5.68 GB | 00:19:57 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction (27.95 MB)
2 Udemy 101 (18.24 MB)
1 What to Expect Exam Tips and Preparation (62.98 MB)
1 Taxonomy of Artificial Intelligence and Machine Learning Techniques (114.56 MB)
10 Recurrent Neural Networks (RNNs) (97.88 MB)
11 The Transformer Architecture and Self-Attention How Generative AI Works (89.78 MB)
12 Generative Adversarial Networks (GANs) (61.79 MB)
13 Diffusion Models (25.28 MB)
2 Supervised Learning Techniques (53.59 MB)
3 Evaluating Supervised Machine Learning with TrainTest and Cross Validation (65.5 MB)
4 Unsupervised and Self-Supervised Learning; Reinforcement Learning (80.27 MB)
5 The Bias Variance Tradeoff (67.97 MB)
6 A Taxonomy of Machine Learning Techniques (25.99 MB)
7 Intro to Natural Language Processing (NLP) (41.46 MB)
8 History of Deep Learning; How Neural Networks Work (183.2 MB)
9 Convolutional Neural Networks (CNNs) (73.51 MB)
1 Machine Learning Design Principles and Lifecycle (76.66 MB)
10 AI Use Cases (62.95 MB)
11 Computer Vision Use Cases (15.74 MB)
12 Generative AI Use Cases (88.46 MB)
2 Business Goal Identification (72.45 MB)
3 Framing the Machine Learning Problem (145.99 MB)
4 Data Processing (109.55 MB)
5 Model Development, Training, and Tuning (163.76 MB)
6 Deployment (63.53 MB)
7 Monitoring (66.03 MB)
8 The AWS Well-Architected Machine Learning (ML) Lens (11.47 MB)
9 Machine Learning Ops (MLOps) (53.53 MB)
1 Benefits of Prompt Engineering (49.82 MB)
2 Anatomy of a Prompt (22.3 MB)
3 Prompt Best Practices (42.24 MB)
4 Types of Prompts (33.76 MB)
5 Avoiding Prompt Mis-Use and Mitigating Bias (90.9 MB)
1 Overview of Amazon SageMaker (40.96 MB)
10 DEMO SageMaker Studio, SageMaker Canvas, SageMaker Data Wrangler (184.12 MB)
11 Linear Learner, XGBoost, Seq2Seq (45.67 MB)
12 DeepAR, BlazingText, Obj2Vec, Object Detection (60.41 MB)
13 Image Classification, Semantic Segmentation, Random Cut Forest, NTM, LDA (50.63 MB)
14 KNN, K-Means, PCA, Factorization Machines, IP Insights (57.51 MB)
15 DEMO Training and Inference with SageMaker and XGBoost (95.03 MB)
2 Data Processing, Training, and Deployment with SageMaker (65.43 MB)
3 SageMaker Studio, SageMaker Debugger, SageMaker Experiments (56.52 MB)
4 SageMaker Autopilot (62.32 MB)
5 SageMaker Model Monitor and SageMaker Clarify (49.47 MB)
6 SageMaker Deployment Safeguards (and other features) (69.65 MB)
7 SageMaker Feature Store (35.1 MB)
8 SageMaker Lineage Tracking (34.52 MB)
9 SageMaker Data Wrangler (81.06 MB)
1 Generative AI with Foundation Models and SageMaker JumpStart (57.24 MB)
10 HANDS ON with Bedrock Agents (170.69 MB)
11 More Bedrock Features (15.47 MB)
12 Amazon Q Developer (formerly CodeWhisperer) (38.93 MB)
13 Amazon Q Business (35.97 MB)
14 Amazon Q Apps and Pricing (30.63 MB)
2 Introduction to Amazon Bedrock (57.22 MB)
3 HANDS ON with the Bedrock Playground for Chat, Text, and Image Generation (96.84 MB)
4 Fine-Tuning Foundation Models with Bedrock (63.94 MB)
5 Bedrock Knowledge Bases and Retrieval-Augmented Generation (RAG) (216.88 MB)
6 HANDS ON with Bedrock Knowledge Bases (107.26 MB)
7 Bedrock Guardrails (30.92 MB)
8 HANDS ON with Bedrock Guardrails (42.76 MB)
9 LLM Agents and Bedrock Agents (74.14 MB)
1 Amazon Comprehend (44.54 MB)
2 Amazon Translate (15.84 MB)
3 Amazon Transcribe (40.14 MB)
4 Amazon Polly (18 MB)
5 Amazon Rekognition (53.5 MB)
6 Amazon Forecast (14.07 MB)
7 Amazon Lex (26.58 MB)
8 Amazon Personalize (60.09 MB)
9 Additional AI and ML Services (56.56 MB)
1 Fine-Tuning Foundation Models (89.08 MB)
2 Reinforcement Learning from Human Feedback (RLHF) (63.03 MB)
3 Preparing Data for Fine Tuning (39.1 MB)
4 Evaluation Techniques for Foundation Models (81.08 MB)
5 ROUGE, BLEU, and BERTscore metrics for LLM's (55.82 MB)
6 Choosing a Generative AI Evaluation Strategy (21.29 MB)
7 Machine Learning Model Evaluation Precision, Recall, F1, RMSE (71.53 MB)
8 ROC Curves, AUC, P-R Curves (26.91 MB)
1 Dimensions of Responsible AI, and AWS Tools for Responsible AI (56.92 MB)
10 Security in Data Engineering (51.22 MB)
11 AWS Shared Responsibility Model (19.63 MB)
12 AI Compliance Concerns (60.79 MB)
13 Data Governance (36.59 MB)
14 AWS AI Governance Services (31.77 MB)
15 The Generative AI Security Scoping Matrix (88.24 MB)
2 Best Practices for Responsible AI (53.4 MB)
3 AI Governance and Service Cards (41.75 MB)
4 Responsible Model Selection; Responsible Agency (50.76 MB)
5 Responsible Dataset Preparation (42.68 MB)
6 Transparency of AI Models (83.19 MB)
7 AI and Human-Centered Design (HCD) (41.21 MB)
8 Defense In Depth (79.56 MB)
9 Additional AI Security Services (19.44 MB)
2 Udemy 101 (18.24 MB)
1 What to Expect Exam Tips and Preparation (62.98 MB)
1 Taxonomy of Artificial Intelligence and Machine Learning Techniques (114.56 MB)
10 Recurrent Neural Networks (RNNs) (97.88 MB)
11 The Transformer Architecture and Self-Attention How Generative AI Works (89.78 MB)
12 Generative Adversarial Networks (GANs) (61.79 MB)
13 Diffusion Models (25.28 MB)
2 Supervised Learning Techniques (53.59 MB)
3 Evaluating Supervised Machine Learning with TrainTest and Cross Validation (65.5 MB)
4 Unsupervised and Self-Supervised Learning; Reinforcement Learning (80.27 MB)
5 The Bias Variance Tradeoff (67.97 MB)
6 A Taxonomy of Machine Learning Techniques (25.99 MB)
7 Intro to Natural Language Processing (NLP) (41.46 MB)
8 History of Deep Learning; How Neural Networks Work (183.2 MB)
9 Convolutional Neural Networks (CNNs) (73.51 MB)
1 Machine Learning Design Principles and Lifecycle (76.66 MB)
10 AI Use Cases (62.95 MB)
11 Computer Vision Use Cases (15.74 MB)
12 Generative AI Use Cases (88.46 MB)
2 Business Goal Identification (72.45 MB)
3 Framing the Machine Learning Problem (145.99 MB)
4 Data Processing (109.55 MB)
5 Model Development, Training, and Tuning (163.76 MB)
6 Deployment (63.53 MB)
7 Monitoring (66.03 MB)
8 The AWS Well-Architected Machine Learning (ML) Lens (11.47 MB)
9 Machine Learning Ops (MLOps) (53.53 MB)
1 Benefits of Prompt Engineering (49.82 MB)
2 Anatomy of a Prompt (22.3 MB)
3 Prompt Best Practices (42.24 MB)
4 Types of Prompts (33.76 MB)
5 Avoiding Prompt Mis-Use and Mitigating Bias (90.9 MB)
1 Overview of Amazon SageMaker (40.96 MB)
10 DEMO SageMaker Studio, SageMaker Canvas, SageMaker Data Wrangler (184.12 MB)
11 Linear Learner, XGBoost, Seq2Seq (45.67 MB)
12 DeepAR, BlazingText, Obj2Vec, Object Detection (60.41 MB)
13 Image Classification, Semantic Segmentation, Random Cut Forest, NTM, LDA (50.63 MB)
14 KNN, K-Means, PCA, Factorization Machines, IP Insights (57.51 MB)
15 DEMO Training and Inference with SageMaker and XGBoost (95.03 MB)
2 Data Processing, Training, and Deployment with SageMaker (65.43 MB)
3 SageMaker Studio, SageMaker Debugger, SageMaker Experiments (56.52 MB)
4 SageMaker Autopilot (62.32 MB)
5 SageMaker Model Monitor and SageMaker Clarify (49.47 MB)
6 SageMaker Deployment Safeguards (and other features) (69.65 MB)
7 SageMaker Feature Store (35.1 MB)
8 SageMaker Lineage Tracking (34.52 MB)
9 SageMaker Data Wrangler (81.06 MB)
1 Generative AI with Foundation Models and SageMaker JumpStart (57.24 MB)
10 HANDS ON with Bedrock Agents (170.69 MB)
11 More Bedrock Features (15.47 MB)
12 Amazon Q Developer (formerly CodeWhisperer) (38.93 MB)
13 Amazon Q Business (35.97 MB)
14 Amazon Q Apps and Pricing (30.63 MB)
2 Introduction to Amazon Bedrock (57.22 MB)
3 HANDS ON with the Bedrock Playground for Chat, Text, and Image Generation (96.84 MB)
4 Fine-Tuning Foundation Models with Bedrock (63.94 MB)
5 Bedrock Knowledge Bases and Retrieval-Augmented Generation (RAG) (216.88 MB)
6 HANDS ON with Bedrock Knowledge Bases (107.26 MB)
7 Bedrock Guardrails (30.92 MB)
8 HANDS ON with Bedrock Guardrails (42.76 MB)
9 LLM Agents and Bedrock Agents (74.14 MB)
1 Amazon Comprehend (44.54 MB)
2 Amazon Translate (15.84 MB)
3 Amazon Transcribe (40.14 MB)
4 Amazon Polly (18 MB)
5 Amazon Rekognition (53.5 MB)
6 Amazon Forecast (14.07 MB)
7 Amazon Lex (26.58 MB)
8 Amazon Personalize (60.09 MB)
9 Additional AI and ML Services (56.56 MB)
1 Fine-Tuning Foundation Models (89.08 MB)
2 Reinforcement Learning from Human Feedback (RLHF) (63.03 MB)
3 Preparing Data for Fine Tuning (39.1 MB)
4 Evaluation Techniques for Foundation Models (81.08 MB)
5 ROUGE, BLEU, and BERTscore metrics for LLM's (55.82 MB)
6 Choosing a Generative AI Evaluation Strategy (21.29 MB)
7 Machine Learning Model Evaluation Precision, Recall, F1, RMSE (71.53 MB)
8 ROC Curves, AUC, P-R Curves (26.91 MB)
1 Dimensions of Responsible AI, and AWS Tools for Responsible AI (56.92 MB)
10 Security in Data Engineering (51.22 MB)
11 AWS Shared Responsibility Model (19.63 MB)
12 AI Compliance Concerns (60.79 MB)
13 Data Governance (36.59 MB)
14 AWS AI Governance Services (31.77 MB)
15 The Generative AI Security Scoping Matrix (88.24 MB)
2 Best Practices for Responsible AI (53.4 MB)
3 AI Governance and Service Cards (41.75 MB)
4 Responsible Model Selection; Responsible Agency (50.76 MB)
5 Responsible Dataset Preparation (42.68 MB)
6 Transparency of AI Models (83.19 MB)
7 AI and Human-Centered Design (HCD) (41.21 MB)
8 Defense In Depth (79.56 MB)
9 Additional AI Security Services (19.44 MB)
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