Mastering AWS Certified AI Practitioner AIF-C01 – Hands On!

سرفصل های دوره

Includes practice test + exercises! AWS AIF-C01 Certification Prep Course. Bedrock, SageMaker, AI Fundamentals, and more

1. Introduction

1. Introduction

2. Udemy 101

3. Get Your Copy of the Slides.html

2. AI and Machine Learning Fundamentals

1. Taxonomy of Artificial Intelligence and Machine Learning Techniques

2. Supervised Learning Techniques

3. Evaluating Supervised Machine Learning with TrainTest and Cross Validation

4. Unsupervised and Self-Supervised Learning; Reinforcement Learning

5. The Bias Variance Tradeoff

6. A Taxonomy of Machine Learning Techniques

7. Intro to Natural Language Processing (NLP)

8. History of Deep Learning; How Neural Networks Work

9. Convolutional Neural Networks (CNNs)

10. Recurrent Neural Networks (RNNs)

11. The Transformer Architecture and Self-Attention How Generative AI Works

12. Generative Adversarial Networks (GANs)

13. Diffusion Models

14. Quiz AI and ML Fundamentals.html

3. Machine Learning Design Principles and Use Cases

1. Machine Learning Design Principles and Lifecycle

2. Business Goal Identification

3. Framing the Machine Learning Problem

4. Data Processing

5. Model Development, Training, and Tuning

6. Deployment

7. Monitoring

8. The AWS Well-Architected Machine Learning (ML) Lens

9. Machine Learning Ops (MLOps)

10. AI Use Cases

11. Computer Vision Use Cases

12. Generative AI Use Cases

13. Quiz ML Design Principles and Use Cases.html

4. Prompt Engineering

1. Benefits of Prompt Engineering

2. Anatomy of a Prompt

3. Prompt Best Practices

4. Types of Prompts

5. Avoiding Prompt Mis-Use and Mitigating Bias

6. Quiz Prompt Engineering.html

5. AI and Machine Learning with Amazon SageMaker

1. Overview of Amazon SageMaker

2. Data Processing, Training, and Deployment with SageMaker

3. SageMaker Studio, SageMaker Debugger, SageMaker Experiments

4. SageMaker Autopilot

5. SageMaker Model Monitor and SageMaker Clarify

6. SageMaker Deployment Safeguards (and other features)

7. SageMaker Feature Store

8. SageMaker Lineage Tracking

9. SageMaker Data Wrangler

10. DEMO SageMaker Studio, SageMaker Canvas, SageMaker Data Wrangler

11. Linear Learner, XGBoost, Seq2Seq

12. DeepAR, BlazingText, Obj2Vec, Object Detection

13. Image Classification, Semantic Segmentation, Random Cut Forest, NTM, LDA

14. KNN, K-Means, PCA, Factorization Machines, IP Insights

15. DEMO Training and Inference with SageMaker and XGBoost

16. Quiz Amazon SageMaker.html

6. Generative AI with AWS

1. Generative AI with Foundation Models and SageMaker JumpStart

2. Introduction to Amazon Bedrock

3.1 cfas-bylaws-rev-9.docx

3. HANDS ON with the Bedrock Playground for Chat, Text, and Image Generation

4. Fine-Tuning Foundation Models with Bedrock

5.1 book.txt

5. Bedrock Knowledge Bases and Retrieval-Augmented Generation (RAG)

6. HANDS ON with Bedrock Knowledge Bases

7. Bedrock Guardrails

8. HANDS ON with Bedrock Guardrails

9. LLM Agents and Bedrock Agents

10.1 weather.zip

10. HANDS ON with Bedrock Agents

11. More Bedrock Features

12. Amazon Q Developer (formerly CodeWhisperer)

13. Amazon Q Business

14. Amazon Q Apps and Pricing

15. Quiz Generative AI with AWS.html

7. High-Level AWS AI Services

1. Amazon Comprehend

2. Amazon Translate

3. Amazon Transcribe

4. Amazon Polly

5. Amazon Rekognition

6. Amazon Forecast

7. Amazon Lex

8. Amazon Personalize

9. Additional AI and ML Services

10. Quiz High-Level AI Services.html

8. Training, Tuning, and Measuring your Models

1. Fine-Tuning Foundation Models

2. Reinforcement Learning from Human Feedback (RLHF)

3. Preparing Data for Fine Tuning

4. Evaluation Techniques for Foundation Models

5. ROUGE, BLEU, and BERTscore metrics for LLMs

6. Choosing a Generative AI Evaluation Strategy

7. Machine Learning Model Evaluation Precision, Recall, F1, RMSE

8. ROC Curves, AUC, P-R Curves

9. Quiz Training, Tuning, and Measuring your Models.html

9. Responsible AI, AI Governance, and AI Security

1. Dimensions of Responsible AI, and AWS Tools for Responsible AI

2. Best Practices for Responsible AI

3. AI Governance and Service Cards

4. Responsible Model Selection; Responsible Agency

5. Responsible Dataset Preparation

6. Transparency of AI Models

7. AI and Human-Centered Design (HCD)

8. Defense In Depth

9. Additional AI Security Services

10. Security in Data Engineering

11. AWS Shared Responsibility Model

12. AI Compliance Concerns

13. Data Governance

14. AWS AI Governance Services

15. The Generative AI Security Scoping Matrix

16. Quiz Responsible AI, Security, and Governance.html

10. Wrapping Up

1. What to Expect Exam Tips and Preparation

2. Bonus Lecture.html

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تولید کننده: Udemy