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Udemy - [NEW] AWS Certified AI Practitioner AIF-C01 - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Udemy - [NEW] AWS Certified AI Practitioner AIF-C01 (/Thread-Udemy-NEW-AWS-Certified-AI-Practitioner-AIF-C01) |
Udemy - [NEW] AWS Certified AI Practitioner AIF-C01 - AD-TEAM - 11-27-2024 ![]() 3.27 GB | 15min 30s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English
Files Included :
1 -INTRO.mp4 (36.25 MB) 2 -About the AWS Certified AI Practitioner exam.mp4 (46.79 MB) 3 -Creating an AWS Account.mp4 (29.19 MB) 4 -AWS Budgets.mp4 (37.99 MB) 5 -AWS Cost Explorer.mp4 (33.72 MB) 6 -The birth of Artificial Intelligence.mp4 (62.22 MB) 1 -Intro Domain 1 - Fundamentals of Machine Learning and Artificial Intelligence.mp4 (29.52 MB) 10 -Selecting the appropriate ML techniques for specific use cases.mp4 (29.31 MB) 11 -Practical AI use cases - AWS managed AIML services PART 1.mp4 (31.59 MB) 12 -Practical AI use cases - AWS managed AIML services PART 2.mp4 (29.36 MB) 13 -Examples of real-world AI applications.mp4 (18.71 MB) 14 -Machine Learning Development Lifecycle PART 1 (ML pipeline, lifecycle, etc).mp4 (27.84 MB) 15 -Machine Learning Development Lifecycle PART 2 (data collection, data pre, etc).mp4 (28.64 MB) 16 -Machine Learning Development Lifecycle PART 3 (model training, tuning).mp4 (16.31 MB) 17 -Machine Learning Development Lifecycle PART 4 (Evaluation).mp4 (33.54 MB) 18 -Machine Learning Development Lifecycle PART 5 (Evaluation).mp4 (35.05 MB) 19 -Machine Learning Development Lifecycle PART 6 (Deployment).mp4 (26.06 MB) 2 -Basic AI terms (AI, ML, deep learning, neural networks, computer vision, etc) P1.mp4 (78.52 MB) 20 -Machine Learning Development Lifecycle PART 7 (Monitoring).mp4 (14.07 MB) 21 -Fundamental concepts of ML operations (MLOps).mp4 (26.68 MB) 3 -Basic AI terms (AI, ML, deep learning, neural networks, computer vision, etc) P2.mp4 (66 MB) 4 -Similarities and differences between AI, ML, and deep learning.mp4 (34.12 MB) 5 -Inferences, Data and Learning Techniques in AI PARTE 1.mp4 (39 MB) 6 -Inferences, Data and Learning Techniques in AI PARTE 2.mp4 (33.39 MB) 7 -Inferences, Data and Learning Techniques in AI PARTE 3.mp4 (36.13 MB) 8 -Recognizing the applications where AIML can add value.mp4 (21.49 MB) 9 -Determining when AIML solutions are not appropriate.mp4 (13.92 MB) 1 -INTRO.mp4 (11.9 MB) 10 -Advantages of Generative AI.mp4 (14.3 MB) 11 -Disadvantages of Generative AI solutions.mp4 (15.25 MB) 12 -Factors to select appropriate Generative AI models.mp4 (31.19 MB) 13 -Business value and metrics for Generative AI applications.mp4 (25.99 MB) 14 -AWS services and features to develop Generative AI applications.mp4 (22.79 MB) 15 -Advantages and Benefits of AWS AI solutions.mp4 (19.15 MB) 16 -Cost tradeoffs of AWS Generative AI services.mp4 (22.76 MB) 17 -AWS AIMLGen AI services stack.mp4 (14.78 MB) 2 -Foundational Generative AI concepts.mp4 (67.64 MB) 3 -Foundation Models (FM).mp4 (17.15 MB) 4 -Multi-modal Models.mp4 (15.82 MB) 5 -Generative Adversarial Networks (GANs).mp4 (35.67 MB) 6 -Variations Generative Adversarial Networks (GANs).mp4 (22.81 MB) 7 -Diffusion Models.mp4 (14.23 MB) 8 -Potential use cases for Generative AI models.mp4 (39.57 MB) 9 -Foundation model lifecycle (Generative AI).mp4 (25.93 MB) 1 -INTRO.mp4 (10.95 MB) 10 -Prompt engineering techniques.mp4 (46.76 MB) 11 -Potential risks and limitations of prompt engineering.mp4 (44.08 MB) 2 -Criteria to choose pre-trained models.mp4 (32.03 MB) 3 -Retrieval Augmented Generation (RAG) and its business applications.mp4 (43.38 MB) 4 -Optimizing Foundation Models with RAG.mp4 (58.05 MB) 5 -Optimizing Foundation Models with fine-tuning.mp4 (74.96 MB) 6 -INTRO - Prompt Engineering.mp4 (9.36 MB) 7 -Concepts and constructs of prompt engineering.mp4 (17.76 MB) 8 -Modifying prompts.mp4 (30.48 MB) 9 -Best practices for prompt engineering.mp4 (25.66 MB) 1 -Intro.mp4 (7.26 MB) 10 -AWS tools for transparency and explainability.mp4 (23.28 MB) 11 -Responsible AI Trade-Offs.mp4 (37.72 MB) 12 -Principles of Human-Centered Design for Explainable AI.mp4 (30.72 MB) 2 -Responsible AI.mp4 (26.25 MB) 3 -Responsible AI Challenges.mp4 (27 MB) 4 -Core dimensions of responsible AI.mp4 (29.37 MB) 5 -Business benefits of responsible AI.mp4 (14.39 MB) 6 -Amazon Services and Tools for Responsible AI.mp4 (86.16 MB) 7 -Responsible Considerations to Select a Model.mp4 (39.25 MB) 8 -Responsible Preparation for Datasets.mp4 (21.93 MB) 9 -Transparent and Explainable Models.mp4 (38.12 MB) 1 -Intro.mp4 (5.15 MB) 10 -Best Practices for Secure Data Engineering.mp4 (26.31 MB) 2 -Strategic Guidance for Security, Governance, and Compliance.mp4 (34.52 MB) 3 -Compliance Standards for AI Systems.mp4 (30.59 MB) 4 -AWS Services for Governance and Compliance.mp4 (24.75 MB) 5 -Data Governance Strategies.mp4 (18.49 MB) 6 -Approaches for Implementing Governance Strategies.mp4 (40.87 MB) 7 -Security and Privacy Considerations for AI Systems.mp4 (25.21 MB) 8 -AWS Services and Features for Securing AI Systems.mp4 (46.12 MB) 9 -Understanding Data and Model Lineage.mp4 (22.93 MB) 1 -Amazon Q Business INTRO.mp4 (26.98 MB) 10 -Amazon Comprehend DEMO.mp4 (32.5 MB) 11 -Amazon Kendra.mp4 (42.07 MB) 12 -Amazon Fraud Detector.mp4 (153.67 MB) 13 -Amazon Lex.mp4 (38.04 MB) 14 -Amazon Polly.mp4 (27.95 MB) 15 -Amazon Textract.mp4 (54.06 MB) 16 -Amazon Transcribe.mp4 (20.77 MB) 17 -Amazon Translate.mp4 (33.19 MB) 18 -Amazon Personalize.mp4 (103.7 MB) 2 -Amazon Q Business PARTE 1.mp4 (27.22 MB) 3 -Amazon Q Business PARTE 2.mp4 (49.16 MB) 4 -Amazon Q Business PARTE 3.mp4 (28.15 MB) 5 -Amazon Bedrock.mp4 (60.85 MB) 6 -Amazon Rekognition.mp4 (79.35 MB) 7 -Amazon SageMaker.mp4 (34.83 MB) 8 -Amazon Augmented AI (Amazon A2I).mp4 (33.78 MB) 9 -Amazon Comprehend.mp4 (45.89 MB) 1 -Exam-Style Questions.mp4 (27.45 MB) 2 -Register for the Exam.mp4 (23.36 MB) 3 -Apply a 50% discount on your certification exam.mp4 (7.24 MB)] Screenshot ![]() |