09-15-2024, 11:33 AM
![[Image: 3c45e97d2855308929fd6f9ccb45d0f8.jpg]](https://i124.fastpic.org/big/2024/0915/f8/3c45e97d2855308929fd6f9ccb45d0f8.jpg)
Aws Certified Ai Practitioner Aif-C01 - Beginner To Advanced
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.28 GB | Duration: 7h 27m
Game changer course for beginners looking to pass AWS AI Practitioner AIF-C01 exam | Learn Real World GenAI Implement.
[b]What you'll learn[/b]
Pass the AWS Certified AI Practitioner AIF-C01
Detailed explanation and demo on key AWS GenAI Services - Amazon Q Business, Amazon Q Developer, Amazon Bedrock, Sagemaker Jumpstart, EC2 Inferentia, PartyRock
Learn about basics of Generative AI - Prompt, Inference, Completion, RAG, LLM's, Parameters, Tokens, Vectors, Embeddings and much more
Learn about GenAI Application Lifecycle - Use Case Identification, Prompt Engineering, Foundation Model Selection, Fine Tuning
Application of GenAI - Bedrock Knowledge Bases, Agents and Guard Rails
Responsible AI
Basics of AI-ML - Neural Networks, CNN, NLP, Computer Vision
AWS AI-ML Services - Amazon Rekognition, Amazon Polly, Amazon Lex, Amazon Transcribe, Amazon Translate
This a Game Changer course which will not help you pass the exam but help you understand the Real World implementation scenarios for GenAI
Try out the course and I promise you will not be disappointed. Comes with A 30 Day "No questions Asked" Money Back Guarantee! if you donot like the course
[b]Requirements[/b]
No prior AI-ML or Generative Experience or coding experience required
[b]Description[/b]
Welcome to the most comprehensive course on AWS Generative AI and Machine Learning from a practicing AWS GenAI Architect with real world experience in building Enterprise Generative AI Applications.This course has been structured in a way that starts from absolute basics on AI, ML, Generative AI and gradually builds on to show you how to build enterprise grade applications.This course will help you
ass the AWS Certified AI Practitioner AIF-C01Explain in detail with Hands-On demo of all the AWS Generative AI Services and usage in Enterprise ScenarioLearn all the basic concepts of Generative AI, AI-MLHands-On and Quizzes in each sectionInstructor : My name is Rahul Trisal and I am one the best selling instructors on AWS in Udemy with multiple courses on GenerativeAI, AWS Lambda, AWS CDK and AWS Cloudformation.I am a practicing GenAI Solution Architect and my recent Udemy Course on Generative AI and Amazon Bedrock has almost 8000+ students, 1000+ Reviews and 1.5 Million viewing mins.Here is a detailed list of topics covered as part of course :Learn Fundamental Concepts of AI and MLFundamental Concepts of Generative AIsApplication of Generative AI - Bedrock Agents, Bedrock Knowledge Bases, Bedrock GuardrailsDeep dive into AWS GenAI Services - Amazon Q, Amazon Bedrock, Amazon Sagemaker Jumpstart, Tranium,InferentiaGenAI Application Lifecycle - Use Case Selection, Prompt Engineering, Foundation Model Selection, Fine TuningResponsible AI & SecurityAWS AI-ML ServicesNo prior AI-ML or Generative Experience or coding experience requiredTry out the course and I promise you will not be disappointed. Comes with A 30 Day "No questions Asked" Money Back Guarantee! from Udemy, if you donot like the courseThis course also comes with:7+ hours of video trainingQuiz questions to test your conceptsUdemy Certificate of Completion A 30 Day "No Questions Asked" Money Back Guarantee!Lifetime access to all future updates
Overview
Section 1: Introduction
Lecture 1 Course Outline
Lecture 2 Tips to Optimize Learning & Download Course Content Slides
Section 2: Fundamentals Concepts of Artificial Intelligence and Machine Learning
Lecture 3 Section Overview - Fundamentals of AI-ML
Lecture 4 Artificial Intelligence - Overview
Lecture 5 Machine Learning - Overview and Use Cases
Lecture 6 Deep Learning and Neural Networks
Lecture 7 Overview of Artificial Intelligence Landscape - Mental Map
Lecture 8 Computer Vision and Convolutional Neural Network
Lecture 9 Computer Vision - Capabilities and Use Cases
Lecture 10 AWS AI Service (Computer Vision) - Amazon Rekognition (HandsOn)
Lecture 11 Natural Language Processing - Overview and Use Cases
Lecture 12 AWS AI Service (Natural Language Processing) - Amazon Lex (HandsOn)
Section 3: Fundamentals of Generative AI
Lecture 13 Section Overview
Lecture 14 What is Generative AI
Lecture 15 How Generative AI works 1 - Prompt, Completion and Infererences
Lecture 16 How Generative AI works 2 - Tokens, Parameters, Temperature, Open Source Models
Lecture 17 Generative AI Use Cases
Lecture 18 Foundation Model Types - LLM's, Multimodal, Diffusion Models
Lecture 19 Foundation Model - Inference Parameters
Lecture 20 Vectors, Embeddings and Vector DB
Lecture 21 Vectors, Embeddings and Vector DB (HandsOn)
Lecture 22 Retrieval Augumented Generation (RAG) - Overview
Lecture 23 Retrieval Augumented Generation (HandsOn)
Section 4: AWS Generative AI Services
Lecture 24 AWS Generative AI Services
Lecture 25 AWS GenAI Service - Amazon Q Business
Lecture 26 AWS GenAI Service - Amazon Q Business(HandsOn)
Lecture 27 AWS GenAI Service - Amazon Q Developer
Lecture 28 AWS GenAI Service - Amazon Q Developer (HandsOn)
Lecture 29 AWS GenAI Service - Amazon Bedrock Overview
Lecture 30 AWS GenAI Service - Amazon Bedrock (HandsOn)
Lecture 31 AWS GenAI Service - PartyRock (HandsOn)
Lecture 32 AWS GenAI Service - Sagemaker Jumpstart
Lecture 33 AWS GenAI Service - Tranium and Inferentia
Lecture 34 AWS GenAI Service - Tranium and Inferentia (HandsOn)
Section 5: Application of Generative AI
Lecture 35 Section Overview
Lecture 36 Advanced Concepts - Bedrock Knowledge Bases
Lecture 37 Advanced Concepts - Bedrock Knowledge Bases (HandsOn)
Lecture 38 Advanced Concepts - Bedrock Agents (HandsOn)
Lecture 39 Advanced Concepts - Bedrock Agents - Architecture
Lecture 40 Advanced Concepts - Bedrock Guardrails
Section 6: GenAI Lifecycle - Prompt Engineering, Foundation Model Selection, Fine Tuning
Lecture 41 Generative AI Lifecycle
Lecture 42 Phase 1 - Use Case Selection
Lecture 43 Phase 2 - Foundation Model Selection
Lecture 44 Phase 2 - Foundation Model Evaluation Criteria - HandsOn
Lecture 45 Phase 3 - Prompt Engineering - Part 1
Lecture 46 Phase 3 - Prompt Engineering - Part 2
Lecture 47 Phase 3 - Model Fine Tuning
Lecture 48 Phase 3 - Model Fine Tuning HandsOn
Section 7: Responsible AI and Security
Lecture 49 What is Responsible AI & Guiding principles
Lecture 50 Bedrock Foundation Model Evaluator
Lecture 51 Bedrock Guardrails
Lecture 52 Amazon Sagemaker Clarify
Lecture 53 Amazon Model Monitor
Section 8: AWS AI-ML Services
Lecture 54 Section Overview - AWS AI-ML Services
Lecture 55 AWS AI Service - Amazon Polly
Lecture 56 AWS AI Service - Amazon Translate
Lecture 57 AWS AI Service - Amazon Transcribe
Lecture 58 AWS AI Service - Amazon Comprehend
Anyone looking to learn AWS Generative AI (from Beginner to Advanced) and pass the AWS Certified AI Practitioner AIF-C01
![[Image: bene9zOJ_o.jpg]](https://images2.imgbox.com/08/58/bene9zOJ_o.jpg)
[b]What you'll learn[/b]
Pass the AWS Certified AI Practitioner AIF-C01
Detailed explanation and demo on key AWS GenAI Services - Amazon Q Business, Amazon Q Developer, Amazon Bedrock, Sagemaker Jumpstart, EC2 Inferentia, PartyRock
Learn about basics of Generative AI - Prompt, Inference, Completion, RAG, LLM's, Parameters, Tokens, Vectors, Embeddings and much more
Learn about GenAI Application Lifecycle - Use Case Identification, Prompt Engineering, Foundation Model Selection, Fine Tuning
Application of GenAI - Bedrock Knowledge Bases, Agents and Guard Rails
Responsible AI
Basics of AI-ML - Neural Networks, CNN, NLP, Computer Vision
AWS AI-ML Services - Amazon Rekognition, Amazon Polly, Amazon Lex, Amazon Transcribe, Amazon Translate
This a Game Changer course which will not help you pass the exam but help you understand the Real World implementation scenarios for GenAI
Try out the course and I promise you will not be disappointed. Comes with A 30 Day "No questions Asked" Money Back Guarantee! if you donot like the course
[b]Requirements[/b]
No prior AI-ML or Generative Experience or coding experience required
[b]Description[/b]
Welcome to the most comprehensive course on AWS Generative AI and Machine Learning from a practicing AWS GenAI Architect with real world experience in building Enterprise Generative AI Applications.This course has been structured in a way that starts from absolute basics on AI, ML, Generative AI and gradually builds on to show you how to build enterprise grade applications.This course will help you
ass the AWS Certified AI Practitioner AIF-C01Explain in detail with Hands-On demo of all the AWS Generative AI Services and usage in Enterprise ScenarioLearn all the basic concepts of Generative AI, AI-MLHands-On and Quizzes in each sectionInstructor : My name is Rahul Trisal and I am one the best selling instructors on AWS in Udemy with multiple courses on GenerativeAI, AWS Lambda, AWS CDK and AWS Cloudformation.I am a practicing GenAI Solution Architect and my recent Udemy Course on Generative AI and Amazon Bedrock has almost 8000+ students, 1000+ Reviews and 1.5 Million viewing mins.Here is a detailed list of topics covered as part of course :Learn Fundamental Concepts of AI and MLFundamental Concepts of Generative AIsApplication of Generative AI - Bedrock Agents, Bedrock Knowledge Bases, Bedrock GuardrailsDeep dive into AWS GenAI Services - Amazon Q, Amazon Bedrock, Amazon Sagemaker Jumpstart, Tranium,InferentiaGenAI Application Lifecycle - Use Case Selection, Prompt Engineering, Foundation Model Selection, Fine TuningResponsible AI & SecurityAWS AI-ML ServicesNo prior AI-ML or Generative Experience or coding experience requiredTry out the course and I promise you will not be disappointed. Comes with A 30 Day "No questions Asked" Money Back Guarantee! from Udemy, if you donot like the courseThis course also comes with:7+ hours of video trainingQuiz questions to test your conceptsUdemy Certificate of Completion A 30 Day "No Questions Asked" Money Back Guarantee!Lifetime access to all future updates Overview
Section 1: Introduction
Lecture 1 Course Outline
Lecture 2 Tips to Optimize Learning & Download Course Content Slides
Section 2: Fundamentals Concepts of Artificial Intelligence and Machine Learning
Lecture 3 Section Overview - Fundamentals of AI-ML
Lecture 4 Artificial Intelligence - Overview
Lecture 5 Machine Learning - Overview and Use Cases
Lecture 6 Deep Learning and Neural Networks
Lecture 7 Overview of Artificial Intelligence Landscape - Mental Map
Lecture 8 Computer Vision and Convolutional Neural Network
Lecture 9 Computer Vision - Capabilities and Use Cases
Lecture 10 AWS AI Service (Computer Vision) - Amazon Rekognition (HandsOn)
Lecture 11 Natural Language Processing - Overview and Use Cases
Lecture 12 AWS AI Service (Natural Language Processing) - Amazon Lex (HandsOn)
Section 3: Fundamentals of Generative AI
Lecture 13 Section Overview
Lecture 14 What is Generative AI
Lecture 15 How Generative AI works 1 - Prompt, Completion and Infererences
Lecture 16 How Generative AI works 2 - Tokens, Parameters, Temperature, Open Source Models
Lecture 17 Generative AI Use Cases
Lecture 18 Foundation Model Types - LLM's, Multimodal, Diffusion Models
Lecture 19 Foundation Model - Inference Parameters
Lecture 20 Vectors, Embeddings and Vector DB
Lecture 21 Vectors, Embeddings and Vector DB (HandsOn)
Lecture 22 Retrieval Augumented Generation (RAG) - Overview
Lecture 23 Retrieval Augumented Generation (HandsOn)
Section 4: AWS Generative AI Services
Lecture 24 AWS Generative AI Services
Lecture 25 AWS GenAI Service - Amazon Q Business
Lecture 26 AWS GenAI Service - Amazon Q Business(HandsOn)
Lecture 27 AWS GenAI Service - Amazon Q Developer
Lecture 28 AWS GenAI Service - Amazon Q Developer (HandsOn)
Lecture 29 AWS GenAI Service - Amazon Bedrock Overview
Lecture 30 AWS GenAI Service - Amazon Bedrock (HandsOn)
Lecture 31 AWS GenAI Service - PartyRock (HandsOn)
Lecture 32 AWS GenAI Service - Sagemaker Jumpstart
Lecture 33 AWS GenAI Service - Tranium and Inferentia
Lecture 34 AWS GenAI Service - Tranium and Inferentia (HandsOn)
Section 5: Application of Generative AI
Lecture 35 Section Overview
Lecture 36 Advanced Concepts - Bedrock Knowledge Bases
Lecture 37 Advanced Concepts - Bedrock Knowledge Bases (HandsOn)
Lecture 38 Advanced Concepts - Bedrock Agents (HandsOn)
Lecture 39 Advanced Concepts - Bedrock Agents - Architecture
Lecture 40 Advanced Concepts - Bedrock Guardrails
Section 6: GenAI Lifecycle - Prompt Engineering, Foundation Model Selection, Fine Tuning
Lecture 41 Generative AI Lifecycle
Lecture 42 Phase 1 - Use Case Selection
Lecture 43 Phase 2 - Foundation Model Selection
Lecture 44 Phase 2 - Foundation Model Evaluation Criteria - HandsOn
Lecture 45 Phase 3 - Prompt Engineering - Part 1
Lecture 46 Phase 3 - Prompt Engineering - Part 2
Lecture 47 Phase 3 - Model Fine Tuning
Lecture 48 Phase 3 - Model Fine Tuning HandsOn
Section 7: Responsible AI and Security
Lecture 49 What is Responsible AI & Guiding principles
Lecture 50 Bedrock Foundation Model Evaluator
Lecture 51 Bedrock Guardrails
Lecture 52 Amazon Sagemaker Clarify
Lecture 53 Amazon Model Monitor
Section 8: AWS AI-ML Services
Lecture 54 Section Overview - AWS AI-ML Services
Lecture 55 AWS AI Service - Amazon Polly
Lecture 56 AWS AI Service - Amazon Translate
Lecture 57 AWS AI Service - Amazon Transcribe
Lecture 58 AWS AI Service - Amazon Comprehend
Anyone looking to learn AWS Generative AI (from Beginner to Advanced) and pass the AWS Certified AI Practitioner AIF-C01
![[Image: signature.png]](https://softwarez.info/images/avsg/signature.png)
