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 :Pass 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 скачать 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

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