AWS Certified AI Practitioner (AIF-C01)
AI and machine learning fundamentals on AWS: concepts, Bedrock, SageMaker and responsible AI.
Study & career skills · Beginner · English · 179 videos · 15 h 6 min · videos by ExamPro
By the end you should be able to
- Tell AI, ML and generative AI apart
- Describe the AWS AI and ML services
- Apply prompt engineering and responsible-AI principles
Watch in this order
- 1.Meet Your Instructor1 min
- 2.Course Introduction: AWS AI Practitioner AIF-C0111 min
- 3.Exam Guide Breakdown6 min
- 4.What is AI? An Introduction to Artificial Intelligence3 min
- 5.AI vs Generative AI: What's the Difference?4 min
- 6.Introduction to Jupyter Notebooks: A Guide for Beginners3 min
- 7.What is NLP? Natural Language Processing Explained4 min
- 8.Understanding Regression in Machine Learning1 min
- 9.Classification in Machine Learning: Concepts and Techniques1 min
- 10.What is Clustering in Machine Learning?1 min
- 11.Types of Machine Learning3 min
- 12.Divisions of Machine Learning2 min
- 13.What is Classical Machine Learning?2 min
- 14.Supervised vs Unsupervised Learning: What’s the Difference?1 min
- 15.Supervised, Unsupervised, and Reinforcement Learning1 min
- 16.Supervised Learning Models Explained1 min
- 17.Unsupervised Learning Models2 min
- 18.Neural Networks and Deep Learning4 min
- 19.Introduction to Perceptrons: The Building Block of Neural Networks1 min
- 20.Basic Perceptron Network3 min
- 21.Activation Functions in Neural Networks Explained3 min
- 22.Linear Activation Function Explained1 min
- 23.Binary Step Activation Function Explained1 min
- 24.Sigmoid Activation Function: How It Works1 min
- 25.Tahn Activation Function1 min
- 26.ReLU Activation Function1 min
- 27.Leaky ReLU Activation Function1 min
- 28.ELU Activation Function1 min
- 29.Swish Activation Function1 min
- 30.Maxout Activation Function1 min
- 31.SoftMax Activation Function1 min
- 32.What is an Algorithm?2 min
- 33.What is an ML Model?2 min
- 34.What is a Feature in Machine Learning?1 min
- 35.What is Inference in Machine Learning?1 min
- 36.Parameters vs Hyperparameters: What's the Difference?2 min
- 37.What is Responsible AI? Ethics and Best Practices2 min
- 38.What is Data Labeling?1 min
- 39.What is Data Mining?1 min
- 40.Data Mining Methods Explained1 min
- 41.What is Knowledge Mining?2 min
- 42.What is Data Wrangling? Transforming Raw Data2 min
- 43.What is Data Modeling?1 min
- 44.What is Data Analytics?1 min
- 45.What is a Data Scientist?1 min
- 46.Data Roles Compared1 min
- 47.Train vs Test vs Validation Dataset1 min
- 48.What is a Corpus in Machine Learning?2 min
- 49.What is a Data Type?2 min
- 50.What is a Foundational Model?1 min
- 51.What is a Large Language Model (LLM)?2 min
- 52.Understanding Transformer Architecture in AI: AWS AI Practitioner AIF-C013 min
- 53.What is Tokenization in NLP?2 min
- 54.Tokens and Model Capacity2 min
- 55.What are Embeddings? Representing Data in AI3 min
- 56.What is Positional Encoding in Transformers?1 min
- 57.What is Attention in Machine Learning?3 min
- 58.Fine-Tuning Large Language Models (LLMs) Explained8 min
- 59.Introduction to Amazon Bedrock3 min
- 60.Amazon Bedrock Model Catalog2 min
- 61.Deploying Models with Amazon Bedrock4 min
- 62.Amazon Bedrock Playgrounds: Test and Experiment with AI Models2 min
- 63.Amazon Bedrock Setup Guide8 min
- 64.How to Turn Off SageMaker Notebook Warning1 min
- 65.Prompt Engineering with Amazon Bedrock44 min
- 66.Text Generation with Amazon Bedrock55 min
- 67.Using Amazon Bedrock Knowledge Base for AI Solutions4 min
- 68.Amazon Bedrock RAG: Retrieval-Augmented Generation41 min
- 69.Amazon Bedrock Agents: Automate AI Workflows3 min
- 70.Amazon Bedrock Agent Follow Along47 min
- 71.Amazon Bedrock Prompt Flow2 min
- 72.Amazon Bedrock Prompt Flow Follow Along15 min
- 73.Amazon Bedrock Cleanup: RAG and Agent Management3 min
- 74.Amazon Bedrock Prompt Manager2 min
- 75.Creating Custom Models with Amazon Bedrock3 min
- 76.Custom Models Follow Along with Amazon Bedrock31 min
- 77.Image Generation with Amazon Bedrock10 min
- 78.Implementing Guardrails in Amazon Bedrock2 min
- 79.Guardrails Follow Along with Amazon Bedrock5 min
- 80.Amazon Bedrock Invocation Logging1 min
- 81.Invocation Logging Follow Along with Amazon Bedrock3 min
- 82.Evaluating AI Models with Amazon Bedrock1 min
- 83.Evaluation Follow Along with Amazon Bedrock20 min
- 84.Third-Party Vector Search Solutions for Generative AI2 min
- 85.Pinecone Vector Database Follow Along14 min
- 86.Amazon Aurora and RDS PG Vector for Generative AI2 min
- 87.PG Vector Follow Along with Amazon RDS14 min
- 88.Using DynamoDB and DocumentDB for Generative AI1 min
- 89.Leveraging Amazon Neptune for Generative AI Applications1 min
- 90.Amazon OpenSearch for Generative AI1 min
- 91.Introduction to AWS PartyRock2 min
- 92.AWS PartyRock Follow Along14 min
- 93.General Machine Learning Workflow3 min
- 94.What are ML Pipelines?1 min
- 95.Data Readiness: Preparing Your Data for Machine Learning2 min
- 96.Data Wrangler: Simplify Data Preparation with AWS3 min
- 97.How to Handle SageMaker Canvas Warnings4 min
- 98.Introduction to SageMaker Canvas6 min
- 99.SageMaker Canvas Follow Along10 min
- 100.SageMaker Feature Store5 min
- 101.Deploying Models with SageMaker Endpoints1 min
- 102.Introduction to SageMaker Python SDK6 min
- 103.Labeling Data with SageMaker Ground Truth6 min
- 104.SageMaker Automatic Model Tuning3 min
- 105.SageMaker Inference: Making Predictions with AWS7 min
- 106.Monitoring Models with SageMaker Model Monitor1 min
- 107.Managing Models with SageMaker Model Registry1 min
- 108.Data Processing with SageMaker Processing Jobs1 min
- 109.Building Machine Learning Pipelines with SageMaker2 min
- 110.Ensuring Fairness with SageMaker Clarify5 min
- 111.Documenting Models with SageMaker Model Cards1 min
- 112.Getting Started Quickly with SageMaker JumpStart17 min
- 113.Introduction to SageMaker Studio Labs7 min
- 114.Amazon A2I (Augmented AI)1 min
- 115.What are Evaluation Metrics in Machine Learning?1 min
- 116.Understanding the Confusion Matrix for Model Evaluation3 min
- 117.Classification Metrics: Accuracy vs. Precision1 min
- 118.Classification Metrics: Accuracy vs. F1 Score2 min
- 119.ROC Curve and AUC: Evaluating Classification Models1 min
- 120.Ranking Metrics for Evaluating Machine Learning Models2 min
- 121.Metrics for Evaluating Computer Vision Models1 min
- 122.Evaluation Metrics for Natural Language Processing2 min
- 123.NLP Metrics Follow Along8 min
- 124.Evaluation Metrics for Deep Learning Models1 min
- 125.Evaluation Metrics for Regression Models1 min
- 126.Foundation Model Evaluation Library: Tools and Techniques1 min
- 127.Introduction to Amazon Q: AI-Powered Developer Assistant2 min
- 128.Amazon CodeWhisperer: AI-Powered Code Completion1 min
- 129.Using Amazon Q and CodeWhisperer Together for AI-Assisted Development20 min
- 130.Introduction to Amazon CodeGuru for Code Optimization1 min
- 131.Amazon CodeGuru Follow Along8 min
- 132.Introduction to Amazon Comprehend for NLP3 min
- 133.Amazon Comprehend Follow Along5 min
- 134.Introduction to Amazon Forecast for Time Series Predictions1 min
- 135.Amazon Fraud Detection Service: Identifying Anomalies in Transactions3 min
- 136.Amazon Kendra: Intelligent Search for Enterprise Content4 min
- 137.Amazon Kendra Follow Along34 min
- 138.Amazon Lex: Building Conversational Bots with AI2 min
- 139.Amazon Personalize: Customizing Recommendations with AI2 min
- 140.Amazon Personalize Follow Along46 min
- 141.Amazon Polly: Text-to-Speech Service3 min
- 142.Amazon Polly Follow Along15 min
- 143.Introduction to Amazon Rekognition for Image and Video Analysis2 min
- 144.Amazon Rekognition Follow Along18 min
- 145.Introduction to Amazon Textract for Document Analysis2 min
- 146.Amazon Textract Follow Along12 min
- 147.Introduction to Amazon Translate for Language Translation1 min
- 148.Amazon Translate Follow Along7 min
- 149.Introduction to ISO AI Standards for Generative AI Security1 min
- 150.ISO AI Standard Follow Along (part 1)2 min
- 151.Understanding the Algorithmic Accountability Act for AI Security1 min
- 152.Algorithmic Accountability Act Follow Along (part 1)1 min
- 153.Generative AI Security Scoping Matrix (part 1)1 min
- 154.Generative AI Security Scoping Matrix Follow Along (part 1)2 min
- 155.Understanding and Mitigating Prompt Injection Attacks8 min
- 156.Introduction to Amazon Athena: Interactive SQL Queries3 min
- 157.Understanding Athena SQL Components3 min
- 158.Exploring Athena SQL Data Types4 min
- 159.Understanding Athena SQL SerDe for Data Serialization3 min
- 160.Creating and Managing Tables in Athena SQL3 min
- 161.Introduction to AWS Glue: Serverless Data Integration2 min
- 162.Getting Started with AWS Glue Studio2 min
- 163.Understanding AWS Glue Jobs for Data Transformation1 min
- 164.AWS Glue Data Catalog2 min
- 165.AWS Glue Data Catalog Crawlers: Automate Metadata Discovery1 min
- 166.Ensuring Data Quality with AWS Glue1 min
- 167.Introduction to AWS Glue DataBrew: Visual Data Preparation1 min
- 168.Data Catalog Table and Glue Visual ETL Follow Along32 min
- 169.Introduction to Amazon OpenSearch: Search and Analytics2 min
- 170.Amazon OpenSearch Follow Along21 min
- 171.Introduction to Data Lakes: Managing Big Data1 min
- 172.Introduction to AWS Lake Formation: Building Secure Data Lakes1 min
- 173.Understanding the ISO AI Standard1 min
- 174.ISO AI Standard Follow Along (part 2)2 min
- 175.Overview of the Algorithmic Accountability Act1 min
- 176.Algorithmic Accountability Act Follow Along (part 2)1 min
- 177.Generative AI Security Scoping Matrix (part 2)1 min
- 178.Generative AI Security Scoping Matrix Follow Along (part 2)2 min
- 179.Understanding Prompt Injection Attacks8 min
Before you start: None
skillspring · Videos belong to ExamPro and play from YouTube. Printed for personal study.