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Aws Certified Ai Practitioner Aif-C01 - Beginner To Advanced - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Aws Certified Ai Practitioner Aif-C01 - Beginner To Advanced (/Thread-Aws-Certified-Ai-Practitioner-Aif-C01-Beginner-To-Advanced--559452) |
Aws Certified Ai Practitioner Aif-C01 - Beginner To Advanced - AD-TEAM - 09-15-2024 ![]() 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 ![]() 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 ![]() |