the examples belonging to each class. When the example is matching with the class embeddings then it will trigger the class. Is it a good approach in this scenario?
@devmit2071 8 ай бұрын
Great videos. Some constructive feedback: it would be useful to see at the end of all this, a webpage where the user inputs their questions and sees the results. Something simple like a search bar and output below. A webpage in React or otherwise. Because everything just in the AWS console seems not practical for an end user of the application. I 've watched a lot of your videos and this is the missing piece.
@trisalrahul 7 ай бұрын
Thank you for watching my videos and feedback...Will try and implement your suggestion in future videos....
@manojkumarreddy5801 8 ай бұрын
Excellent Explanation using Bedrock components. But How can we use it for text summarization for user provided document i.e might pdf or of any format?
@trisalrahul 7 ай бұрын
Thanks @manoj - You will need the lambda function to read the pdf and pass as prompt...If the pdf is too long...longer than the context window...you need to use an ochestrator like langchain to break the pdf and pass as prompt...
@manojkumarreddy5801 7 ай бұрын
@@trisalrahul Thank You. Could you please provide more details on the how we can use langchain in detail with sample code?
@trisalrahul 7 ай бұрын
@@manojkumarreddy5801 - I will try and make a video on that in future....
@trisalrahul 8 ай бұрын
This video is part of my Best Selling Udemy Course on Amazon Bedrock and Generative AI - www.udemy.com/course/amazon-bedrock-aws-generative-ai-beginner-to-advanced/?referralCode=A02153572B8864F928E7&couponCode=NVDPRODIN35