Learn Generative Ai And Pass Aws Ai Certification

Learn and effectively demonstrate overall knowledge of AI/ML, generative AI technologies - Reach out for discount coupon

What you'll learn

Understand AI, ML, and generative AI concepts, methods, and strategies in general and on AWS.

Understand the appropriate use of AI/ML and generative AI technologies to ask relevant questions within the candidate’s organization.

Determine the correct types of AI/ML technologies to apply to specific use cases.

Use AI, ML, and generative AI technologies responsibly.

Acquire the knowledge and pass AWS AI Practitioner Exam (AIF-C01) with confidence

Requirements

No programming or machine learning experience needed

Description

Whether you’re new to generative AI or an experienced builder, develop your knowledge and skills with training curated by an experts AWS authorized professional. This course will help you to develop a holistic understanding of generative AI to keep pace with advancements and form business insights.Generative artificial intelligence (generative AI) is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. AI technologies attempt to mimic human intelligence in non-traditional computing tasks like image recognition, natural language processing (NLP), and translation. Generative AI is the next step in artificial intelligence.You’ve probably heard a lot of conversation about artificial intelligence (AI) and generative AI. According to a study by AWS, hiring AI-skilled talent is a priority among 73% of employers—but three out of four who consider it a priority can’t find the AI talent they need.And AI skills aren’t just for techies; having a grasp of cloud and AI fundamentals can help you future-proof careers in business roles, such as marketing, program management, and customer support. Showcasing your understanding of AI concepts can give you an edge in the global job market. According to AWS’s study, organizations are willing to pay a premium for professionals with AI skills. This includes salaries that are up to 47% higher for IT workers, 43% higher for those in sales and marketing, and 42% higher for those in finance.Recognizing the value of AI in all industries, AWS recently launched a new certification to empower professionals with the knowledge to drive AI adoption responsibly. The new AWS Certified AI Practitioner certification could be the perfect credential to help launch – or advance – your tech career, and sharpen your competitive edge in business careers. This certification validates your understanding of core AI and machine learning (ML) concepts and use cases, as well as your ability to identify appropriate AWS services to implement AI solutions.Are you ready to take a streamlined approach to getting ahead of the competition in today’s global workforce? I am excited to announce a new learning pathway to help learners prepare for this certification exam.You would learn about the following exam domains:• Domain 1: Fundamentals of AI and ML (20% of scored content)• Domain 2: Fundamentals of Generative AI (24% of scored content)• Domain 3: Applications of Foundation Models (28% of scored content)• Domain 4: Guidelines for Responsible AI (14% of scored content)• Domain 5: Security, Compliance, and Governance for AI Solutions (14% of scored content)

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: AI ML Fundamentals

Lecture 2 AI Fundamentals

Lecture 3 Making a recommendation

Lecture 4 What is a Model?

Lecture 5 Model - An Analogy

Lecture 6 Supervised, Unsupervised and Reinforcement

Lecture 7 Comparison

Lecture 8 Data Types

Lecture 9 Batch and Real-time Inference

Lecture 10 Deep Learning

Section 3: Generative AI Fundamentals

Lecture 11 What is Generative AI?

Lecture 12 Foundation Models

Lecture 13 Large Language Model (LLM)

Lecture 14 Transformer Models

Lecture 15 Text Generation

Section 4: Generative AI at AWS

Lecture 16 Gen AI at AWS

Lecture 17 Amazon Bedrock

Lecture 18 Amazon Bedrock - Demo

Lecture 19 Amazon Bedrock - Terminologies

Lecture 20 Customization

Lecture 21 Prompt Engineering

Lecture 22 Retrieval Augmented Generation (RAG)

Lecture 23 Knowledge Bases

Lecture 24 Amazon Bedrock Agents - Part 1

Lecture 25 Amazon Bedrock Agents - Part 2

Lecture 26 Pricing

Lecture 27 Integration with other services

Lecture 28 Guardrails

Lecture 29 Randomness and diversity

Section 5: Finetuning your model

Lecture 30 Fine Tuning

Lecture 31 Fine-tuning vs. Continued Pre-training

Lecture 32 Custom Model in Amazon Bedrock

Section 6: Build your own model

Lecture 33 Why build your own model?

Lecture 34 Analogy - Beer or Wine Prediction Model

Lecture 35 Roles in ML Team

Lecture 36 MLOps

Lecture 37 Amazon SageMaker

Lecture 38 Components and Features

Lecture 39 Prepare your data

Lecture 40 Build your model

Lecture 41 Train your model

Lecture 42 Deploy your model

Lecture 43 Amazon SageMaker Endpoints

Lecture 44 End-to-End-Demo-Part 1

Lecture 45 End-to-End-Demo-Part 2

Section 7: Monitoring your model

Lecture 46 Monitoring Business Metrics

Lecture 47 Monitoring Technical Metrics

Section 8: Responsible AI

Lecture 48 Responsible AI

Lecture 49 Tackle AI Challenges

Section 9: AWS AI ML Services

Lecture 50 AWS AI ML Stack

Lecture 51 Amazon Augmented AI

Lecture 52 Amazon Comprehend

Lecture 53 Amazon Fraud Detector

Lecture 54 Amazon Kendra

Lecture 55 Amazon Lex

Lecture 56 Amazon Personalize

Lecture 57 Amazon Polly

Lecture 58 Amazon Q Business and Developer

Lecture 59 Amazon Rekognition

Lecture 60 Amazon Textract

Lecture 61 Amazon Transcribe

Lecture 62 Amazon Translate

Lecture 63 Other AWS Services

Section 10: Getting ready for exam

Lecture 64 Getting ready for exam

Anyone who wants to learn about Generative AI in easy and fun way through analogies,Anyone who is preparing for AWS AI Practitioner Certification