| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction to Healthcare AI Engineering | |||
| 1. Introduction.mp4 | 77.1 MB | ||
| 10 - Module 9 Edge Computing and IoT Health Integration | |||
| 100. Lab 90 Validating end-to-end edge data integrity checks.html | 23.9 KB | ||
| 11 - Module 10 Sovereign Deployment and Final Capstone | |||
| 101. Sovereign Deployment and Final Capstone.mp4 | 95.8 MB | ||
| 102. Lab 91 Provisioning multi-node Kubernetes clusters via kubeadm.html | 25.8 KB | ||
| 103. Lab 92 Deploying ArgoCD for GitOps continuous delivery.html | 24.7 KB | ||
| 104. Lab 93 Configuring ExternalDNS and cert-manager controllers.html | 28.2 KB | ||
| 105. Lab 94 Assembling the complete microservices helm chart.html | 29.8 KB | ||
| 106. Lab 95 Executing end-to-end platform smoke test scripts.html | 21 KB | ||
| 107. Lab 96 Validating high-availability failover mechanisms.html | 26.9 KB | ||
| 108. Lab 97 Performing load testing via distributed locust workers.html | 22.1 KB | ||
| 109. Lab 98 Conducting final regulatory compliance checklist audit.html | 24.1 KB | ||
| 110. Lab 99 Packaging system documentation and runbooks.html | 29 KB | ||
| 111. Lab 100 Capstone Project Autonomous Tele-Diagnostic Mesh.html | 34.7 KB | ||
| 12 - Conclusion | |||
| 112. Conclusion.mp4 | 95.8 MB | ||
| 2 - Module 1 Foundations and Interoperability Setup | |||
| 10. Lab 8 Establishing secure TLS local certificate authorities.html | 43.6 KB | ||
| 11. Lab 9 Configuring Nginx reverse proxy with SSL termination.html | 40.5 KB | ||
| 12. Lab 10 Verifying initial end-to-end HTTP secure health checks.html | 33 KB | ||
| 2. Foundations and Interoperability Setup.mp4 | 40.6 MB | ||
| 3 - Module 2 Medical Data Pipelines and Ingestion | |||
| 13. Medical Data Pipelines and Ingestion.mp4 | 87.8 MB | ||
| 14. Lab 11 Designing ingestion workers for HL7 v2 messages.html | 57.2 KB | ||
| 15. Lab 12 Translating HL7 v2 ADT events into FHIR resources.html | 70.4 KB | ||
| 16. Lab 13 Setting up Apache Kafka for clinical event streams.html | 38.7 KB | ||
| 17. Lab 14 Configuring Kafka topics for high-throughput vitals.html | 39.8 KB | ||
| 18. Lab 15 Writing Python consumers for real-time telemetry.html | 39.5 KB | ||
| 19. Lab 16 Implementing schema registry checks for payloads.html | 48.7 KB | ||
| 20. Lab 17 Storing time-series vital signs in InfluxDB.html | 50.3 KB | ||
| 21. Lab 18 Creating automated downsampling retention policies.html | 38.3 KB | ||
| 22. Lab 19 Integrating Grafana dashboards for vital metrics.html | 48.2 KB | ||
| 23. Lab 20 Validating stream pipeline fault tolerance limits.html | 52.2 KB | ||
| 4 - Module 3 Secure Telemedicine Infrastructure | |||
| 24. Secure Telemedicine Infrastructure.mp4 | 85.6 MB | ||
| 25. Lab 21 Architecting WebRTC signaling servers with Node.js.html | 56.4 KB | ||
| 26. Lab 22 Deploying TURN and STUN servers via Coturn.html | 41.7 KB | ||
| 27. Lab 23 Establishing encrypted peer-to-peer media paths.html | 49.8 KB | ||
| 28. Lab 24 Building secure video session management APIs.html | 48.9 KB | ||
| 29. Lab 25 Implementing JWT role-based access for rooms.html | 35.9 KB | ||
| 30. Lab 26 Capturing encrypted session audio and video chunks.html | 34.1 KB | ||
| 31. Lab 27 Integrating Web Audio API for noise suppression.html | 48.4 KB | ||
| 32. Lab 28 Setting up live text chat channels over WebSockets.html | 45.9 KB | ||
| 33. Lab 29 Enforcing strict session timeouts and revocation.html | 44.7 KB | ||
| 34. Lab 30 Stress testing concurrent telemedicine streams.html | 38.5 KB | ||
| 5 - Module 4 Clinical Decision Support Systems | |||
| 35. Clinical Decision Support Systems.mp4 | 82.9 MB | ||
| 36. Lab 31 Establishing rule engines with Drools or Python.html | 37 KB | ||
| 37. Lab 32 Writing clinical alert logic for abnormal labs.html | 41.9 KB | ||
| 38. Lab 33 Triggering FHIR Flag resources upon threshold breach.html | 39.6 KB | ||
| 39. Lab 34 Building asynchronous notification worker queues.html | 38.5 KB | ||
| 40. Lab 35 Integrating SMTP and Webhook alert dispatchers.html | 43.2 KB | ||
| 41. Lab 36 Designing physician review dashboard backends.html | 55.4 KB | ||
| 42. Lab 37 Implementing audit logging for clinical decisions.html | 43.1 KB | ||
| 43. Lab 38 Securing decision endpoints with OAuth2 scopes.html | 50.2 KB | ||
| 44. Lab 39 Testing rule engine latency under heavy load.html | 50.1 KB | ||
| 45. Lab 40 Validating clinical alert accuracy via test suites.html | 37.7 KB | ||
| 6 - Module 5 AI Diagnostics Pipeline Engineering | |||
| 46. AI Diagnostics Pipeline Engineering.mp4 | 81 MB | ||
| 47. Lab 41 Preparing DICOM imaging datasets for processing.html | 41.8 KB | ||
| 48. Lab 42 Building FastAPI wrappers for PyTorch models.html | 44 KB | ||
| 49. Lab 43 Containerizing GPU-enabled diagnostic inference apps.html | 45.2 KB | ||
| 50. Lab 44 Implementing asynchronous job queues with Celery.html | 44.8 KB | ||
| 51. Lab 45 Managing model weights using versioned storage.html | 53.1 KB | ||
| 52. Lab 46 Optimizing ONNX runtimes for faster inference.html | 45.9 KB | ||
| 53. Lab 47 Creating REST endpoints for image classification.html | 56.7 KB | ||
| 54. Lab 48 Storing diagnostic results as DiagnosticReports.html | 41.4 KB | ||
| 55. Lab 49 Benchmarking inference latency and memory usage.html | 43.7 KB | ||
| 56. Lab 50 Verifying output consistency across test batches.html | 37.8 KB | ||
| 7 - Module 6 Advanced Analytics and Data Governance | |||
| 57. Advanced Analytics and Data Governance.mp4 | 87.2 MB | ||
| 58. Lab 51 Deploying Apache Spark for population analytics.html | 39.6 KB | ||
| 59. Lab 52 Extracting FHIR data into analytical Parquet files.html | 57.2 KB | ||
| 60. Lab 53 Anonymizing patient identifiers for research queries.html | 54.3 KB | ||
| 61. Lab 54 Implementing differential privacy algorithms in code.html | 36.1 KB | ||
| 62. Lab 55 Setting up data lineage tracking with OpenLineage.html | 23.4 KB | ||
| 63. Lab 56 Building automated compliance validation checks.html | 24 KB | ||
| 64. Lab 57 Configuring role-based column masking policies.html | 23.7 KB | ||
| 65. Lab 58 Executing secure multi-tenant analytical queries.html | 24.5 KB | ||
| 66. Lab 59 Exporting aggregated public health metrics safely.html | 31.3 KB | ||
| 67. Lab 60 Auditing data access logs for regulatory review.html | 23.1 KB | ||
| 8 - Module 7 Security, Hardening, and Compliance | |||
| 68. Security, Hardening, and Compliance.mp4 | 95.6 MB | ||
| 69. Lab 61 Hardening Linux kernel parameters for security.html | 20.5 KB | ||
| 70. Lab 62 Implementing Keycloak for unified IAM and SSO.html | 22.9 KB | ||
| 71. Lab 63 Configuring fine-grained SMART on FHIR scopes.html | 26.5 KB | ||
| 72. Lab 64 Enforcing network microsegmentation with Cilium.html | 33.9 KB | ||
| 73. Lab 65 Scanning container images for vulnerabilities via Trivy.html | 24 KB | ||
| 74. Lab 66 Establishing automated secrets management with Vault.html | 25 KB | ||
| 75. Lab 67 Implementing immutable audit trails for database ops.html | 31.7 KB | ||
| 76. Lab 68 Conducting automated penetration tests on APIs.html | 25.8 KB | ||
| 77. Lab 69 Configuring disaster recovery database backups.html | 26.3 KB | ||
| 78. Lab 70 Executing simulated ransomware recovery drills.html | 25.5 KB | ||
| 9 - Module 8 Observability and Site Reliability Engineering | |||
| 79. Observability and Site Reliability Engineering.mp4 | 79.4 MB | ||
| 80. Lab 71 Deploying Prometheus for cluster metric collection.html | 25.2 KB | ||
| 81. Lab 72 Instrumenting microservices with OpenTelemetry.html | 31.1 KB | ||
| 82. Lab 73 Configuring Grafana Loki for centralized logging.html | 22.1 KB | ||
| 83. Lab 74 Setting up distributed tracing across API gateways.html | 23.8 KB | ||
| 84. Lab 75 Defining SLIs and SLOs for clinical response times.html | 25.8 KB | ||
| 85. Lab 76 Creating intelligent alert routing rules in Alertmanager.html | 26 KB | ||
| 86. Lab 77 Simulating network partitions in chaos engineering tests.html | 27.9 KB | ||
| 87. Lab 78 Optimizing database query performance indices.html | 24 KB | ||
| 88. Lab 79 Implementing auto-scaling rules based on queue depth.html | 26.6 KB | ||
| 89. Lab 80 Reviewing post-incident analysis reports and fixes.html | 23.6 KB | ||
| 3. Lab 1 Setting up Linux container runtime environments.html | 46.1 KB | ||
| 4. Lab 2 Initializing secure local network namespaces.html | 33.2 KB | ||
| 5. Lab 3 Configuring PostgreSQL for clinical data persistence.html | 39.3 KB | ||
| 6. Lab 4 Deploying a standalone HAPI FHIR JPA server instance.html | 37.2 KB | ||
| 7. Lab 5 Validating Patient resource schemas via curl requests.html | 38.5 KB | ||
| 8. Lab 6 Constructing JSON payloads for clinical observations.html | 44.8 KB | ||
| 9. Lab 7 Building automated schema validation test scripts.html | 39.6 KB | ||
| 90. Edge Computing and IoT Health Integration.mp4 | 75.2 MB | ||
| 91. Lab 81 Configuring MQTT brokers for medical IoT devices.html | 25.1 KB | ||
| 92. Lab 82 Programming ESP32 firmware for sensor telemetry.html | 22.7 KB | ||
| 93. Lab 83 Implementing TLS client certificates on edge nodes.html | 26.4 KB | ||
| 94. Lab 84 Building lightweight edge data filtering daemons.html | 22.5 KB | ||
| 95. Lab 85 Handling intermittent network connectivity offline.html | 23.4 KB | ||
| 96. Lab 86 Synchronizing edge buffers upon reconnection.html | 24.8 KB | ||
| 97. Lab 87 Deploying K3s lightweight Kubernetes on edge hosts.html | 27.7 KB | ||
| 98. Lab 88 Managing remote device updates securely over-the-air.html | 25.7 KB | ||
| 99. Lab 89 Monitoring edge hardware vitals and temperature.html | 27 KB |
Healthcare AI Engineering: 100 Labs | HL7 FHIR & Kubernetes
https://WebToolTip.com
Published 8/2026
Created by Dar Al Taqniya
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 112 Lectures ( 19h 49m ) | Size: 987.6 MB
From isolated coding to production-grade Healthcare AI, FHIR, Telemedicine & Kubernetes engineering.
What you'll learn
⚡ Architect enterprise-grade HL7 FHIR healthcare platforms from the ground up using entirely open-source technologies.
⚡ Deploy secure, encrypted telemedicine infrastructure with WebRTC, TURN/STUN, TLS, OAuth2, JWT, and API gateways.
⚡ Design real-time healthcare data pipelines using Kafka, PostgreSQL, InfluxDB, Grafana, and Python.
⚡ Build AI-powered medical inference services using FastAPI, PyTorch, ONNX Runtime, and containerized microservices.
⚡ Implement production-level security including Keycloak, Vault, SMART on FHIR, Cilium, Trivy, immutable audit logging, and disaster recovery.
⚡ Master healthcare observability through Prometheus, Grafana, Loki, OpenTelemetry, distributed tracing, and SRE practices.
⚡ Engineer resilient IoT healthcare systems using MQTT, ESP32, Kubernetes Edge (K3s), secure OTA updates, and offline synchronization.
⚡ Automate Kubernetes deployments using GitOps, ArgoCD, Helm, cert-manager, ExternalDNS, and production CI/CD principles.
⚡ Validate healthcare systems against interoperability, security, compliance, resilience, and performance requirements used by modern enterprises.
⚡ Complete a production-scale Autonomous Tele-Diagnostic Mesh integrating Healthcare AI, Telemedicine, Edge Computing, Kubernetes, Security, and FHIR interoperabi
Requirements
❗ Students should have
❗ 1. Basic computer literacy
❗ 2. Basic understanding of networking concepts is helpful but not required
❗ 3. Basic familiarity with Linux command line is recommended
❗ 4. Curiosity to build production systems
❗ Software
❗ 1. Ubuntu Linux 24.04 LTS (recommended)
❗ 2. Python 3.12+
❗ 3. Docker Engine
❗ 4. Kubernetes (kubeadm or K3s during later labs)
❗ 5. Visual Studio Code
❗ Minimum Hardware Requirement
❗ 1. Quad-Core CPU
❗ 2. 16 GB RAM
❗ 3. 100 GB free SSD storage
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| 303 MB | freecoursewb | 1 day | 0 | 0 | |
| 1.5 GB | freecoursewb | 2 weeks | 16 | 2 | |
| 561.9 MB | freecoursewb | 1 month | 8 | 6 | |
| 849.2 MB | freecoursewb | 1 month | 4 | 2 | |
| 2.5 GB | freecoursewb | 1 month | 6 | 8 |
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