riversongs Posted Wednesday at 11:07 PM Report Share Posted Wednesday at 11:07 PM Free Download Get Aws Ai Certified Handson,Quiz & Tests - Zero-To-Hero 2025Published: 12/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 6.14 GB | Duration: 12h 50mFull Certification Prep with Practice Test curated with Amazon Team | Crack your First AWS AI Certification in one shot.What you'll learnMaster the fundamentals of generative AI and its business applicationsNavigate the Amazon Bedrock console with confidencePass the AWS Certified AI Practitioner Certification AIF-C01Learn Prompt EngineeringLearn the key AWS AI services, including a deep dive on Bedrock, Amazon Q and SageMakerPractice Exam with Explanations included!Master Amazon Q Developer setup and integrationCreate custom models with AI using simple text promptsDevelop effective code generation skills using AIOptimize code performance with Amazon Q insightsImprove collaborative development workflowsComplete hands-on, real-world AI projects using Amazon BedrockRequirementsNo AWS Cloud experience is necessaryAn AWS accountHands-On Learning: Hands-on labs and exercises are provided throughout the course to reinforce learning and allow you to practice what you've learned in a real-world environment.No IT pre-requisites is necessaryNo AI pre-requisites is necessaryEnthusiasm to learn about AI and its practical applicationsFrom Basics to Details: We start from the fundamentals of AI/ GenAI/ AWS / Amazon Q, explaining core concepts and terminology in a clear and concise manner.Description"AWS AI Practitioner Certification: From Fundamentals to Certification Success"Course OverviewUnlock the power of artificial intelligence in cloud computing with this comprehensive, hands-on course designed to prepare you for the AWS AI Practitioner Certification. Whether you're a technology professional, developer, or aspiring cloud AI specialist, this course provides the knowledge, skills, and practical experience you need to excel.What you'll learnFoundational AI and Machine Learning ConceptsUnderstand core AI and machine learning principlesExplore the AWS AI/ML technology landscapeLearn how AI technologies integrate with cloud infrastructureGain insights into real-world AI applications and use casesAWS AI Services Deep DiveComprehensive coverage of key AWS AI services:Amazon Bedrock for GenAI ModelAmazon Q Business for BotsAmazon Q Developer for CodingAmazon SageMaker for machine learning model developmentAmazon Rekognition for image and video analysisAmazon Comprehend for natural language processingAmazon Translate and TranscribeAmazon Lex for conversational interfacesAmazon Polly for text-to-speech technologiesHands-On Practical Training30+ hands-on and real-world scenariosStep-by-step demonstrations of AI service configurationsPractical exercises simulating enterprise AI implementationsExam Preparation StrategiesDetailed exam blueprint breakdownComprehensive practice question bank (150+ questions)Multiple full-length mock examsWho Should EnrollCloud professionals looking to specialize in AIDevelopers interested in AI service implementationIT professionals seeking AWS certificationStudents and career changers in technologyAnyone wanting to understand AI's role in cloud computingEnroll now and transform your career with AWS AI expertise!OverviewSection 1: IntroductionLecture 1 IntroductionLecture 2 Official AWS Mock ExamSection 2: Cloud BasicsLecture 3 Cloud Computing & its BenefitsLecture 4 Cloud Computing ModelsLecture 5 AWS InfrastructureLecture 6 Key TerminologiesLecture 7 AWS UI TourLecture 8 Setting a BudgetLecture 9 IAM Users and RolesLecture 10 Root User vs IAM UserLecture 11 IAM PolicyLecture 12 AWS EC2Lecture 13 AWS LambdaLecture 14 AWS S3Lecture 15 Amazon VPCLecture 16 VPC through Real World ScenarioLecture 17 Amazon VPC HandsOnLecture 18 Connect With Me!!Section 3: Concepts of AI & ML - Part 1Lecture 19 What is AI?Lecture 20 AI, GenAI, ML, Deep Learning RelationLecture 21 AI LifecycleLecture 22 What is Generative AI?Lecture 23 Opportunities available in GenAILecture 24 PartyRock - Experience GenAI with No ExperienceLecture 25 Limitations of GenAILecture 26 GenAI Techniques & ModelsLecture 27 FM vs LLMLecture 28 Understanding NLPSection 4: Amazon Bedrock - With Detailed HandsOnLecture 29 Introduction to BedrockLecture 30 Understanding UILecture 31 Enabling Model AccessLecture 32 Using Chat PlaygroundLecture 33 Using Text PlaygroundLecture 34 Using Image PlaygroundLecture 35 Inference ParametersLecture 36 Temperature Hands-OnLecture 37 Top P Hands-OnLecture 38 Top K Hands-OnLecture 39 Most Probable Solution with ParametersLecture 40 Additional ConfigurationsLecture 41 Fine-Tuning of ModelsLecture 42 Understanding SafeguardsLecture 43 Guardrails SetUpLecture 44 Using GuardrailsLecture 45 Understanding Builder ToolsLecture 46 Prompt ManagementLecture 47 Building Knowledge Base - RAG ProcessLecture 48 Crawling & IndexingLecture 49 EmbeddingLecture 50 Understanding RAGLecture 51 Knowledge Base - Using Root UserLecture 52 Knowledge Base - Using IAM UserLecture 53 Understanding AgentsLecture 54 Agents WalkthroughLecture 55 Creating Agents using AssistantLecture 56 Understanding Prompt FlowLecture 57 Understanding Bedrock StudioLecture 58 Criteria for choosing right FMLecture 59 Model Evaluation HandsOnSection 5: Prompt EngineeringLecture 60 Understanding Prompt EngineeringLecture 61 Prompt Elements & TechniquesLecture 62 Zero-Shot Technique + HandsOnLecture 63 Few-Shot Technique + HandsOnLecture 64 Chain-of-Thoughts Technique + HandsOnLecture 65 Modifying Response with Prompts in BedrockLecture 66 Addressing Prompt IssuesLecture 67 Mitigating BiasSection 6: Amazon Q Business & Developer - with Detailed HandsOnLecture 68 Understanding QLecture 69 Amazon Q UI tourLecture 70 Understanding Q BusinessLecture 71 Workflow of Amazon Q BusinessLecture 72 IAM Organisation - For adding Users in Q BusinessLecture 73 IAM Organisation Hands-OnLecture 74 IAM Identity CenterLecture 75 Enabling Identity Center - Option 1Lecture 76 Enabling Identity Center - Option 2Lecture 77 Adding Users in Identity CenterLecture 78 Enabling Users in Identity CenterLecture 79 Adding Permissions to UsersLecture 80 Q Business Hands-OnLecture 81 Adding Users in Q Business Hands-OnLecture 82 Understanding SubscriptionLecture 83 What is Retriever?Lecture 84 Retriever Settings Hands-OnLecture 85 Understanding Data SourcesLecture 86 Data Source - Upload File Hands-OnLecture 87 Can we Restrict Information?Lecture 88 Blocking Words - Hands-OnLecture 89 Apps in Q BusinessLecture 90 Building Apps Hands-OnLecture 91 Understanding Q DeveloperLecture 92 Understanding Q Developer usage in ConsoleLecture 93 Chatting with Amazon Q DeveloperLecture 94 Diagnosing with Amazon Q DeveloperLecture 95 Creating a ticket with Amazon Q DeveloperLecture 96 Can we ask general questions?Lecture 97 Can we ask for code directly in Lambda?Lecture 98 Understanding AWS ChatbotLecture 99 Utilising AWS ChatbotLecture 100 Using Amazon Q with Lambda & BedrockSection 7: Basics Concepts of AI & ML - Part 2Lecture 101 Understanding Machine LearningLecture 102 Types of DataLecture 103 Understanding ML Development LifecycleLecture 104 Learning TechniquesLecture 105 Supervised LearningLecture 106 Examples of Supervised LearningLecture 107 Unsupervised LearningLecture 108 Reinforcement LearningLecture 109 Human involvement in AI development - RLHFLecture 110 HyperParametersLecture 111 Model Evaluations MetricsLecture 112 GenAI Model Performance MetricsLecture 113 Deep LearningLecture 114 Understanding MLOpsSection 8: SageMaker - with Detailed HandsOnLecture 115 Understanding SageMakerLecture 116 SageMaker UI TourLecture 117 SageMaker ServicesLecture 118 All about Data with SageMakerLecture 119 Data Wrangler HandsOnLecture 120 SageMaker Model BuildingLecture 121 SageMaker Jupyter HandsOnLecture 122 SageMaker AutoPilot HandsOnLecture 123 SageMaker Canvas HandsOnLecture 124 SageMaker JumpStart HandsOnLecture 125 SageMaker Training ModelsLecture 126 SageMaker Experiments HandsOnLecture 127 SageMaker DeploymentLecture 128 SageMaker Endpoints HandsOnLecture 129 SageMaker MonitoringLecture 130 SageMaker Clarify HandsOnLecture 131 SageMaker GovernanceLecture 132 SageMaker Model Cards HandsOnLecture 133 SageMaker Model Inference for PredictionsSection 9: Other AI Major ServicesLecture 134 Amazon ComprehendLecture 135 Amazon OpenSearchLecture 136 Amazon QuickSight QLecture 137 Amazon TranslateLecture 138 Amazon TranscribeLecture 139 Amazon PollyLecture 140 Amazon LexLecture 141 Amazon RekognitionLecture 142 Amazon Forecast (Available in Sagemaker Canvas)Lecture 143 Amazon PersonlizeLecture 144 Amazon TextractLecture 145 Amazon KendraLecture 146 Amazon Augmented AILecture 147 AWS Fraud DetectorLecture 148 Amazon DeepRacerLecture 149 Tranium & InferentiaSection 10: AI Responsibility, Compliance & GovernanceLecture 150 Responsible AILecture 151 Troubleshooting Challenges in AI - Fit, Bias & VarianceLecture 152 Responsible Practices for Model SelectionsLecture 153 GenAI RisksLecture 154 Importance of Model TransparencyLecture 155 Tools for Model TransparencyLecture 156 Data GovernanceLecture 157 Emerging AI StandardsLecture 158 AWS ArtifactLecture 159 AWS Audit ManagerLecture 160 AWS Glue DataBrew for Data GovernanceLecture 161 AWS Lake Formation for Data GovernanceLecture 162 Steps to implement AI Governance strategySection 11: AWS AI SecurityLecture 163 AWS Shared Responsibility ModelLecture 164 IAM SecurityLecture 165 AWS CloudTrailLecture 166 AWS KMSLecture 167 AWS MacieLecture 168 VPC Security with EndpointsLecture 169 AWS InspectorLecture 170 AWS Trusted AdvisorLecture 171 AWS ConfigLecture 172 WAF & ShieldLecture 173 AWS X-RayLecture 174 AWS GuardDutyLecture 175 AWS CloudWatchLecture 176 Model VulnerabilitiesLecture 177 Version ControlSection 12: Real Exam Scenario Based QuestionsSection 13: Additional content - Take AWS Retake by 2025Lecture 178 Official AWS Retake till Feb 2025 Coupon CodeLecture 179 Official Curriculum with AWS WebsiteAnyone wanting to acquire the knowledge to pass the AWS Certified AI Practitioner Certification,For Beginners: Individuals with little to no experience in AI/ GenAI/ AWS / Amazon Q. Fresh graduates or students looking to kickstart their careers in AI/ GenAI/ AWS / Amazon Q or software development.,Everyone can pick up this course, at their own pace.,For Intermediate Users: Professionals who have some familiarity with AI but want to deepen their understanding and skills. 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