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Inicio / Cursos / AWS Certified Machine Learning Engineer Associate: Hands On!
Impartido por Frank KanePago único de $2,800 MXN · acceso por 12 meses

AWS Certified Machine Learning Engineer Associate: Hands On!

Practice exam included! Master MLA-C02/ ME1-C02 AWS Machine Learning Engineer Exam: SageMaker, Bedrock, and AI Skills.

Certificado oficial emitido por la SEPA través del Gobierno del Estado de México
12 meses de acceso En línea · 60 h 14 unidades
Qué aprenderás

Lo que serás capaz de hacer

FULLY UPDATED for the MLA-C02 exam released in September 2026. Practice exam included. Get certified by Amazon for your knowledge of machine learning on AWS! Prepare to ace one of the most challenging certifications in the cloud domain—the AWS Certified Machine Learning Engineer Associate Exam! Whether you're a backend developer, data engineer, or data scientist, this comprehensive course is your gateway to success. Why This Course? This course is expertly crafted by industry veterans Frank Kane and Stephane Maarek , who have collectively educated over 3 million students on Udemy. Frank Kane, with over 9 years of experience at Amazon, has specialized in machine learning and AI, and Stephane Maarek is an AWS expert and renowned instructor. Together, they bring an unparalleled depth of knowledge to guide you through every aspect of the exam. What You’ll Learn: Master AWS ML and AI Services: Dive deep into Amazon SageMaker, Amazon Bedrock, and a host of other AWS services like Comprehend, Rekognition, and Translate, which are crucial for the exam. Hands-on Labs: Gain practical experience with hands-on activities, labs, and demos that reinforce your understanding and help you build confidence. Practice Exam and Practice Questions: A full-length 65-question practice exam and 110 quiz questions throughout the course test your knowledge, in a style similar to the exam Data Preparation & Feature Engineering: Learn how to ingest, transform, and validate data for ML modeling, ensuring data integrity and model readiness. Model Development & Deployment: Explore hyperparameter tuning, model performance analysis, and best practices for deploying scalable ML and AI solutions on AWS. Monitoring & Security: Discover how to monitor ML models and infrastructure, optimize costs, and secure your AWS environment, ensuring compliance and performance. Why Choose Us? Proven Track Record: Our instructors have helped millions of students achieve their AWS certification goals. Real-World Experience: Learn from experts who have worked at Amazon and have extensive experience with AWS services. Comprehensive Coverage: This course covers everything you need to pass the exam—from AWS service knowledge to advanced machine learning topics that the exam will test you on. Who Should Enroll? This course is perfect for anyone preparing to take the AWS Certified Machine Learning Engineer Associate Exam. If you're serious about your certification and want to ensure you walk into the exam center with confidence, this course is for you. Don’t Leave Your Success to Chance This certification is tough, and the stakes are high. Don't risk hundreds of dollars on an exam until you're fully prepared. Enroll now and take the first step towards becoming an AWS Certified Machine Learning Engineer! Enroll Today and Start Your Journey to Certification Success! Don't just take our word for it - here are some real student reviews just taken from the past couple of weeks: "I took the ML Associate exam last month and cleared it because of this course!" - Ashkay "Glad I took this course, was able to pass MLA !!" - Rajendra "I just passed the exam. This course was so helpful. Thanks." - Yong Soek "I Passed my MLA exam Yesterday, thanks to this course! This course is excellent and highly comprehensive!" - Aditya "The course is brilliant! I have used around 2 weeks to review the course and have passed the exam in the first attempt!" - Martin "Great course, couldn't have passed the ML Associate exam without it! Covered everything needed to pass the exam about as succinctly as I could expect." - Nick - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Instructor My name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS. I have already taught 3,000,000+ students and gotten 800,000+ reviews throughout my career in designing and delivering these certifications and courses! With AWS becoming the centerpiece of today's modern IT architectures, I have decided it is time for students to learn how to be an AWS Machine Learning Engineer. So, let’s kick start the course! You are in good hands! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Instructor Hey, I'm Frank Kane, and I'm also co-instructing this course. I've successfully passed the MLA exam myself and have ensured everything you need to know is in here. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, and I'm best known for my top-selling courses in "big data", data analytics, machine learning, AI, Apache Spark, system design, and Elasticsearch. I hold 26 issued patents in the field of machine learning. I've been teaching on Udemy since 2015, where I've reached over one million students all around the world! I've worked hard to keep this course up to date with the latest developments in AWS machine learning, and to make sure you're prepared for the latest version of this exam. Let's dive in and get you ready! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - This course also comes with: Lifetime access to all future updates A responsive instructor in the Q&A Section Udemy Certificate of Completion Ready for Download A 30 Day "No Questions Asked" Money Back Guarantee! Join us in this course if you want to pass the AWS Certified Machine Learning Engineer Associate MLA-C02 / ME1-C02 exam and master the AWS platform!

  • Prepare confidently for the AWS Certified Machine Learning Engineer Associate exam. (MLA-C02)
  • Understand and apply key AWS machine learning and AI services like SageMaker, Bedrock, and more.
  • Perform data preparation, feature engineering, and data validation for ML models.
  • Master hyperparameter tuning, model training, and deployment strategies on AWS.
  • Implement CI/CD pipelines and automation for scalable machine learning and AI workflows.
  • Secure, monitor, and optimize AWS ML and AI infrastructure for performance and cost-efficiency.

Temario

UNIDAD 1 - Introduction · 6 lecciones

UNIDAD 1 - Introduction

  • Introduction and Course OverviewVideo · 10 min
  • Optimizing your Udemy Learning EnvironmentLectura · 0 min
  • Get the Course Materials and SlidesLectura · 0 min
  • Heads Up! Choose the correct AWS Sign Up experienceLectura · 0 min
  • [Important] AWS Console UI UpdateVideo · 1 min
  • Setting Up an AWS Billing AlarmVideo · 2 min
UNIDAD 2 - Data Ingestion and Storage · 49 lecciones

UNIDAD 2 - Data Ingestion and Storage

  • Intro: Data Ingestion and StorageVideo · 1 min
  • Types of DataVideo · 5 min
  • Properties of Data (The Three V's)Video · 4 min
  • Data Warehouses, Lakes, and LakehousesVideo · 10 min
  • Data MeshVideo · 3 min
  • ETL & ETL Pipelines and OrchestrationVideo · 5 min
  • Common Data Sources and Data FormatsVideo · 9 min
  • Amazon S3Video · 6 min
  • Amazon S3 - Hands OnVideo · 7 min
  • Amazon S3 Security - Bucket PolicyVideo · 5 min
  • Amazon S3 Security - Bucket Policy - Hands OnVideo · 3 min
  • Amazon S3 - VersioningVideo · 1 min
  • Amazon S3 - Versioning - Hands OnVideo · 4 min
  • Amazon S3 - ReplicationVideo · 1 min
  • Amazon S3 - Replication - NotesVideo · 1 min
  • Amazon S3 - Replication - Hands OnVideo · 6 min
  • Amazon S3 - Storage ClassesVideo · 6 min
  • Amazon S3 - Storage Classes - Hands OnVideo · 4 min
  • Amazon S3 - Lifecycle RulesVideo · 4 min
  • Amazon S3 - Lifecycle Rules - Hands OnVideo · 2 min
  • Amazon S3 - Event NotificationsVideo · 4 min
  • Amazon S3 - Event Notifications - Hands OnVideo · 6 min
  • Amazon S3 - PerformanceVideo · 5 min
  • Amazon S3 - EncryptionVideo · 8 min
  • About DSSE-KMSLectura · 0 min
  • Amazon S3 - Encryption - Hands OnVideo · 5 min
  • Amazon S3 - Default EncryptionVideo · 1 min
  • Amazon S3 - Access PointsVideo · 4 min
  • Amazon S3 - Object LambdaVideo · 3 min
  • Amazon EBSVideo · 5 min
  • Amazon EBS - Hands OnVideo · 6 min
  • Amazon EBS Elastic VolumesVideo · 2 min
  • Amazon EFSVideo · 5 min
  • Amazon EFS - Hands OnVideo · 13 min
  • Amazon EFS vs. Amazon EBSVideo · 2 min
  • Amazon FSxVideo · 8 min
  • Amazon FSx - Hands OnVideo · 3 min
  • Amazon Kinesis Data StreamsVideo · 4 min
  • Amazon Kinesis Data Streams - Hands OnVideo · 10 min
  • Amazon Data FirehoseVideo · 4 min
  • Kinesis Tuning and TroubleshootingVideo · 7 min
  • Amazon Managed Service for Apache FlinkVideo · 5 min
  • Managed Service for Apache Flink - Hands OnVideo · 11 min
  • Kinesis Analytics Costs; RANDOM_CUT_FORESTVideo · 2 min
  • Amazon MSKVideo · 7 min
  • Amazon MSK - ConnectVideo · 2 min
  • Amazon MSK - ServerlessVideo · 1 min
  • Amazon Kinesis vs. Amazon MSKVideo · 2 min
  • Quiz: Data Ingestion and StorageCuestionario · 0 min
UNIDAD 3 - Data Transformation, Integrity, and Feature Engineering · 39 lecciones

UNIDAD 3 - Data Transformation, Integrity, and Feature Engineering

  • Intro: Data Transformation, Integrity, and Feature EngineeringVideo · 1 min
  • Elastic MapReduce (EMR) and Hadoop OverviewVideo · 7 min
  • EMR ServerlessVideo · 12 min
  • Apache Spark on EMRVideo · 10 min
  • Feature Engineering and the Curse of DimensionalityVideo · 7 min
  • Lab: Preparing Data for TF-IDF with Spark and EMR Studio, Part 1Video · 6 min
  • Lab: Preparing Data for TF-IDF with Spark and EMR Studio, Part 2Video · 20 min
  • Imputing Missing DataVideo · 8 min
  • Dealing with Unbalanced DataVideo · 6 min
  • Handling OutliersVideo · 8 min
  • Binning, Transforming, Encoding, Scaling, and ShufflingVideo · 8 min
  • Advanced Text Pre-Processing for AIVideo · 3 min
  • Data Masking and AnonymizationVideo · 3 min
  • AI Training - Data IntegrityVideo · 3 min
  • UPDATE: SageMaker is now "SageMaker AI"Lectura · 0 min
  • SageMaker AI OverviewVideo · 4 min
  • SageMaker AI DomainsVideo · 3 min
  • Data Processing, Training, and Deployment with SageMaker AIVideo · 6 min
  • Labeling and Annotating Training DataVideo · 8 min
  • SageMaker Data WranglerVideo · 7 min
  • NOTICE: SageMaker Data Wrangler is getting hard to findLectura · 0 min
  • Demo: SageMaker Studio, Canvas, and Data WranglerVideo · 24 min
  • Pre-Training Bias Metrics, and Mitigating BiasVideo · 5 min
  • Partial Dependence Plots (PDPs), Shapley values, and SHAPVideo · 3 min
  • SageMaker Feature StoreVideo · 4 min
  • SageMaker CanvasVideo · 2 min
  • AWS GlueVideo · 6 min
  • AWS Glue StudioVideo · 5 min
  • AWS Glue Data QualityVideo · 3 min
  • AWS Glue DataBrewVideo · 3 min
  • Demo: Glue DataBrewVideo · 7 min
  • Handling PII in DataBrew TransformationsVideo · 2 min
  • Intro to Amazon AthenaVideo · 4 min
  • Athena and GlueVideo · 8 min
  • Athena and CREATE TABLE AS SELECTVideo · 3 min
  • Athena PerformanceVideo · 2 min
  • Athena ACID TransactionsVideo · 3 min
  • Athena Fine-Grained AccessVideo · 2 min
  • Quiz: Data Transformation, Integrity, and Feature EngineeringCuestionario · 0 min
UNIDAD 4 - AWS Managed AI Services · 22 lecciones

UNIDAD 4 - AWS Managed AI Services

  • Intro: AWS Managed AI ServicesVideo · 1 min
  • Why AWS Managed Services?Video · 2 min
  • Amazon ComprehendVideo · 4 min
  • Amazon Comprehend Custom ModelsVideo · 1 min
  • Amazon Comprehend - Hands OnVideo · 4 min
  • Amazon TranslateVideo · 1 min
  • Amazon Translate - Hands OnVideo · 3 min
  • Amazon TranscribeVideo · 4 min
  • Amazon Transcribe - Hands OnVideo · 2 min
  • Amazon PollyVideo · 2 min
  • Amazon Polly - Hands OnVideo · 2 min
  • Amazon RekognitionVideo · 6 min
  • Amazon Rekognition - Hands OnVideo · 3 min
  • Amazon LexVideo · 2 min
  • Amazon Lex - Hands OnVideo · 5 min
  • Amazon PersonalizeVideo · 3 min
  • Amazon TextractVideo · 1 min
  • Amazon Textract - Hands OnVideo · 3 min
  • Amazon QuickVideo · 5 min
  • Amazon's Hardware for AIVideo · 5 min
  • Amazon's Hardware for AI - Hands OnVideo · 2 min
  • Quiz: AWS Managed AI ServicesCuestionario · 0 min
UNIDAD 5 - SageMaker Built-In Algorithms · 22 lecciones

UNIDAD 5 - SageMaker Built-In Algorithms

  • Intro: SageMaker Built-In AlgorithmsVideo · 1 min
  • Introducing Amazon SageMakerVideo · 10 min
  • SageMaker Input ModesVideo · 3 min
  • Linear Learner in SageMakerVideo · 5 min
  • XGBoost in SageMakerVideo · 5 min
  • LightGBM in SageMakerVideo · 3 min
  • Seq2Seq in SageMakerVideo · 5 min
  • DeepAR in SageMakerVideo · 4 min
  • BlazingText in SageMakerVideo · 5 min
  • Object2Vec in SageMakerVideo · 5 min
  • Object Detection in SageMakerVideo · 4 min
  • Image Classification in SageMakerVideo · 3 min
  • Semantic Segmentation in SageMakerVideo · 3 min
  • Random Cut Forest in SageMakerVideo · 3 min
  • Neural Topic Model in SageMakerVideo · 3 min
  • Latent Dirichlet Allocation (LDA) in SageMakerVideo · 3 min
  • K-Nearest-Neighbors (KNN) in SageMakerVideo · 3 min
  • K-Means Clustering in SageMakerVideo · 5 min
  • Principal Component Analysis (PCA) in SageMakerVideo · 3 min
  • Factorization Machines in SageMakerVideo · 4 min
  • IP Insights in SageMakerVideo · 3 min
  • Quiz: SageMaker Built-In AlgorithmsCuestionario · 0 min
UNIDAD 6 - Model Training, Tuning, and Evaluation · 28 lecciones

UNIDAD 6 - Model Training, Tuning, and Evaluation

  • Intro: Model Training, Tuning, and EvaluationVideo · 1 min
  • Introduction to Deep LearningVideo · 2 min
  • Deep Learning History and OverviewVideo · 14 min
  • Activation FunctionsVideo · 11 min
  • Convolutional Neural NetworksVideo · 12 min
  • Recurrent Neural NetworksVideo · 11 min
  • Tuning Neural NetworksVideo · 5 min
  • Regularization Techniques for Neural Networks (Dropout, Early Stopping)Video · 7 min
  • L1 and L2 RegularizationVideo · 3 min
  • The Vanishing Gradient ProblemVideo · 4 min
  • The Confusion MatrixVideo · 7 min
  • Precision, Recall, F1, AUC, and moreVideo · 8 min
  • RMSE, R-squared, MAEVideo · 2 min
  • Ensemble Methods: Bagging and BoostingVideo · 4 min
  • Automatic Model Tuning (AMT) in SageMakerVideo · 6 min
  • Hyperparameter Tuning in AMTVideo · 5 min
  • SageMaker Autopilot / AutoMLVideo · 9 min
  • SageMaker Studio, SageMaker ExperimentsVideo · 2 min
  • Debugging Model Convergence and Training PerformanceVideo · 7 min
  • SageMaker Model RegistryVideo · 3 min
  • MLFlow for LLM ExperimentationVideo · 2 min
  • Analyzing Training Jobs with TensorBoardVideo · 1 min
  • SageMaker Training at Large Scale: Training Compiler, Warm PoolsVideo · 4 min
  • SageMaker Checkpointing, Cluster Health Checks, Automatic RestartsVideo · 2 min
  • SageMaker Distributed Training Libraries and Distributed Data ParallelismVideo · 5 min
  • SageMaker Model Parallelism LibraryVideo · 3 min
  • Elastic Fabric Adapter (EFA) and MiCSVideo · 4 min
  • Quiz: Model Tuning, Training, and EvaluationCuestionario · 0 min
UNIDAD 7 - Generative AI Model Fundamentals · 14 lecciones

UNIDAD 7 - Generative AI Model Fundamentals

  • Intro: Generative AI Model FundamentalsVideo · 1 min
  • The Transformer ArchitectureVideo · 9 min
  • Self-Attention and Attention-Based Neural NetworksVideo · 8 min
  • Applications of TransformersVideo · 4 min
  • Generative Pre-Trained Transformers: How they Work, Part 1Video · 12 min
  • Generative Pre-Trained Transformers: How they Work, Part 2Video · 2 min
  • LLM Key Terms and Controls (tokens, embeddings, temperature, etc.)Video · 3 min
  • Fine-Tuning and Transfer Learning with TransformersVideo · 3 min
  • Lab: Tokenization and Positional Encoding with SageMaker NotebooksVideo · 11 min
  • Lab: Multi-Headed, Masked Self-Attention in SageMakerVideo · 4 min
  • Lab: Using GPT within a SageMaker NotebookVideo · 4 min
  • AWS Foundation Models and SageMaker JumpStart with Generative AIVideo · 6 min
  • Lab: Using Amazon SageMaker JumpStart with HuggingfaceVideo · 15 min
  • Quiz: Generative AI Model FundamentalsCuestionario · 0 min
UNIDAD 8 - Building Generative AI Applications with Bedrock · 47 lecciones

UNIDAD 8 - Building Generative AI Applications with Bedrock

  • Intro: Building Generative AI Applications with BedrockVideo · 0 min
  • Building Generative AI with Amazon Bedrock and Foundation ModelsVideo · 8 min
  • Bedrock Credentials: API Keys vs. IAMVideo · 3 min
  • A note on Bedrock model accessLectura · 0 min
  • Lab: Chat, Text, and Image Foundation Models in the Bedrock PlaygroundVideo · 13 min
  • Fine-Tuning Custom Models and Continuous Pre-Training with BedrockVideo · 8 min
  • Low-Rank Adaptation (LoRA) - How Fine-Tuning WorksVideo · 3 min
  • Catastrophic ForgettingVideo · 2 min
  • Model DistillationVideo · 4 min
  • Retrieval-Augmented Generation (RAG) Fundamentals with BedrockVideo · 8 min
  • Vector Stores and Embeddings with Amazon Bedrock Knowledge BasesVideo · 8 min
  • Optimizing your Vectors Store and EmbeddingsVideo · 8 min
  • Mulitmodal Models and Pipelines with BedrockVideo · 3 min
  • Implementing RAG with Amazon Bedrock Knowledge BasesVideo · 5 min
  • Lab: Building and Querying a RAG System with Amazon Bedrock Knowledge BasesVideo · 16 min
  • Remember to delete your OpenSearch collection!Lectura · 0 min
  • Vector Stores for Bedrock: OpenSearch, S3 Vectors, Aurora pgvectorVideo · 7 min
  • S3 Vectors - Hands OnVideo · 10 min
  • Pre-Retrieval and Chunking StrategiesVideo · 8 min
  • Managing Chunking Strategies with BedrockVideo · 7 min
  • Re-Ranker Models in Amazon BedrockVideo · 2 min
  • Content Filtering with Amazon Bedrock GuardrailsVideo · 4 min
  • Lab: Building and Testing Guardrails with Amazon BedrockVideo · 10 min
  • Intro to Prompt EngineeringVideo · 4 min
  • Anatomy of a PromptVideo · 2 min
  • Prompt Best PracticesVideo · 4 min
  • Types of PromptsVideo · 3 min
  • Prompt Management with Amazon BedrockVideo · 5 min
  • Basics of LLM AgentsVideo · 5 min
  • Multi-Agent WorkflowsVideo · 9 min
  • Short and Long-Term Agent MemoryVideo · 4 min
  • Amazon AgentCore IntroductionVideo · 7 min
  • AgentCore Memory and ToolsVideo · 4 min
  • AgentCore Bedrock Import, Gateway, and IdentityVideo · 4 min
  • AgentCore PoliciesVideo · 9 min
  • AgentCore EvaluatorsVideo · 12 min
  • Lab: Amazon Bedrock AgentCore HarnessesVideo · 6 min
  • Handling AgentCore Failure ModesVideo · 2 min
  • Other Amazon Bedrock Features (Model Evaluation, Bedrock Studio, Watermarks)Video · 4 min
  • Model Context Protocol (MCP)Video · 5 min
  • Humans in the LoopVideo · 3 min
  • Cost-Effective Model SelectionVideo · 5 min
  • Evaluation Techniques for Foundation ModelsVideo · 7 min
  • Evaluating LLM's with ROUGE, BLUE, and BERT scoresVideo · 5 min
  • Amazon Bedrock Model EvaluationsVideo · 4 min
  • Deployment Validation SystemsVideo · 3 min
  • Quiz: Developing Generative AI Applications with BedrockCuestionario · 0 min
UNIDAD 9 - Machine Learning and AI Operations (MLOps/ AIOps) with AWS · 44 lecciones

UNIDAD 9 - Machine Learning and AI Operations (MLOps/ AIOps) with AWS

  • Intro: MLOpsVideo · 1 min
  • Optimizing Foundation Model DeploymentsVideo · 6 min
  • Deployment Guardrails and Shadow TestsVideo · 2 min
  • SageMaker's Inner Details and Production VariantsVideo · 11 min
  • SageMaker Resource Management: Instance Types and Spot TrainingVideo · 3 min
  • SageMaker Resource Management: Automatic ScalingVideo · 2 min
  • Token EfficiencyVideo · 6 min
  • Maximizing Resource Utilization and ThroughputVideo · 5 min
  • SageMaker: Deploying Models for InferenceVideo · 5 min
  • SageMaker Serverless Inference and Inference RecommenderVideo · 4 min
  • AI-Specific Cost DriversVideo · 7 min
  • SageMaker Inference PipelinesVideo · 2 min
  • Model Performance Readiness and Drift DetectionVideo · 6 min
  • Monitoring ML Models in ProductionVideo · 5 min
  • MLOps with SageMaker, Kubernetes, SageMaker Projects, and SageMaker PipelinesVideo · 5 min
  • What is Docker?Video · 5 min
  • Amazon ECSVideo · 7 min
  • Amazon ECS - Create Cluster - Hands OnVideo · 6 min
  • Amazon ECS - Create Service - Hands OnVideo · 10 min
  • Amazon ECRVideo · 2 min
  • Amazon EKSVideo · 4 min
  • Amazon EKS - Hands OnVideo · 8 min
  • AWS BatchVideo · 2 min
  • AWS CloudFormationVideo · 4 min
  • AWS CloudFormation - Hands OnVideo · 9 min
  • AWS CDKVideo · 5 min
  • AWS CDK - Hands OnVideo · 12 min
  • AWS CodeDeployVideo · 2 min
  • AWS CodeBuildVideo · 1 min
  • AWS CodePipelineVideo · 2 min
  • AWS CodeCommit and CodeConnectionsVideo · 2 min
  • CI/CD for AI ArtifactsVideo · 3 min
  • Automating RAG UpdatesVideo · 2 min
  • Prompt / GenAI Regression Testing in CI/CDVideo · 5 min
  • Git Review: Architecture and CommandsVideo · 6 min
  • Gitflow, GitHub FlowVideo · 3 min
  • Amazon EventBridgeVideo · 7 min
  • Amazon EventBridge - Hands OnVideo · 6 min
  • AWS Step FunctionsVideo · 4 min
  • AWS Step Functions: State Machines and StatesVideo · 3 min
  • Amazon Managed Workflows for Apache Airflow (MWAA)Video · 5 min
  • AWS Lake FormationVideo · 9 min
  • Lake Formation Data FiltersVideo · 2 min
  • Quiz: MLOpsCuestionario · 0 min
UNIDAD 10 - Security, Identity, and Compliance · 25 lecciones

UNIDAD 10 - Security, Identity, and Compliance

  • Intro: Security, Identity, and ComplianceVideo · 0 min
  • Principle of Least PrivilegeVideo · 2 min
  • SageMaker Security: Encryption at Rest and in TransitVideo · 5 min
  • SageMaker Security: VPC's, IAM, Logging and MonitoringVideo · 4 min
  • IAM Introduction: Users, Groups, PoliciesVideo · 3 min
  • IAM Users & Groups - Hands OnVideo · 6 min
  • AWS Console Simultaneous Sign-inVideo · 2 min
  • IAM PoliciesVideo · 3 min
  • IAM Policies - Hands OnVideo · 8 min
  • IAM MFAVideo · 4 min
  • IAM MFA - Hands OnVideo · 4 min
  • IAM RolesVideo · 2 min
  • IAM Roles - Hands OnVideo · 2 min
  • Encryption 101Video · 4 min
  • AWS KMSVideo · 7 min
  • AWS KMS - Hands OnVideo · 10 min
  • Amazon MacieVideo · 1 min
  • AWS Secrets ManagerVideo · 2 min
  • AWS Secrets Manager - Hands OnVideo · 4 min
  • VPC, Subnets, Internet Gateway, NAT GatewayVideo · 5 min
  • NACL, Security Groups, VPC Flow LogsVideo · 5 min
  • VPC Peering, Endpoints, VPN, Direct ConnectVideo · 5 min
  • VPC Cheat Sheet & Closing CommentsVideo · 3 min
  • AWS PrivateLinkVideo · 2 min
  • Quiz: Security, Identity, and ComplianceCuestionario · 0 min
UNIDAD 11 - Management and Governance · 22 lecciones

UNIDAD 11 - Management and Governance

  • Intro: Management and GovernanceVideo · 0 min
  • Amazon CloudWatch - MetricsVideo · 4 min
  • Amazon CloudWatch - LogsVideo · 6 min
  • Amazon CloudWatch - Logs - Hands OnVideo · 9 min
  • Amazon CloudWatch - Logs Unified AgentVideo · 3 min
  • Amazon CloudWatch - AlarmsVideo · 4 min
  • Amazon CloudWatch - Alarms - Hands OnVideo · 5 min
  • AWS X-RayVideo · 7 min
  • AWS X-Ray - Hands OnVideo · 8 min
  • NOTE: Amazon QuickSight is being rebranded as Amazon Quick SuiteLectura · 0 min
  • Overview of Amazon QuicksightVideo · 11 min
  • Types of Visualizations, and When to Use ThemVideo · 9 min
  • Amazon CloudTrailVideo · 6 min
  • Amazon CloudTrail - Hands OnVideo · 2 min
  • AWS ConfigVideo · 5 min
  • AWS Config - Hands OnVideo · 10 min
  • CloudWatch vs. CloudTrail vs. ConfigVideo · 2 min
  • AWS BudgetsVideo · 1 min
  • AWS Budgets - Hands OnVideo · 8 min
  • AWS Cost ExplorerVideo · 2 min
  • AWS Trusted AdvisorVideo · 3 min
  • Quiz: Management and GovernanceCuestionario · 0 min
UNIDAD 12 - Machine Learning Best Practices · 4 lecciones

UNIDAD 12 - Machine Learning Best Practices

  • Intro: Machine Learning Best PracticesVideo · 1 min
  • AWS Tools for Responsible AIVideo · 7 min
  • AWS Well-Architected Machine Learning LensVideo · 1 min
  • Quiz: Machine Learning Best PracticesCuestionario · 0 min
UNIDAD 13 - Practice Test · 1 lecciones

UNIDAD 13 - Practice Test

  • Full-length Practice Exam: MLA-C02 - AWS Certified Machine Learning Engineer AssociateCuestionario · 2 h 10 min
UNIDAD 14 - Wrapping Up · 7 lecciones

UNIDAD 14 - Wrapping Up

  • Intro: Wrapping UpVideo · 0 min
  • Additional Training ResourcesVideo · 3 min
  • What to ExpectVideo · 4 min
  • Exam Walkthrough and SignupVideo · 5 min
  • Save 50% on your AWS Exam Cost!Video · 1 min
  • Get an Extra 30 Minutes on your AWS Exam - Non Native English Speakers OnlyVideo · 1 min
  • Bonus LectureLectura · 0 min
Certificado oficial

Tu certificado lo emite la SEP, no solo una plataforma

Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.

Tu certificado con INEC

  • Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
  • Documento oficial con folio verificable en línea
  • Lo otorga la Universidad Tecnológica Fidel Velázquez

Otras plataformas en línea

  • Constancia privada emitida por la misma plataforma
  • Solo acredita horas cursadas o asistencia
  • Sin respaldo de una autoridad educativa
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Tu itinerario, de la inscripción al certificado

  1. 1

    Inscripción con pago único

    Pagas $2,800 MXN una sola vez y entras de inmediato al curso.

  2. 2

    Estudias a tu ritmo

    14 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.

  3. 3

    Cuestionarios por unidad

    12 cuestionarios para comprobar lo aprendido.

  4. 4

    Certificado

    Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.

Lo que obtienes

Un certificado oficial de la SEP

Muestra del certificado: AWS Certified Machine Learning Engineer Associate: Hands On!

Muestra · verificable por folio y QR

  • Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
  • Contenido impartido por Frank Kane.
  • Folio y QR verificables para compartirlo con quien te contrate.
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  • 14 unidades · 330 lecciones · 60 h
  • 12 meses de acceso
  • 12 cuestionarios de evaluación
  • Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
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12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.

¿Quién imparte el contenido?

El curso es impartido por Frank Kane; INEC gestiona tu inscripción, evaluación y certificado.

¿Qué pasa cuando vence mi acceso?

Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.

Certificado emitido por la SEP a través del Gobierno del Estado de México · AWS Certified Machine Learning Engineer Associate: Hands On!

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