Udemy – AWS Certified AI Practitioner AIF-C01 [Beginner to Advanced] – Rahul Trisal


Udemy – AWS Certified AI Practitioner AIF-C01 [Beginner to Advanced] – Rahul Trisal
Aws Certified Ai Practitioner Aif-C01 – Beginner To Advanced
Published 8/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Game changer course for beginners looking to pass AWS AI Practitioner AIF-C01 exam | Learn Real World GenAI Implement.

What you’ll learn

Pass the AWS Certified AI Practitioner AIF-C01

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

Requirements

No prior AI-ML or Generative Experience or coding experience required

Description

Overview

Section 1: Introduction

Lecture 1 Course Outline

Lecture 2 Tips to Optimize Learning & Download Course Content Slides

Lecture 3 Section Overview – Fundamentals of AI-ML

Lecture 5 Machine Learning – Overview and Use Cases

Lecture 6 Deep Learning and Neural Networks

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 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 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

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